Diabetes & Metabolism Journal

Original Articles

Basic and Translational Research
Phosphodiesterase 5 Inhibitor Improves Insulin Sensitivity by Regulating Adipose Tissue Macrophage Polarization in Diet-Induced Obese Mice: Dan-Gyeong Song, Seongwon Pak, Dae-Chul Shin, Shindy Soedono, Kae Won Cho, Yejin Park, Subin Moon, Sooyeon Jang, Saeha Kim, Sang-Won Han, Keunwook Lee, Jong-Hee Sohn, Chan Hee Lee; Received June 14, 2024 Accepted February 25, 2025 Published online May 22, 2025; DOI: https://doi.org/10.4093/dmj.2024.0308 [Epub ahead of print]

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Abstract PDF Supplementary Material PubReader ePub: Background
Obesity is a rapidly increasing global health issue, which is associated with glucose and insulin resistance. Phosphodiesterase type 5 (PDE5) inhibitors (PDE5i) are known for their ability to enhance blood flow and vascular stability and are widely used to treat conditions such as erectile dysfunction, pulmonary hypertension, heart failure, and cancer. However, studies investigating the role of PDE5i in alleviating obesity and metabolic diseases remains unclear. Therefore, we investigated the effects of PDE5i on obesity and metabolic disorders in diet-induced obese mice and its underlying mechanisms.
Methods
PDE5i was administered to high-fat diet (HFD)-fed C57BL/6J mice for 6 to 7 weeks. Body weight and food intake were measured weekly, and baseline metabolic rates, physical activity, and glucose and insulin tolerance tests were assessed during PDE5i administration. Macrophages and T-cells in the gonadal white adipose tissue (gWAT) were analyzed by flow cytometry. Vascular stability and blood flow in gWAT were analyzed via immunostaining and in vivo live imaging. RAW264.7 cells and bone marrow-derived macrophages were used to determine immunoregulatory effects of PDE5i.
Results
In HFD-fed mice, PDE5i administration significantly enhanced systemic insulin sensitivity and AKT phosphorylation in gWAT. PDE5i reduced the M1/M2 ratio of gWAT macrophages of obese mice. These phenomena were associated with enhanced blood flow to the gWAT. In vitro experiments revealed that PDE5i suppressed lipopolysaccharide-induced proinflammatory cytokine production and increased the mRNA expression of genes associated with M2 polarization.
Conclusion
PDE5i plays a role in regulating adipose tissue inflammation and thus holds promise as a therapeutic agent for metabolic enhancement.

Metabolic Risk/Epidemiology
Beta-Cell Function, Insulin Sensitivity, and Metabolic Characteristics in Young-Onset Type 2 Diabetes Mellitus: Findings from Anam Diabetes Observational Study: Ji Yoon Kim, Jiyoon Lee, Sin Gon Kim, Nam Hoon Kim; Received October 1, 2024 Accepted February 18, 2025 Published online May 21, 2025; DOI: https://doi.org/10.4093/dmj.2024.0601 [Epub ahead of print]

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Abstract PDF Supplementary Material PubReader ePub: Background
In this study, we aimed to determine the metabolic characteristics and changes in the early stages of young-onset type 2 diabetes mellitus (YOD) in Koreans.
Methods
From the Anam Diabetes Observational Study cohort (2017–2023), the characteristics of newly diagnosed YOD (<40 years of age, n=39) and later-onset (≥40 years of age) type 2 diabetes mellitus (LOD, n=178) were compared at diagnosis and 1 year later. All participants underwent an oral glucose tolerance test at diagnosis and annually thereafter. β-Cell function was determined using the disposition index (DI), calculated as the insulinogenic index×Matsuda insulin sensitivity index (ISI). Insulin sensitivity was determined using ISI and homeostasis model assessment of insulin resistance (HOMA2-IR).
Results
Mean (±standard deviation) age of individuals with YOD was 29.8±6.4 years, and 76.9% were male. YOD patients had higher body mass index (29.8 kg/m² vs. 27.2 kg/m², P=0.020), fat mass (30.5 kg vs. 24.1 kg, P=0.011), fatty liver index (65.4 vs. 49.2, P=0.005), and glycosylated hemoglobin (HbA1c) level at diagnosis (9.3% vs. 7.7%, P<0.001) compared with LOD patients. YOD patients exhibited lower insulin sensitivity (ISI: 2.79 vs. 3.26, P=0.008; HOMA2-IR: 2.72 vs. 1.83, P<0.001) and β-cell function (DI) at diagnosis (0.41 vs. 0.72, P=0.003) than LOD patients. Following 1 year of treatment, DI improved by 94% in YOD along with improvement in HbA1c; however, it was still significantly lower than that of LOD (0.64 vs. 0.90, P=0.017).
Conclusion
Individuals with YOD have unfavorable metabolic characteristics, substantially reduced insulin sensitivity, and decompensated β-cell function at disease onset, which persist even after treatment.

Review

Basic and Translational Research
Extracellular Vesicle-Mediated Network in the Pathogenesis of Obesity, Diabetes, Steatotic Liver Disease, and Cardiovascular Disease: Joonyub Lee, Won Gun Choi, Marie Rhee, Seung-Hwan Lee; Diabetes Metab J. 2025;49(3):348-367. Published online May 1, 2025; DOI: https://doi.org/10.4093/dmj.2025.0184

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Abstract PDF PubReader ePub: Extracellular vesicles (EVs) are lipid bilayer-enclosed particles carrying bioactive cargo, including nucleic acids, proteins, and lipids, facilitating intercellular and interorgan communication. In addition to traditional mediators such as hormones, metabolites, and cytokines, increasing evidence suggests that EVs are key modulators in various physiological and pathological processes, particularly influencing metabolic homeostasis and contributing to the progression of cardiometabolic diseases. This review provides an overview of the most recent insights into EV-mediated mechanisms involved in the pathogenesis of obesity, insulin resistance, diabetes mellitus, steatotic liver disease, atherosclerosis, and cardiovascular disease. EVs play a critical role in modulating insulin sensitivity, glucose homeostasis, systemic inflammation, and vascular health by transferring functional molecules to target cells. Understanding the EV-mediated network offers potential for identifying novel biomarkers and therapeutic targets, providing opportunities for EV-based interventions in cardiometabolic disease management. Although many challenges remain, this evolving field highlights the need for further research into EV biology and its translational applications in cardiovascular and metabolic health.

Original Articles

Guideline/Statement/Fact Sheet
Older Adults with Diabetes in Korea: Latest Clinical and Epidemiologic Trends: Kyuho Kim, Bongseong Kim, Kyuna Lee, Yu-Bae Ahn, Seung-Hyun Ko, Sung Hee Choi, Kyungdo Han, Jae-Seung Yun, on Behalf of the Committee of Public Relation of the Korean Diabetes Association; Diabetes Metab J. 2025;49(2):183-193. Published online March 1, 2025; DOI: https://doi.org/10.4093/dmj.2024.0836

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Background
Diabetes in older adults is becoming a significant public burden to South Korea. However, a comprehensive understanding of epidemiologic trends and the detailed clinical characteristics of older adults with diabetes is lacking. Therefore, we evaluated epidemiologic trends and the metabolic and lifestyle characteristics of diabetes in Korean older adults.
Methods
We analyzed data from the Korea National Health and Nutrition Examination Survey to assess diabetes prevalence according to diabetes duration and lifestyle behaviors. In addition, we drew upon the National Health Information Database of the National Health Insurance System to assess physical activity levels, antidiabetic medication use, polypharmacy, medication adherence, and major comorbidities.
Results
The absolute number of newly diagnosed cases of diabetes among older adults doubled over the past decade. Management rates of metabolic indicators were higher in older adults with diabetes compared to those without diabetes. The proportion of older adults with diabetes meeting the minimum recommended physical activity increased over the years. Compared to 10 years before, the use of dipeptidyl peptidase-4 inhibitor or sodium-glucose cotransporter-2 inhibitor had increased, as had comorbidities such as dyslipidemia, dementia, cancer, heart failure, atrial fibrillation, and chronic kidney disease. Initial medication adherence was significantly lower in those with end-stage kidney disease or dementia, insulin use, high-risk alcohol use, and living alone. Continuing insulin use 1 year after diagnosis of diabetes was significantly higher in those who initiated insulin therapy at diagnosis, had retinopathy, were on triple antidiabetic medications, and had a history of cancer.
Conclusion
Comprehensive management of metabolic indicators and physical activity is essential for older adults with diabetes. Improvements in prescribing guidelines, personalized management of age-related comorbidities, and individualized approaches that consider the heterogeneous nature of older adults with diabetes are desirable. Further research, such as high-quality cohort and intervention studies specific to older adults, is needed to establish evidence-based management for older adults with diabetes.

Citations

Citations to this article as recorded by

Exploring the Lack of Physical Activity among Adolescents Worldwide
Dalmacito A. Cordero Jr.
Diabetes & Metabolism Journal.2025; 49(3): 513. CrossRef

Others
Contributions of Hepatic Insulin Resistance and Islet β-Cell Dysfunction to the Blood Glucose Spectrum in Newly Diagnosed Type 2 Diabetes Mellitus: Mengge Yang, Ying Wei, Jia Liu, Ying Wang, Guang Wang; Received September 5, 2024 Accepted December 12, 2024 Published online February 13, 2025; DOI: https://doi.org/10.4093/dmj.2024.0537 [Epub ahead of print]

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Abstract PDF Supplementary Material PubReader ePub: Background
Our previous studies have investigated the role of hepatic insulin resistance (hepatic IR) and islet β-cell function in the pathogenesis of diabetes. This study aimed to explore the contributions of hepatic IR and islet β-cell dysfunction to the blood glucose spectrum in patients with newly diagnosed type 2 diabetes mellitus.
Methods
Hepatic IR was assessed by the hepatic insulin resistance index (HIRI). Islet β-cell function was assessed by insulin secretion- sensitivity index-2 (ISSI2). The associations between blood glucose spectrum and hepatic IR and ISSI2 were analyzed.
Results
A total of 707 patients with new-onset diabetes were included. The fasting blood glucose (FBG) and 30 minutes postload blood glucose elevated with rising HIRI (both P for trend <0.001). The FBG, 30 minutes, 2 hours, and 3 hours post-load blood glucose elevated with decreasing ISSI2 quartiles (all P for trend <0.001). There was a negative correlation between ISSI2 and HIRI after adjusting blood glucose levels (r=–0.199, P<0.001).
Conclusion
Hepatic IR mainly contributed to FBG and early-phase postprandial plasma glucose, whereas β-cell dysfunction contributed to fasting and postprandial plasma glucose at each phase.

Sulwon Lecture 2024

Basic and Translational Research
Overcoming β-Cell Dysfunction in Type 2 Diabetes Mellitus: CD36 Inhibition and Antioxidant System: Il Rae Park, Yong Geun Chung, Kyu Chang Won; Diabetes Metab J. 2025;49(1):1-12. Published online January 1, 2025; DOI: https://doi.org/10.4093/dmj.2024.0796

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Type 2 diabetes mellitus (T2DM) is marked by chronic hyperglycemia, gradually worsening β-cell failure, and insulin resistance. Glucotoxicity and oxidative stress cause β-cell failure by increasing reactive oxygen species (ROS) production, impairing insulin secretion, and disrupting transcription factors such as pancreatic and duodenal homeobox 1 (PDX-1) and musculoaponeurotic fibrosarcoma oncogene family A (MafA). Cluster determinant 36 (CD36), an essential glycoprotein responsible for fatty acid uptake, exacerbates oxidative stress and induces the apoptosis of β-cells under hyperglycemic conditions through pathways involving ceramide, thioredoxin-interacting protein (TXNIP), and Rac1-nicotinamide adenine dinucleotide phosphate oxidase (NOX)-mediated redoxosome formation. Targeting CD36 pathways has emerged as a promising therapeutic strategy. Oral hypoglycemic agents, such as metformin, teneligliptin, and pioglitazone, have shown protective effects on β-cells by enhancing antioxidant defenses. These agents reduce glucotoxicity via mechanisms such as suppressing CD36 expression and stabilizing mitochondrial function. Additionally, novel insights into the glutathione antioxidant system and its role in β-cell survival underscore its therapeutic potential. This review focuses on the key contribution of oxidative stress and CD36 to β-cell impairment, the therapeutic promise of antioxidants, and the need for further research to apply these findings in clinical practice. Promising strategies targeting these mechanisms may help preserve β-cell function and slow T2DM progression.

Citations

Citations to this article as recorded by

Polygonatum sibiricum polysaccharides enhance pancreatic β-cell function in diabetic zebrafish by mitigating mitochondrial oxidative damage via the AMPK-SIRT1 pathway
Fan Lin, Wenjing Yu, Ping Li, Shuyao Tang, Yitong Ouyang, Liya Huang, Di Wu, Shaowu Cheng, Zhenyan Song
Frontiers in Nutrition.2025;[Epub] CrossRef
Melatonin Improves Lipid Homeostasis, Mitochondrial Biogenesis, and Antioxidant Defenses in the Liver of Prediabetic Rats
Milena Cremer de Souza, Maria Luisa Gonçalves Agneis, Karoliny Alves das Neves, Matheus Ribas de Almeida, Geórgia da Silva Feltran, Ellen Mayara Souza Cruz, João Paulo Ferreira Schoffen, Luiz Gustavo de Almeida Chuffa, Fábio Rodrigues Ferreira Seiva
International Journal of Molecular Sciences.2025; 26(10): 4652. CrossRef

Original Articles

Lifestyle and Behavioral Interventions
Impact of Meal Frequency on Insulin Resistance in Middle-Aged and Older Adults: A Prospective Cohort Study: Ha-Eun Ryu, Jong Hee Lee, Byoungjin Park, Seok-Jae Heo, Yu-Jin Kwon; Diabetes Metab J. 2025;49(2):311-320. Published online November 13, 2024; DOI: https://doi.org/10.4093/dmj.2024.0407

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Abstract PDF Supplementary Material PubReader ePub: Background
Insulin resistance (IR) is central to metabolic disorders and significantly influenced by diet. Studies on meal frequency (MF) and metabolic indicators have shown mixed results. This study explores the link between MF and IR in middle-aged and older adults.
Methods
This prospective cohort study included 4,570 adults aged 40 to 69 years from the Korean Genome and Epidemiologic Study. MF were divided into two groups based on whether they consumed three or more, or fewer than three, meals daily. IR was evaluated using the homeostasis model assessment of insulin resistance (HOMA-IR); participants were classified as IR if their HOMA-IR value was ≥2.5. Multiple Cox proportional hazard regression analyses were conducted to examine the association between MF and the incidence of IR.
Results
After adjusting for all variables, individuals in the MF ≥3 group showed a reduced incidence of IR compared to those in the MF <3 group (hazard ratio, 0.880; 95% confidence interval, 0.782 to 0.990). Additionally, subgroup analyses by sex, diabetes mellitus (DM), and body mass index (BMI) showed that this association persisted only in men, individuals without DM, and those with a BMI <25.
Conclusion
Our findings indicate that a higher MF among middle-aged and older adults is associated with a reduced incidence of IR. However, this association was maintained only in men, individuals without DM, and those without obesity.

Technology/Device
Efficacy and Safety of Automated Insulin Delivery Systems in Patients with Type 1 Diabetes Mellitus: A Systematic Review and Meta-Analysis: Wenqi Fan, Chao Deng, Ruoyao Xu, Zhenqi Liu, Richard David Leslie, Zhiguang Zhou, Xia Li; Diabetes Metab J. 2025;49(2):235-251. Published online November 13, 2024; DOI: https://doi.org/10.4093/dmj.2024.0130

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Background
Automated insulin delivery (AID) systems studies are upsurging, half of which were published in the last 5 years. We aimed to evaluate the efficacy and safety of AID systems in patients with type 1 diabetes mellitus (T1DM).
Methods
We searched PubMed, Embase, Cochrane Library, Web of Science, and ClinicalTrials.gov until August 31, 2023. Randomized clinical trials that compared AID systems with other insulin-based treatments in patients with T1DM were considered eligible. Studies characteristics and glycemic metrics was extracted by three researchers independently.
Results
Sixty-five trials (3,623 patients) were included. The percentage of time in range (TIR) was 11.74% (95% confidence interval [CI], 9.37 to 14.12; P<0.001) higher with AID systems compared with control treatments. Patients on AID systems had more pronounced improvement of time below range when diabetes duration was more than 20 years (–1.80% vs. –0.86%, P=0.031) and baseline glycosylated hemoglobin lower than 7.5% (–1.93% vs. –0.87%, P=0.033). Dual-hormone full closed-loop systems revealed a greater improvement in TIR compared with hybrid closed-loop systems (–19.64% vs. –10.87%). Notably, glycemia risk index (GRI) (–3.74; 95% CI, –6.34 to –1.14; P<0.01) was also improved with AID therapy.
Conclusion
AID systems showed significant advantages compared to other insulin-based treatments in improving glucose control represented by TIR and GRI in patients with T1DM, with more favorable effect in euglycemia by dual-hormone full closedloop systems as well as less hypoglycemia for patients who are within target for glycemic control and have longer diabetes duration.

Citations

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Transitioning between automated insulin delivery systems: A focus on personalisation
Pilar Isabel Beato-Víbora, Ana Chico, Jesus Moreno-Fernandez, Sharona Azriel-Mira, Lia Nattero-Chávez, Rosario Vallejo Mora, Núria Alonso-Carril, Olga Simó-Servat, Eva Aguilera-Hurtado, Luz María Reyes Céspedes, Marisol Ruiz de Adana, Marta Domínguez, Ros
Diabetes Research and Clinical Practice.2025; 222: 112070. CrossRef
Advances in Continuous Glucose Monitoring: Clinical Applications
So Yoon Kwon, Jun Sung Moon
Endocrinology and Metabolism.2025; 40(2): 161. CrossRef
Efficacy and Safety of Automated Insulin Delivery Systems in Patients with Type 1 Diabetes Mellitus: A Systematic Review and Meta-Analysis (Diabetes Metab J 2025;49:235-51)
Wenqi Fan, Chao Deng, Zhiguang Zhou, Xia Li
Diabetes & Metabolism Journal.2025; 49(3): 520. CrossRef
Critical Insights into the Efficacy and Safety of Automated Insulin Delivery Systems in Patients with Type 1 Diabetes Mellitus (Diabetes Metab J 2025;49:235-51)
Sami Ullah, Ayesha Ahmad, Kamil Ahmad Kamil, Minahil Laraib Asif, Abdullah Jan
Diabetes & Metabolism Journal.2025; 49(3): 516. CrossRef

Metabolic Risk/Epidemiology
Comparison of SPISE and METS-IR and Other Markers to Predict Insulin Resistance and Elevated Liver Transaminases in Children and Adolescents: Kyungchul Song, Eunju Lee, Hye Sun Lee, Hana Lee, Ji-Won Lee, Hyun Wook Chae, Yu-Jin Kwon; Diabetes Metab J. 2025;49(2):264-274. Published online October 29, 2024; DOI: https://doi.org/10.4093/dmj.2024.0302

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Background
Studies on predictive markers of insulin resistance (IR) and elevated liver transaminases in children and adolescents are limited. We evaluated the predictive capabilities of the single-point insulin sensitivity estimator (SPISE) index, metabolic score for insulin resistance (METS-IR), homeostasis model assessment of insulin resistance (HOMA-IR), the triglyceride (TG)/ high-density lipoprotein cholesterol (HDL-C) ratio, and the triglyceride-glucose index (TyG) for IR and alanine aminotransferase (ALT) elevation in this population.
Methods
Data from 1,593 participants aged 10 to 18 years were analyzed using a nationwide survey. Logistic regression analysis was performed with IR and ALT elevation as dependent variables. Receiver operating characteristic (ROC) curves were generated to assess predictive capability. Proportions of IR and ALT elevation were compared after dividing participants based on parameter cutoff points.
Results
All parameters were significantly associated with IR and ALT elevation, even after adjusting for age and sex, and predicted IR and ALT elevation in ROC curves (all P<0.001). The areas under the ROC curve of SPISE and METS-IR were higher than those of TyG and TG/HDL-C for predicting IR and were higher than those of HOMA-IR, TyG, and TG/HDL-C for predicting ALT elevation. The proportions of individuals with IR and ALT elevation were higher among those with METS-IR, TyG, and TG/ HDL-C values higher than the cutoff points, whereas they were lower among those with SPISE higher than the cutoff point.
Conclusion
SPISE and METS-IR are superior to TG/HDL-C and TyG in predicting IR and ALT elevation. Thus, this study identified valuable predictive markers for young individuals.

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Is Measuring BMI and Waist Circumference as Good in Assessing Insulin Resistance as Using Bioelectrical Impedance to Measure Total Body Fat and Visceral Fat?
María Gordito Soler, Pedro Juan Tárraga López, Ángel Arturo López-González, Hernán Paublini, Emilio Martínez-Almoyna Rifá, María Teófila Vicente-Herrero, José Ignacio Ramírez-Manent
Diabetology.2025; 6(4): 32. CrossRef
Association between cardiometabolic index and postmenopausal stress urinary incontinence: a cross-sectional study from NHANES 2013 to 2018
Ting Yin, Yue He, Huifang Cong
Lipids in Health and Disease.2025;[Epub] CrossRef
Identification of pediatric MASLD using insulin resistance indices
Kyungchul Song, Eunju Lee, Hye Sun Lee, Young Hoon Youn, Su Jung Baik, Hyun Joo Shin, Hyun Wook Chae, Ji-Won Lee, Yu-Jin Kwon
JHEP Reports.2025; 7(7): 101419. CrossRef
Screening accuracy of Single-Point Insulin Sensitivity Estimator (SPISE) for metabolic syndrome: a systematic review and meta-analysis
Alireza Azarboo, Parisa Fallahtafti, Sayeh Jalali, Amirhossein Shirinezhad, Ramin Assempoor, Amirhossein Ghaseminejad-Raeini
BMC Endocrine Disorders.2025;[Epub] CrossRef

Brief Report

Type 1 Diabetes
In Vivo Differentiation of Endogenous Bone Marrow-Derived Cells into Insulin-Producing Cells Using Four Soluble Factors: Seung-Ah Lee, Subin Kim, Seog-Young Kim, Jong Yoen Park, Hye Seung Jung, Sung Soo Chung, Kyong Soo Park; Diabetes Metab J. 2025;49(1):150-159. Published online October 24, 2024; DOI: https://doi.org/10.4093/dmj.2024.0174

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Abstract PDF Supplementary Material PubReader ePub: Four soluble factors—putrescine, glucosamine, nicotinamide, and signal transducer and activator of transcription 3 (STAT3) inhibitor BP-1-102—were shown to differentiate bone marrow mononucleated cells (BMNCs) into functional insulin-producing cells (IPCs) in vitro. Transplantation of these IPCs improved hyperglycemia in diabetic mice. However, the role of endogenous BMNC regeneration in this effect was unclear. This study aimed to evaluate the effect of these factors on in vivo BMNC differentiation into IPCs in diabetic mice. Mice were orally administered the factors for 5 days, twice at 2-week intervals, and monitored for 45–55 days. Glucose tolerance, glucose-stimulated insulin secretion, and pancreatic insulin content were measured. Chimeric mice harboring BMNCs from insulin promoter luciferase/green fluorescent protein (GFP) transgenic mice were used to track endogenous BMNC fate. These factors lowered blood glucose levels, improved glucose tolerance, and enhanced insulin secretion. Immunostaining confirmed IPCs in the pancreas, showing the potential of these factors to induce β-cell regeneration and improve diabetes treatment.

Review

Cardiovascular Risk/Epidemiology
Artificial Light at Night and Type 2 Diabetes Mellitus: Jong-Ha Baek, Yong Zhu, Chandra L. Jackson, Yong-Moon Mark Park; Diabetes Metab J. 2024;48(5):847-863. Published online September 1, 2024; DOI: https://doi.org/10.4093/dmj.2024.0237

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The widespread and pervasive use of artificial light at night (ALAN) in our modern 24-hour society has emerged as a substantial disruptor of natural circadian rhythms, potentially leading to a rise in unhealthy lifestyle-related behaviors (e.g., poor sleep; shift work). This phenomenon has been associated with an increased risk of type 2 diabetes mellitus (T2DM), which is a pressing global public health concern. However, to date, reviews summarizing associations between ALAN and T2DM have primarily focused on the limited characteristics of exposure (e.g., intensity) to ALAN. This literature review extends beyond prior reviews by consolidating recent studies from 2000 to 2024 regarding associations between both indoor and outdoor ALAN exposure and the incidence or prevalence of T2DM. We also described potential biological mechanisms through which ALAN modulates glucose metabolism. Furthermore, we outlined knowledge gaps and investigated how various ALAN characteristics beyond only light intensity (including light type, timing, duration, wavelength, and individual sensitivity) influence T2DM risk. Recognizing the detrimental impact of ALAN on sleep health and the behavioral correlates of physical activity and dietary patterns, we additionally summarized studies investigating the potential mediating role of each component in the relationship between ALAN and glucose metabolism. Lastly, we proposed implications of chronotherapies and chrononutrition for diabetes management in the context of ALAN exposure.

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Impact of bedroom light exposure on glucose metabolic markers and the role of circadian-dependent meal timing: A population-based cross-sectional study
Qi Li, Yu-xiang Xu, Xiu-zhen Lu, Yu-ting Shen, Yu-hui Wan, Pu-yu Su, Fang-biao Tao, Xin Chen, Ying Sun
Ecotoxicology and Environmental Safety.2025; 290: 117589. CrossRef
The impact of environmental pollution on metabolic health and the risk of non-communicable chronic metabolic diseases in humans
Caterina Formichi, Sonia Caprio, Laura Nigi, Francesco Dotta
Nutrition, Metabolism and Cardiovascular Diseases.2025; 35(6): 103975. CrossRef
Synergistic effects of air pollution and artificial light at night on diabetes risk: A prospective cohort study
Desong Wen, Fei Lin, Chaowei Zhang, Ziyu Ge, Xiaohang Li, Zhenzhou Liu, Hanqing Zhao, Weimin Wang, Zhigang Chen, Guoan Zhao
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Brief Report

Technology/Device
Effectiveness of Predicted Low-Glucose Suspend Pump Technology in the Prevention of Hypoglycemia in People with Type 1 Diabetes Mellitus: Real-World Data Using DIA:CONN G8: Jee Hee Yoo, Ji Yoon Kim, Jae Hyeon Kim; Diabetes Metab J. 2025;49(1):144-149. Published online August 28, 2024; DOI: https://doi.org/10.4093/dmj.2024.0039

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Abstract PDF Supplementary Material PubReader ePub: We evaluated the effectiveness of the predictive low-glucose suspend (PLGS) algorithm in the DIA:CONN G8. Forty people with type 1 diabetes mellitus (T1DM) who used a DIA:CONN G8 for at least 2 months with prior experience using pumps without and with PLGS were retrospectively analyzed. The objective was to assess the changes in time spent in hypoglycemia (percent of time below range [%TBR]) before and after using PLGS. The mean age, sensor glucose levels, glucose threshold for suspension, and suspension time were 31.1±22.8 years, 159.7±23.2 mg/dL, 81.1±9.1 mg/dL, and 111.9±79.8 min/day, respectively. Overnight %TBR <70 mg/dL was significantly reduced after using the algorithm (differences=0.3%, from 1.4%±1.5% to 1.1%±1.2%, P=0.045). The glycemia risk index (GRI) improved significantly by 4.2 (from 38.8±20.9 to 34.6±19.0, P=0.002). Using the PLGS did not result in a change in the hyperglycemia metric (all P>0.05). Our findings support the PLGS in DIA:CONN G8 as an effective algorithm to improve night-time hypoglycemia and GRI in people with T1DM.

Original Articles

Pathophysiology
Recent Glycemia Is a Major Determinant of β-Cell Function in Type 2 Diabetes Mellitus: Ji Yoon Kim, Jiyoon Lee, Sin Gon Kim, Nam Hoon Kim; Diabetes Metab J. 2024;48(6):1135-1146. Published online June 17, 2024; DOI: https://doi.org/10.4093/dmj.2023.0359

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Background
Progressive deterioration of β-cell function is a characteristic of type 2 diabetes mellitus (T2DM). We aimed to investigate the relative contributions of clinical factors to β-cell function in T2DM.
Methods
In a T2DM cohort of 470 adults (disease duration 0 to 41 years), β-cell function was estimated using insulinogenic index (IGI), disposition index (DI), oral disposition index (DIO), and homeostasis model assessment of β-cell function (HOMA-B) derived from a 75 g oral glucose tolerance test (OGTT). The relative contributions of age, sex, disease duration, body mass index, glycosylated hemoglobin (HbA1c) levels (at the time of the OGTT), area under the curve of HbA1c over time (HbA1c AUC), coefficient of variation in HbA1c (HbA1c CV), and antidiabetic agents use were compared by standardized regression coefficients. Longitudinal analyses of these indices were also performed.
Results
IGI, DI, DI_O, and HOMA-B declined over time (P<0.001 for all). Notably, HbA1c was the most significant factor affecting IGI, DI, DIO, and HOMA-B in the multivariable regression analysis. Compared with HbA1c ≥9%, DI was 1.9-, 2.5-, 3.7-, and 5.5-fold higher in HbA1c of 8%–<9%, 7%–<8%, 6%–<7%, and <6%, respectively, after adjusting for confounding factors (P<0.001). Conversely, β-cell function was not affected by the type or duration of antidiabetic agents, HbA1c AUC, or HbA1c CV. The trajectories of the IGI, DI, DIO, and HOMA-B mirrored those of HbA1c.
Conclusion
β-Cell function declines over time; however, it is flexible, being largely affected by recent glycemia in T2DM.

Citations

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Synergistic benefit of thiazolidinedione and sodium-glucose cotransporter 2 inhibitor for metabolic dysfunction-associated steatotic liver disease in type 2 diabetes: a 24-week, open-label, randomized controlled trial
Minyoung Lee, Sukchul Hong, Yongin Cho, Hyungjin Rhee, Min Heui Yu, Jaehyun Bae, Yong-ho Lee, Byung-Wan Lee, Eun Seok Kang, Bong-Soo Cha
BMC Medicine.2025;[Epub] CrossRef
The Importance of Treating Hyperglycemia in β-Cell Dysfunction of Type 2 Diabetes Mellitus
Arim Choi, Kyung-Soo Kim
Diabetes & Metabolism Journal.2024; 48(6): 1056. CrossRef

Metabolic Risk/Epidemiology
A Prospective 1-Year Follow-up of Glycemic Status and C-Peptide Levels of COVID-19 Survivors with Dysglycemia in Acute COVID-19 Infection: David Tak Wai Lui, Chi Ho Lee, Ying Wong, Carol Ho Yi Fong, Kimberly Hang Tsoi, Yu Cho Woo, Kathryn Choon Beng Tan; Diabetes Metab J. 2024;48(4):763-770. Published online March 11, 2024; DOI: https://doi.org/10.4093/dmj.2023.0175

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Abstract PDF PubReader ePub: Background
We evaluated changes in glycemic status, over 1 year, of coronavirus disease 2019 (COVID-19) survivors with dysglycemia in acute COVID-19.
Methods
COVID-19 survivors who had dysglycemia (defined by glycosylated hemoglobin [HbA1c] 5.7% to 6.4% or random glucose ≥10.0 mmol/L) in acute COVID-19 were recruited from a major COVID-19 treatment center from September to October 2020. Matched non-COVID controls were recruited from community. The 75-g oral glucose tolerance test (OGTT) were performed at baseline (6 weeks after acute COVID-19) and 1 year after acute COVID-19, with HbA1c, insulin and C-peptide measurements. Progression in glycemic status was defined by progression from normoglycemia to prediabetes/diabetes, or prediabetes to diabetes.
Results
Fifty-two COVID-19 survivors were recruited. Compared with non-COVID controls, they had higher C-peptide (P< 0.001) and trend towards higher homeostasis model assessment of insulin resistance (P=0.065). Forty-three COVID-19 survivors attended 1-year reassessment. HbA1c increased from 5.5%±0.3% to 5.7%±0.2% (P<0.001), with increases in glucose on OGTT at fasting (P=0.089), 30-minute (P=0.126), 1-hour (P=0.014), and 2-hour (P=0.165). At baseline, 19 subjects had normoglycemia, 23 had prediabetes, and one had diabetes. Over 1 year, 10 subjects (23.8%; of 42 non-diabetes subjects at baseline) had progression in glycemic status. C-peptide levels remained unchanged (P=0.835). Matsuda index decreased (P=0.007) and there was a trend of body mass index increase from 24.4±2.7 kg/m² to 25.6±5.2 (P=0.083). Subjects with progression in glycemic status had more severe COVID-19 illness than non-progressors (P=0.030). Reassessment was not performed in the control group.
Conclusion
Subjects who had dysglycemia in acute COVID-19 were characterized by insulin resistance. Over 1 year, a quarter had progression in glycemic status, especially those with more severe COVID-19. Importantly, there was no significant deterioration in insulin secretory capacity.

Drug/Regimen
Efficacy and Safety of IDegAsp in a Real-World Korean Population with Type 2 Diabetes Mellitus: Shinae Kang, Yu-Bae Ahn, Tae Keun Oh, Won-Young Lee, Sung Wan Chun, Boram Bae, Amine Dahaoui, Jin Sook Jeong, Sungeun Jung, Hak Chul Jang; Diabetes Metab J. 2024;48(5):929-936. Published online February 27, 2024; DOI: https://doi.org/10.4093/dmj.2023.0297

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Background
This study investigated the real-world efficacy and safety of insulin degludec/insulin aspart (IDegAsp) in Korean adults with type 2 diabetes mellitus (T2DM), whose insulin treatment was switched to IDegAsp.
Methods
This was a multicenter, retrospective, observational study comprising two 26-week treatment periods, before and after switching to IDegAsp, respectively. Korean adults with uncontrolled T2DM treated with basal or premix insulin (±oral antidiabetic drugs) were enrolled. The primary objective was to compare the degree of glycosylated hemoglobin (HbA1c) change in each 26-week observation period. The analyses included changes in HbA1c, fasting plasma glucose (FPG), body weight, proportion of participants achieving HbA1c <7.0%, hypoglycemic events, and total daily insulin dose (ClinicalTrials.gov, number NCT04656106).
Results
In total, 196 adults (mean age, 65.95 years; mean T2DM duration, 18.99 years) were analyzed. The change in both HbA1c and FPG were significantly different between the pre-switching and the post-switching period (0.28% vs. –0.51%, P<0.001; 5.21 mg/dL vs. –23.10 mg/dL, P=0.005), respectively. After switching, the rate of achieving HbA1c <7.0% was significantly improved (5.10% at baseline vs. 11.22% with IDegAsp, P=0.012). No significant differences (before vs. after switching) were observed in body weight change, and total daily insulin dose. The rates of overall and severe hypoglycemia were similar in the two periods.
Conclusion
In real-world clinical practice in Korea, the change of insulin regimen to IDegAsp was associated with an improvement in glycemic control without increase of hypoglycemia, supporting the use of IDegAsp for patients with T2DM uncontrolled with basal or premix insulin.

Citations

Citations to this article as recorded by

Switching from Premixed Insulin to Insulin Degludec/Insulin Aspart for the Management of Type 2 Diabetes Mellitus: Implications of a Real-World Study on Insulin Degludec Dosing
Yiming Wu, Junqing Zhang, Ang Li
Diabetes Therapy.2024; 15(12): 2515. CrossRef

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