Diabetes & Metabolism Journal

Original Articles

Complications
Cardiorespiratory Fitness and Risk of Microvascular Complications in Patients with Type 2 Diabetes Mellitus: Anning Xu, Haofeng Zhou, Chaofan Wang, Qian He, Ping Wu, Wenjing Wu, Hongjiang Wu, Alice P.S. Kong, Huanyi Cao, Haixia Guan, Yunjiu Cheng; Received November 5, 2025 Accepted February 10, 2026 Published online May 18, 2026; DOI: https://doi.org/10.4093/dmj.2025.1109 [Epub ahead of print]

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To investigate the association between cardiorespiratory fitness (CRF) and the risk of incident microvascular complications in patients with type 2 diabetes mellitus (T2DM), and to assess the effect of genetic risk and potential mediation by circulating biomarkers.
Methods
This prospective analysis included 3,102 adults with T2DM from the UK Biobank. CRF was estimated as maximal oxygen uptake using a submaximal cycle test and categorized as low, moderate, or high. Cox proportional hazards models were used to estimate hazard ratios (HRs) for incident diabetic nephropathy, retinopathy, and neuropathy. Interactions with a polygenic risk score and mediating roles of biomarkers were evaluated.
Results
Over a median 12.47-year follow-up, 331 nephropathy, 268 retinopathy, and 88 neuropathy cases were recorded. Compared to low CRF, moderate and high CRF were associated with 22% (HR, 0.78; 95% confidence interval [CI], 0.61 to 0.99) and 45% (HR, 0.55; 95% CI, 0.36 to 0.85) lower risks of nephropathy, respectively. Each 1-metabolic equivalent of task increment in CRF was linked to 11% lower nephropathy risk. No significant associations were found for retinopathy or neuropathy. Genetic predisposition did not modify the association between CRF and diabetic nephropathy. Triglycerides and white blood cell count accounted for 7.46% and 12.88% of the association, respectively.
Conclusion
Higher CRF is independently associated with lower risk of diabetic nephropathy in T2DM, and genetic risk does not alter this relationship. The association was partially mediated by triglycerides and white blood cell count. Assessing CRF may improve risk stratification and prevention of diabetic kidney disease.

Lifestyle and Behavioral Interventions
Association between Changes in Physical Activity and Incident Depression among Patients with Newly Diagnosed Type 2 Diabetes Mellitus: Sangwoo Park, Back Kim, Hye Jun Kim, Sun Jae Park, Jihun Song, Jina Chung, Seogsong Jeong, Sang Min Park, Dae Ho Lee, Soo Jung Choi; Received August 17, 2025 Accepted December 18, 2025 Published online February 23, 2026; DOI: https://doi.org/10.4093/dmj.2025.0766 [Epub ahead of print]

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This study aims to investigate the relationship between changes in physical activity patterns following a new diagnosis of type 2 diabetes mellitus (T2DM) and the risk of developing depression.
Methods
This study utilized comprehensive diabetes data from the National Health Insurance Service of South Korea. From this dataset, we included 254,619 individuals newly diagnosed with T2DM between 2009 and 2015 who had health examination data within 2 years before and after their diagnosis date and no prior history of depression. Physical activity levels were quantified using the metabolic equivalent of task (MET) method.
Results
Compared to individuals with 0 MET-min/wk of physical activity prior to a new T2DM diagnosis, those who increased their activity levels to 500–999 MET-min/wk after diagnosis showed a 23% reduction in the risk of depression, while an increase to ≥1,000 MET-min/wk was associated with a 25% reduction in depression risk. Conversely, individuals with 1–499 MET-min/wk before diagnosis who became inactive after diagnosis experienced a 25% increased risk of depression. A similar trend of increased depression risk was observed in those who reduced their physical activity from 500–999 or ≥1,000 MET-min/wk.
Conclusion
Changes in physical activity levels before and after a new diagnosis of T2DM significantly influence the risk of developing depression, with increased activity reducing the risk and decreased activity elevating the risk. This finding underscores the importance of encouraging physical activity to support mental health in patients with newly diagnosed T2DM.

Pharmacotherapy
Efficacy and Safety of HD-6277, a Novel G Protein-Coupled Receptor 40 Agonist, in Individuals with Type 2 Diabetes Mellitus: A Double-Blind, Randomized, Placebo-Controlled, Parallel-Group, Multicenter Phase 2 Clinical Trial: Yong-ho Lee, Kyung Wan Min, Jun Hwa Hong, Soo Lim, Jae Myung Yu, Choon Hee Chung, Jun Sung Moon, Jong Chul Won, Chul Woo Ahn, Jie-Eun Lee, Tae Nyun Kim, Byung-Wan Lee; Diabetes Metab J. 2026;50(3):576-586. Published online December 19, 2025; DOI: https://doi.org/10.4093/dmj.2025.0528

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Background
This study assessed the efficacy and safety of HD-6277, a novel oral G protein-coupled receptor 40 (GPR40) agonist in adults with inadequate control of type 2 diabetes mellitus (T2DM).
Methods
This double-blind, randomized, placebo-controlled phase 2 trial recruited 112 individuals aged 18–75 years with T2DM and glycosylated hemoglobin (HbA1c) levels between 7.0% and 10.0% while on diet and exercise alone for at least 8 weeks before screening. Parallel-group randomized trials of HD-6277 (50 and 100 mg groups vs. placebo) were conducted for 12 weeks. The primary outcome was the change in HbA1c levels from baseline to week 12. Secondary outcomes included changes in HbA1c, fasting plasma glucose (FPG), postprandial glucose, insulin, glycoalbumin, and C-peptide at weeks 4, 8, and 12.
Results
At week 12, HD-6277 at 50 and 100 mg demonstrated statistically significant reductions in HbA1c compared to placebo, with least square (LS) mean differences of –0.73% (95% confidence interval [CI], –1.11 to –0.35; P=0.0002) and –0.85% (95% CI, –1.21 to –0.50; P<0.0001), respectively. Both doses also produced clinically meaningful reductions in FPG. Additionally, HD- 6277 at 100 mg significantly increased the insulinogenic index compared to placebo, with an LS mean difference of 1.91 (95% CI, 0.34 to 3.48; P=0.0175). No clinically relevant treatment-related adverse events were observed.
Conclusion
HD-6277 at 50 and 100 mg improved glycemic control and was well-tolerated in adults with T2DM inadequately managed with diet and exercise. GPR40 agonists may offer a promising new therapeutic option for T2DM.

Citations

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Revisiting GPR40 Agonist in Type 2 Diabetes Mellitus: A Cautious but Meaningful Return
Eun-Hee Cho
Diabetes & Metabolism Journal.2026; 50(3): 472. CrossRef

Reviews

Guideline/Statement/Fact Sheet
Bridging Evidence and Practice: A Consensus Statement from the Korean Diabetes Association on Diabetes Screening, Pharmacological Treatment and Severe Diabetes: Jong Han Choi, Shinae Kang, Soo-Kyung Kim, Won Jun Kim, Ji Min Kim, Jaehyun Bae, Jae-Seung Yun, Eonju Jeon, Young-Eun Kim, Jae Hyun Bae, Hun Jee Choe, Young Min Cho, Seung-Hyun Ko, Sang Yong Kim, Hae Jin Kim, You-Cheol Hwang, Min Kyong Moon, Suk Chon, Seon Mee Kang, Hyuk-Sang Kwon, Mi Kyung Kim, You-Bin Lee, Se Hee Min, Jung Hwan Park, Woo Je Lee, Bong-Soo Cha, Byung-Wan Lee; Diabetes Metab J. 2025;49(6):1155-1177. Published online November 1, 2025; DOI: https://doi.org/10.4093/dmj.2025.0978

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This Korean Diabetes Association (KDA) consensus statement bridges global evidence with the Korean clinical context, where large randomized and real-world data remain limited. Recommendations required ≥80% agreement by the committee of clinical practice guideline and approval by the board of directors. The statement comprises three domains: diabetes screening aligned with Korean epidemiology; pharmacologic management guided by pathophysiology and comorbidities; and a severity construct of “severe diabetes mellitus” that links complication-based staging with metabolic grading to match therapeutic intensity to disease complexity. Compared with prior KDA guidelines, this statement introduces substantive advances in three areas. First, screening recommendations are streamlined to emphasize risk-aligned, practical implementation rather than prescriptive test sequences. Second, pharmacologic management applies an individualized framework for drug selection that jointly considers pathophysiology and comorbidities. It operationalizes individualized selection by dominant pathophysiology (insulin resistance vs. insulin insufficiency) and coexisting conditions, and formalizes treatment dynamics—early combination, timely initiation of injectables, avoidance of overbasalization, and structured deintensification. It also prioritizes agents with proven cardiovascular and renal protection and elevates management of obesity and metabolic dysfunction-associated steatotic liver disease as central goals; clinically, insulin should be initiated promptly in hypercatabolic states or suspected islet failure, and technology-enabled care—including continuous glucose monitoring and automated insulin delivery—are integral across all stages. Third, the newly introduced severity construct underpins treatment-intensity decisions across domains without reiterating prescriptive algorithms. Collectively, these recommendations provide a coherent, context-appropriate framework for diabetes screening and management in Korea and identify priorities for future evidence generation.

Citations

Citations to this article as recorded by

Efficacy and safety of adding a fourth oral antidiabetic drug versus metformin dose escalation in patients with type 2 diabetes inadequately controlled on triple oral combination therapy (EFFORT): A 24‐week, randomized, open‐label, multicenter trial
So Ra Kim, Jun Hwa Hong, Sin Gon Kim, Soo‐Kyung Kim, Hyuk‐Sang Kwon, Jun Sung Moon, Jung Hwan Park, Jae Myung Yu, Bong‐Soo Cha, Byung‐Wan Lee
Diabetes, Obesity and Metabolism.2026; 28(4): 3305. CrossRef
Efficacy and safety of anagliptin added to metformin and empagliflozin 25 mg in patients with type 2 diabetes: a 24-week randomized, double-blind, placebo-controlled phase 3 trial with 28-week open-label extension
Jun Sung Moon, Kyung-Ah Han, Jae Myung Yu, Jong Chul Won, Jun Goo Kang, Soojin Park, Cheol-Young Park
Diabetes Research and Clinical Practice.2026; 236: 113272. CrossRef
Cardiometabolic 2.0: Redefining Cardiovascular Prevention Through SGLT-2 Inhibitors and GLP-1 Receptor Agonists
Maria-Daniela Tanasescu, Andrei-Mihnea Rosu, Alexandru Minca, Maria-Mihaela Grigorie, Delia Timofte, Dorin Ionescu
Life.2026; 16(5): 756. CrossRef

Guideline/Statement/Fact Sheet
Defining Severe Diabetes Mellitus: A Consensus Framework for Grading and Staging Diabetes Based on Pathophysiology and Complications: Jae Hyun Bae, Hun Jee Choe, Ye Seul Yang, Mi Hae Seo, Jong Han Choi, Gyuri Kim, Young Sang Lyu, Jeung Hun Han, Shinae Kang, Won Jun Kim, Kyung-Soo Kim, Young Min Cho, Bong Soo Cha, for the Severe Diabetes Mellitus Task Force of the Korean Diabetes Association; Diabetes Metab J. 2025;49(6):1141-1154. Published online October 28, 2025; DOI: https://doi.org/10.4093/dmj.2025.0739

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Diabetes mellitus comprises a heterogeneous group of metabolic disorders differing in etiology, clinical course, and outcomes. Traditional classifications, such as type 1 and type 2 diabetes mellitus, fail to capture the full heterogeneity, including variation in insulin deficiency, insulin resistance, and complication burden. To address these limitations, we propose the Diabetes Grade–Stage Classification, an integrated system that combines pathophysiology-based grading with complication-based staging. Grading quantifies metabolic dysfunction through the assessment of insulin deficiency and insulin resistance. In parallel, staging assesses the extent of target organ damage, particularly in the cardiovascular, renal, ocular, and nervous systems. Together, this framework enables a comprehensive assessment of disease status, identification of vulnerable or high-risk phenotypes, and implementation of risk-adapted management strategies. Clinically, it facilitates personalized care, promotes collaborative coordination, and strengthens physician–patient communication. Furthermore, this framework provides a scalable structure for integrating disease severity into both individual- and population-level interventions. Although the current criteria for grading and staging are based on expert consensus and selected clinical indicators, such as low C-peptide levels and advanced complications, further validation and refinement are needed. In conclusion, the grading and staging system provides an operational tool for classifying the severity of diabetes mellitus and has the potential to extend life expectancy and improve quality of life for people living with diabetes mellitus.

Citations

Citations to this article as recorded by

Material-driven glucose responsiveness in insulin delivery systems: carrier selection and performance
Zhihan Li, Jingge Jiang, Ziyu Zhu, Cheng Luo, Chunyi Xu, Chuanpin Chen, Guoqin Ren, Ruofei Huang, Dongjuan He
Frontiers in Endocrinology.2026;[Epub] CrossRef
Bridging Evidence and Practice: A Consensus Statement from the Korean Diabetes Association on Diabetes Screening, Pharmacological Treatment and Severe Diabetes
Jong Han Choi, Shinae Kang, Soo-Kyung Kim, Won Jun Kim, Ji Min Kim, Jaehyun Bae, Jae-Seung Yun, Eonju Jeon, Young-Eun Kim, Jae Hyun Bae, Hun Jee Choe, Young Min Cho, Seung-Hyun Ko, Sang Yong Kim, Hae Jin Kim, You-Cheol Hwang, Min Kyong Moon, Suk Chon, Seo
Diabetes & Metabolism Journal.2025; 49(6): 1155. CrossRef

Original Articles

Genetics
Elucidating the Epigenetic Landscape of Type 2 Diabetes Mellitus: A Multi-Omics Analysis Revealing Novel CpG Sites and Their Association with Cardiometabolic Traits: Ren-Hua Chung, Chun-Chao Wang, Djeane Debora Onthoni, Ben-Yang Liao, Tzu-Sheng Hsu, Eden R. Martin, Chao A. Hsiung, Wayne Huey-Herng Sheu, Hung-Yi Chiou; Diabetes Metab J. 2026;50(1):153-164. Published online October 28, 2025; DOI: https://doi.org/10.4093/dmj.2025.0041

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Background
Type 2 diabetes mellitus (T2DM) is a complex, multifactorial disease with a significant global burden. Although genome-wide association studies (GWAS) have identified many T2DM-associated variants, most lie in non-coding regions, making it difficult to interpret their functional roles.
Methods
We aimed to identify genetically regulated Cytosine–phosphate–Guanine (CpG) sites associated with T2DM by conducting a methylome-wide association study (MWAS), followed by Mendelian randomization (MR) and functional validation using human pancreatic cells and mouse models. MWAS was performed using summary statistics from large-scale GWAS and a DNA methylation (DNAm) prediction model to test associations between genetically predicted DNAm and T2DM.
Results
We identified 111 CpG sites significantly associated with T2DM in Europeans, including 8 novel sites near genes not previously linked to T2DM. These findings were replicated in independent datasets. Many CpGs also showed associations with cardiometabolic traits, highlighting shared epigenetic mechanisms. Trans-ethnic MR analysis confirmed consistent effects for six CpGs in East Asians. Functional analysis revealed that several CpGs regulate gene expression in human pancreatic α- and β-cells. Among them, 2´-5´-oligoadenylate synthetase like (OASL) expression, regulated by a significant CpG, was differentially expressed in α-cells of T2DM cases compared to controls. Supporting evidence from mouse models suggests a role for OASL in glucose regulation.
Conclusion
Our study identifies novel genetically regulated CpG sites associated with T2DM risk and highlights OASL as a potential epigenetic regulator of glucose metabolism in α-cells. These findings provide mechanistic insights into the epigenetic architecture of T2DM and suggest potential targets for cross-ethnic biomarker development and therapeutic intervention.

Citations

Citations to this article as recorded by

Unravelling the molecular mechanisms causal to type 2 diabetes across global populations and disease-relevant tissues
Ozvan Bocher, Ana Luiza Arruda, Satoshi Yoshiji, Chi Zhao, Alicia Huerta-Chagoya, Chen-Yang Su, Xianyong Yin, Davis Cammann, Henry J. Taylor, Jingchun Chen, Ken Suzuki, Ravi Mandla, Ta-Yu Yang, Fumihiko Matsuda, Josep M. Mercader, Jason Flannick, James B.
Nature Metabolism.2026; 8(2): 506. CrossRef

Genetics
SLC30A8 Rare Variant Modify Contribution of Common Genetic and Lifestyle Factors toward Type 2 Diabetes Mellitus: Hye-Mi Jang, Mi Yeong Hwang, Yi Seul Park, Bong-Jo Kim, Young Jin Kim; Diabetes Metab J. 2026;50(2):385-395. Published online August 13, 2025; DOI: https://doi.org/10.4093/dmj.2024.0830

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Background
This study aimed to investigate the modifying effects of rare genetic variants on the risk of type 2 diabetes mellitus (T2DM) in the context of common genetic and lifestyle factors.
Methods
We conducted a comprehensive analysis of genetic and lifestyle factors associated with T2DM in a cohort of 146,284 Korean individuals. Among them, 4,603 individuals developed T2DM during the follow-up period of up to 17 years. We calculated a polygenic risk score (PRS) for T2DM and identified carriers of the rare allele I349F at SLC30A8. A Healthy Lifestyle Score (HLS) was also derived from physical activity, obesity, smoking, diet, and sodium intake levels. Using Cox proportional hazards models, we analyzed how PRS, HLS, and I349F influenced T2DM incidence.
Results
Results showed that high PRS and poor lifestyle were associated with increased risk. Remarkably, I349F carriers exhibited a lower T2DM prevalence (5.7% compared to 11.7% in non-carriers) and reduced the impact of high PRS from 23.18% to 12.70%. This trend was consistent across different HLS categories, with I349F carriers displaying a lower risk of T2DM.
Conclusion
The integration of common and rare genetic variants with lifestyle factors enhanced T2DM predictability in the Korean population. Our findings highlight the critical role of rare genetic variants in risk assessments and suggest that standard PRS and HLS metrics alone may be inadequate for predicting T2DM risk among carriers of such variants.

Citations

Citations to this article as recorded by

Personalised Nutrition in Obesity and Prediabetes: Do Genotypes Matter?
Magdalena Bossowska, Filip Bossowski, Edyta Adamska-Patruno, Katarzyna Maliszewska, Adam Krętowski
Nutrients.2026; 18(5): 815. CrossRef
Differential contributions of cardiovascular health-related lifestyle factors to epigenetic ageing: implications for healthy longevity
Da-eun Lee, Yi Seul Park, Hye-Mi Jang, Bong-Jo Kim, Young Jin Kim, Sung-il Cho, Kyeezu Kim
BMC Medicine.2025;[Epub] CrossRef

Cardiovascular Risk/Epidemiology
Associations of Cardiocerebrovascular Risks and Exercise according to Menopausal Status in Women with Type 2 Diabetes Mellitus: A Nationwide Cohort Study: Ji-Hee Ko, Sun Joon Moon, Kyung-Do Han, Hye-Mi Kwon, Se-Eun Park, Eun-Jung Rhee, Won-Young Lee; Diabetes Metab J. 2026;50(1):101-114. Published online August 13, 2025; DOI: https://doi.org/10.4093/dmj.2024.0487

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Menopausal status can increase the risk of cardiocerebrovascular diseases (CCVDs) in women with type 2 diabetes mellitus (T2DM). Regular exercise is well-known to reduce this risk. This study explored the impact of exercise on CCVD and mortality in women with T2DM according to their menopausal status.
Methods
A total of 32,477 premenopausal and 53,690 postmenopausal Korean women with T2DM aged 40 to 60 years from a national health examination cohort (2009 to 2018) were included. We evaluated risks for stroke, myocardial infarction (MI), and mortality based on exercise intensity. Cox proportional hazard regression analyses were performed to obtain the adjusted hazard ratio (aHR) and 95% confidence interval.
Results
Exercise reduced stroke, MI, and mortality risks in women with T2DM, regardless of menopausal status. The highest effects of aHR compared to the sedentary group were 0.68 for stroke, 0.66 for MI, and 0.81 for mortality. Postmenopausal women experienced significant MI risk reductions at most exercise intensities, with the greatest reduction in the ≥1,500 metabolic equivalent of task score group unlike premenopausal women. However, stroke and mortality risk reductions in postmenopausal women were less pronounced compared to premenopausal women.
Conclusion
Exercise reduces CCVD risk in women with T2DM across menopausal status. Postmenopausal women with T2DM had more benefits from exercise on MI but fewer benefits on stroke and mortality than premenopausal women. In premenopausal women with T2DM, exercise was not associated with a lower MI risk.

Basic and Translational Research
High-Fat Diet-Fed Kcnq1 Mutant Mice Have Reduced Pancreatic β-Cell Mass via Gene-Environment Interaction: Shun-ichiro Asahara, Hiroyuki Inoue, Yuka Ihara, Kyoko Teruyama, Asuka Imai, Chisako Hara, Mizuki Hara, Masako Seike, Aisha Yokoi, Nozomi Kido, Hirotaka Suzuki, Ayumi Kanno, Yuka Inaba, Hitoshi Watanabe, Go Shioi, Maki Kimura-Koyanagi, Michihiro Matsumoto, Hiroshi Inoue, Keiichi I. Nakayama, Wataru Ogawa, Masato Kasuga, Yoshiaki Kido; Diabetes Metab J. 2026;50(1):77-89. Published online July 30, 2025; DOI: https://doi.org/10.4093/dmj.2024.0790

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Background
The potassium voltage-gated channel subfamily Q member 1 (KCNQ1) gene has recently received much attention as a candidate susceptibility gene for type 2 diabetes mellitus, especially in Asian populations. We previously reported that Kcnq1 mutant mice exhibit reduced insulin secretion and hyperglycemia due to a decrease in pancreatic β-cell mass. Through in vivo and in vitro analyses, we ascertained that this mechanism is the result of the downregulation of the non-coding RNA ‘Kcnq1ot1,’ which is expressed in the paternal allele of the Kcnq1 gene region, causing an increase in the expression of the cell cycle inhibitor cyclin dependent kinase inhibitor 1C (Cdkn1c). It was found that decreased Kcnq1ot1 expression resulted in pancreatic β-cell failure; however, the degree of pancreatic β-cell volume reduction was not severe.
Methods
We induced obesity in Kcnq1ot1 truncation mice by feeding them a high-fat diet and evaluated pancreatic β-cell mass.
Results
In the present study, we reveal that CCAAT/enhancer binding protein beta (C/EBPβ), which is expressed at higher levels in pancreatic β-cells in obese individuals, further increases the expression of Cdkn1c, which is upregulated by the Kcnq1 gene mutation. We found that simultaneous Cdkn1c hypomethylation and C/EBPβ overexpression in pancreatic β-cells causes a synergistic decrease in pancreatic β-cell mass.
Conclusion
This finding suggests that the synergistic effect of genetic factors such as Kcnq1 gene mutations and environmental factors such as obesity and overeating, which lead to increased expression of C/EBPβ, contribute to the regulation of pancreatic β-cell mass. This study is the first to show that the Kcnq1 gene is related to pancreatic β-cell mass through genetic-environment interactions.

Citations

Citations to this article as recorded by

Long noncoding RNAs in insulin signaling: mechanisms, metabolic roles, and therapeutic prospects
Soham Bhattacharyya, Debopriya Choudhury, Brahmachari Vedeshachaitanya, Pushkar Malakar
Diabetes Research and Clinical Practice.2026; 237: 113320. CrossRef

Review

Pharmacotherapy
Exploring the Side Effects of GLP-1 Receptor Agonist: To Ensure Its Optimal Positioning: Jung A Kim, Hye Jin Yoo; Diabetes Metab J. 2025;49(4):525-541. Published online July 1, 2025; DOI: https://doi.org/10.4093/dmj.2025.0242

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Although glucagon-like peptide-1 receptor agonists (GLP-1 RAs) have demonstrated considerable efficacy in the treatment of diabetes and obesity, it is essential to recognize that their use is associated with certain intrinsic risks that must not be disregarded. The incidence of adverse effects, particularly gastrointestinal complications, psychiatric disorders, and ocular problems, highlights the critical need for thorough patient assessment and continuous monitoring to ensure both the safety and effectiveness of treatment. Despite the possibility of adverse events, GLP-1 RAs continue to represent a crucial therapeutic modality for metabolic disturbances. This highlights the significance of ongoing research initiatives aimed at optimizing their safe utilization and refining current treatment protocols to improve patient outcomes. This review summarizes updated research findings regarding the adverse effects of GLP-1 RAs, their mechanisms of action, and guidelines for clinical application.

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Mapping Global Research on Adverse Effects of GLP-1 Receptor Agonists (2006-2025): A Scopus-Based Bibliometric and Thematic Analysis
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INQUIRY: The Journal of Health Care Organization, Provision, and Financing.2026;[Epub] CrossRef
GIPR:GCGR co-agonism restores normal weight in obese rodents
Diego Perez-Tilve, Fa Zhang, Yujin Zhang, Kaitlyn Lohman, Joyce Sorrell, Andrew Vick, Timo D. Müller, Matthias H. Tschöp, Richard D. DiMarchi
Molecular Metabolism.2026; 108: 102365. CrossRef
Comparative effectiveness of SGLT-2 inhibitors and GLP-1 receptor agonists on the risk of incident dementia after acute kidney injury: a target-trial emulation
Ying-Ru Chen, Zheng-Hong Jiang, Jui-Yi Chen, Vin-Cent Wu
GeroScience.2026;[Epub] CrossRef
The Gastrointestinal Safety of Orforglipron, a GLP‐1 Receptor Agonist, in Adults With or Without Type 2 Diabetes: A Network Meta‐Analysis of Randomized Controlled Trials
Ahmed W. Hageen, Ahmed Farid Gadelmawla, Ahmad Omar Saleh, Abdallfatah Abdallfatah, Mohamed Reyad Mohamed, Amira Fahmy El‐Nemr, Odai Maihoub, Ahmed Elsekhary, Safir Eladawi, Biruk Demisse Ayalew, Ahmed Mansour, Ayoup Ahmed Radi, Mohamed Abuelazm, Mohamed
Endocrinology, Diabetes & Metabolism.2026;[Epub] CrossRef
Tirzepatide versus Semaglutide: Selecting the Right Agent for the Right Patient in Contemporary Metabolic Care
Ahmad Alam
Bangladesh Journal of Endocrinology and Metabolism.2026;[Epub] CrossRef
Systematic Characterisation of GLP‐1R in Human Enteric Nervous System: Implications for GLP‐1 as a Key Regulator of Colonic Activity
Kiran Devi Dontamsetti, Rubina Aktar, Madusha Peiris
Journal of Neurochemistry.2026;[Epub] CrossRef
Glucagon-like peptide-1 receptor agonists and hair loss: A systematic review and meta-analysis
Po-Lung Cheng, Hua-Ching Chang
Diabetes Research and Clinical Practice.2026; 237: 113333. CrossRef
Unexpected Therapeutic Effect of GLP-1 Receptor Agonists in Patients With Refractory IBS-D: A Case Series
Solangel Isabelle Suarez, Bilori Bilori, Sai Venkat Aluri, Saurav Das
Annals of Internal Medicine: Clinical Cases.2026;[Epub] CrossRef
Cardiometabolic 2.0: Redefining Cardiovascular Prevention Through SGLT-2 Inhibitors and GLP-1 Receptor Agonists
Maria-Daniela Tanasescu, Andrei-Mihnea Rosu, Alexandru Minca, Maria-Mihaela Grigorie, Delia Timofte, Dorin Ionescu
Life.2026; 16(5): 756. CrossRef
Microneedles (MNs)-based technology for diabetes management: design, delivery, and artificial intelligence integration
Fuad Saleh, Zakarya A.M. Hazaea, Mansour Alantry Abdu, Waleed Alahmad, Mohammad Ashfaq
Inorganic Chemistry Communications.2026; 190: 116931. CrossRef
Nutritional Care for Adults With Obesity Treated With Glucagon-Like Peptide (GLP)-1 and Dual Glucose-Dependent Insulinotropic Polypeptide (GIP)/GLP-1 Receptor Agonists: A Review of Evidence, Gaps, and Clinical Implications
Cici McGuane, Nosha Farhadhar, Khavir A Sharieff, Stephanie N Petrosky, Karima Alabasi
Cureus.2026;[Epub] CrossRef
Response to comment on “Efficacy and safety of GLP-1 receptor agonists in the management of obstructive sleep apnea in individuals without diabetes: A systematic review and meta-analysis of randomized, placebo-controlled trials”
Chia Siang Kow, Dinesh Sangarran Ramachandram, Syed Shahzad Hasan, Kaeshaelya Thiruchelvam
Sleep Medicine.2025; 134: 106709. CrossRef
Emerging Frontiers in GLP-1 Therapeutics: A Comprehensive Evidence Base (2025)
Shikha Patel, Sarfaraz K. Niazi
Pharmaceutics.2025; 17(8): 1036. CrossRef
GLP-1 Receptor Agonists in Mood Disorders: A Psychiatric Perspective
Pietro Carmellini, Alessandro Cuomo, Maria Beatrice Rescalli, Andrea Fagiolini
Life.2025; 15(9): 1422. CrossRef
Development of a risk prediction model for gastrointestinal adverse events associated with semaglutide administration in patients with type 2 diabetes mellitus
Deyong Yue, Xuesheng Hua, Ling Zhu, Jun Wang, Lihua Gu, Zhengxia Yuan, Wenle Jian, Yirong Chen, Guoliang Meng
Frontiers in Endocrinology.2025;[Epub] CrossRef
Bridging Efficacy and Adherence in Glucagon-Like Peptide-1 Receptor Agonist Therapy: The Emerging Role of Oral Agents
Sherry Yun Wang, Ryan Stofer, Hao Wang, Gregory A. Brent, Lu Shi, Yu Cai, Moom Roosan, Tannaz Moin
Diabetes & Metabolism Journal.2025; 49(6): 1331. CrossRef
Semaglutide from Bench to Bedside: The Experimental Journey Towards a Transformative Therapy for Diabetes, Obesity and Metabolic Liver Disorders
Ralf Weiskirchen, Amedeo Lonardo
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Nutrient-Stimulated Hormone-Based Therapies: Transforming Obesity Management
Ki Hoon Kwak, Chang Hee Jung
Endocrinology and Metabolism.2025; 40(6): 879. CrossRef
Research Progress of GLP-1 Receptor Agonists in the Treatment of Alzheimer’s Disease
琳娜勾
Advances in Clinical Medicine.2025; 15(12): 2047. CrossRef

Original Articles

Pharmacotherapy
Novel Insights into the Causal Relationship between Antidiabetic Drugs and Adverse Perinatal Outcomes: A Mendelian Randomization Study: Chang Su, Xueqing He, Xiaona Chang, Juan Tian, Guang Wang, Jia Liu; Diabetes Metab J. 2025;49(6):1242-1251. Published online June 2, 2025; DOI: https://doi.org/10.4093/dmj.2024.0521

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Background
Hyperglycemia during pregnancy increases the risk of adverse perinatal outcomes and birth defects. Evidence regarding the long-term safety of antidiabetic drugs during pregnancy is still lacking.
Methods
A two-sample Mendelian randomization (MR) study was performed to assess the causal association between six antidiabetic drug targets (ABCC8, DPP4, INSR, GLP1R, PPARG, and SLC5A2) and seven adverse perinatal outcomes and five congenital malformation outcomes. Inverse variance weighted (IVW) was adopted as the main MR method, and sensitivity analysis using traditional MR methods was performed to evaluate the robustness of the results.
Results
We observed strong evidence that sodium-glucose cotransporter 2 (SGLT2) inhibitors (odds ratio [OR], 0.084; 95% confidence interval [CI], 0.009 to 0.834; P=0.034) reduces the risk of preterm birth; genetic variation in sulfonylurea drug targets (OR, 0.015; 95% CI, 2.50E-04 to 0.919; P=0.045) and genetic variation in thiazolidinedione drug targets (OR, 0.007; 95% CI, 4.16E-04 to 0.121; P=0.001) reduced the risk of eclampsia/preeclampsia; glucagon-like peptide 1 (GLP-1) analogues target (β=–0.549; 95% CI, –0.958 to –0.140; P=0.009) was inversely associated with fetal birth weight; thiazolidinedione target was inversely associated with gestational age (β=–0.952; 95% CI, –1.785 to –0.118; P=0.025); SGLT2 inhibitors reduced the risk of cardiocirculatory malformations (OR, 0.001; 95% CI, 8.75E-06 to 0.126; P=0.005).
Conclusion
Most antidiabetic drugs are safe when used during the perinatal period. Of note, GLP-1 analogues may lead to a risk of low birth weight, while thiazolidinediones may lead to a reduction in fetal gestational age.

Citations

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Prenatal chemical exposures and fetal growth: a narrative review of gene-environment interactions (2025)
Sumitaka Kobayashi, Fumihiro Sata, Yasuaki Saijo, Reiko Kishi
Pediatric Research.2026;[Epub] CrossRef

Complications
The Causal Relationship and Association between Biomarkers, Dietary Intake, and Diabetic Retinopathy: Insights from Mendelian Randomization and Cross-Sectional Study: Xuehao Cui, Dejia Wen, Jishan Xiao, Xiaorong Li; Diabetes Metab J. 2025;49(5):1087-1105. Published online March 31, 2025; DOI: https://doi.org/10.4093/dmj.2024.0731

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Background
Diabetic retinopathy (DR) is a major cause of vision loss, linked to hyperglycemia, oxidative stress, and inflammation. Despite advancements in DR treatments, approximately 40% of patients do not respond effectively, underscoring the need for novel, noninvasive biomarkers to predict DR risk and progression. This study investigates causal relationships between specific biomarkers, dietary factors, and DR development using Mendelian randomization (MR) and cross-sectional data.
Methods
We conducted a two-phase analysis combining MR and cross-sectional methods. First, MR analysis examined causal associations between 35 biomarkers, 226 dietary factors, and DR progression using data from the UK Biobank and Genome-Wide Association Study (GWAS) datasets. Second, a cross-sectional study with National Health and Nutrition Examination Survey (NHANES) and a clinical cohort from Tianjin Medical University Eye Hospital validated findings and explored biomarkers’ predictive capabilities through a nomogram-based prediction model.
Results
MR analysis identified eight biomarkers (e.g., glycosylated hemoglobin [HbA1c], high-density lipoprotein cholesterol [HDL-C]) with significant causal links to DR. Inflammatory markers and metabolic factors, such as high glucose and HDL-C levels, were strongly associated with DR risk and progression. Specific dietary factors, like cheese intake, exhibited protective roles, while alcohol intake increased DR risk. Validation within NHANES and Tianjin cohorts supported these causal associations.
Conclusion
This study elucidates causal relationships between biomarkers, dietary habits, and DR progression, emphasizing the potential for personalized dietary interventions to prevent or manage DR. Findings support the use of HDL-C, HbA1c, and dietary factors as biomarkers or therapeutics in DR, though further studies are needed for broader applicability.

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Exploring potential therapeutic targets for myopia: Causal analysis and biological annotation with gut microbiota
Zixun Wang, Yimeng Sun, Xiaoling Zhang, Luqiang Wang, Desheng Song, Jingtao Yu, Xiaoxue Hu, Weiping Lin, Ruihua Wei
Computational Biology and Chemistry.2026; 120: 108634. CrossRef
Research Status of Diabetic Retinopathy Prediction Models: From Traditional Risk Factors to Artificial Intelligence
银娟李
Journal of Clinical Personalized Medicine.2026; 05(01): 332. CrossRef
Integrative Proteogenomic Analysis Identifies Genetically Supported Plasma Proteins, Metabolites, and Pathways in Glaucoma
Jiajia Yuan, Xuehao Cui, Patrick Yu-Wai-Man, Xuan Xiao
Investigative Ophthalmology & Visual Science.2026; 67(2): 21. CrossRef
Antioxidant vitamin index and risk of age-related macular degeneration: multicenter validation and clinical translation
Xuehao Cui, Jingwen Hui, Zheya Han, Quanhong Han
npj Aging.2026;[Epub] CrossRef
Comprehensive multi-method analysis of blood heavy metals and nutrient intake in myopia and high myopia
Jingwen Hui, Xinyuan Feng, Quanhong Han, Xuehao Cui
Journal of Translational Medicine.2026;[Epub] CrossRef
Exposome-induced dysregulation of glycemic homeostasis: Emerging biomarkers for diabetes risk and progression
Singamoorthy Amalraj, Venkatesan Karthick, Rajkumar Thamarai, Mani Suganya
Environmental Pollution.2026; 397: 128012. CrossRef
Integrated plasma proteomics and metabolomics reveal immunometabolic pathways and predictive signatures for age-related eye diseases
Xuehao Cui, Qiuchen Zhao, Jiajia Yuan, Patrick Yu-Wai-Man
Metabolism.2026; 180: 156624. CrossRef
Association between weight-adjusted-waist index and retinopathy among American adults: a cross-sectional study and mediation analysis
Junmeng Li, Qianshuo Yin, Jianchen Hao, Ruilin Zhu, Jing Zhang, Yadi Zhang, Xiaopeng Gu, Zihui Wu, Liu Yang
Frontiers in Nutrition.2025;[Epub] CrossRef
Exploring the impact of diet, sleep, and metabolomic pathways on Glaucoma subtypes: insights from Mendelian randomization and cross-sectional analyses
Zhang Shengnan, Wang Tao, Zhang Yanan, Sun Chao
Nutrition & Metabolism.2025;[Epub] CrossRef
Association between endothelial activation and stress index and diabetic retinopathy in patients with diabetic kidney disease: a cross-sectional study based on NHANES database
Jinping Liu, Di’en Yan, Xiaohui Wang, Yinhua Yao, Ling Wang
BMC Endocrine Disorders.2025;[Epub] CrossRef
Hypertriglyceridemic waist phenotype in relation to diabetes mellitus and cardiovascular diseases in the Indonesian and Korean populations: evidence from two national surveys
Fathimah S. Sigit, Sinyoung Cho, Farid Kurniawan, Hye-Ryeong Jeon, Ratu Ayu Dewi Sartika, Dicky L. Tahapary, Hyuktae Kwon
Diabetology & Metabolic Syndrome.2025;[Epub] CrossRef
Non-linear association between Life’s Essential 8 and diabetic retinopathy: mediating role of depression in US adults with diabetes
Long Xie, Yu Qin Peng, Wei Qiang Wei, Xiang Shen
BMC Public Health.2025;[Epub] CrossRef

Metabolic Risk/Epidemiology
Early Enrollment in Diabetes Pay-for-Performance Program Reduced Loss of Life Expectancy in Newly-Diagnosed Patients with Type 2 Diabetes Mellitus: Yu-Ching Chen, Wei-Ming Wang, Boniface J. Lin, Jung-Der Wang, Li-Jung Elizabeth Ku; Diabetes Metab J. 2025;49(5):1051-1063. Published online March 26, 2025; DOI: https://doi.org/10.4093/dmj.2024.0507

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Background
Diabetes is associated with reduced lifespan. To explore pay-for-performance (P4P) program and life expectancy (LE), we investigated the impact of interval between diabetes diagnosis and enrollment in P4P program on loss-of-LE among patients with diabetes in Taiwan.
Methods
From diabetes mellitus health database, which collected all newly-diagnosed patients with diabetes by calendar year, we selected patients, aged 40 to 64, with 503,662 in P4P group and 450,071 in non-P4P group, respectively, from 2004 to 2015, and followed them until the end of 2018 using Kaplan–Meier survival analysis. We simulated age-, gender-, and calendar yearmatched referents for each group through Monte Carlo method from Taiwan’s vital statistics. We constructed a restricted cubic spline model on logit-transformed relative survival between each group and its corresponding matched referents, and applied a rolling-over algorithm month-by-month to extrapolate the survival function of each index group to lifetime to estimate the LE, which was subtracted from that of matched referents to obtain the loss-of-LE.
Results
We found stratified analysis by interval showed that the earlier the enrollment, the lower the loss-of-LE, namely, 0.06±0.72 years for interval <1 year, 0.05±0.59 years for interval 1–4 years, 10.01±0.11 years for interval 5–9 years, and 12.77±0.14 years for interval 10–15 years, respectively (P<0.001), compared with 2.60±0.14 years for non-P4P group.
Conclusion
Early enrollment in the P4P program was associated with reduced loss-of-LE, indicating P4P might gain life if implemented early after diabetes diagnosis.

Citations

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Early Enrollment in Diabetes Pay-for-Performance Program Reduced Loss of Life Expectancy in Newly-Diagnosed Patients with Type 2 Diabetes Mellitus (Diabetes Metab J 2025;49:1051-63)
Fatima Qazi, Salahuddin Qazi
Diabetes & Metabolism Journal.2026; 50(1): 192. CrossRef
Early Enrollment in Diabetes Pay-for-Performance Program Reduced Loss of Life Expectancy in Newly-Diagnosed Patients with Type 2 Diabetes Mellitus (Diabetes Metab J 2025;49:1051-63)
Yu-Ching Chen, Wei-Ming Wang, Boniface J. Lin, Jung-Der Wang, Li-Jung Elizabeth Ku
Diabetes & Metabolism Journal.2026; 50(1): 205. CrossRef
Start Early, Do It Well: Implications of a National Diabetes Care Quality Assessment Program for Life Expectancy
Kyoung Hwa Ha, Dae Jung Kim
Diabetes & Metabolism Journal.2025; 49(5): 987. CrossRef

Metabolic Risk/Epidemiology
Pregravid Weight Gain Is Associated with an Increased Risk of Gestational Diabetes: Sunmie Kim, Kyungdo Han, Su-Yeon Choi, Min Joo Kim, Sun Young Yang, Seung Ho Choi, Jeong Yoon Yim, Jin Ju Kim, Min-Jeong Kim; Diabetes Metab J. 2025;49(4):826-836. Published online March 26, 2025; DOI: https://doi.org/10.4093/dmj.2024.0491

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Background
Studies have reported a significant association between pregravid weight gain and the subsequent development of gestational diabetes mellitus (GDM) in various populations. The current study aims to investigate this relationship using data from the Korean National Health Insurance Service database.
Methods
We conducted a retrospective nationwide population-based cohort study, involving 159,798 women who gave birth between 2015 and 2017 and had undergone two national health screening examinations: 1 year (index checkup) and 3 years before (baseline checkup) their respective estimated conception date. Participants were categorized into five groups based on the extent of weight change between the two examinations: more than 10%, 5% to 10%, –5% to 5% (reference group), –10% to –5%, and more than –10%. The study assessed the association between pregravid weight change and GDM risk.
Results
Among the 146,363 women analyzed, 11,012 (7.52%) were diagnosed with GDM. Multiple regression analysis revealed that women who gained 5% to 10% of their weight had a 12% increased risk of GDM (adjusted odds ratio [aOR], 1.12; 95% confidence interval [CI], 1.06 to 1.17), while those who gained ≥10% had a 34% higher risk (aOR, 1.34; 95% CI, 1.26 to 1.43). Notably, pregravid weight gain was particularly associated with GDM risk in non-obese or non-metabolic syndrome groups at index checkup.
Conclusion
Pregravid weight gain showed a dose-dependent association with a higher risk of GDM. This association was more pronounced in non-obese individuals emphasizing the importance of minimizing pregravid weight gain for GDM prevention, even in non-obese women.

Citations

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Diabetes in Pregnancy in Korea: Prevalence, Clinical Characteristics, and Postpartum Comorbidities
Joon Ho Moon, Han Na Jung, Bongseong Kim, Seung-Hyun Ko, Soo Heon Kwak, Kyung-Do Han, Sung Hee Choi
Diabetes & Metabolism Journal.2026; 50(2): 280. CrossRef
Advancing Early Prediction of Gestational Diabetes Mellitus with Circular RNA Biomarkers
Joon Ho Moon, Sung Hee Choi
Diabetes & Metabolism Journal.2025; 49(3): 403. CrossRef
Gestational Diabetes Mellitus and Postpartum Depressive Symptoms in Women with Low and Late Fertility
Vincenzo Zanardo, Gianluca Straface, Francesca Volpe, Agnese Suppiej, Tiziana Battistin
Journal of Personalized Medicine.2025; 15(12): 609. CrossRef

Guideline/Statement/Fact Sheet
Prevalence, Incidence, and Metabolic Characteristics of Young Adults with Type 2 Diabetes Mellitus in South Korea (2010–2020): Ji Yoon Kim, Jiyoon Lee, Joon Ho Moon, Se Eun Park, Seung-Hyun Ko, Sung Hee Choi, Nam Hoon Kim; Diabetes Metab J. 2025;49(2):172-182. Published online March 1, 2025; DOI: https://doi.org/10.4093/dmj.2024.0826

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Background
This study aimed to examine trends in the prevalence, incidence, metabolic characteristics, and management of type 2 diabetes mellitus (T2DM) among young adults in South Korea.
Methods
Young adults with T2DM were defined as individuals aged 19 to 39 years who met the diagnostic criteria for T2DM. Data from the Korean National Health Insurance Service-Customized Database (2010–2020, n=225,497–372,726) were analyzed to evaluate trends in T2DM prevalence, incidence, metabolic profiles, comorbidities, and antidiabetic drug prescription. Additional analyses were performed using the Korea National Health and Nutrition Examination Survey.
Results
The prevalence of T2DM in young adults significantly increased from 1.02% in 2010 to 2.02% in 2020 (P<0.001), corresponding to 372,726 patients in 2020. Over the same period, the incidence rate remained stable within the range of 0.36% to 0.45%. Prediabetes prevalence steadily increased from 15.53% to 20.92%, affecting 3.87 million individuals in 2020. The proportion of young adults with T2DM who were obese also increased, with 67.8% having a body mass index (BMI) ≥25 kg/m² and 31.6% having a BMI ≥30 kg/m² in 2020. The prevalence of hypertension, dyslipidemia, and fatty liver disease also increased, reaching 34.2%, 79.8%, and 78.9%, respectively, in 2020. Although the overall pharmacological treatment rate remained low, the prescription of antidiabetic medications with weight-reducing properties increased over the study period.
Conclusion
The prevalence of T2DM among young adults in South Korea nearly doubled over the past decade. The strong association with obesity and metabolic comorbidities emphasizes the urgent need for targeted prevention and management strategies tailored to this population.

Citations

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Association between body weight time in target range and risk of type 2 diabetes in adults with obesity
Soojin Park, Seohyun Kim, Sang Ho Park, Minkyeong Kim, You-Bin Lee, Sang-Man Jin, Kyu Yeon Hur, Jae Hyeon Kim, Gyuri Kim
Diabetology & Metabolic Syndrome.2026;[Epub] CrossRef
Diabetes Fact Sheet 2025: Comparative Epidemiology and Clinical Features of Obese and Non-Obese Diabetes in Korea
Jin Hwa Kim, Bongseong Kim, Se Eun Park, Seung-Hyun Ko, Sung Hee Choi, Bong Soo Cha, Kyungdo Han, Seung-Hwan Lee
Diabetes & Metabolism Journal.2026; 50(2): 267. CrossRef
Diabetes Fact Sheet 2025: Special Edition on Diabetes with Obesity and in Pregnancy
Se Eun Park, Se Hee Min, Jin Hwa Kim, Seung-Hwan Lee, Han Na Jung, Joon Ho Moon, Kyungdo Han, Seung-Hyun Ko, Bong Soo Cha, Sung Hee Choi
Diabetes & Metabolism Journal.2026; 50(2): 255. CrossRef
Temporal trends in macrovascular complications in young-onset diabetes in Korea: A nationwide population-based study
Hwa Young Kim, Eunjeong Ji, Jaehyun Kim
Diabetes Research and Clinical Practice.2026; 236: 113285. CrossRef
Association between relative handgrip strength and glycemic control among male automobile manufacturing workers using vibration tools in South Korea
Dong-Jae Seo, Hyun Joong Kim, Yongjin Kim, Jaewon Mun, Jong-Han Leem, Shin-Goo Park, Dong-Wook Lee, Hwan-Cheol Kim
Annals of Occupational and Environmental Medicine.2026; 38: e14. CrossRef
Hypertriglyceridemia in adults with diabetes mellitus in Korea: Sex, age, and lifestyle determinants
Kye-Yeung Park, Sangmo Hong, Kyung-Soo Kim, Kyungdo Han, Cheol-Young Park
Journal of Clinical Lipidology.2026;[Epub] CrossRef
Remission in Young-Onset Type 2 Diabetes: Mechanisms, Intervention Strategies, and Predictive Factors
易宏邹
Advances in Clinical Medicine.2026; 16(05): 301. CrossRef
Association of temporal MASLD with type 2 diabetes, cardiovascular disease and mortality
Eugene Han, Kyung-Do Han, Yong-ho Lee, Kyung-Soo Kim, Sangmo Hong, Jung Hwan Park, Cheol-Young Park
Cardiovascular Diabetology.2025;[Epub] CrossRef
Fenofibrate therapy and risk of heart failure outcomes in patients with Type 2 diabetes: a propensity-matched cohort study
Ji Yoon Kim, Nam Hoon Kim, Jiyoon Lee, Dong-Hoon Kim, Sin Gon Kim
European Heart Journal - Cardiovascular Pharmacotherapy.2025; 11(7): 620. CrossRef
Young Adults at Risk: Tackling the Surge of Early‑Onset Type 2 Diabetes in Korea
Eun-Hee Cho
Endocrinology and Metabolism.2025; 40(4): 542. CrossRef
Young patients with type 2 diabetes have high relative risks for complications in a country with middle-high sociodemographic index, similarly to those countries with high index
Gergő A. Molnár, Zoltán Kiss, István Wittmann
Frontiers in Endocrinology.2025;[Epub] CrossRef
Cost-Effectiveness Analysis of Real-Time Continuous Glucose Monitoring Versus Self-Monitoring of Blood Glucose in People With Type 2 Diabetes Treated With Non-Intensive Insulin Therapy in South Korea
Ji Yoon Kim, Sabrina Ilham, Hamza Alshannaq, Richard F. Pollock, Martin Field, Gregory J. Norman, Sang-Man Jin, Jae Hyeon Kim
Journal of Diabetes Science and Technology.2025;[Epub] CrossRef
Can screening for albuminuria detect type 2 diabetes mellitus?
Mi Kyung Kim
Kidney Research and Clinical Practice.2025; 44(6): 857. CrossRef
Association between severe acute pancreatitis and new-onset diabetes: a propensity score-matched real-world study
Djibril M. Ba, Phil A. Hart, Tian Qiu, Somashekar G. Krishna, Xiang Gao, Douglas L. Leslie, David Bradley, Jennifer Maranki, Kadiyatu Fofana, Vernon M. Chinchilli, Ariana R. Pichardo-Lowden
Frontiers in Endocrinology.2025;[Epub] CrossRef

Basic and Translational Research
Revealing VCAN as a Potential Common Diagnostic Biomarker of Renal Tubules and Glomerulus in Diabetic Kidney Disease Based on Machine Learning, Single-Cell Transcriptome Analysis and Mendelian Randomization: Li Jiang, Jie Jian, Xulin Sai, Xiai Wu; Diabetes Metab J. 2025;49(3):407-420. Published online January 24, 2025; DOI: https://doi.org/10.4093/dmj.2024.0233

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Background
Diabetic kidney disease (DKD) is recognized as a significant complication of diabetes mellitus and categorized into glomerular DKDs and tubular DKDs, each governed by distinct pathological mechanisms and biomarkers.
Methods
Through the identification of common features observed in glomerular and tubular lesions in DKD, numerous differentially expressed gene were identified by the machine learning, single-cell transcriptome and mendelian randomization.
Results
The diagnostic markers versican (VCAN) was identified, offering supplementary options for clinical diagnosis. VCAN significantly highly expressed in glomerular parietal epithelial cell and proximal convoluted tubular cell. It was mainly involved in the up-regulation of immune genes and infiltration of immune cells like mast cell. Mendelian randomization analysis confirmed that serum VCAN protein levels were a risky factor for DKD, while there was no reverse association. It exhibited the good diagnostic potential for estimated glomerular filtration rate and proteinuria in DKD.
Conclusion
VCAN showed the prospects into DKD pathology and clinical indicator.

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Transient versican expression is required for β1-integrin accumulation during podocyte layer morphogenesis in amphibian developing kidney
Isabelle Buisson, Jean-François Riou, Muriel Umbhauer, Ronan Le Bouffant, Valérie Bello
Cells & Development.2026; 185: 204062. CrossRef
m6A Modified VCAN Promotes Glomerular Endothelial Cells Injury and Diabetic Nephropathy by SHH Pathway
Jie Jiang, Jicheng Zhang, Chao Wang, Feng Wang
Applied Biochemistry and Biotechnology.2026; 198(5): 3461. CrossRef
Multi-omics and machine learning identify FN1 and ALDH2 as diagnostic biomarkers and therapeutic targets in early and late diabetic kidney disease
Jingwei Lin, Yingying Zheng, Diman Mai, Fuxiang Fang, Zhuokun Wei, Mengyu Liu, Trung Hieu Pham, Ming Li, Jiawen Zhao
Renal Failure.2025;[Epub] CrossRef

Complications
To Determine the Risk-Based Screening Interval for Diabetic Retinopathy: Development and Validation of Risk Algorithm from a Retrospective Cohort Study: Jinxiao Lian, Ching So, Sarah Morag McGhee, Thuan-quoc Thach, Cindy Lo Kuen Lam, Colman Siu Cheung Fung, Alfred Siu Kei Kwong, Jonathan Cheuk Hung Chan; Diabetes Metab J. 2025;49(2):286-297. Published online October 31, 2024; DOI: https://doi.org/10.4093/dmj.2024.0142

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Background
The optimal screening interval for diabetic retinopathy (DR) remains controversial. This study aimed to develop a risk algorithm to predict the individual risk of referable sight-threatening diabetic retinopathy (STDR) in a mainly Chinese population and to provide evidence for risk-based screening intervals.
Methods
The retrospective cohort data from 117,418 subjects who received systematic DR screening in Hong Kong between 2010 and 2016 were included to develop and validate the risk algorithm using a parametric survival model. The risk algorithm can be used to predict the individual risk of STDR within a specific time interval, or the time to reach a specific risk margin and thus to allocate a screening interval. The calibration performance was assessed by comparing the cumulative STDR events versus predicted risk over 2 years, and discrimination by using receiver operative characteristics (ROC) curve.
Results
Duration of diabetes, glycosylated hemoglobin, systolic blood pressure, presence of chronic kidney disease, diabetes medication, and age were included in the risk algorithm. The validation of prediction performance showed that there was no significant difference between predicted and observed STDR risks in males (5.6% vs. 5.1%, P=0.724) or females (4.8% vs. 4.6%, P=0.099). The area under the receiver operating characteristic curve was 0.80 (95% confidence interval [CI], 0.78 to 0.81) for males and 0.81 (95% CI, 0.79 to 0.83) for females.
Conclusion
The risk algorithm has good prediction performance for referable STDR. Using a risk-based screening interval allows us to allocate screening visits disproportionally more to those at higher risk, while reducing the frequency of screening of lower risk people.

Citations

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Letter to the editor: “Prediction of retinopathy risk: A prospective cohort study in China”
Rachana Mehta, Ranjana Sah
Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2026; 20(4): 103415. CrossRef
A clinically interpretable machine learning model for early detection of diabetic retinopathy in multiple community health centers
Juncheng Tong, Aifa Tang, Lifang Liu, Luyuan Zhang, Hainan Wang, Mengyuan Qu, Bing Liu
Frontiers in Endocrinology.2026;[Epub] CrossRef

Metabolic Risk/Epidemiology
Longitudinal Association of Changes in Metabolic Syndrome with Cognitive Function: 12-Year Follow-up of the Guangzhou Biobank Cohort Study: Yu Meng Tian, Wei Sen Zhang, Chao Qiang Jiang, Feng Zhu, Ya Li Jin, Shiu Lun Au Yeung, Jiao Wang, Kar Keung Cheng, Tai Hing Lam, Lin Xu; Diabetes Metab J. 2025;49(1):60-79. Published online October 29, 2024; DOI: https://doi.org/10.4093/dmj.2024.0117

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Background
The association of changes in metabolic syndrome (MetS) with cognitive function remains unclear. We explored this association using prospective and Mendelian randomization (MR) studies.
Methods
MetS components including high-density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), waist circumference (WC), fasting plasma glucose (FPG), and triglycerides were measured at baseline and two follow-ups, constructing a MetS index. Immediate, delayed memory recall, and cognitive function along with its dimensions were assessed by immediate 10- word recall test (IWRT) and delayed 10-word recall test (DWRT), and mini-mental state examination (MMSE), respectively, at baseline and follow-ups. Linear mixed-effect model was used. Additionally, the genome-wide association study (GWAS) of MetS was conducted and one-sample MR was performed to assess the causality between MetS and cognitive function.
Results
Elevated MetS index was associated with decreasing annual change rates (decrease) in DWRT and MMSE scores, and with decreases in attention, calculation and recall dimensions. HDL-C was positively associated with an increase in DWRT scores, while SBP and FPG were negatively associated. HDL-C showed a positive association, whereas WC was negatively associated with increases in MMSE scores, including attention, calculation and recall dimensions. Interaction analysis indicated that the association of MetS index on cognitive decline was predominantly observed in low family income group. The GWAS of MetS identified some genetic variants. MR results showed a non-significant causality between MetS and decrease in DWRT, IWRT, nor MMSE scores.
Conclusion
Our study indicated a significant association of MetS and its components with declines in memory and cognitive function, especially in delayed memory recall.

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Modifying Role of Sustainable Diets on the Association Between Particulate Matter and Biological Aging: The Guangzhou Biobank Cohort Study
Rui Qiang Li, Shou Xin Peng, Rui Hang Zhang, Ting Yu Lu, Wei Sen Zhang, Jiao Wang, Ying Wang, Lin Yang, Shiu Lun Ryan Au Yeung, Tai Hing Lam, Kar Keung Cheng, Lin Xu
Aging Cell.2026;[Epub] CrossRef
Association of metabolic syndrome severity with cognitive decline among Chinese older adults: evidence from two prospective cohort studies
Ming Chen, Lu Liu, Na Liu, Ji-Wen Che, Yuan-Yuan Peng, Yan Zeng
Frontiers in Neuroscience.2026;[Epub] CrossRef
Association of body mass index, waist circumference, (abdominal) overweight and obesity with sex- and age-specific cognitive function over time—the Doetinchem Cohort Study
Femke te Hoonte, M. Liset Rietman, Kirsten E. J. Wesenhagen, H. Susan J. Picavet, W. M. Monique Verschuren
International Journal of Obesity.2026; 50(5): 1150. CrossRef

Genetics
Identification and Potential Clinical Utility of Common Genetic Variants in Gestational Diabetes among Chinese Pregnant Women: Claudia Ha-ting Tam, Ying Wang, Chi Chiu Wang, Lai Yuk Yuen, Cadmon King-poo Lim, Junhong Leng, Ling Wu, Alex Chi-wai Ng, Yong Hou, Kit Ying Tsoi, Hui Wang, Risa Ozaki, Albert Martin Li, Qingqing Wang, Juliana Chung-ngor Chan, Yan Chou Ye, Wing Hung Tam, Xilin Yang, Ronald Ching-wan Ma; Diabetes Metab J. 2025;49(1):128-143. Published online September 20, 2024; DOI: https://doi.org/10.4093/dmj.2024.0139

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Background
The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications.
Methods
We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants.
Results
Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI], 1.38 to 1.96), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; P_meta=7.6×10^-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; P_meta=3.1×10^-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals.
Conclusion
Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

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Diabetologia.2026;[Epub] CrossRef
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Review

Drug/Regimen
Benefit and Safety of Sodium-Glucose Co-Transporter 2 Inhibitors in Older Patients with Type 2 Diabetes Mellitus: Ja Young Jeon, Dae Jung Kim; Diabetes Metab J. 2024;48(5):837-846. Published online September 1, 2024; DOI: https://doi.org/10.4093/dmj.2024.0317

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People with type 2 diabetes mellitus (T2DM) are at higher risk of developing cardiovascular disease, heart failure, chronic kidney disease, and premature death than people without diabetes. Therefore, treatment of diabetes aims to reduce these complications. Sodium-glucose co-transporter 2 (SGLT2) inhibitors have shown beneficial effects on cardiorenal and metabolic health beyond glucose control, making them a promising class of drugs for achieving the ultimate goals of diabetes treatment. However, despite their proven benefits, the use of SGLT2 inhibitors in eligible patients with T2DM remains suboptimal due to reports of adverse events. The use of SGLT2 inhibitors is particularly limited in older patients with T2DM because of the lack of treatment experience and insufficient long-term safety data. This article comprehensively reviews the risk-benefit profile of SGLT2 inhibitors in older patients with T2DM, drawing on data from prospective randomized controlled trials of cardiorenal outcomes, original studies, subgroup analyses across different age groups, and observational cohort studies.

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Original Article

Complications
Construction of Risk Prediction Model of Type 2 Diabetic Kidney Disease Based on Deep Learning: Chuan Yun, Fangli Tang, Zhenxiu Gao, Wenjun Wang, Fang Bai, Joshua D. Miller, Huanhuan Liu, Yaujiunn Lee, Qingqing Lou; Diabetes Metab J. 2024;48(4):771-779. Published online April 30, 2024; DOI: https://doi.org/10.4093/dmj.2023.0033

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Background
This study aimed to develop a diabetic kidney disease (DKD) prediction model using long short term memory (LSTM) neural network and evaluate its performance using accuracy, precision, recall, and area under the curve (AUC) of the receiver operating characteristic (ROC) curve.
Methods
The study identified DKD risk factors through literature review and physician focus group, and collected 7 years of data from 6,040 type 2 diabetes mellitus patients based on the risk factors. Pytorch was used to build the LSTM neural network, with 70% of the data used for training and the other 30% for testing. Three models were established to examine the impact of glycosylated hemoglobin (HbA1c), systolic blood pressure (SBP), and pulse pressure (PP) variabilities on the model’s performance.
Results
The developed model achieved an accuracy of 83% and an AUC of 0.83. When the risk factor of HbA1c variability, SBP variability, or PP variability was removed one by one, the accuracy of each model was significantly lower than that of the optimal model, with an accuracy of 78% (P<0.001), 79% (P<0.001), and 81% (P<0.001), respectively. The AUC of ROC was also significantly lower for each model, with values of 0.72 (P<0.001), 0.75 (P<0.001), and 0.77 (P<0.05).
Conclusion
The developed DKD risk predictive model using LSTM neural networks demonstrated high accuracy and AUC value. When HbA1c, SBP, and PP variabilities were added to the model as featured characteristics, the model’s performance was greatly improved.

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Review

Others
Risk Prediction and Management of Chronic Kidney Disease in People Living with Type 2 Diabetes Mellitus: Ying-Guat Ooi, Tharsini Sarvanandan, Nicholas Ken Yoong Hee, Quan-Hziung Lim, Sharmila S. Paramasivam, Jeyakantha Ratnasingam, Shireene R. Vethakkan, Soo-Kun Lim, Lee-Ling Lim; Diabetes Metab J. 2024;48(2):196-207. Published online January 26, 2024; DOI: https://doi.org/10.4093/dmj.2023.0244

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People with type 2 diabetes mellitus have increased risk of chronic kidney disease and atherosclerotic cardiovascular disease. Improved care delivery and implementation of guideline-directed medical therapy have contributed to the declining incidence of atherosclerotic cardiovascular disease in high-income countries. By contrast, the global incidence of chronic kidney disease and associated mortality is either plateaued or increased, leading to escalating direct and indirect medical costs. Given limited resources, better risk stratification approaches to identify people at risk of rapid progression to end-stage kidney disease can reduce therapeutic inertia, facilitate timely interventions and identify the need for early nephrologist referral. Among people with chronic kidney disease G3a and beyond, the kidney failure risk equations (KFRE) have been externally validated and outperformed other risk prediction models. The KFRE can also guide the timing of preparation for kidney replacement therapy with improved healthcare resources planning and may prevent multiple complications and premature mortality among people with chronic kidney disease with and without type 2 diabetes mellitus. The present review summarizes the evidence of KFRE to date and call for future research to validate and evaluate its impact on cardiovascular and mortality outcomes, as well as healthcare resource utilization in multiethnic populations and different healthcare settings.

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A Machine Learning-Based Prediction Model for Diabetic Kidney Disease in Korean Patients with Type 2 Diabetes Mellitus
Kyung Ae Lee, Jong Seung Kim, Yu Ji Kim, In Sun Goak, Heung Yong Jin, Seungyong Park, Hyejin Kang, Tae Sun Park
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Chronic Kidney Disease in Diabetes: A Clinical Practice Guideline
Sheldon W. Tobe, Harpreet S. Bajaj, Navdeep Tangri, Rahul Jain, Thuy Pham, Valerie Beaudin, Phil McFarlane
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Kidney failure risk equation (KFRE), A risk-based triage for nephrology referrals: A mixed-methods study at pre-implementation phase among healthcare providers
Nur Raziana Rozi, Christine Shamala Selvaraj, Jia-Kai Tan, Zhan-Foong Lim, Noor Wahidah Nordin, Nuqman Hakimi Mazhar, Haris Hafizal, Hooi-Chin Beh, Quan-Hziung Lim, Ying-Guat Ooi, Adina Abdullah, Wan Ahmad Hafiz Wan Md Adnan, Pavai Sthaneswar, Soo-Kun Lim
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Construction and validation of a clinical prediction model for diabetic ketoacidosis
Chen Xu, Xingwen Jiang, Quanan He, Peng Xu
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Original Articles

Basic Research
Extracellular Vimentin Alters Energy Metabolism And Induces Adipocyte Hypertrophy: Ji-Hae Park, Soyeon Kwon, Young Mi Park; Diabetes Metab J. 2024;48(2):215-230. Published online September 26, 2023; DOI: https://doi.org/10.4093/dmj.2022.0332

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Background
Previous studies have reported that oxidative stress contributes to obesity characterized by adipocyte hypertrophy. However, mechanism has not been studied extensively. In the current study, we evaluated role of extracellular vimentin secreted by oxidized low-density lipoprotein (oxLDL) in energy metabolism in adipocytes.
Methods
We treated 3T3-L1-derived adipocytes with oxLDL and measured vimentin which was secreted in the media. We evaluated changes in uptake of glucose and free fatty acid, expression of molecules functioning in energy metabolism, synthesis of adenosine triphosphate (ATP) and lactate, markers for endoplasmic reticulum (ER) stress and autophagy in adipocytes treated with recombinant vimentin.
Results
Adipocytes secreted vimentin in response to oxLDL. Microscopic evaluation revealed that vimentin treatment induced increase in adipocyte size and increase in sizes of intracellular lipid droplets with increased intracellular triglyceride. Adipocytes treated with vimentin showed increased uptake of glucose and free fatty acid with increased expression of plasma membrane glucose transporter type 1 (GLUT1), GLUT4, and CD36. Vimentin treatment increased transcription of GLUT1 and hypoxia-inducible factor 1α (Hif-1α) but decreased GLUT4 transcription. Adipose triglyceride lipase (ATGL), peroxisome proliferator-activated receptor γ (PPARγ), sterol regulatory element-binding protein 1 (SREBP1), diacylglycerol O-acyltransferase 1 (DGAT1) and 2 were decreased by vimentin treatment. Markers for ER stress were increased and autophagy was impaired in vimentin-treated adipocytes. No change was observed in synthesis of ATP and lactate in the adipocytes treated with vimentin.
Conclusion
We concluded that extracellular vimentin regulates expression of molecules in energy metabolism and promotes adipocyte hypertrophy. Our results show that vimentin functions in the interplay between oxidative stress and metabolism, suggesting a mechanism by which adipocyte hypertrophy is induced in oxidative stress.

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Guideline/Fact Sheet
Dyslipidemia Fact Sheet in South Korea, 2022: Eun-Sun Jin, Jee-Seon Shim, Sung Eun Kim, Jae Hyun Bae, Shinae Kang, Jong Chul Won, Min-Jeong Shin, Heung Yong Jin, Jenny Moon, Hokyou Lee, Hyeon Chang Kim, In-Kyung Jeong, on Behalf of the Committee of Public Relation of the Korean Society of Lipid and Atherosclerosis; Diabetes Metab J. 2023;47(5):632-642. Published online August 2, 2023; DOI: https://doi.org/10.4093/dmj.2023.0135

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Background
This study aimed to investigate the prevalence and status of dyslipidemia management among South Korean adults, as performed by the Korean Society of Lipid and Atherosclerosis under the name Dyslipidemia Fact Sheet 2022.
Methods
We analyzed the lipid profiles, age-standardized and crude prevalence, management status of hypercholesterolemia and dyslipidemia, and health behaviors among Korean adults aged ≥20 years, using the Korea National Health and Nutrition Examination Survey data between 2007 and 2020.
Results
In South Korea, the crude prevalence of hypercholesterolemia (total cholesterol ≥240 mg/dL or use of a lipid-lowering drug) in 2020 was 24%, and the age-standardized prevalence of hypercholesterolemia more than doubled from 2007 to 2020. The crude treatment rate was 55.2%, and the control rate was 47.7%. The crude prevalence of dyslipidemia—more than one out of three conditions (low-density lipoprotein cholesterol ≥160 or the use of a lipid-lowering drug, triglycerides ≥200, or high-density lipoprotein cholesterol [HDL-C] [men and women] <40 mg/dL)—was 40.2% between 2016 and 2020. However, it increased to 48.2% when the definition of hypo-HDL-cholesterolemia in women changed from <40 to <50 mg/dL.
Conclusion
Although the prevalence of hypercholesterolemia and dyslipidemia has steadily increased in South Korea, the treatment rate remains low. Therefore, continuous efforts are needed to manage dyslipidemia through cooperation between the national healthcare system, patients, and healthcare providers.

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Basic Research
Long Non-Coding RNA TUG1 Attenuates Insulin Resistance in Mice with Gestational Diabetes Mellitus via Regulation of the MicroRNA-328-3p/SREBP-2/ERK Axis: Xuwen Tang, Qingxin Qin, Wenjing Xu, Xuezhen Zhang; Diabetes Metab J. 2023;47(2):267-286. Published online January 19, 2023; DOI: https://doi.org/10.4093/dmj.2021.0216

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Background
Long non-coding RNAs (lncRNAs) have been illustrated to contribute to the development of gestational diabetes mellitus (GDM). In the present study, we aimed to elucidate how lncRNA taurine upregulated gene 1 (TUG1) influences insulin resistance (IR) in a high-fat diet (HFD)-induced mouse model of GDM.
Methods
We initially developed a mouse model of HFD-induced GDM, from which islet tissues were collected for RNA and protein extraction. Interactions among lncRNA TUG1/microRNA (miR)-328-3p/sterol regulatory element binding protein 2 (SREBP-2) were assessed by dual-luciferase reporter assay. Fasting blood glucose (FBG), fasting insulin (FINS), homeostasis model assessment of insulin resistance (HOMA-IR), HOMA pancreatic β-cell function (HOMA-β), insulin sensitivity index for oral glucose tolerance tests (ISOGTT) and insulinogenic index (IGI) levels in mouse serum were measured through conducting gain- and loss-of-function experiments.
Results
Abundant expression of miR-328 and deficient expression of lncRNA TUG1 and SREBP-2 were characterized in the islet tissues of mice with HFD-induced GDM. LncRNA TUG1 competitively bound to miR-328-3p, which specifically targeted SREBP-2. Either depletion of miR-328-3p or restoration of lncRNA TUG1 and SREBP-2 reduced the FBG, FINS, HOMA-β, and HOMA-IR levels while increasing ISOGTT and IGI levels, promoting the expression of the extracellular signal-regulated kinase (ERK) signaling pathway-related genes, and inhibiting apoptosis of islet cells in GDM mice. Upregulation miR-328-3p reversed the alleviative effects of SREBP-2 and lncRNA TUG1 on IR.
Conclusion
Our study provides evidence that the lncRNA TUG1 may prevent IR following GDM through competitively binding to miR-328-3p and promoting the SREBP-2-mediated ERK signaling pathway inactivation.

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Review

Basic Research
Heterogeneity of Islet Cells during Embryogenesis and Differentiation: Shugo Sasaki, Takeshi Miyatsuka; Diabetes Metab J. 2023;47(2):173-184. Published online January 12, 2023; DOI: https://doi.org/10.4093/dmj.2022.0324

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Diabetes is caused by insufficient insulin secretion due to β-cell dysfunction and/or β-cell loss. Therefore, the restoration of functional β-cells by the induction of β-cell differentiation from embryonic stem (ES) and induced-pluripotent stem (iPS) cells, or from somatic non-β-cells, may be a promising curative therapy. To establish an efficient and feasible method for generating functional insulin-producing cells, comprehensive knowledge of pancreas development and β-cell differentiation, including the mechanisms driving cell fate decisions and endocrine cell maturation is crucial. Recent advances in single-cell RNA sequencing (scRNA-seq) technologies have opened a new era in pancreas development and diabetes research, leading to clarification of the detailed transcriptomes of individual insulin-producing cells. Such extensive high-resolution data enables the inference of developmental trajectories during cell transitions and gene regulatory networks. Additionally, advancements in stem cell research have not only enabled their immediate clinical application, but also has made it possible to observe the genetic dynamics of human cell development and maturation in a dish. In this review, we provide an overview of the heterogeneity of islet cells during embryogenesis and differentiation as demonstrated by scRNA-seq studies on the developing and adult pancreata, with implications for the future application of regenerative medicine for diabetes.

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Original Articles

Guideline/Fact Sheet
Diabetes Fact Sheet in Korea 2021: Jae Hyun Bae, Kyung-Do Han, Seung-Hyun Ko, Ye Seul Yang, Jong Han Choi, Kyung Mook Choi, Hyuk-Sang Kwon, Kyu Chang Won, on Behalf of the Committee of Media-Public Relation of the Korean Diabetes Association; Diabetes Metab J. 2022;46(3):417-426. Published online May 25, 2022; DOI: https://doi.org/10.4093/dmj.2022.0106

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Background
This study aimed to investigate the prevalence and management of diabetes mellitus, risk-factor control, and comorbidities among Korean adults.
Methods
We conducted a cross-sectional analysis of data from the Korea National Health and Nutrition Examination Survey to assess the prevalence, treatment, risk factors, comorbidities, and self-management behaviors of diabetes mellitus from 2019 to 2020. We also analyzed data from the Korean National Health Insurance Service to evaluate the use of antidiabetic medications in people with diabetes mellitus from 2002 through 2018.
Results
Among Korean adults aged 30 years or older, the estimated prevalence of diabetes mellitus was 16.7% in 2020. From 2019 through 2020, 65.8% of adults with diabetes mellitus were aware of the disease and treated with antidiabetic medications. The percentage of adults with diabetes mellitus who achieved glycosylated hemoglobin (HbA1c) <6.5% was 24.5% despite the increased use of new antidiabetic medications. We found that adults with diabetes mellitus who achieved all three goals of HbA1c <6.5%, blood pressure (BP) <140/85 mm Hg, and low-density lipoprotein cholesterol <100 mg/dL were 9.7%. The percentage of self-management behaviors was lower in men than women. Excess energy intake was observed in 16.7% of adults with diabetes mellitus.
Conclusion
The prevalence of diabetes mellitus among Korean adults remained high. Only 9.7% of adults with diabetes mellitus achieved all glycemic, BP, and lipid controls from 2019 to 2020. Continuous evaluation of national diabetes statistics and a national effort to increase awareness of diabetes mellitus and improve comprehensive diabetes care are needed.

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Nutrition, Metabolism and Cardiovascular Diseases.2026; 36(6): 104527. CrossRef
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Journal of Diabetes and its Complications.2026; 40(2): 109251. CrossRef
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Min Seok Kim, Seonghee Nam, Jeongwoo Lee, Se Joon Woo
Journal of Korean Medical Science.2026;[Epub] CrossRef
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Aida Kabibulatova, Kamilla Mussina, Joseph Almazan, Antonio Sarria-Santamera, Alessandro Salustri, Kuralay Atageldiyeva
Medical Sciences.2026; 14(1): 52. CrossRef
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Mi Ah Han
Endocrine Research.2026; 51(2): 93. CrossRef
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Yingcheng Huang, Zhongwei Sun, Jin Lan, Yali Wen
BMC Public Health.2026;[Epub] CrossRef
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Woorim Kim, Kyujin Chang, Soon Young Lee, Yeong Jun Ju
BMC Health Services Research.2026;[Epub] CrossRef
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Ibrahim Mssillou, Youness El Abdali, Olja Šovljanski, Meryem Bakour, Hassan Laaroussi, Youssra Aghoutane, Edward. J. Calabrese, Asaad Khalid, Samah H. O. Zarroug, Boutaina Louafi, Dalila Bousta
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Hayat Khan, Sana Shah, Aftab Alam, Muhammad Abbas, Tahani M. Almutairi, Abdul Sadiq, Pordil Khan, Momin Khan
Chemistry & Biodiversity.2026;[Epub] CrossRef
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Journal of Public Economics.2026; 257: 105612. CrossRef
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Endocrinology and Metabolism.2026; 41(1): 86. CrossRef
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Diabetes & Metabolism Journal.2026; 50(2): 267. CrossRef
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Da‐Yeon Lee, Kyung‐Do Han, Ji‐Hee Ko, Han‐Na Jang, Sun Joon Moon, Hye‐Mi Kwon, Se‐Eun Park, Won‐Young Lee, Eun‐Jung Rhee
Journal of Diabetes Investigation.2026; 17(5): 810. CrossRef
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Diabetes, Obesity and Metabolism.2026; 28(6): 4949. CrossRef
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Journal of Diabetes Investigation.2026; 17(6): 1024. CrossRef
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Journal of the East Asian Society of Dietary Life.2026; 36(1): 21. CrossRef
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Inji Lee, Hyunjung Lim
Diabetes & Metabolism Journal.2026;[Epub] CrossRef
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Muyaxin Wang, Wenliang Xue, Jinyu Liu, Yuhao Jiang, Jianhong Luo, Shasha Shi, Xudong Yin, Xinsong Li
ACS Applied Materials & Interfaces.2026; 18(13): 18769. CrossRef
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Yun Gi Kim, Hyoung Seok Lee, Chang-Ok Seo, Yeji Kim, Joo Hee Jeong, Kyung-Do Han, Jaemin Shim, Young-Hoon Kim, Jong-Il Choi
Diabetes & Metabolism Journal.2026;[Epub] CrossRef
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World Journal of Gastroenterology.2026;[Epub] CrossRef
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Sihan Song, Mi Kyoung Son, Bo Mi Song, Joong-Yeon Lim, Hyun-Young Park
Nutrition & Diabetes.2026;[Epub] CrossRef
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Doyeon LIM, Aeri KIM, Hana LEE, Kyungmi WOO
Public Health Nursing.2026;[Epub] CrossRef
Factors Associated With Examinations for Diabetic Complications During the COVID-19 Epidemic
Si A Choi, Mi Ah Han, So Yeon Ryu
Asia Pacific Journal of Public Health.2026; 38(4): 315. CrossRef
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Jinyoung Kim, Joonyub Lee, Mee Kyoung Kim, Oakkee Hong, Young Na, Su‐Jeong Park, Yoon‐Ju Song, Ki‐Hyun Baek, Ki‐Ho Song, Hyuk‐Sang Kwon
Journal of Diabetes Investigation.2026;[Epub] CrossRef
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Diabetes & Metabolism Journal.2026; 50(3): 576. CrossRef
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Dojoon Park, Kyuho Kim, Hae-Seok Koh, Kyungdo Han, Youn-Ho Choi
The Korean Journal of Internal Medicine.2026; 41(3): 485. CrossRef
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Hun Jee Choe, Mi Kyung Kwak, Ji Woo Lee, Yun Mi Choi, Eun-Gyoung Hong
Journal of Obesity & Metabolic Syndrome.2026; 35(2): 237. CrossRef
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Eun Sik Lee, Gyu Bae Lee, Yusun Her, Koh Eun Shin, Kyung‐Hwan Cho, Kyungdo Han, Nai‐Wen Chang, Youngjun Lee, Byoungduck Han, Yang‐Hyun Kim
Clinical and Experimental Dental Research.2026;[Epub] CrossRef
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Psychiatry Investigation.2026; 23(5): 667. CrossRef
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Ye‐Jee Kim, Yun Kyung Cho, Mi‐Sook Kim, Joongyub Lee, Seonghae Kim, Bo Ram Yang
Diabetes, Obesity and Metabolism.2026;[Epub] CrossRef
Association between cardiovascular health measured by Life’s Essential 8 and depressive symptoms
Jeong Hyun Ahn, Hyejin Kim, Hyeon Chang Kim, Hokyou Lee, Younga Heather Lee, Donald M. Lloyd-Jones, Sun Jae Jung
Epidemiology and Health.2026; 48: e2026013. CrossRef
Multidimensional behavioral factors for diabetes management among middle-aged adults: a population-based study
Hyerang Kim, Heesook Son
Journal of Public Health.2025; 33(10): 2147. CrossRef
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Zuhier A. Awan, Haider Ali Khan, Alam Jamal, Sulaiman Shams, Guojun Zheng, Abdul Wadood, Muhammad Shahab, Mohammad Imran Khan, Abdulaziz A. Kalantan
Journal of Biomolecular Structure and Dynamics.2025; 43(5): 2412. CrossRef
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Seong-Uk Baek, Minseo Choi, Yu-Min Lee, Jin-Ha Yoon
Exposure and Health.2025; 17(1): 153. CrossRef
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Diabetes, Obesity and Metabolism.2025; 27(1): 81. CrossRef
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Min Jin Lee, Ji Hyun Bae, Ah Reum Khang, Dongwon Yi, Joo Yeon Kim, Su Hyun Kim, Dong Hee Kim, Dasol Kang, Sujin Park, Yun Kyung Jeon, Sang Soo Kim, Bo Hyun Kim, Mi Sook Yun, Yang Ho Kang
The Journal of Clinical Endocrinology & Metabolism.2025; 110(4): 1076. CrossRef
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Kyoung Hwa Ha, Soyoung Shin, EunJi Na, Dae Jung Kim
Journal of Diabetes Investigation.2025; 16(2): 215. CrossRef
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Woo-Ri Lee, Gyeong-Min Lee, Noorhee Son, Kyu-Tae Han, Sungyoun Chun, Yehrhee Son, Ki-Bong Yoo
Preventive Medicine Reports.2025; 49: 102946. CrossRef
Personal variation in patient-centered relevance Index based on individual characteristics and medical conditions among patients with diabetes Mellitus in Korea
Hyeki Park, Eun-Cheol Park, Woo-Ri Lee, Sungyoun Chun
Chronic Illness.2025; 21(2): 263. CrossRef
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Da Hye Lee, Hwa Young Kim, Ji Young Park, Jaehyun Kim, Jae Hyeon Park
JAMA Pediatrics.2025; 179(2): 155. CrossRef
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Yoon Young Cho, Bongseong Kim, Sang-Man Jin, Chan-Hee Jung, Ji Oh Mok, Sun Wook Kim, Jae Hoon Chung, Kyung-Do Han, Tae Hyuk Kim
Thyroid®.2025; 35(1): 60. CrossRef
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In-Jeong Cho, Mi-Seung Shin
The Korean Journal of Internal Medicine.2025; 40(1): 15. CrossRef
Diabetes Fact Sheets in Korea 2024
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Diabetes & Metabolism Journal.2025; 49(1): 24. CrossRef
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Diabetes & Metabolism Journal.2025; 49(1): 13. CrossRef
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Byung-Joon Ko, Jin-Hyung Jung, Kyungdo Han, Ga Eun Nam
JAMA Network Open.2025; 8(1): e2455388. CrossRef
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Minji Kang, Kumhee Son, You-Cheol Hwang, Sihoon Lee, Hyunji Sang, Sunyoung Kim, Dong Keon Yon, Sang Youl Rhee, Hyunjung Lim
Diabetes.2025; 74(2): 199. CrossRef
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Hyunji Sang, Sunyoung Kim, Jiyoung Hwang, Selin Woo, Jaewon Kim, Dong Keon Yon, Sang Youl Rhee, Aleksandra Klisic
PLOS ONE.2025; 20(1): e0315603. CrossRef
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Yongin Cho, Sung-Hee Shin, Min-Ae Park, Young Ju Suh, Sojeong Park, Ji-Hun Jang, Dae-Young Kim, So Hun Kim, Xinlin Zhang
PLOS ONE.2025; 20(2): e0314454. CrossRef
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Xinwei Liu, Bing Wu, Yongqiang Lai, Xiyu Zhang, Hongyu Li, Fangqi Qu, Chenxi Zhang, Yulu Tian, Xuelian Fu, Jida Li, Huiqi Yang, Rui Chen, Baoguo Shi, Yanan Ma, Jia Meng, Ye Li
Diabetes/Metabolism Research and Reviews.2025;[Epub] CrossRef
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Ahmad Khaleel AlOmari
Diamond and Related Materials.2025; 154: 112137. CrossRef
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Endocrinology and Metabolism.2025; 40(1): 93. CrossRef
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Joonyub Lee, Kun-Ho Yoon
Endocrinology and Metabolism.2025; 40(1): 57. CrossRef
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Patrick Martin, Judith Kimiywe, Ann Munyaka
International Journal of Nutrition and Food Sciences.2025; 14(1): 74. CrossRef
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International Journal of Molecular Sciences.2025; 26(6): 2597. CrossRef
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Ji Yoon Kim, Jiyoon Lee, Joon Ho Moon, Se Eun Park, Seung-Hyun Ko, Sung Hee Choi, Nam Hoon Kim
Diabetes & Metabolism Journal.2025; 49(2): 172. CrossRef
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Kyuho Kim, Bongseong Kim, Kyuna Lee, Yu-Bae Ahn, Seung-Hyun Ko, Sung Hee Choi, Kyungdo Han, Jae-Seung Yun
Diabetes & Metabolism Journal.2025; 49(2): 183. CrossRef
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Diabetes, Obesity and Metabolism.2025; 27(6): 2996. CrossRef
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Diabetes & Metabolism Journal.2025; 49(2): 225. CrossRef
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Jonguk Kim, Kyung-Do Han, Jeong-Yoon Lee, Ye Seul Yang, Dae Young Cheon, Jae-Jun Lee, Minwoo Lee
Alzheimer's Research & Therapy.2025;[Epub] CrossRef
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Min Jeong Park, Minwoong Kang, Soo Yeon Jang, Ahreum Jang, Eyun Song, Kyung Mook Choi, Sei Hyun Baik, Hye Jin Yoo
BMJ Open.2025; 15(3): e093598. CrossRef
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Journal of Clinical Medicine.2025; 14(6): 2065. CrossRef
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Endocrinology and Metabolism.2025; 40(2): 258. CrossRef
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Jiyoung Shin, Hye Young Woo, Eun-Ah Jo, Ara Cho, Ahram Han, Sanghyun Ahn, Sangil Min, Jongwon Ha
Annals of Surgical Treatment and Research.2025; 108(5): 271. CrossRef
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Junhee Park, Kyungdo Han, Kyuna Lee, Yoosoo Chang, Dong Wook Shin
Healthcare.2025; 13(7): 796. CrossRef
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Jae-Min Park, Ja-Eun Choi, Youhyun Song, Yu-Jin Kwon, Ji-Won Lee, Kyung-Won Hong
Frontiers in Nutrition.2025;[Epub] CrossRef
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Ye-In Son, Soo-Kyung Lee
Journal of Nutrition and Health.2025; 58(2): 179. CrossRef
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Journal of Mind and Medical Sciences.2025; 12(1): 14. CrossRef
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Results in Chemistry.2025; 15: 102237. CrossRef
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The Journal of Internal Korean Medicine.2025; 46(1): 1. CrossRef
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Sustainable Chemistry and Pharmacy.2025; 45: 102039. CrossRef
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Korean Circulation Journal.2025; 55(8): 736. CrossRef
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Journal of Obesity & Metabolic Syndrome.2025; 34(2): 148. CrossRef
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Yerin Hwang, Hyunmin Lee, Moon‐Kyu Lee
Journal of Diabetes Investigation.2025; 16(8): 1357. CrossRef
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Korean Journal of Family Practice.2025; 15(2): 96. CrossRef
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Journal of Korean Academy of Nursing.2025; 55(2): 205. CrossRef
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Kyoung Jin Kim, Seol A. Jang, Su Jin Kwon, Gi Hyeon Seo, Kyoung Min Kim
Calcified Tissue International.2025;[Epub] CrossRef
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Myung Jin Kim, Yun Kyung Cho, Sehee Kim, Jung Yoon Moon, Chang Hee Jung, Woo Je Lee
Diabetes, Obesity and Metabolism.2025; 27(9): 5019. CrossRef
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Yaelim Kim, Yeonghun Choi, Kyu-Na Lee, Hyunji Sang, Kyungdo Han, Sunyoung Kim, Sang Youl Rhee
Scientific Reports.2025;[Epub] CrossRef
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Scientific Reports.2025;[Epub] CrossRef
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You-Bin Lee, Kyungdo Han, Bongsung Kim, So Hee Park, Kyu Yeon Hur, Gyuri Kim, Jae Hyeon Kim, Sang-Man Jin
Endocrinology and Metabolism.2025; 40(3): 421. CrossRef
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Diabetes & Metabolism Journal.2025; 49(4): 582. CrossRef
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Djoko Priyono, Sanghee Kim
Science Progress.2025;[Epub] CrossRef
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Bin Hong, Hyesung Lee, Jae Hyun Bae, Young Min Cho, Ju-Young Shin
The Journal of Allergy and Clinical Immunology: In Practice.2025; 13(8): 2025. CrossRef
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Woo-Ri Lee, Sungyoun Chun, Noorhee Son, Yehrhee Son, Ki-Bong Yoo
BMC Public Health.2025;[Epub] CrossRef
Transfer learning prediction of type 2 diabetes with unpaired clinical and genetic data
YounSung Jung, SeanKyo Han, EunHee Kang, SoYoung Park, MinHee Kim, NanHee Kim, TaeJin Ahn
Scientific Reports.2025;[Epub] CrossRef
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Eun‐Gyoung Hong, Kyung‐Wan Min, SungWan Chun, Choon Hee Chung, Seungjoon Oh, Chang Beom Lee, Dong‐Jun Kim, Hye Soon Kim, Ji Oh Mok, Tae Seo Sohn, Jeong Hyun Park, Sung Hee Choi, Sungrae Kim, Sang Soo Kim, Kyu Yeon Hur, Chong Hwa Kim, Young Min Cho, Byung‐
Diabetes, Obesity and Metabolism.2025; 27(10): 5727. CrossRef
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Soomin Lee, Younghwan Choi, Yeon Soo Kim
Journal of Diabetes & Metabolic Disorders.2025;[Epub] CrossRef
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Joo-Hyun Park, Jung Yong Hong, Kyungdo Han, Jay J. Shen, Se Hoon Park
Cancer Research and Treatment.2025; 57(4): 1178. CrossRef
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Jae-Seung Yun, Jin-Hyung Jung, Bongseong Kim, Kyuho Kim, Yu-Bae Ahn, Seung Yeon Kim, Sooha Jung, Kyungdo Han, Seung-Hyun Ko
Diabetes Research and Clinical Practice.2025; 227: 112401. CrossRef
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Hwa Young Kim, Eunjeong Ji, Jaehyun Kim
Journal of Korean Medical Science.2025;[Epub] CrossRef
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Hyunji Sang, Sunyoung Kim, Jiyoung Hwang, Selin Woo, Yerin Hwang, Jaewon Kim, Seohei Lee, Dong Keon Yon, Sang Youl Rhee, Hidetaka Hamasaki
PLOS One.2025; 20(8): e0329003. CrossRef
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Ye Seul Yang, Eu Jeong Ku, Seung-Hyun Ko, Eun-Jung Rhee, Sang-Hyun Ihm, Sung Hee Choi, Won-Young Lee
The Korean Journal of Internal Medicine.2025; 40(5): 696. CrossRef
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Journal of Internal Medicine.2025; 298(4): 336. CrossRef
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Drug Design, Development and Therapy.2025; Volume 19: 7825. CrossRef
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Diabetes, Obesity and Metabolism.2025; 27(12): 7110. CrossRef
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Endocrinology and Metabolism.2025; 40(5): 727. CrossRef
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Cardiovascular Prevention and Pharmacotherapy.2025; 7(4): 135. CrossRef
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Acta Diabetologica.2025; 63(2): 209. CrossRef
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Diabetes & Metabolism Journal.2025; 49(6): 1178. CrossRef
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The Korean Journal of Internal Medicine.2025; 40(6): 1017. CrossRef
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Scientific Reports.2025;[Epub] CrossRef
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Scientific Reports.2025;[Epub] CrossRef
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Eugene Han, Byung-Wan Lee, Eun Seok Kang, Bong-Soo Cha, Jangho Lee, Yong-ho Lee
Journal of Obesity & Metabolic Syndrome.2025; 34(4): 414. CrossRef
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Diabetology & Metabolic Syndrome.2025;[Epub] CrossRef
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Endocrinology and Metabolism.2025; 40(6): 991. CrossRef
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Diabetes, Obesity and Metabolism.2024; 26(2): 567. CrossRef
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American Journal of Preventive Medicine.2024; 66(4): 717. CrossRef
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Yonsei Medical Journal.2024; 65(1): 42. CrossRef
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Yeong Jun Ju, Woorim Kim, Kyujin Chang, Tae Hoon Lee, Soon Young Lee
Preventive Medicine.2024; 178: 107793. CrossRef
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Tae Kyung Yoo, Kyung‐Do Han, Eun‐Jung Rhee, Won‐Young Lee
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BMC Gastroenterology.2024;[Epub] CrossRef
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Byeong Yun Ahn, Bokyung Kim, Sanghyun Park, Sang Gyun Kim, Kyungdo Han, Soo‐Jeong Cho
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Diabetes Therapy.2024; 15(2): 547. CrossRef
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Weiwei Dong, Xiaobai Liu, Lu Ma, Zhiyong Yang, Chunyan Ma
Food & Function.2024; 15(3): 1575. CrossRef
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Diabetes Research and Clinical Practice.2024; 208: 111109. CrossRef
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Cardiovascular Prevention and Pharmacotherapy.2024; 6(1): 17. CrossRef
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Kidney Research and Clinical Practice.2024; 43(1): 20. CrossRef
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Jung Lim Lee, Youngji Kim
Healthcare.2024; 12(3): 368. CrossRef
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Seo Yeon Baik, Kyoung Min Kim, Hakyoung Park, Jiwon Shinn, Hun-Sung Kim
Cardiovascular Prevention and Pharmacotherapy.2024; 6(1): 33. CrossRef
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Kyung-Soo Kim, Sangmo Hong, Kyungdo Han, Cheol-Young Park
BMJ.2024; 384: e076388. CrossRef
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Hee Joo Yang, Mi Young Lee, Jeong Hyeon Lee, Chang Jin Jung, Woo Jin Lee, Chong Hyun Won, Mi Woo Lee, Joon Min Jung, Sung Eun Chang
Scientific Reports.2024;[Epub] CrossRef
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Thi Minh Thu Khong, Thi Tra Bui, Hee-Yeon Kang, Jinhee Lee, Eunjung Park, Jin-Kyoung Oh
BMJ Open Diabetes Research & Care.2024; 12(1): e003696. CrossRef
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Mihwan Kim, Haejung Lee, Gaeun Park, Ah Reum Khang
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Journal of Personalized Medicine.2024; 14(3): 280. CrossRef
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Na Yeon Kim, Haekyung Lee, Sehee Kim, Ye-Jee Kim, Hyunsuk Lee, Junhyeong Lee, Soo Heon Kwak, Seunggeun Lee
Scientific Reports.2024;[Epub] CrossRef
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So Yon Jun, Sooyoung Cho, Min Jung Kim, Ji Won Park, Seung‐Bum Ryoo, Seung Yong Jeong, Kyu Joo Park, Aesun Shin
Cancer Medicine.2024;[Epub] CrossRef
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Diabetes & Metabolism Journal.2024; 48(2): 279. CrossRef
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Min Jin Lee, Ji Hyun Bae, Ah Reum Khang, Dongwon Yi, Mi Sook Yun, Yang Ho Kang
Diabetes Research and Clinical Practice.2024; 210: 111640. CrossRef
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Eun-Gyoung Hong, Kyung-Wan Min, Jung Soo Lim, Kyu-Jeung Ahn, Chul Woo Ahn, Jae-Myung Yu, Hye Soon Kim, Hyun Jin Kim, Won Kim, Dong Han Kim, Hak Chul Jang
Advances in Therapy.2024; 41(5): 1967. CrossRef
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Kyung Hoon Kim, Hyung Woo Kim, Yong Hyun Kim, Yeonhee Park, Sung Soo Jung, Jin Woo Kim, Jee Youn Oh, Heayon Lee, Sung Kyoung Kim, Sun‐Hyung Kim, Jiwon Lyu, Yousang Ko, Sun Jung Kwon, Yun‐Jeong Jeong, Do Jin Kim, Hyeon‐Kyoung Koo, Yangjin Jegal, Sun Young
Respirology.2024; 29(7): 624. CrossRef
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Jin-Ah Seok, Yeon-Kyung Lee
Nutrition Research and Practice.2024; 18(2): 239. CrossRef
Management of Early-Onset Type 2 Diabetes
Jin Hwa Kim
The Journal of Korean Diabetes.2024; 25(1): 4. CrossRef
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Diabetes, Obesity and Metabolism.2024; 26(9): 3642. CrossRef
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Kang-Su Shin, Min-Seung Park, Mi Yeon Lee, Eun Hye Cho, Hee-Yeon Woo, Hyosoon Park, Min-Jung Kwon
Scandinavian Journal of Clinical and Laboratory Investigation.2024; 84(3): 168. CrossRef
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Journal of Clinical Medicine.2024; 13(8): 2311. CrossRef
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Diabetes, Obesity and Metabolism.2024; 26(7): 2567. CrossRef
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Endocrinology and Metabolism.2024; 39(2): 344. CrossRef
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Epidemiology and Health.2024; 46: e2024029. CrossRef
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Endocrinology and Metabolism.2024; 39(3): 479. CrossRef
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Journal of Korean Medical Science.2024;[Epub] CrossRef
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Frontiers in Endocrinology.2024;[Epub] CrossRef
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British Journal of Health Psychology.2024; 29(4): 1000. CrossRef
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Diabetes & Metabolism Journal.2024; 48(4): 790. CrossRef
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Diabetes & Metabolism Journal.2024; 48(4): 546. CrossRef
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Diabetes & Metabolism Journal.2024; 48(4): 709. CrossRef
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Diabetes & Metabolism Journal.2024; 48(4): 531. CrossRef
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JMIR Public Health and Surveillance.2024; 10: e59571. CrossRef
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Diabetes & Metabolism Journal.2024; 48(5): 929. CrossRef
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Journal of Korean Gerontological Nursing.2024; 26(3): 257. CrossRef
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Endocrinology and Metabolism.2024; 39(4): 622. CrossRef
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Clinical Hypertension.2024;[Epub] CrossRef
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Frontiers in Public Health.2024;[Epub] CrossRef
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Diabetes & Metabolism Journal.2024; 48(5): 915. CrossRef
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Jong Han Choi, Chen Lulu, Seon-Joo Park, Hae-Jeung Lee
BMC Public Health.2024;[Epub] CrossRef
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Hye Ran Shin, Jihye Kim, SuJin Song
Nutrition Journal.2024;[Epub] CrossRef
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European Journal of Cancer.2024; 213: 114312. CrossRef
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Scientific Reports.2024;[Epub] CrossRef
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Sangshin Park, Dong-Hwa Lee, Shinyoung Lee, Hyun Jeong Jeon
Diabetes, Metabolic Syndrome and Obesity.2024; Volume 17: 3917. CrossRef
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Mikyung Ryu
Korean Journal of Health Education and Promotion.2024; 41(3): 73. CrossRef
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Endocrinology and Metabolism.2024; 39(5): 711. CrossRef
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Yunmin Han, Younghwan Choi, Yeon Soo Kim
Clinical Hypertension.2024;[Epub] CrossRef
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Yeo Ju Sohn, Hong Soo Lee, Hasuk Bae, Hee Cheol Kang, Hyejin Chun, Insun Ryou, Eun Jee Chang, Sungchan Kang, Sang Wha Lee, Kyung Won Shim, Mario Ulises Pérez-Zepeda
PLOS ONE.2024; 19(10): e0309558. CrossRef
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Jie-Eun Lee, Jong Chul Won
Cardiovascular Prevention and Pharmacotherapy.2024; 6(4): 116. CrossRef
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종한 최, 민경 문
Public Health Weekly Report.2024; 17(44): 1905. CrossRef
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PLOS ONE.2024; 19(11): e0313988. CrossRef
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Chiwook Chung, Kyu Na Lee, Kyungdo Han, Junhee Park, Dong Wook Shin, Sei Won Lee
Respiratory Research.2024;[Epub] CrossRef
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Journal of the Korean Medical Association.2024; 67(11): 686. CrossRef
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Diabetes & Metabolism Journal.2024; 48(6): 1084. CrossRef
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Others
Fasting Glucose Variability and the Risk of Dementia in Individuals with Diabetes: A Nationwide Cohort Study: Da Young Lee, Jaeyoung Kim, Sanghyun Park, So Young Park, Ji Hee Yu, Ji A Seo, Nam Hoon Kim, Hye Jin Yoo, Sin Gon Kim, Kyung Mook Choi, Sei Hyun Baik, Kyungdo Han, Nan Hee Kim; Diabetes Metab J. 2022;46(6):923-935. Published online May 24, 2022; DOI: https://doi.org/10.4093/dmj.2021.0346

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Abstract PDF Supplementary Material PubReader ePub

Background
We investigated whether fasting glucose (FG) variability could predict the risk of dementia.
Methods
This cohort study analyzed data from Koreans with diabetes after at least three health examinations by the Korean National Health Insurance Corporation between 2005 and 2010, which included at least one examination between 2009 and 2010. A total of 769,554 individuals were included, excluding those aged <40 years and those with dementia. FG variability was measured using the variability independent of the mean (FG-VIM). The incidence of dementia was defined by the International Classification of Diseases 10th Revision codes and prescription of anti-dementia medication and was subdivided into Alzheimer’s disease (AD) and vascular dementia (VD).
Results
During the 6.9-year follow-up, 54,837, 41,032, and 6,892 cases of all-cause dementia, AD, and VD, respectively, were identified. Cox proportional regression analyses showed that as the FG-VIM quartile increased, the risk of dementia serially increased after adjustment for metabolic factors, income status, and diabetes-related characteristics, including the mean FG. Participants in FG-VIM quartile 4 showed a 18%, 19%, and 17% higher risk for all-cause dementia, AD, and VD, respectively, than those in quartile 1; this particularly included non-obese patients with a longer duration of diabetes, high FG levels, dyslipidemia, and those taking glucose-lowering medications. Conversely, the baseline FG status and dementia showed a U-shaped association.
Conclusion
Increased FG variability over 5 years can predict the risk of dementia in individuals with diabetes in Korea. This finding was more pronounced in patients with less favorable metabolic profiles.

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Short Communication

Drug/Regimen
The Efficacy of Treatment Intensification by Quadruple Oral Therapy Compared to GLP-1RA Therapy in Poorly Controlled Type 2 Diabetes Mellitus Patients: A Real-World Data Study: Minyoung Kim, Hosu Kim, Kyong Young Kim, Soo Kyoung Kim, Junghwa Jung, Jong Ryeal Hahm, Jaehoon Jung, Jong Ha Baek; Diabetes Metab J. 2023;47(1):135-139. Published online April 29, 2022; DOI: https://doi.org/10.4093/dmj.2021.0373

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Abstract PDF Supplementary Material PubReader ePub

We compared the glycemic efficacy of treatment intensification between quadruple oral antidiabetic drug therapy and once-weekly glucagon-like peptide-1 receptor agonist (GLP-1RA)-based triple therapy in patients with poorly controlled type 2 diabetes mellitus refractory to triple oral therapy. For 24 weeks, changes in glycosylated hemoglobin (HbA1c) from baseline were compared between the two treatment groups. Of all 96 patients, 50 patients were treated with quadruple therapy, and 46 were treated with GLP-1RA therapy. Reductions in HbA1c for 24 weeks were comparable (in both, 1.1% reduction from baseline; P=0.59). Meanwhile, lower C-peptide level was associated with a lower glucose-lowering response of GLP-1RA therapy (R=0.3, P=0.04) but not with quadruple therapy (R=–0.13, P=0.40). HbA1c reduction by GLP-1RA therapy was inferior to that by quadruple therapy in the low C-peptide subgroup (mean, –0.1% vs. –1.3%; P=0.04). Treatment intensification by switching to quadruple oral therapy showed similar glucose-lowering efficacy to weekly GLP-1RA-based triple therapy. Meanwhile, the therapeutic response was affected by C-peptide levels in the GLP-1RA therapy group but not in the quadruple therapy group.

Citations

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Original Articles

Others
Influence of Maternal Diabetes on the Risk of Neurodevelopmental Disorders in Offspring in the Prenatal and Postnatal Periods: Verónica Perea, Xavier Urquizu, Maite Valverde, Marina Macias, Anna Carmona, Esther Esteve, Gemma Escribano, Nuria Pons, Oriol Giménez, Teresa Gironés, Andreu Simó-Servat, Andrea Domenech, Núria Alonso-Carril, Carme Quirós, Antonio J. Amor, Eva López, Maria José Barahona; Diabetes Metab J. 2022;46(6):912-922. Published online April 29, 2022; DOI: https://doi.org/10.4093/dmj.2021.0340

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Background
This study aimed to evaluate the influence of maternal diabetes in the risk of neurodevelopmental disorders in offspring in the prenatal and postnatal periods.
Methods
This cohort study included singleton gestational diabetes mellitus (GDM) pregnancies >22 weeks’ gestation with live newborns between 1991 and 2008. The control group was randomly selected and matched (1:2) for maternal age, weeks of gestation and birth year. Cox regression models estimated the effect of GDM on the risk of attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and maternal type 2 diabetes mellitus (T2DM). Moreover, interaction between maternal T2DM and GDM-ADHD relationship was evaluated.
Results
Children (n=3,123) were included (1,073 GDM; 2,050 control group). The median follow-up was 18.2 years (interquartile range, 14.2 to 22.3) (n=323 with ADHD, n=36 with ASD, and n=275 from women who developed T2DM). GDM exposure was associated with ADHD (hazard ratio [HR]_crude, 1.67; 95% confidence interval [CI], 1.33 to 2.07) (HR_adjusted, 1.64; 95% CI, 1.31 to 2.05). This association remained significant regardless of the treatment (diet or insulin) and diagnosis after 26 weeks of gestation. Children of mothers who developed T2DM presented higher rates of ADHD (14.2 vs. 10%, P=0.029). However, no interaction was found when T2DM was included in the GDM and ADHD models (P>0.05). GDM was not associated with an increased risk of ASD (HR_adjusted, 1.46; 95% CI, 0.74 to 2.84).
Conclusion
Prenatal exposure to GDM increases the risk of ADHD in offspring, regardless of GDM treatment complexity. However, postnatal exposure to maternal T2DM was not related to the development of ADHD.

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GDM-Related Neurodevelopmental and Neuropsychiatric Disorders in the Mothers and Their Progeny, and the Underlying Mechanisms
Zhijin Yan, Jianhong Pu, Dawei Li, Mingxing Liu, Zhice Xu, Jiaqi Tang
Journal of Personalized Medicine.2026; 16(1): 19. CrossRef
Gestational diabetes mellitus and the risk of autism spectrum disorder in offspring: a population-based retrospective cohort study
David Rubinshtein, Omri Zamstein, Tamar Wainstock, Eyal Sheiner
Frontiers in Clinical Diabetes and Healthcare.2026;[Epub] CrossRef
Biopsychosocial factors during pregnancy and their implications for autism spectrum disorder: a scoping review
Jusselit Estrada, Jasna Ahumada Guzmán, Ana Sol Aguayo, María Angélica Miglino, Mariano del Sol
BMC Pediatrics.2026;[Epub] CrossRef
Neurodevelopmental outcomes of children born to diabetic mothers in the Qatari population: a retrospective study
Razan M Masri, Mohammad A A Bayoumi, Rasha I Amin, Hafsa O A Alsharif, Amna Musa, Ahmad S Mudrek, Basma A M R Selim, Prem Chandra, Samah Elshaar
BMJ Paediatrics Open.2026; 10(1): e004232. CrossRef
Maternal diabetes during pregnancy and offspring's risk of autism spectrum disorder: A systematic review and meta-analysis
Mayra J. Garza-Martínez, José Á. Hernández-Mariano, Erika M. Hurtado-Salgado, Lea A. Cupul-Uicab
Journal of Psychiatric Research.2025; 182: 100. CrossRef
The association between maternal diabetes and the risk of attention deficit hyperactivity disorder in offspring: an updated systematic review and meta-analysis
Yitayish Damtie, Berihun Assefa Dachew, Getinet Ayano, Abay Woday Tadesse, Kim Betts, Rosa Alati
European Child & Adolescent Psychiatry.2025; 34(8): 2417. CrossRef
Research Progress on Short-Term and Long-Term Complications of Infants of Diabetic Mothers
桂婷冯
Advances in Clinical Medicine.2025; 15(03): 716. CrossRef
Gut–Brain Inflammatory Pathways in Attention-Deficit/Hyperactivity Disorder: The Role and Therapeutic Potential of Diet
Naomi Lewis, Jim Lagopoulos, Anthony Villani
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The association between maternal diabetes, antidiabetic medication use, and severe ADHD requiring inpatient care: A registry-based cohort study
Yitayish Damtie, Kim Betts, Berihun Assefa Dachew, Getinet Ayano, Rosa Alati
Journal of Psychosomatic Research.2025; 195: 112167. CrossRef
Gestational Diabetes Mellitus Model and its Pharmacological Validation
A. S. Solomina, K. S. Kachalov, A. V. Rodina, A. D. Durnev, L. G. Kolik
Journal Biomed.2025; 21(2): 58. CrossRef
“Risk of Autism Spectrum Disorder in Descendants of Women With Gestational Diabetes and Polycystic Ovary Syndrome: A Systematic Review and Meta‐Analysis”
Francisca Bravo‐Muñoz, Isidora Bustos, Diana Muñoz‐Fierro, Sofía San‐Martín, Catalina Tabilo, Macarena Véliz, Taide Zaror, Paulina Ormazabal, Nele Brusselaers, Romina Fornes
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Gestational Diabetes and Obesity: Immediate and Late Sequelae for Offspring
Maria Kaza, George Paltoglou, Kalliopi Rodolaki, Konstantinos Kakleas, Spyridon Karanasios, Kyriaki Karavanaki
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Laura Panisello, Javier Mateu-Fabregat, Nil Novau-Ferré, Nicolas Ayala-Aldana, Sara Bernardo-Castro, Muriel Ferrer, Pol Jiménez-Arenas, Elisa Llurba, Camille Lassale, María Dolores Gómez-Roig, Jesús Vioque, Sandra González-Palacios, Oren Contreras-Rodrígu
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Effects of a Diabetic Microenvironment on Neurodegeneration: Special Focus on Neurological Cells
Vishal Chavda, Dhananjay Yadav, Snehal Patel, Minseok Song
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Understanding the link between different types of maternal diabetes and the onset of autism spectrum disorders
Wenyu Shao, Yichun Su, Jiayin Liu, Yulong Liu, Jinghui Zhao, Xiaotang Fan
Diabetes & Metabolism.2024; 50(4): 101543. CrossRef
Tracing the influence of prenatal risk factors on the offspring retina: Focus on development and putative long‐term consequences
Filipa I. Baptista, António F. Ambrósio
European Journal of Clinical Investigation.2024;[Epub] CrossRef
Risk cycling in diabetes and autism spectrum disorder: a bidirectional Mendelian randomization study
Yunfeng Yu, Xinyu Yang, Gang Hu, Keke Tong, Jingyi Wu, Rong Yu
Frontiers in Endocrinology.2024;[Epub] CrossRef
A Prospective Study on Evaluating the Long-Term Effects of Childhood Vaccination from Birth to 13 Years Old in Kuwait
Nedaa A. Al-Khamees
Health.2024; 16(10): 932. CrossRef
Maternal Diabetes Deregulates the Expression of Mecp2 via miR-26b-5p in Mouse Embryonic Neural Stem Cells
Sukanya Shyamasundar, Seshadri Ramya, Deepika Kandilya, Dinesh Kumar Srinivasan, Boon Huat Bay, Suraiya Anjum Ansari, S Thameem Dheen
Cells.2023; 12(11): 1516. CrossRef
Evaluating the prospects of using gestational diabetes mellitus model to find means of pharmacological correction of the disorders in rat offspring
A. S. Solomina, A. V. Rodina, K. S. Kachalov, A. D. Zakharov, A. D. Durnev
Pharmacokinetics and Pharmacodynamics.2023; (2): 45. CrossRef
Hair and cord blood element levels and their relationship with air pollution, dietary intake, gestational diabetes mellitus, and infant neurodevelopment
Yin-Yin Xia, Jamie V. de Seymour, Xiao-Jia Yang, Lin-Wei Zhou, Yue Liu, Yang Yang, Kathryn L. Beck, Cathryn A. Conlon, Toby Mansell, Boris Novakovic, Richard Saffery, Ting-Li Han, Hua Zhang, Philip N. Baker
Clinical Nutrition.2023; 42(10): 1875. CrossRef
Role of Excessive Weight Gain During Gestation in the Risk of ADHD in Offspring of Women With Gestational Diabetes
Verónica Perea, Andreu Simó-Servat, Carmen Quirós, Nuria Alonso-Carril, Maite Valverde, Xavier Urquizu, Antonio J Amor, Eva López, Maria-José Barahona
The Journal of Clinical Endocrinology & Metabolism.2022; 107(10): e4203. CrossRef

Type 1 Diabetes
Abnormal Responses in Cognitive Impulsivity Circuits Are Associated with Glycosylated Hemoglobin Trajectories in Type 1 Diabetes Mellitus and Impaired Metabolic Control: Helena Jorge, Isabel C. Duarte, Sandra Paiva, Ana Paula Relvas, Miguel Castelo-Branco; Diabetes Metab J. 2022;46(6):866-878. Published online March 22, 2022; DOI: https://doi.org/10.4093/dmj.2021.0307

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Background
Risky health decisions and impulse control profiles may impact on metabolic control in type 1 diabetes mellitus (T1DM). We hypothesize that the neural correlates of cognitive impulsivity and decision-making in T1DM relate to metabolic control trajectories.
Methods
We combined functional magnetic resonance imaging (fMRI), measures of metabolic trajectories (glycosylated hemoglobin [HbA1c] over multiple time points) and behavioral assessment using a cognitive impulsivity paradigm, the Balloon Analogue Risk Task (BART), in 50 participants (25 T1DM and 25 controls).
Results
Behavioral results showed that T1DM participants followed a rigid conservative risk strategy along the iterative game. Imaging group comparisons showed that patients showed larger activation of reward related, limbic regions (nucleus accumbens, amygdala) and insula (interoceptive saliency network) in initial game stages. Upon game completion differences emerged in relation to error monitoring (anterior cingulate cortex [ACC]) and inhibitory control (inferior frontal gyrus). Importantly, activity in the saliency network (ACC and insula), which monitors interoceptive states, was related with metabolic trajectories, which was also found for limbic/reward networks. Parietal and posterior cingulate regions activated both in controls and patients with adaptive decision-making, and positively associated with metabolic trajectories.
Conclusion
We found triple converging evidence when comparing metabolic trajectories, patients versus controls or risk averse (non-learners) versus patients who learned by trial and error. Dopaminergic reward and saliency (interoceptive and error monitoring) circuits show a tight link with impaired metabolic trajectories and cognitive impulsivity in T1DM. Activity in parietal and posterior cingulate are associated with adaptive trajectories. This link between reward-saliency-inhibition circuits suggests novel strategies for patient management.

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Multimodal MRI neurodevelopmental profiling in type 1 diabetes: long-term effects of MDI vs CSII treatments
Pasquale Anthony Della Rosa, Nicolò Pecco, Sonia Francesca Calloni, Matteo Canini, Claudia Oprandi, Deborah Pavani, Graziana Grimaldi, Lorenzo Veronese, Valeria Favalli, Giulio Frontino, Andrea Gambarini, Gabriele Olivieri, Roberta Scotti, Silvia Pontesil
The Journal of Clinical Endocrinology & Metabolism.2026;[Epub] CrossRef
Functional brain connectivity in type 1 diabetes and associations to diabetes complications – a systematic review of fMRI studies
Janusiya A. Muthulingam, Jens B. Frøkjær, Mimoza Gjela, Niels Ejskjaer, Asbjørn M. Drewes, Tine M. Hansen, Suganthiya S. Croosu
Frontiers in Neuroendocrinology.2026; 81: 101249. CrossRef
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Giulia Locatelli, Austin Matus, Chin-Yen Lin, Ercole Vellone, Barbara Riegel
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Editorial: Translational neuroeconomic approach: from economic decision making to neuropsychological disorders
Mrinalini Srivastava, S. Senthil Kumaran, Achal Kumar Srivastava, Sanjay Singh
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Neuroeconomically dissociable forms of mental accounting are altered in a mouse model of diabetes
Chinonso A. Nwakama, Romain Durand-de Cuttoli, Zainab M. Oketokoun, Samantha O. Brown, Jillian E. Haller, Adriana Méndez, Mohammad Jodeiri Farshbaf, Y. Zoe Cho, Sanjana Ahmed, Sophia Leng, Jessica L. Ables, Brian M. Sweis
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Trust‐Based Decision‐Making in the Health and Economic Domains Shows Similar Neural Correlates
Isabel Catarina Duarte, Bruno Ribeiro, Helena Jorge, Bruno Direito, Miguel Castelo‐Branco
Annals of the New York Academy of Sciences.2025; 1553(1): 300. CrossRef
Glycated hemoglobin, type 2 diabetes, and poor diabetes control are positively associated with impulsivity changes in aged individuals with overweight or obesity and metabolic syndrome
Carlos Gómez‐Martínez, Nancy Babio, Lucía Camacho‐Barcia, Jordi Júlvez, Stephanie K. Nishi, Zenaida Vázquez, Laura Forcano, Andrea Álvarez‐Sala, Aida Cuenca‐Royo, Rafael de la Torre, Marta Fanlo‐Maresma, Susanna Tello, Dolores Corella, Alejandro Arias Vás
Annals of the New York Academy of Sciences.2024;[Epub] CrossRef
The usefulness of an intervention with a serious video game as a complementary approach to cognitive behavioural therapy in eating disorders: A pilot randomized clinical trial for impulsivity management
Cristina Vintró‐Alcaraz, Núria Mallorquí‐Bagué, María Lozano‐Madrid, Giulia Testa, Roser Granero, Isabel Sánchez, Janet Treasure, Susana Jiménez‐Murcia, Fernando Fernández‐Aranda
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Charline Compagne, Juliana Teti Mayer, Damien Gabriel, Alexandre Comte, Eloi Magnin, Djamila Bennabi, Thomas Tannou
Frontiers in Neuroscience.2023;[Epub] CrossRef
Trust-based health decision-making recruits the neural interoceptive saliency network which relates to temporal trajectories of Hemoglobin A1C in Diabetes Type 1
Helena Jorge, Isabel C. Duarte, Miguel Melo, Ana Paula Relvas, Miguel Castelo-Branco
Brain Imaging and Behavior.2023; 18(1): 171. CrossRef

Others
Development of Various Diabetes Prediction Models Using Machine Learning Techniques: Juyoung Shin, Jaewon Kim, Chanjung Lee, Joon Young Yoon, Seyeon Kim, Seungjae Song, Hun-Sung Kim; Diabetes Metab J. 2022;46(4):650-657. Published online March 11, 2022; DOI: https://doi.org/10.4093/dmj.2021.0115

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Background
There are many models for predicting diabetes mellitus (DM), but their clinical implication remains vague. Therefore, we aimed to create various DM prediction models using easily accessible health screening test parameters.
Methods
Two sets of variables were used to develop eight DM prediction models. One set comprised 62 easily accessible examination results of commonly used variables from a tertiary university hospital. The second set comprised 27 of the 62 variables included in the national routine health checkups. Gradient boosting and random forest algorithms were used to develop the models. Internal validation was performed using the stratified 10-fold cross-validation method.
Results
The area under the receiver operating characteristic curve (ROC-AUC) for the 62-variable DM model making 12-month predictions for subjects without diabetes was the largest (0.928) among those of the eight DM prediction models. The ROC-AUC dropped by more than 0.04 when training with the simplified 27-variable set but still showed fairly good performance with ROC-AUCs between 0.842 and 0.880. The accuracy was up to 11.5% higher (from 0.807 to 0.714) when fasting glucose was included.
Conclusion
We created easily applicable diabetes prediction models that deliver good performance using parameters commonly assessed during tertiary university hospital and national routine health checkups. We plan to perform prospective external validation, hoping that the developed DM prediction models will be widely used in clinical practice.

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Bing Bai, Xilin Liu, Hong Li
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Frontiers in Artificial Intelligence.2025;[Epub] CrossRef
The Impact of Balancing Techniques and Feature Selection on Machine Learning Models for Diabetes Detection
Vahid Sinap
Fırat Üniversitesi Mühendislik Bilimleri Dergisi.2025; 37(1): 303. CrossRef
Applications of Artificial Intelligence and Machine Learning in Prediabetes: A Scoping Review
Benjamin Lalani, Rohan Herur, Daniel Zade, Grace Collins, Devin M. Dishong, Setu Mehta, Jalene Shim, Yllka Valdez, Nestoras Mathioudakis
Journal of Diabetes Science and Technology.2025;[Epub] CrossRef
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Diabetes Epidemiology and Management.2024; 13: 100191. CrossRef
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Maryam Talebi Moghaddam, Yones Jahani, Zahra Arefzadeh, Azizallah Dehghan, Mohsen Khaleghi, Mehdi Sharafi, Ghasem Nikfar
BMC Medical Research Methodology.2024;[Epub] CrossRef
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Ying-Qiang Liu, Tzu-Wei Chang, Lung-Chun Lee, Chia-Yu Chen, Pi-Shan Hsu, Yu-Tse Tsan, Chao-Tung Yang, Wei-Min Chu
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Ji-Won Chun, Hun-Sung Kim
Journal of Korean Medical Science.2023;[Epub] CrossRef
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Nikita Jain, Bhaumik Patel, Manjesh Hanawal, Anurag R. Lila, Saba Memon, Tushar Bandgar, Ashutosh Kumar
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Retrospective cohort analysis comparing changes in blood glucose level and body composition according to changes in thyroid‐stimulating hormone level
Hyunah Kim, Da Young Jung, Seung‐Hwan Lee, Jae‐Hyoung Cho, Hyeon Woo Yim, Hun‐Sung Kim
Journal of Diabetes.2022; 14(9): 620. CrossRef
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Metabolic Risk/Epidemiology
Sex Differences in the Effects of CDKAL1 Variants on Glycemic Control in Diabetic Patients: Findings from the Korean Genome and Epidemiology Study: Hye Ah Lee, Hyesook Park, Young Sun Hong; Diabetes Metab J. 2022;46(6):879-889. Published online February 8, 2022; DOI: https://doi.org/10.4093/dmj.2021.0265

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Background
Using long-term data from the Korean Genome and Epidemiology Study, we defined poor glycemic control and investigated possible risk factors, including variants related to type 2 diabetes mellitus (T2DM). In addition, we evaluated interaction effects among risk factors for poor glycemic control.
Methods
Among 436 subjects with newly diagnosed diabetes, poor glycemic control was defined based on glycosylated hemoglobin trajectory patterns by group-based trajectory modeling. For the variants related to T2DM, genetic risk scores (GRSs) were calculated and divided into quartiles. Risk factors for poor glycemic control were assessed using a logistic regression model.
Results
Of the subjects, 43% were in the poor-glycemic-control group. Body mass index (BMI) and triglyceride (TG) were associated with poor glycemic control. The risk for poor glycemic control increased by 11.0% per 1 kg/m² increase in BMI and by 3.0% per 10 mg/dL increase in TG. The risk for GRS with poor glycemic control was sex-dependent (P_interaction=0.07), and a relationship by GRS quartiles was found in females but not in males. Moreover, the interaction effect was found to be significant on both additive and multiplicative scales. The interaction effect was evident in the variants of cyclin-dependent kinase 5 regulatory subunit-associated protein 1-like (CDKAL1).
Conclusion
Females with risk alleles of variants in CDKAL1 associated with T2DM had a higher risk for poor glycemic control than males.

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Sex‐ and age‐specific determinants of diabetes: Insights from BKMR and cox modelling of metabolic and lifestyle risk factors in a Korean cohort
Hye Ah Lee
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Dan Bi An, Soo-jin Ann, Seungmin Seok, Yura Kang, Sang-Hak Lee
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Review

Islet Studies and Transplantation
Regulation of Pancreatic β-Cell Mass by Gene-Environment Interaction: Shun-ichiro Asahara, Hiroyuki Inoue, Yoshiaki Kido; Diabetes Metab J. 2022;46(1):38-48. Published online January 27, 2022; DOI: https://doi.org/10.4093/dmj.2021.0045

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Graphical Abstract Abstract PDF PubReader ePub

The main pathogenic mechanism of diabetes consists of an increase in insulin resistance and a decrease in insulin secretion from pancreatic β-cells. The number of diabetic patients has been increasing dramatically worldwide, especially in Asian people whose capacity for insulin secretion is inherently lower than that of other ethnic populations. Causally, changes of environmental factors in addition to intrinsic genetic factors have been considered to have an influence on the increased prevalence of diabetes. Particular focus has been placed on “gene-environment interactions” in the development of a reduced pancreatic β-cell mass, as well as type 1 and type 2 diabetes mellitus. Changes in the intrauterine environment, such as intrauterine growth restriction, contribute to alterations of gene expression in pancreatic β-cells, ultimately resulting in the development of pancreatic β-cell failure and diabetes. As a molecular mechanism underlying the effect of the intrauterine environment, epigenetic modifications have been widely investigated. The association of diabetes susceptibility genes or dietary habits with gene-environment interactions has been reported. In this review, we provide an overview of the role of gene-environment interactions in pancreatic β-cell failure as revealed by previous reports and data from experiments.

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The ameliorating effects of mesenchymal stem cells compared to α‐tocopherol on apoptosis and autophagy in streptozotocin‐induced diabetic rats: Implication of PI3K/Akt signaling pathway and entero‐insular axis
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Original Articles

Metabolic Risk/Epidemiology
Reproductive Life Span and Severe Hypoglycemia Risk in Postmenopausal Women with Type 2 Diabetes Mellitus: Soyeon Kang, Yong-Moon Park, Dong Jin Kwon, Youn-Jee Chung, Jeong Namkung, Kyungdo Han, Seung-Hyun Ko; Diabetes Metab J. 2022;46(4):578-591. Published online January 24, 2022; DOI: https://doi.org/10.4093/dmj.2021.0135

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Background
Estrogen promotes glucose homeostasis, enhances insulin sensitivity, and maintains counterregulatory responses in recurrent hypoglycemia in women of reproductive age. Postmenopausal women with type 2 diabetes mellitus (T2DM) might be more vulnerable to severe hypoglycemia (SH) events. However, the relationship between reproductive factors and SH occurrence in T2DM remains unelucidated.
Methods
This study included data on 181,263 women with postmenopausal T2DM who participated in a national health screening program from January 1 to December 31, 2009, obtained using the Korean National Health Insurance System database. Outcome data were obtained until December 31, 2018. Associations between reproductive factors and SH incidence were assessed using Cox proportional hazards models.
Results
During the mean follow-up of 7.9 years, 11,279 (6.22%) postmenopausal women with T2DM experienced SH episodes. A longer reproductive life span (RLS) (≥40 years) was associated with a lower SH risk compared to a shorter RLS (<30 years) (adjusted hazard ratio [HR], 0.74; 95% confidence interval [CI], 0.69 to 0.80; P for trend <0.001) after multivariable adjustment. SH risk decreased with every 5-year increment of RLS (with <30 years as a reference [adjusted HR, 0.91; 95% CI, 0.86 to 0.95; P=0.0001 for 30−34 years], [adjusted HR, 0.80; 95% CI, 0.76 to 0.84; P<0.001 for 35−39 years], [adjusted HR, 0.74; 95% CI, 0.68 to 0.81; P<0.001 for ≥40 years]). The use of hormone replacement therapy (HRT) was associated with a lower SH risk than HRT nonuse.
Conclusion
Extended exposure to endogenous ovarian hormone during lifetime may decrease the number of SH events in women with T2DM after menopause.

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Cardiovascular Risk/Epidemiology
Performance of Diabetes and Kidney Disease Screening Scores in Contemporary United States and Korean Populations: Liela Meng, Keun-Sang Kwon, Dae Jung Kim, Yong-ho Lee, Jeehyoung Kim, Abhijit V. Kshirsagar, Heejung Bang; Diabetes Metab J. 2022;46(2):273-285. Published online September 9, 2021; DOI: https://doi.org/10.4093/dmj.2021.0054

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Background
Risk assessment tools have been actively studied, and they summarize key predictors with relative weights/importance for a disease. Currently, standardized screening scores for type 2 diabetes mellitus (DM) and chronic kidney disease (CKD)—two key global health problems—are available in United States and Korea. We aimed to compare and evaluate screening scores for DM (or combined with prediabetes) and CKD, and assess the risk in contemporary United States and Korean populations.
Methods
Four (2×2) models were evaluated in the United States-National Health and Nutrition Examination Survey (NHANES 2015–2018) and Korea-NHANES (2016–2018)—8,928 and 16,209 adults. Weighted statistics were used to describe population characteristics. We used logistic regression for predictors in the models to assess associations with study outcomes (undiagnosed DM and CKD) and diagnostic measures for temporal and cross-validation.
Results
Korean adult population (mean age 47.5 years) appeared to be healthier than United States counterpart, in terms of DM and CKD risks and associated factors, with exceptions of undiagnosed DM, prediabetes and prehypertension. Models performed well in own country and external populations regarding predictor-outcome association and discrimination. Risk tests (high vs. low) showed area under the curve >0.75, sensitivity >84%, specificity >45%, positive predictive value >8%, and negative predictive value >99%. Discrimination was better for DM, compared to the combined outcome of DM and prediabetes, and excellent for CKD due to age.
Conclusion
Four easy-to-use screening scores for DM and CKD are well-validated in contemporary United States and Korean populations. Prevention of DM and CKD may serve as first-step in public health, with these self-assessment tools as basic tools to help health education and disparity.

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Short Communication

Type 1 Diabetes
Real-World Analysis of Therapeutic Outcome in Type 1 Diabetes Mellitus at a Tertiary Care Center: Antonia Kietaibl, Michaela Riedl, Latife Bozkurt; Diabetes Metab J. 2022;46(1):149-153. Published online July 6, 2021; DOI: https://doi.org/10.4093/dmj.2020.0267

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Insulin replacement in type 1 diabetes mellitus (T1DM) needs intensified treatment, which can either be performed by multiple daily injections (MDI) or continuous subcutaneous insulin infusion (CSII). This retrospective analysis of a real-world scenario aimed to evaluate whether glycaemic and cardiovascular risk factors could be controlled with CSII outclass MDI as suggested by recent evidence. Data from patients with either insulin pump (n=68) or injection (n=224) therapy at an Austrian tertiary care centre were analysed between January 2016 and December 2017. There were no significant differences with regard to the latest glycosylated hemoglobin, cardiovascular risk factor control or diabetes-associated late complications. Hypoglycaemia was less frequent (P<0.001), sensor-augmented therapy was more common (P=0.003) and mean body mass index (BMI) was higher (P=0.002) with CSII treatment. This retrospective analysis of real-world data in T1DM did not demonstrate the superiority of insulin pump treatment with regard to glycaemic control or cardiovascular risk factor control.

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Islet Tissue Macrophages in Immunity Homeostasis and Type 1 Diabetes
Yan Wang, Zhaoran Wang, Wenya Diao, Tong Shi, Jiahe Xu, Tiantian Deng, Chaoying Wen, Jienan Gu, Tingting Deng, Sixuan Wang, Cheng Xiao
Clinical Reviews in Allergy & Immunology.2025;[Epub] CrossRef

Review

Cardiovascular Risk/Epidemiology
Epidemiology, Pathophysiology, Diagnosis and Treatment of Heart Failure in Diabetes: Jin Joo Park; Diabetes Metab J. 2021;45(2):146-157. Published online March 25, 2021; DOI: https://doi.org/10.4093/dmj.2020.0282; Correction in: Diabetes Metab J 2021;45(5):796

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The cardiovascular disease continuum begins with risk factors such as diabetes mellitus (DM), progresses to vasculopathy and myocardial dysfunction, and finally ends with cardiovascular death. Diabetes is associated with a 2- to 4-fold increased risk for heart failure (HF). Moreover, HF patients with DM have a worse prognosis than those without DM. Diabetes can cause myocardial ischemia via micro- and macrovasculopathy and can directly exert deleterious effects on the myocardium. Hyperglycemia, hyperinsulinemia, and insulin resistance can cause alterations in vascular homeostasis. Then, reduced nitric oxide and increased reactive oxygen species levels favor inflammation leading to atherothrombotic progression and myocardial dysfunction. The classification, diagnosis, and treatment of HF for a patient with and without DM remain the same. Until now, drugs targeting neurohumoral and metabolic pathways improved mortality and morbidity in HF with reduced ejection fraction (HFrEF). Therefore, all HFrEF patients should receive guideline-directed medical therapy. By contrast, drugs modulating neurohumoral activity did not improve survival in HF with preserved ejection fraction (HFpEF) patients. Trials investigating whether sodium-glucose cotransporter-2 inhibitors are effective in HFpEF are on-going. This review will summarize the epidemiology, pathophysiology, and treatment of HF in diabetes.

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The FASEB Journal.2025;[Epub] CrossRef
Redefiniendo la atención primaria: recomendaciones de CARABELA-AP para el manejo de enfermedades crónicas prevalentes
J. Polo, P. Rodríguez, I. Mediavilla, A. Pérez, L. Regadera, E. Fitas, C. Moreno, A. Prado, A. Izarra, R.M. Micó-Pérez
Medicina de Familia. SEMERGEN.2025; 51(8): 102586. CrossRef
Chinese visceral adiposity index predicts all-cause mortality in patients with type 2 diabetes, heart failure, and chronic kidney disease: a retrospective cohort study
Xiang Zhao, Dan Zhang, Bing Zhu, Yuanhao Yao, Lingxiao Geng, Xiang Ma, Zhenyan Fu, Yitong Ma
BMC Research Notes.2025;[Epub] CrossRef
HFpEF as the predominant and underrecognized heart failure phenotype in type 2 diabetes: evidence from the DIABET-IC study
P. Gil-Millan, JA. Gimeno-Orna, L. Rodriguez-Padial, J. Muniz, V. Barrios, M. Anguita, A. Perez
Cardiovascular Diabetology.2025;[Epub] CrossRef
Coronary heart disease and type 2 diabetes metabolomic signatures in the Middle East
Mohamed Elshrif, Keivin Isufaj, Ayman El-Menyar, Ehsan Ullah, Alka Beotra, Mohammed Al-Maadheed, Vidya Mohamed-Ali, Mohamad Saad, Jassim Al Suwaidi
Frontiers in Endocrinology.2025;[Epub] CrossRef
Screening Natriuretic Peptide Levels Predicts Heart Failure and Death in Individuals With Type 1 and Type 2 Diabetes Without Known Heart Failure
Rodica Pop-Busui, Enrico Repetto, Jason Baron, Dagmar Schumacher, Muthiah Vaduganathan, Ambarish Pandey
Diabetes Care.2025; 48(12): 2145. CrossRef
α-Linolenic Acid Alleviates Diabetic Cardiomyopathy by Activating AMPK-STAT3 Pathway to Inhibit Ferritinophagy and Enhance SLC7A11-GPX4 Antioxidant Axis
Ziqian Zhang, Xue Bai, Qian Du, Jianhong Yang
Molecules.2025; 31(1): 79. CrossRef
Efficacy of Platelet-Rich Plasma in the Treatment of Diabetic Foot Ulcers: A Systematic Review and Meta-Analysis
Yundong Peng, JiePing Wang, Xinyao Liu, Yanqing Zhou, Shaohui Jia, Jinrong Xu, Cheng Zheng
Annals of Vascular Surgery.2024; 98: 365. CrossRef
Diabetic Cardiomyopathy: 2023 Update by the International Multidisciplinary Board of Experts
Ashot Avagimyan, Federica Fogacci, Nana Pogosova, Lev Kakrurskiy, Eugenia Kogan, Olga Urazova, Zhanna Kobalava, Liudmila Mikhaleva, Rositsa Vandysheva, Gioeva Zarina, Artem Trofimenko, Grizelda Navasardyan, Lusine Mkrtchyan, Mattia Galli, Zinaida Jndoyan,
Current Problems in Cardiology.2024; 49(1): 102052. CrossRef
Emerging Biomarkers in the Laboratory and in Practice: A Novel Approach to Diagnosing Heart Failure in Diabetes
Rachel E. Aaron, Tiffany Tian, G. Alexander Fleming, David B. Sacks, James L. Januzzi, MD FACC, Rodica Pop-Busui, Ibrahim A. Hashim, Alan H. B. Wu, Ambarish Pandey, David C. Klonoff
Journal of Diabetes Science and Technology.2024; 18(3): 733. CrossRef
Research Progress on the Relationship between HbA_1c and Diabetes Complicated with Chronic Heart Failure
·依沙迪达尔
Advances in Clinical Medicine.2024; 14(01): 1117. CrossRef
Association Between Use of Sodium-Glucose Cotransporter-2 Inhibitors or Angiotensin Receptor-Neprilysin Inhibitor and the Risk of Atherosclerotic Cardiovascular Disease With Coexisting Diabetes and Heart Failure
Ya-Wen Lin, Chun-Hsiang Lin, Cheng-Li Lin, Che-Huei Lin, Ming-Hung Lin
Journal of Cardiovascular Pharmacology and Therapeutics.2024;[Epub] CrossRef
The Role of Epicardial Adipose Tissue in Acute Coronary Syndromes, Post-Infarct Remodeling and Cardiac Regeneration
Kamil Krauz, Marcel Kempiński, Paweł Jańczak, Karol Momot, Maciej Zarębiński, Izabela Poprawa, Małgorzata Wojciechowska
International Journal of Molecular Sciences.2024; 25(7): 3583. CrossRef
Molecular mechanisms of metabolic dysregulation in diabetic cardiomyopathy
Yue Zeng, Yilang Li, Wenyue Jiang, Ning Hou
Frontiers in Cardiovascular Medicine.2024;[Epub] CrossRef
Association between nonalcoholic fatty liver disease and left ventricular diastolic dysfunction: A 7-year retrospective cohort study of 3,380 adults using serial echocardiography
Gyuri Kim, Tae Yang Yu, Jae Hwan Jee, Ji Cheol Bae, Mira Kang, Jae Hyeon Kim
Diabetes & Metabolism.2024; 50(3): 101534. CrossRef
SGLT2 Inhibitors in the Cardiovascular Disease
Jin Joo Park
The Journal of Korean Diabetes.2024; 25(1): 26. CrossRef
Metabolic Alteration Bridging the Prediabetic State and Colorectal Cancer
Antonino Colloca, Isabella Donisi, Camilla Anastasio, Maria Luisa Balestrieri, Nunzia D’Onofrio
Cells.2024; 13(8): 663. CrossRef
Inflammation in diabetes complications: molecular mechanisms and therapeutic interventions
Lu Zhao, Haoran Hu, Lin Zhang, Zheting Liu, Yunchao Huang, Qian Liu, Liang Jin, Meifei Zhu, Ling Zhang
MedComm.2024;[Epub] CrossRef
Methods to predict heart failure in diabetes patients
Alexander E. Berezin, Tetiana A Berezina, Uta C. Hoppe, Michael Lichtenauer, Alexander A. Berezin
Expert Review of Endocrinology & Metabolism.2024; 19(3): 241. CrossRef
Research advances on molecular mechanism and natural product therapy of iron metabolism in heart failure
Tianqing Zhang, Li Luo, Qi He, Sijie Xiao, Yuwei Li, Junpeng Chen, Tao Qin, Zhenni Xiao, Qingliang Ge
European Journal of Medical Research.2024;[Epub] CrossRef
The latest emerging drugs for the treatment of diabetic cardiomyopathy
Minghao Li, Lin Liu, Chunyu Zhang, Li Deng, Yi Zhong, Bin Liao, Xiuying Li, Ying Wan, Jian Feng
Expert Opinion on Pharmacotherapy.2024; 25(6): 641. CrossRef
Prevalencia de insuficiencia cardiaca diagnosticada en pacientes diabéticos en el ámbito de la atención primaria. ¿Debemos mejorar el cribado?
Manuel Sánchez Molla, Juan Manuel Zazo Menargues, Inmaculada Candela Garcia
Atención Primaria.2024; 56(7): 102952. CrossRef
Targeting autophagy in diabetic cardiomyopathy: From molecular mechanisms to pharmacotherapy
Jie Li, Yingying Xie, Shuwen Zheng, Haoming He, Zhe Wang, Xuexi Li, Siqi Jiao, Dong Liu, Furong Yang, Hailing Zhao, Ping Li, Yihong Sun
Biomedicine & Pharmacotherapy.2024; 175: 116790. CrossRef
Interleukin 1β receptor blocker (Anakinra) and regenerative stem cell therapy: two novel approaches effectively ameliorating diabetic cardiomyopathy
Lamiaa Mohamed Mahmoud, Aya Aly Ashraf Abdel Mageed, Jackline Moawad Saadallah, Mira Farouk Youssef, Liala Ahmed Rashed, Hania Ibrahim Ammar
Naunyn-Schmiedeberg's Archives of Pharmacology.2024; 397(10): 8023. CrossRef
Heart failure phenotypes and clinical and laboratory features of patients with type 2 diabetes in inpatient endocrinology and cardiology practice
T. Yu. Demidova, M. Ya. Izmaylova
Meditsinskiy sovet = Medical Council.2024; (6): 81. CrossRef
Potential molecular and cellular mechanisms of the effects of cuproptosis-related genes in the cardiomyocytes of patients with diabetic heart failure: a bioinformatics analysis
Jinhao Chen, Xu Yang, Weiwen Li, Ying Lin, Run Lin, Xianzhen Cai, Baoxin Yan, Bin Xie, Jilin Li
Frontiers in Endocrinology.2024;[Epub] CrossRef
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Shashipriya Agress, Jannat S. Sheikh, Aida A. Perez Ramos, Durlav Kashyap, Soha Razmjouei, Joy Kumar, Mankaranvir Singh, Muhammad Ali Lak, Ali Osman, Muhammad Zia ul Haq
Current Cardiology Reviews.2024;[Epub] CrossRef
Prescripción de antihipertensivos en personas con diabetes tipo 2 en Andalucía y recomendaciones SEH-LELHA 2022: evaluación del coste y uso
D. Martín-Enguix, J.C. Aguirre Rodríguez, M. Guisasola Cárdenas, M.N. Generoso Torres, A. Hidalgo Rodríguez, M. Sánchez Cambronero, A. González Bravo
Hipertensión y Riesgo Vascular.2024; 41(4): 226. CrossRef
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Matteo Landolfo, Francesco Spannella, Federico Giulietti, Beatrice Ortensi, Lucia Stella, Maria A. Carlucci, Roberta Galeazzi, Federica Turchi, Maria P. Luconi, Roberto Zampa, Sofia Cecchi, Elena Tortato, Massimiliano Petrelli, Riccardo Sarzani
Cardiovascular Diabetology.2024;[Epub] CrossRef
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Xiao-fei Geng, Wen-yu Shang, Zhong-wen Qi, Chi Zhang, Wen-xiu Li, Zhi-peng Yan, Xin-biao Fan, Jun-ping Zhang
Journal of Diabetes and its Complications.2024; 38(10): 108848. CrossRef
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Jin Yoo, Jinsu Hwang, Jiyun Choi, Mahesh Ramalingam, Haewon Jeong, Sujeong Jang, Han-Seong Jeong, Daeyeol Kim
Heliyon.2024; 10(17): e37081. CrossRef
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Mahtab Tabesh, Julian W. Sacre, Kanika Mehta, Lei Chen, Seyeddeh Forough Sajjadi, Dianna J. Magliano, Jonathan E. Shaw
Diabetes, Obesity and Metabolism.2024; 26(12): 5690. CrossRef
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Tutu Wang, Miaomiao Ning, Yurou Mo, Xinyu Tian, Yu Fu, Ismail Laher, Shunchang Li
Antioxidants.2024; 13(10): 1167. CrossRef
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Jiali Yin, Xinjun Xu, Ying Guo, Caiyu Sun, Yujuan Yang, Huifang Liu, Pengyi Yu, Tong Wu, Xicheng Song
Cell Death Discovery.2024;[Epub] CrossRef
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Leigh Anne DeNotto, Misook L. Chung, Kaitlin Voigts Key, Gia Mudd-Martin
The Science of Diabetes Self-Management and Care.2024; 50(6): 520. CrossRef
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Yuan Gao, Zhuxin Zhang, Mengxing Cai, Zhongli Chen, Sijin Wu, Jiandu Yang, Xiaogang Guo, Ruohan Chen, Yan Dai, Shu Zhang, Xiaoyao Li, Qi Sun, Keping Chen
Cardiovascular Diabetology.2024;[Epub] CrossRef
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Cardiovascular Prevention and Pharmacotherapy.2024; 6(4): 103. CrossRef
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You Zhou, Yingli Xie, Jingjing Dong, Kunlun He, Hebin Che
Diabetes, Metabolic Syndrome and Obesity.2024; Volume 17: 4177. CrossRef
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Li Xiang, Xiang Liu, Xuehua Jiao, Zhenguo Qiao
BMC Cardiovascular Disorders.2024;[Epub] CrossRef
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Francisco Epelde
Medicina.2024; 60(12): 1986. CrossRef
Peripheral arterial atherosclerosis and heart failure: state of the art review
V. V. Genkel, O. V. Latysheva, S. V. Ershov, E. V. Lebedev, A. S. Kuznetsova, A. O. Salashenko, I. I. Shaposhnik
South Russian Journal of Therapeutic Practice.2024; 5(4): 15. CrossRef
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Nawfal Hasan Siam, Nayla Nuren Snigdha, Noushin Tabasumma, Irin Parvin
Reviews in Cardiovascular Medicine.2024;[Epub] CrossRef
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Wei Song
American Journal of Translational Research.2024; 16(12): 7803. CrossRef
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Andrew Xanthopoulos, Nikolaos Katsiadas, Spyridon Skoularigkis, Dimitrios E. Magouliotis, Niki Skopeliti, Sotirios Patsilinakos, Alexandros Briasoulis, Filippos Triposkiadis, John Skoularigis
Life.2023; 13(8): 1778. CrossRef
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Journal of Cardiovascular Translational Research.2023; 16(2): 327. CrossRef
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Current Problems in Cardiology.2023; 48(1): 101428. CrossRef
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International Journal of Cardiology.2023; 377: 91. CrossRef
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Yi Zhang, Chao Liu, Yijing Xu, Yanlei Wang, Fang Dai, Honglin Hu, Tian Jiang, Yunxia Lu, Qiu Zhang
Frontiers in Endocrinology.2023;[Epub] CrossRef
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International Journal of Heart Failure.2023; 5(1): 1. CrossRef
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Diabetes & Metabolism Journal.2023; 47(1): 10. CrossRef
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Cardiogenetics.2023; 13(1): 15. CrossRef
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Mingyu Hao, Xiaohong Huang, Xueting Liu, Xiaokang Fang, Haiyan Li, Lingbo Lv, Liming Zhou, Tiecheng Guo, Dewen Yan
Annals of Medicine.2023; 55(1): 766. CrossRef
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Original Article

COVID-19
Effects of a DPP-4 Inhibitor and RAS Blockade on Clinical Outcomes of Patients with Diabetes and COVID-19: Sang Youl Rhee, Jeongwoo Lee, Hyewon Nam, Dae-Sung Kyoung, Dong Wook Shin, Dae Jung Kim; Diabetes Metab J. 2021;45(2):251-259. Published online March 5, 2021; DOI: https://doi.org/10.4093/dmj.2020.0206

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Background
Dipeptidyl peptidase-4 inhibitor (DPP-4i) and renin-angiotensin system (RAS) blockade are reported to affect the clinical course of coronavirus disease 2019 (COVID-19) in patients with diabetes mellitus (DM).
Methods
As of May 2020, analysis was conducted on all subjects who could confirm their history of claims related to COVID-19 in the National Health Insurance Review and Assessment Service (HIRA) database in Korea. Using this dataset, we compared the short-term prognosis of COVID-19 infection according to the use of DPP-4i and RAS blockade. Additionally, we validated the results using the National Health Insurance Service (NHIS) of Korea dataset.
Results
Totally, data of 67,850 subjects were accessible in the HIRA dataset. Of these, 5,080 were confirmed COVID-19. Among these, 832 subjects with DM were selected for analysis in this study. Among the subjects, 263 (31.6%) and 327 (39.3%) were DPP4i and RAS blockade users, respectively. Thirty-four subjects (4.09%) received intensive care or died. The adjusted odds ratio for severe treatment among DPP-4i users was 0.362 (95% confidence interval [CI], 0.135 to 0.971), and that for RAS blockade users was 0.599 (95% CI, 0.251 to 1.431). These findings were consistent with the analysis based on the NHIS data using 704 final subjects. The adjusted odds ratio for severe treatment among DPP-4i users was 0.303 (95% CI, 0.135 to 0.682), and that for RAS blockade users was 0.811 (95% CI, 0.391 to 1.682).
Conclusion
This study suggests that DPP-4i is significantly associated with a better clinical outcome of patients with COVID-19.

Citations

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Snehasish Nag, Samanwita Mandal, Oindrila Mukherjee, Suprabhat Mukherjee, Rakesh Kundu
Future Virology.2023; 18(5): 321. CrossRef
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Sabrina Schlesinger, Alexander Lang, Nikoletta Christodoulou, Philipp Linnerz, Kalliopi Pafili, Oliver Kuss, Christian Herder, Manuela Neuenschwander, Janett Barbaresko, Michael Roden
Diabetologia.2023; 66(8): 1395. CrossRef
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Raquel Leão Neves, Jéssica Branquinho, Júlia Galanakis Arata, Clarissa Azevedo Bittencourt, Caio Perez Gomes, Michelle Riguetti, Gustavo Ferreira da Mata, Danilo Euclides Fernandes, Marcelo Yudi Icimoto, Gianna Mastroianni Kirsztajn, João Bosco Pesquero
Inflammation Research.2023; 72(8): 1719. CrossRef
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Tiantian Han, Shaodi Ma, Chenyu Sun, Huimei Zhang, Guangbo Qu, Yue Chen, Ce Cheng, Eric L. Chen, Mubashir Ayaz Ahmed, Keun Young Kim, Raveena Manem, Mengshi Chen, Zhichun Guo, Hongru Yang, Yue Yan, Qin Zhou
Archives of Medical Research.2022; 53(2): 186. CrossRef
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Carlos K.H. Wong, David T.W. Lui, Angel Y.C. Lui, Ashley C.Y. Kwok, Marshall C.H. Low, Kristy T.K. Lau, Ivan C.H. Au, Xi Xiong, Matthew S.H. Chung, Eric H.Y. Lau, Benjamin J. Cowling
Diabetes & Metabolism.2022; 48(1): 101307. CrossRef
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Ahmad Fariz Malvi Zamzam Zein, Wilson Matthew Raffaello
Primary Care Diabetes.2022; 16(1): 162. CrossRef
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Romil Singh, Sawai Singh Rathore, Hira Khan, Abhishek Bhurwal, Mack Sheraton, Prithwish Ghosh, Sohini Anand, Janaki Makadia, Fnu Ayesha, Kiran S. Mahapure, Ishita Mehra, Aysun Tekin, Rahul Kashyap, Vikas Bansal
Frontiers in Medicine.2022;[Epub] CrossRef
Short- and long-term prognosis of glycemic control in COVID-19 patients with type 2 diabetes
K Zhan, X Zhang, B Wang, Z Jiang, X Fang, S Yang, H Jia, L Li, G Cao, K Zhang, X Ma
QJM: An International Journal of Medicine.2022; 115(3): 131. CrossRef
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Ákos Nádasdi, György Sinkovits, Ilona Bobek, Botond Lakatos, Zsolt Förhécz, Zita Z Prohászka, Marienn Réti, Miklós Arató, Gellért Cseh, Tamás Masszi, Béla Merkely, Péter Ferdinandy, István Vályi-Nagy, Zoltán Prohászka, Gábor Firneisz
Biomarkers in Medicine.2022; 16(5): 317. CrossRef
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Charlotte Steenblock, Carlotta Hoffmann, Tilman D. Rachner, Florian Guggenbichler, Ermal Tahirukaj, Sacipi Bejtullah, Vsevolod A. Zinserling, Zsuzanna Varga, Stefan R. Bornstein, Nikolaos Perakakis
Diabetes aktuell.2022; 20(01): 43. CrossRef
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Tae Jung Oh
Journal of Obesity & Metabolic Syndrome.2022; 31(1): 86. CrossRef
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Ah Reum Khang
The Journal of Korean Diabetes.2022; 23(1): 1. CrossRef
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Yidan Chen, Xingfei Lv, Sang Lin, Mohammad Arshad, Mengjun Dai
Frontiers in Endocrinology.2022;[Epub] CrossRef
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Verena Schöning, Felix Hammann
Pharmaceutics.2022; 14(9): 1828. CrossRef
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Alba Sebastián-Martín, Belén G. Sánchez, José M. Mora-Rodríguez, Alicia Bort, Inés Díaz-Laviada
Biomedicines.2022; 10(8): 2026. CrossRef
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Aliah Alshanwani, Tarek Kashour, Amira Badr
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Niya Narayanan, Dukhabandhu Naik, Jayaprakash Sahoo, Sadishkumar Kamalanathan
World Journal of Virology.2022; 11(6): 399. CrossRef
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European Geriatric Medicine.2021; 12(4): 725. CrossRef
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Acta Diabetologica.2021; 58(11): 1441. CrossRef
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Heliyon.2021; 7(8): e07665. CrossRef
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Diabetes & Metabolism Journal.2021; 45(4): 619. CrossRef
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Diabetes & Metabolism Journal.2021; 45(4): 615. CrossRef
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Charlotte Steenblock, Peter E H Schwarz, Barbara Ludwig, Andreas Linkermann, Paul Zimmet, Konstantin Kulebyakin, Vsevolod A Tkachuk, Alexander G Markov, Hendrik Lehnert, Martin Hrabě de Angelis, Hannes Rietzsch, Roman N Rodionov, Kamlesh Khunti, David Hop
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International Journal of Environmental Research and Public Health.2021; 18(20): 10950. CrossRef
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Review

Drug/Regimen
Evaluating the Evidence behind the Novel Strategy of Early Combination from Vision to Implementation: Päivi Maria Paldánius; Diabetes Metab J. 2020;44(6):785-801. Published online September 15, 2020; DOI: https://doi.org/10.4093/dmj.2020.0179

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Type 2 diabetes mellitus (T2DM) is a complex and progressive chronic disease characterised by elevating hyperglycaemia and associated need to gradually intensify therapy in order to achieve and maintain glycaemic control. Treating hyperglycaemia with sequential therapy is proposed to allow holistic assessment of the efficacy and risk-to-benefit ratio of each added component. However, there is an array of evidence supporting the scientific rationale for using synergistic, earlier, modern drug combinations to achieve glycaemic goals, delay the deterioration of glycaemic control, and, therefore, potentially preserve or slow down the declining β-cell function. Additionally, implementation of early combination(s) may lead to opportunities to combat clinical inertia and other hurdles to optimised disease management outcomes. This review aims to discuss the latest empirical evidence for long-term clinical benefits of this novel strategy of early combination in people with newly diagnosed T2DM versus the current widely-implemented treatment paradigm, which focuses on control of hyperglycaemia using lifestyle interventions followed by sequentially intensified (mostly metformin-based) monotherapy. The recent reported Vildagliptin Efficacy in combination with metfoRmin For earlY treatment of T2DM (VERIFY) study results have provided significant new evidence confirming long-term glycaemic durability and tolerability of a specific early combination in the management of newly diagnosed, treatment-naïve patients worldwide. These results have also contributed to changes in clinical treatment guidelines and standards of care while clinical implementation and individualised treatment decisions based on VERIFY results might face barriers beyond the existing scientific evidence.

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A retrospective cohort study of a community-based primary care program’s effects on pharmacotherapy quality in low-income Peruvians with type 2 diabetes and hypertension
John E. Deaver, Gabriela M. Uchuya, Wayne R. Cohen, Janet A. Foote, Harry H. X. Wang
PLOS Global Public Health.2024; 4(8): e0003512. CrossRef

Original Articles

Basic Research
Vimentin Deficiency Prevents High-Fat Diet-Induced Obesity and Insulin Resistance in Mice: SeoYeon Kim, Inyeong Kim, Wonkyoung Cho, Goo Taeg Oh, Young Mi Park; Diabetes Metab J. 2021;45(1):97-108. Published online June 15, 2020; DOI: https://doi.org/10.4093/dmj.2019.0198

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Background

Obesity and type 2 diabetes mellitus are world-wide health problems, and lack of understanding of their linking mechanism is one reason for limited treatment options. We determined if genetic deletion of vimentin, a type 3 intermediate filament, affects obesity and type 2 diabetes mellitus.

Methods

We fed vimentin-null (Vim^−/−) mice and wild-type mice a high-fat diet (HFD) for 10 weeks and measured weight change, adiposity, blood lipids, and glucose. We performed intraperitoneal glucose tolerance tests and measured CD36, a major fatty acid translocase, and glucose transporter type 4 (GLUT4) in adipocytes from both groups of mice.

Results

Vim^−/− mice fed an HFD showed less weight gain, less adiposity, improved glucose tolerance, and lower serum level of fasting glucose. However, serum triglyceride and non-esterified fatty acid levels were higher in Vim^−/− mice than in wild-type mice. Vimentin-null adipocytes showed 41.1% less CD36 on plasma membranes, 27% less uptake of fatty acids, and 50.3% less GLUT4, suggesting defects in intracellular trafficking of these molecules.

Conclusion

We concluded that vimentin deficiency prevents obesity and insulin resistance in mice fed an HFD and suggest vimentin as a central mediator linking obesity and type 2 diabetes mellitus.

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Qiumei Huang, Yanhong Wei, Zhenhui Fu, Rutong Wang, Runtang Zhou, Xiaocan Lei, Jianghua Le, Linlin Hu
The Journal of Nutritional Biochemistry.2026; 147: 110066. CrossRef
Tissue-resident macrophage survival depends on mitochondrial function regulated by SerpinB2 in chronic inflammation
Sathish Babu Vasamsetti, Samreen Sadaf, Mohammad A. Uddin, Jixing Shen, Ebin Johny, Awishi Mondal, Jonathan Florentin, Liqun Lei, Aleef Mannan, Krithika Sudhakar Rao, John Sembrat, Mauricio Rojas, Ian Sipula, Jake Kastroll, Michael J. Jurczak, Sruti Shiva
Nature Communications.2026;[Epub] CrossRef
Modulating Vimentin: A Systems-Level Therapeutic Strategy for Sepsis and Complex Diseases
Ruihuan Chen, Jianping Wu, Daniel Jafari, Annica K. B. Gad
Life.2026; 16(3): 457. CrossRef
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International Journal of Biological Macromolecules.2026; 368: 152623. CrossRef
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Frontiers in Cell and Developmental Biology.2026;[Epub] CrossRef
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Juan Wang, Huiling Guo, Lang-Fan Zheng, Peng Li, Tong-Jin Zhao
Trends in Endocrinology & Metabolism.2025; 36(6): 577. CrossRef
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Annual Review of Physiology .2025; 87(1): 301. CrossRef
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Changchun Hei, Xiaowen Li, Ruochen Wang, Jiahui Peng, Ping Liu, Xialan Dong, P. Andy Li, Weifan Zheng, Jianguo Niu, Xiao Yang
Scientific Reports.2025;[Epub] CrossRef
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Katarzyna Pietraszek‐Gremplewicz, Joanna Olszańska, Mikołaj Domagalski, Aleksandra Simiczyjew, Magdalena Kot, Aneta Skoniecka, Agata Tymińska, Michał Pikuła, Dorota Nowak
Journal of Cellular and Molecular Medicine.2025;[Epub] CrossRef
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Ya-Yun Cheng, Beth L. Worley, Zaineb Javed, Amal T. Elhaw, Priscilla W. Tang, Sarah Al-Saad, Shriya Kamlapurkar, Sierra R. White, Apoorva Uboveja, Karthikeyan Mythreye, Katherine M. Aird, Traci A. Czyzyk, Nadine Hempel
Cancer Research Communications.2025; 5(7): 1180. CrossRef
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Diabetes & Metabolism Journal.2024; 48(2): 215. CrossRef
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International Immunopharmacology.2024; 132: 111950. CrossRef
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Alba Rodriguez-Muñoz, Hanieh Motahari-Rad, Laura Martin-Chaves, Javier Benitez-Porres, Jorge Rodriguez-Capitan, Andrés Gonzalez-Jimenez, Maria Insenser, Francisco J. Tinahones, Mora Murri
Current Obesity Reports.2024; 13(3): 403. CrossRef
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Emily L. Rudolph, LiKang Chin
Current Issues in Molecular Biology.2024; 46(7): 7134. CrossRef
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Tamara Camino, Nerea Lago-Baameiro, María Pardo
Biomedicines.2023; 11(2): 422. CrossRef
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Prashanth Ganekal, Basavaraj Vastrad, Satish Kavatagimath, Chanabasayya Vastrad, Shivakumar Kotrashetti
Medicina.2023; 59(2): 309. CrossRef
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Irina Tikhonova, Alsu Dyukina, Elvira Shaykhutdinova, Valentina Safronova
Membranes.2023; 13(3): 306. CrossRef
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Joanna Goralska, Urszula Razny, Anna Gruca, Anna Zdzienicka, Agnieszka Micek, Aldona Dembinska-Kiec, Bogdan Solnica, Malgorzata Malczewska-Malec
Biomolecules.2023; 13(4): 675. CrossRef
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Lanlan Du, Han Lü, Yan Chen, Xiaohua Yu, Tunyu Jian, Huifang Zhao, Wenlong Wu, Xiaoqin Ding, Jian Chen, Weilin Li
Journal of Agricultural and Food Chemistry.2023; 71(40): 14649. CrossRef
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Sara KM Jörgensen, Alena Karnošová, Simone Mazzaferro, Oliver Rowley, Hsiao-Jou Cortina Chen, Sarah J Robbins, Sarah Christofides, Florian T Merkle, Lenka Maletínská, David Petrik
EMBO Reports.2023; 25(1): 351. CrossRef
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João Pessoa, José Teixeira
Metabolism.2022; 128: 155115. CrossRef
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Marta Wolosowicz, Slawomir Prokopiuk, Tomasz W. Kaminski
Medicina.2022; 58(4): 472. CrossRef
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Karen M. Ridge, John E. Eriksson, Milos Pekny, Robert D. Goldman
Genes & Development.2022; 36(7-8): 391. CrossRef
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Frontiers in Cardiovascular Medicine.2022;[Epub] CrossRef
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Frontiers in Veterinary Science.2022;[Epub] CrossRef
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International Journal of Molecular Sciences.2022; 23(18): 10826. CrossRef
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Journal of Food Biochemistry.2022;[Epub] CrossRef
Influence of Protein Carbonylation on Human Adipose Tissue Dysfunction in Obesity and Insulin Resistance
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Biomedicines.2022; 10(12): 3032. CrossRef
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Diabetes & Metabolism Journal.2021; 45(1): 43. CrossRef

Basic Research
MondoA Is Required for Normal Myogenesis and Regulation of the Skeletal Muscle Glycogen Content in Mice: Hui Ran, Yao Lu, Qi Zhang, Qiuyue Hu, Junmei Zhao, Kai Wang, Xuemei Tong, Qing Su; Diabetes Metab J. 2021;45(3):439-451. Published online May 18, 2020; DOI: https://doi.org/10.4093/dmj.2019.0212; Correction in: Diabetes Metab J 2021;45(5):797 Correction in: Diabetes Metab J 2025;49(2):331

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Background

Skeletal muscle is the largest tissue in the human body, and it plays a major role in exerting force and maintaining metabolism homeostasis. The role of muscle transcription factors in the regulation of metabolism is not fully understood. MondoA is a glucose-sensing transcription factor that is highly expressed in skeletal muscle. Previous studies suggest that MondoA can influence systemic metabolism homeostasis. However, the function of MondoA in the skeletal muscle remains unclear.

Methods

We generated muscle-specific MondoA knockout (MAKO) mice and analyzed the skeletal muscle morphology and glycogen content. Along with skeletal muscle from MAKO mice, C2C12 myocytes transfected with small interfering RNA against MondoA were also used to investigate the role and potential mechanism of MondoA in the development and glycogen metabolism of skeletal muscle.

Results

MAKO caused muscle fiber atrophy, reduced the proportion of type II fibers compared to type I fibers, and increased the muscle glycogen level. MondoA knockdown inhibited myoblast proliferation, migration, and differentiation by inhibiting the phosphatase and tensin homolog (PTEN)/phosphoinositide 3-kinase (PI3K)/Akt pathway. Further mechanistic experiments revealed that the increased muscle glycogen in MAKO mice was caused by thioredoxin-interacting protein (TXNIP) downregulation, which led to upregulation of glucose transporter 4 (GLUT4), potentially increasing glucose uptake.

Conclusion

MondoA appears to mediate mouse myofiber development, and MondoA decreases the muscle glycogen level. The findings indicate the potential function of MondoA in skeletal muscle, linking the glucose-related transcription factor to myogenesis and skeletal myofiber glycogen metabolism.

Citations

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Mondo family proteins in diabetes
Sandeep Kumar Barodia, Maria B. Grant, Marina S. Gorbatyuk
Frontiers in Endocrinology.2026;[Epub] CrossRef
The Function of MondoA and ChREBP Nutrient—Sensing Factors in Metabolic Disease
Byungyong Ahn
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The Role of Mondo Family Transcription Factors in Nutrient-Sensing and Obesity
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Others
Can Habitual Exercise Help Reduce Serum Concentrations of Lipophilic Chemical Mixtures? Association between Physical Activity and Persistent Organic Pollutants: Yu-Mi Lee, Ji-Yeon Shin, Se-A Kim, David R. Jacobs, Duk-Hee Lee; Diabetes Metab J. 2020;44(5):764-774. Published online May 11, 2020; DOI: https://doi.org/10.4093/dmj.2019.0158

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Background

Low-dose persistent organic pollutants (POPs), especially organochlorine pesticides (OCPs), have emerged as a new risk factor of many chronic diseases. As serum concentrations of POPs in humans are mainly determined by both their release from adipose tissue to circulation and their elimination from circulation, management of these internal pathways may be important in controlling the serum concentrations of POPs. As habitual physical activity can increase the elimination of POPs from circulation, we evaluated whether chronic physical activity is related to low serum POP concentrations.

Methods

A cross-sectional study of 1,850 healthy adults (age ≥20 years) without cardio-metabolic diseases who participated in the U.S. National Health and Nutrition Examination Survey 1999 to 2004 was conducted. Information on moderate or vigorous leisure-time physical activity was obtained based on questionnaires. Serum concentrations of OCPs and polychlorinated biphenyls were investigated as typical POPs.

Results

Serum concentrations of OCPs among physically active subjects were significantly lower than those among physically inactive subjects (312.8 ng/g lipid vs. 538.0 ng/g lipid, P<0.001). This difference was maintained after adjustment for potential confounders. When analyses were restricted to physically active subjects, there were small decreases in the serum concentrations of OCPs with increasing duration of physical activity, showing a curvilinear relationship over the whole range of physical activity (P_quadratic <0.001). In analyses stratified by age, sex, body mass index, and smoking status, a strong inverse association was similarly observed among all subgroups.

Conclusion

Physical activity may assist in decreasing serum concentrations of lipophilic chemical mixtures such as OCPs.

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Cardiovascular Risk/Epidemiology
Validation of Risk Prediction Models for Atherosclerotic Cardiovascular Disease in a Prospective Korean Community-Based Cohort: Jae Hyun Bae, Min Kyong Moon, Sohee Oh, Bo Kyung Koo, Nam Han Cho, Moon-Kyu Lee; Diabetes Metab J. 2020;44(3):458-469. Published online January 13, 2020; DOI: https://doi.org/10.4093/dmj.2019.0061

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Background

To investigate the performance of the 2013 American College of Cardiology/American Heart Association Pooled Cohort Equations (PCE) in a large, prospective, community-based cohort in Korea and to compare it with that of the Framingham Global Cardiovascular Disease Risk Score (FRS-CVD) and the Korean Risk Prediction Model (KRPM).

Methods

In the Korean Genome and Epidemiology Study (KOGES)-Ansan and Ansung study, we evaluated calibration and discrimination of the PCE for non-Hispanic whites (PCE-WH) and for African Americans (PCE-AA) and compared their predictive abilities with the FRS-CVD and the KRPM.

Results

The present study included 7,932 individuals (3,778 men and 4,154 women). The PCE-WH and PCE-AA moderately overestimated the risk of atherosclerotic cardiovascular disease (ASCVD) for men (6% and 13%, respectively) but underestimated the risk for women (−49% and −25%, respectively). The FRS-CVD overestimated ASCVD risk for men (91%) but provided a good risk prediction for women (3%). The KRPM underestimated ASCVD risk for men (−31%) and women (−31%). All the risk prediction models showed good discrimination in both men (C-statistic 0.730 to 0.735) and women (C-statistic 0.726 to 0.732). Recalibration of the PCE using data from the KOGES-Ansan and Ansung study substantially improved the predictive accuracy in men.

Conclusion

In the KOGES-Ansan and Ansung study, the PCE overestimated ASCVD risk for men and underestimated the risk for women. The PCE-WH and the FRS-CVD provided an accurate prediction of ASCVD in men and women, respectively.

Citations

Citations to this article as recorded by

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Journal of Clinical Medicine.2024; 13(9): 2563. CrossRef
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JACC: Advances.2024; 3(10): 101257. CrossRef
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Verena Gounden, Sridevi Devaraj, Ishwarlal Jialal
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International Journal of Behavioral Medicine.2023; 30(1): 89. CrossRef
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Sazzli Shahlan Kasim, Nurulain Ibrahim, Sorayya Malek, Khairul Shafiq Ibrahim, Muhammad Firdaus Aziz, Cheen Song, Yook Chin Chia, Anis Safura Ramli, Kazuaki Negishi, Nafiza Mat Nasir
The Lancet Regional Health - Western Pacific.2023; 35: 100742. CrossRef
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F. O. Ushanova, T. Yu. Demidova, T. N. Korotkova
FOCUS. Endocrinology.2023; 4(2): 19. CrossRef
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Epidemiology and Health.2023; 45: e2023052. CrossRef
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Endocrinology and Metabolism.2023; 38(4): 406. CrossRef
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Mahin Nomali, Davood Khalili, Mehdi Yaseri, Mohammad Ali Mansournia, Aryan Ayati, Hossein Navid, Saharnaz Nedjat, Hean Teik Ong
PLOS ONE.2023; 18(11): e0292396. CrossRef
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Hyunok Yun, Ji Eun Lim, Eun Young Lee
Reviews in Cardiovascular Medicine.2023;[Epub] CrossRef
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Kyung-Soo Kim, Sangmo Hong, Kyungdo Han, Cheol-Young Park
Journal of Lipid and Atherosclerosis.2022; 11(1): 73. CrossRef
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American Journal of Preventive Cardiology.2022; 11: 100363. CrossRef
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Diabetes & Metabolism Journal.2021; 45(4): 492. CrossRef
Comparative performance of the two pooled cohort equations for predicting atherosclerotic cardiovascular disease
Alessandra M. Campos-Staffico, David Cordwin, Venkatesh L. Murthy, Michael P. Dorsch, Jasmine A. Luzum
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Clinical Complications
Incidence and Risk Factors for Dementia in Type 2 Diabetes Mellitus: A Nationwide Population-Based Study in Korea: Ji Hee Yu, Kyungdo Han, Sanghyun Park, Hanna Cho, Da Young Lee, Jin-Wook Kim, Ji A Seo, Sin Gon Kim, Sei Hyun Baik, Yong Gyu Park, Kyung Mook Choi, Seon Mee Kim, Nan Hee Kim; Diabetes Metab J. 2020;44(1):113-124. Published online November 12, 2019; DOI: https://doi.org/10.4093/dmj.2018.0216

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Background

Diabetes mellitus is associated with an increased risk of dementia. We aimed to comprehensively analyze the incidence and risk factors for dementia and young-onset dementia (YOD) in diabetic patients in Korea using the National Health Insurance Service data.

Methods

Between January 1, 2009 and December 31, 2012, a total of 1,917,702 participants with diabetes were included and followed until the date of dementia diagnosis or until December 31, 2015. We evaluated the incidence and risk factors for all dementia, Alzheimer's disease (AD), and vascular dementia (VaD) by Cox proportional hazards analyses. We also compared the impact of risk factors on the occurrence of YOD and late-onset dementia (LOD).

Results

During an average of 5.1 years of follow-up, the incidence of all types of dementia, AD, or VaD was 9.5, 6.8, and 1.3/1,000 person-years, respectively, in participants with diabetes. YOD comprised 4.8% of all dementia occurrence, and the ratio of AD/VaD was 2.1 for YOD compared with 5.5 for LOD. Current smokers and subjects with lower income, plasma glucose levels, body mass index (BMI), and subjects with hypertension, dyslipidemia, vascular complications, depression, and insulin treatment developed dementia more frequently. Vascular risk factors such as smoking, hypertension, and previous cardiovascular diseases were more strongly associated with the development of VaD than AD. Low BMI and a history of stroke or depression had a stronger influence on the development of YOD than LOD.

Conclusion

The optimal management of modifiable risk factors may be important for preventing dementia in subjects with diabetes mellitus.

Citations

Citations to this article as recorded by

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Obesity Reviews.2026;[Epub] CrossRef
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Maria-Ioanna Stefanou, Anastasios Tentolouris, Evangelos Panagiotopoulos, Aikaterini Theodorou, Annerose Mengel, Athanasia Athanasaki, Vaia Lambadiari, Melpomeni Peppa, Marianna Papadopoulou, Georgios P. Paraskevas, Sotirios Giannopoulos, Gerasimos Siasos
Journal of Diabetes and its Complications.2026; 40(3): 109271. CrossRef
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Ji Eun Jun, Seohyun Kim, In‐Kyung Jeong, Jae Hyeon Kim
Diabetes, Obesity and Metabolism.2026; 28(6): 4915. CrossRef
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Chuanrui Sun, Tianyu Wu, Congcong Yu, Sijue Yang, Huijie Yang, Zhou Zhang, Yan Bi
Diabetes, Obesity and Metabolism.2026; 28(6): 5113. CrossRef
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Cureus.2026;[Epub] CrossRef
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Ye He, Yining Zhu, Lixiao Yang, Yuzhu Wang, Chuyi Tan, Fangfang Ma, Ying Xia, Yun Shen
Journal of Diabetes Research.2026;[Epub] CrossRef
Risk of dementia in patients with age‐related medical conditions: a retrospective cohort study
Hee‐Cheol Kim
Psychogeriatrics.2025;[Epub] CrossRef
Comparative risk of dementia in diabetic stroke patients prescribed SGLT2 vs. DPP-4 inhibitors: A propensity-matched retrospective cohort study
Pei-Chun Chiang, Cheng-Yang Hsieh, Sheng-Feng Sung
Journal of Stroke and Cerebrovascular Diseases.2025; 34(5): 108276. CrossRef
Poor glycemic status as a risk factor for dementia in type 2 diabetes population: Findings from the Taiwan’s National Health Insurance Database
Chia-Ling Lin, Wu-Chien Chien, Chun-Ping Lin, Chi-Hsiang Chung, Fei-Ling Wu
Diabetes Research and Clinical Practice.2025; 222: 112065. CrossRef
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Wan‐Ching Shen, Jong‐Ni Lin, Shao‐Hua Chan, Li Yuh‐Shiow, Jing‐Jy Wang
Nursing & Health Sciences.2025;[Epub] CrossRef
New-generation antidiabetic medications and dementia risk in older adults with type 2 diabetes: A retrospective cohort study
Avi Cohen, Stephen Z Levine, Gabriel Vainstein, Michal Schnaider Beeri, Galit Weinstein
The Journal of Prevention of Alzheimer's Disease.2025; 12(8): 100199. CrossRef
Longitudinal trends in dementia prevalence among individuals with type 2 diabetes in Taiwan (2009–2022)
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Journal of Diabetes Investigation.2025; 16(7): 1329. CrossRef
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Yuichi Ishihara, Akira Taguchi, Shiho Yunoue, Misaki Mugiyama, Kazumi Hosokubo, Minami Ido, Kaori Nohara, Momo Shinmei, Takayuki Oniki, Akira Uchiyama, Masae Furukawa, Jingshu Wang, Naoki Saji, Akinori Takeda, Takashi Sakurai, Kenji Matsushita
BMC Oral Health.2025;[Epub] CrossRef
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Khosa Noor Ahmed, Essa Syed Muhammad, Shoaib Shahrukh, Gul Sakina, Haq Noman
Annals of Alzheimer's and Dementia Care.2025; 9(1): 001. CrossRef
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Mahtab Tabesh, Julian W. Sacre, Kanika Mehta, Lei Chen, Seyedeh Forough Sajjadi, Dianna J. Magliano, Jonathan E. Shaw
Diabetic Medicine.2025;[Epub] CrossRef
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Scientific Reports.2025;[Epub] CrossRef
Development of machine learning models for prediction of current and future dementia
Wonseok Jeong, Wankyo Chung, Jenna Scaramanga
PLOS One.2025; 20(12): e0330213. CrossRef
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Durong Chen, Meiling Zhang, Yalu Wen, Hongjuan Han, Yao Qin, Rong Zhang, Hongyan Cao, Hongmei Yu
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Aging and disease.2024; 15(5): 2255. CrossRef
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Neurology.2024;[Epub] CrossRef
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Yu‐Hsin Yen, Fu‐Shun Yen, Fu‐Shun Ko, James Cheng‐Chung Wei, Yuhan Huang, Teng‐Shun Yu, Chii‐Min Hwu, Chih‐Cheng Hsu
Diabetes, Obesity and Metabolism.2024; 26(11): 5399. CrossRef
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The Lancet Regional Health - Western Pacific.2024; 50: 101051. CrossRef
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Alzheimer's & Dementia.2024; 20(12): 8527. CrossRef
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Biomedicine & Pharmacotherapy.2023; 162: 114647. CrossRef
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Sunyoung Cho, Choon Ok Kim, Bong-soo Cha, Eosu Kim, Chung Mo Nam, Min-Gul Kim, Min Soo Park
Diabetes Research and Clinical Practice.2023; 201: 110721. CrossRef
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Heliyon.2023; 9(6): e17428. CrossRef
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Frontiers in Cellular and Infection Microbiology.2023;[Epub] CrossRef
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Journal of the American Medical Directors Association.2023; 24(9): 1363. CrossRef
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Acta Diabetologica.2022; 59(4): 443. CrossRef
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Jin Hwa Kim
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Reviews

Obesity and Metabolic Syndrome
Contributing Factors to Diabetic Brain Injury and Cognitive Decline: Nirmal Verma, Florin Despa; Diabetes Metab J. 2019;43(5):560-567. Published online October 24, 2019; DOI: https://doi.org/10.4093/dmj.2019.0153

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The link of diabetes with co-occurring disorders in the brain involves complex and multifactorial pathways. Genetically engineered rodents that express familial Alzheimer's disease-associated mutant forms of amyloid precursor protein and presenilin 1 (PSEN1) genes provided invaluable insights into the mechanisms and consequences of amyloid deposition in the brain. Adding diabetes factors (obesity, insulin impairment) to these animal models to predict success in translation to clinic have proven useful at some extent only. Here, we focus on contributing factors to diabetic brain injury with the aim of identifying appropriate animal models that can be used to mechanistically dissect the pathophysiology of diabetes-associated cognitive dysfunction and how diabetes medications may influence the development and progression of cognitive decline in humans with diabetes.

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Others
Mitochondrial Toxins and Healthy Lifestyle Meet at the Crossroad of Hormesis: Yu-Mi Lee, Duk-Hee Lee; Diabetes Metab J. 2019;43(5):568-577. Published online October 24, 2019; DOI: https://doi.org/10.4093/dmj.2019.0143

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Mitochondrial function is crucial for the maintenance of cellular homeostasis under physiological and stress conditions. Thus, chronic exposure to environmental chemicals that affect mitochondrial function can have harmful effects on humans. We argue that the concept of hormesis should be revisited to explain the non-linear responses to mitochondrial toxins at a low-dose range and develop practical methods to protect humans from the negative effects of mitochondrial toxins. Of the most concern to humans are lipophilic chemical mixtures and heavy metals, owing to their physical properties. Even though these chemicals tend to demonstrate no safe level in humans, a non-linear dose-response has been also observed. Stress response activation, i.e., hormesis, can explain this non-linearity. Recently, hormesis has reemerged as a unifying concept because diverse stressors can induce similar stress responses. Besides potentially harmful environmental chemicals, healthy lifestyle interventions such as exercise, calorie restriction (especially glucose), cognitive stimulation, and phytochemical intake also activate stress responses. This conceptual link can lead to the development of practical methods that counterbalance the harm of mitochondrial toxins. Unlike chemical hormesis with its safety issues, the activation of stress responses via lifestyle modification can be safely used to combat the negative effects of mitochondrial toxins.

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Original Articles

Clinical Complications
Hypoglycemia and Dementia Risk in Older Patients with Type 2 Diabetes Mellitus: A Propensity-Score Matched Analysis of a Population-Based Cohort Study: Young-Gun Kim, Dong Gyu Park, So Young Moon, Ja Young Jeon, Hae Jin Kim, Dae Jung Kim, Kwan-Woo Lee, Seung Jin Han; Diabetes Metab J. 2020;44(1):125-133. Published online October 23, 2019; DOI: https://doi.org/10.4093/dmj.2018.0260

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Background

Type 2 diabetes mellitus (T2DM) is associated with an increased risk for dementia. The effects of hypoglycemia on dementia are controversial. Thus, we evaluated whether hypoglycemia increases the risk for dementia in senior patients with T2DM.

Methods

We used the Korean National Health Insurance Service Senior cohort, which includes >10% of the entire senior population of South Korea. In total, 5,966 patients who had ever experienced at least one episode of hypoglycemia were matched with those who had not, using propensity score matching. The risk of dementia was assessed through a survival analysis of matched pairs.

Results

Patients with underlying hypoglycemic events had an increased risk for all-cause dementia, Alzheimer's dementia (AD), and vascular dementia (VaD) compared with those who had not experienced a hypoglycemic event (hazard ratio [HR], 1.254; 95% confidence interval [CI], 1.166 to 1.349; P<0.001 for all-cause dementia; HR, 1.264; 95% CI, 1.162 to 1.375; P<0.001 for AD; HR, 1.286; 95% CI, 1.110 to 1.490; P<0.001 for VaD). According to number of hypoglycemic episodes, the HRs of dementia were 1.170, 1.201, and 1.358 in patients with one hypoglycemic episode, two or three episodes, and more than three episodes, respectively. In the subgroup analysis, hypoglycemia was associated with an increased risk for dementia in both sexes with or without T2DM microvascular or macrovascular complications.

Conclusion

Our findings suggest that patients with a history of hypoglycemia have a higher risk for dementia. This trend was similar for AD and VaD, the two most important subtypes of dementia.

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Ageing Research Reviews.2026; 113: 102955. CrossRef
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Ruonan Gao, Menglan Zhan, Sujie Ke, Kejun Wu, Guanlian He, Liqin Qi, Xiaoying Liu, Xiaohong Liu, Lijing Wang, Libin Liu
Diabetes Research and Clinical Practice.2024; 207: 111036. CrossRef
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S. V. Bulgakova, P. Ya. Merzlova, D. P. Kurmaev, E. V. Treneva
Russian Journal of Geriatric Medicine.2024; (2): 108. CrossRef
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International Journal of Epidemiology.2023; 52(3): 908. CrossRef
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Lisa Dao, Sarah Choi, Matthew Freeby
Current Opinion in Endocrinology, Diabetes & Obesity.2023; 30(1): 7. CrossRef
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Wajd Alkabbani, Colleen J. Maxwell, Ruth Ann Marrie, Suzanne L. Tyas, Iliana C. Lega, John-Michael Gamble
Diabetes Care.2023; 46(2): 331. CrossRef
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Anne‐Sophie Boureau, Béatrice Guyomarch, Pierre Gourdy, Ingrid Allix, Cédric Annweiler, Nathalie Cervantes, Guillaume Chapelet, Isabelle Delabrière, Sophie Guyonnet, Rachel Litke, Marc Paccalin, Alfred Penfornis, Pierre‐Jean Saulnier, Matthieu Wargny, Sam
Journal of the American Geriatrics Society.2023; 71(7): 2107. CrossRef
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Khaled Hameed Husain, Saud Faisal Sarhan, Haya Khaled Ali Abdulla AlKhalifa, Asal Buhasan, Abu Saleh Md Moin, Alexandra E. Butler
International Journal of Molecular Sciences.2023; 24(12): 9846. CrossRef
Association Between Trajectory of Severe Hypoglycemia and Dementia in Patients With Type 2 Diabetes: A Population-based Study
Chung-Yi Li, Chia-Lun Kuo, Ya-Hui Chang, Chin-Li Lu, Santi Martini, Wen-Hsuan Hou
Journal of Epidemiology.2022; 32(9): 423. CrossRef
Severe Hypoglycemia Increases Dementia Risk and Related Mortality: A Nationwide, Population-based Cohort Study
Eugene Han, Kyung-do Han, Byung-Wan Lee, Eun Seok Kang, Bong-Soo Cha, Seung-Hyun Ko, Yong-ho Lee
The Journal of Clinical Endocrinology & Metabolism.2022; 107(5): e1976. CrossRef
Association between hypoglycemia and dementia in patients with diabetes: a systematic review and meta-analysis of 1.4 million patients
Lifen Huang, Manlian Zhu, Jie Ji
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Yuriko Hajika, Yuji Kawaguchi, Takako Tanaka, Kenji Hamazaki, Yasuro Kumeda
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International Journal of Molecular Sciences.2022; 23(11): 6144. CrossRef
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Siva S. V. P. Sakamuri, Venkata N. Sure, Xiaoying Wang, Gregory Bix, Vivian A. Fonseca, Ricardo Mostany, Prasad V. G. Katakam
GeroScience.2022; 44(6): 2721. CrossRef
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International Journal of Molecular Sciences.2021; 22(22): 12419. CrossRef
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Response: Hypoglycemia and Dementia Risk in Older Patients with Type 2 Diabetes Mellitus: A Propensity-Score Matched Analysis of a Population-Based Cohort Study (Diabetes Metab J 2020;44:125–33)
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Letter: Hypoglycemia and Dementia Risk in Older Patients with Type 2 Diabetes Mellitus: A Propensity-Score Matched Analysis of a Population-Based Cohort Study (Diabetes Metab J 2020;44:125–33)
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Lifesytle
Changes in the Quality of Life in Patients with Type 2 Diabetes Mellitus According to Physician and Patient Behaviors: Young-Joo Kim, In-Kyung Jeong, Sin-Gon Kim, Dong Hyeok Cho, Chong-Hwa Kim, Chul-Sik Kim, Won-Young Lee, Kyu-Chang Won, Jin-Hye Cha, Juneyoung Lee, Doo-Man Kim; Diabetes Metab J. 2020;44(1):91-102. Published online October 23, 2019; DOI: https://doi.org/10.4093/dmj.2018.0251

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Background

Diabetes mellitus (DM) is the most common chronic metabolic disorder with an increasing prevalence worldwide. According to a previous study, physicians' treatment patterns or patients' behaviors change when they become aware of the risk for cardiovascular (CV) disease in patients with DM. However, there exist controversial reports from previous studies in the impact of physicians' behaviors on the patients' quality of life (QoL) improvements. So we investigate the changes in QoL according to physicians and patients' behavioral changes after the awareness of CV risks in patients with type 2 DM.

Methods

Data were obtained from a prospective, observational study where 799 patients aged ≥40 years with type 2 DM were recruited at 24 tertiary hospitals in Korea. Changes in physicians' behaviors were defined as changes in the dose/type of antihypertensive, lipid-lowering, and anti-platelet therapies within 6-month after the awareness of CV risks in patients. Changes in patients' behaviors were based on lifestyle modifications. Audit of Diabetes Dependent Quality of Life comprising 19-life-domains was used.

Results

The weighted impact score change for local or long-distance journey (P=0.0049), holidays (P=0.0364), and physical health (P=0.0451) domains significantly differed between the two groups; patients whose physician's behaviors changed showed greater improvement than those whose physician's behaviors did not change.

Conclusion

This study demonstrates that changes in physicians' behaviors, as a result of perceiving CV risks, improve QoL in some domains of life in DM patients. Physicians should recognize the importance of understanding CV risks and implement appropriate management.

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Drug/Regimen
Efficacy and Safety of Pioglitazone versus Glimepiride after Metformin and Alogliptin Combination Therapy: A Randomized, Open-Label, Multicenter, Parallel-Controlled Study: Jeong Mi Kim, Sang Soo Kim, Jong Ho Kim, Mi Kyung Kim, Tae Nyun Kim, Soon Hee Lee, Chang Won Lee, Ja Young Park, Eun Sook Kim, Kwang Jae Lee, Young Sik Choi, Duk Kyu Kim, In Joo Kim; Diabetes Metab J. 2020;44(1):67-77. Published online July 11, 2019; DOI: https://doi.org/10.4093/dmj.2018.0274

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Abstract PDF PubReader ePub

Background

There is limited information regarding the optimal third-line therapy for managing type 2 diabetes mellitus (T2DM) that is inadequately controlled using dual combination therapy. This study assessed the efficacy and safety of pioglitazone or glimepiride when added to metformin plus alogliptin treatment for T2DM.

Methods

This multicenter, randomized, active-controlled trial (ClinicalTrials.gov: NCT02426294) recruited 135 Korean patients with T2DM that was inadequately controlled using metformin plus alogliptin. The patients were then randomized to also receive pioglitazone (15 mg/day) or glimepiride (2 mg/day) for a 26-week period, with dose titration was permitted based on the investigator's judgement.

Results

Glycosylated hemoglobin levels exhibited similar significant decreases in both groups during the treatment period (pioglitazone: −0.81%, P<0.001; glimepiride: −1.05%, P<0.001). However, the pioglitazone-treated group exhibited significantly higher high density lipoprotein cholesterol levels (P<0.001) and significantly lower homeostatic model assessment of insulin resistance values (P<0.001). Relative to pioglitazone, adding glimepiride to metformin plus alogliptin markedly increased the risk of hypoglycemia (pioglitazone: 1/69 cases [1.45%], glimepiride: 14/66 cases [21.21%]; P<0.001).

Conclusion

Among patients with T2DM inadequately controlled using metformin plus alogliptin, the addition of pioglitazone provided comparable glycemic control and various benefits (improvements in lipid profiles, insulin resistance, and hypoglycemia risk) relative to the addition of glimepiride.

Citations

Citations to this article as recorded by

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