Diabetes & Metabolism Journal

Original Articles

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; Received March 21, 2024 Accepted July 24, 2024 Published online October 31, 2024; DOI: https://doi.org/10.4093/dmj.2024.0142 [Epub ahead of print]

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Abstract PDF Supplementary Material PubReader ePub: 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.

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; Received March 8, 2024 Accepted May 13, 2024 Published online October 29, 2024; DOI: https://doi.org/10.4093/dmj.2024.0117 [Epub ahead of print]

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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.

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; Received March 20, 2024 Accepted June 17, 2024 Published online September 20, 2024; DOI: https://doi.org/10.4093/dmj.2024.0139 [Epub ahead of print]

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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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Hexokinase Domain Containing 1 (HKDC1) Gene Variants and Their Association With Gestational Diabetes Mellitus: A Mini-Review
Sekar Kanthimathi, Polina Popova, Viswanathan Mohan, Wesley Hannah, Ranjit Mohan Anjana, Venkatesan Radha
Journal of Diabetology.2024; 15(4): 354. CrossRef

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 12, 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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Trends in prescribing sodium‐glucose cotransporter 2 inhibitors for individuals with type 2 diabetes with and without cardiovascular‐renal disease in South Korea, 2015–2021
Kyoung Hwa Ha, Soyoung Shin, EunJi Na, Dae Jung Kim
Journal of Diabetes Investigation.2024;[Epub] CrossRef

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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Abstract PDF PubReader ePub: 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.

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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Abstract PDF Supplementary Material PubReader ePub: 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.

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.

Citations

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Novel secreted regulators of glucose and lipid metabolism in the development of metabolic diseases
Lianna W. Wat, Katrin J. Svensson
Diabetologia.2024; 67(12): 2626. CrossRef
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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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Oxidative Balance Score and New-Onset Type 2 Diabetes Mellitus in Korean Adults without Non-Alcoholic Fatty Liver Disease: Korean Genome and Epidemiology Study-Health Examinees (KoGES-HEXA) Cohort
Mid-Eum Moon, Dong Hyuk Jung, Seok-Jae Heo, Byoungjin Park, Yong Jae Lee
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Depression and Anxiety.2024; 2024: 1. CrossRef
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Rana Kolahi Ahari, Toktam Sahranavard, Amin Mansoori, Zahra Fallahi, Negin Babaeepoor, Gordon Ferns, Majid Ghayour‐Mobarhan
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Yunmin Han, Younghwan Choi, Yeon Soo Kim
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Recent trends of low-density lipoprotein cholesterol control and lipid-lowering therapy in patients with atherosclerotic cardiovascular disease in Taiwan: 2015–2020
Tzu-Yang Chen, Yu-Chung Hsiao, Yen-Wen Wu, Tsung-Hsien Lin, Wayne Huey-Herng Sheu, Thung-Lip Lee, I-Chang Hsieh, Yi-Heng Li, Wei-Hsian Yin, Hung-I Yeh, Jaw-Wen Chen, Fang-Ju Lin, Chau-Chung Wu
Journal of the Formosan Medical Association.2024;[Epub] CrossRef
Study Design and Protocol for a Randomized Controlled Trial to Assess Long-Term Efficacy and Safety of a Triple Combination of Ezetimibe, Fenofibrate, and Moderate-Intensity Statin in Patients with Type 2 Diabetes and Modifiable Cardiovascular Risk Factor
Nam Hoon Kim, Juneyoung Lee, Suk Chon, Jae Myung Yu, In-Kyung Jeong, Soo Lim, Won Jun Kim, Keeho Song, Ho Chan Cho, Hea Min Yu, Kyoung-Ah Kim, Sang Soo Kim, Soon Hee Lee, Chong Hwa Kim, Soo Heon Kwak, Yong‐ho Lee, Choon Hee Chung, Sihoon Lee, Heung Yong J
Endocrinology and Metabolism.2024; 39(5): 722. CrossRef
Exploring Utilization and Establishing Reference Intervals for the Apolipoprotein B Test in the Korean Population
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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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Qiuhong Huang, Lichun Tang, Xiaohui Meng, Meiling Wen, Yin Qin, Jingjing Liu, Xuanxuan Luo, Rong Liang, Xia Dai
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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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Journal of Cachexia, Sarcopenia and Muscle.2024; 15(2): 671. CrossRef
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Jeongmin Lee, Hye Lim Park, Su Young Park, Chul-Hyun Lim, Min-Hee Kim, Jung Min Lee, Sang-Ah Chang, Jung-Hwan Oh
BMC Gastroenterology.2024;[Epub] CrossRef
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Byeong Yun Ahn, Bokyung Kim, Sanghyun Park, Sang Gyun Kim, Kyungdo Han, Soo‐Jeong Cho
Cancer.2024; 130(10): 1807. CrossRef
Multidimensional behavioral factors for diabetes management among middle-aged adults: a population-based study
Hyerang Kim, Heesook Son
Journal of Public Health.2024;[Epub] CrossRef
Efficacy and Safety of Once-Weekly Semaglutide Versus Once-Daily Sitagliptin as Metformin Add-on in a Korean Population with Type 2 Diabetes
Byung-Wan Lee, Young Min Cho, Sin Gon Kim, Seung-Hyun Ko, Soo Lim, Amine Dahaoui, Jin Sook Jeong, Hyo Jin Lim, Jae Myung Yu
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
Cumulative exposure to hypertriglyceridemia and risk of type 2 diabetes in young adults
Min-Kyung Lee, Kyungdo Han, Bongsung Kim, Jong-Dai Kim, Moon Jung Kim, Byungpyo Kim, Jung Heo, Jiyeon Ahn, Seo-Young Sohn, Jae-Hyuk Lee
Diabetes Research and Clinical Practice.2024; 208: 111109. CrossRef
Recent evidence on target blood pressure in patients with hypertension
Hack-Lyoung Kim
Cardiovascular Prevention and Pharmacotherapy.2024; 6(1): 17. CrossRef
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Kyeong Min Kim, Seon A Jeong, Tae Hyun Ban, Yu Ah Hong, Seun Deuk Hwang, Sun Ryoung Choi, Hajeong Lee, Ji Hyun Kim, Su Hyun Kim, Tae Hee Kim, Ho-Seok Koo, Chang-Yun Yoon, Kiwon Kim, Seon Ho Ahn, Yong Kyun Kim, Hye Eun Yoon
Kidney Research and Clinical Practice.2024; 43(1): 20. CrossRef
In silico exploration of the potential inhibitory activities of in-house and ZINC database lead compounds against alpha-glucosidase using structure-based virtual screening and molecular dynamics simulation approach
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.2024; : 1. CrossRef
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Jung Lim Lee, Youngji Kim
Healthcare.2024; 12(3): 368. CrossRef
Current status of remote collaborative care for hypertension in medically underserved areas
Seo Yeon Baik, Kyoung Min Kim, Hakyoung Park, Jiwon Shinn, Hun-Sung Kim
Cardiovascular Prevention and Pharmacotherapy.2024; 6(1): 33. CrossRef
Association of non-alcoholic fatty liver disease with cardiovascular disease and all cause death in patients with type 2 diabetes mellitus: nationwide population based study
Kyung-Soo Kim, Sangmo Hong, Kyungdo Han, Cheol-Young Park
BMJ.2024; : 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
Participation experience in self-care program for type 2 diabetes: A mixed-methods study
Mihwan Kim, Haejung Lee, Gaeun Park, Ah Reum Khang
Journal of Korean Gerontological Nursing.2024; 26(1): 31. CrossRef
Fasting GLP-1 Levels and Albuminuria Are Negatively Associated in Patients with Type 2 Diabetes Mellitus
Cheol-Won Jang, Tae Yang Yu, Jin Woo Jeong, Se Eun Ha, Rajan Singh, Moon Young Lee, Seungil Ro
Journal of Personalized Medicine.2024; 14(3): 280. CrossRef
The clinical relevance of a polygenic risk score for type 2 diabetes mellitus in the Korean population
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
Real-World Treatment Patterns according to Clinical Practice Guidelines in Patients with Type 2 Diabetes Mellitus and Established Cardiovascular Disease in Korea: Multicenter, Retrospective, Observational Study
Ye Seul Yang, Nam Hoon Kim, Jong Ha Baek, Seung-Hyun Ko, Jang Won Son, Seung-Hwan Lee, Sang Youl Rhee, Soo-Kyung Kim, Tae Seo Sohn, Ji Eun Jun, In-Kyung Jeong, Chong Hwa Kim, Keeho Song, Eun-Jung Rhee, Junghyun Noh, Kyu Yeon Hur
Diabetes & Metabolism Journal.2024; 48(2): 279. CrossRef
Triglyceride-glucose index predicts type 2 diabetes mellitus more effectively than oral glucose tolerance test-derived insulin sensitivity and secretion markers
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
Real-World Outcomes of Individualized Targeted Therapy with Insulin Glargine 300 Units/mL in Insulin-Naïve Korean People with Type 2 Diabetes: TOBE Study
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
Efficacy and tolerability of initial triple combination therapy with metformin, dapagliflozin and saxagliptin compared with stepwise add‐on therapy in drug‐naïve patients with type 2 diabetes (TRIPLE‐AXEL study): A multicentre, randomized, 104‐week, open‐
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Diabetes, Obesity and Metabolism.2024; 26(9): 3642. CrossRef
Baseline glycated albumin level and risk of type 2 diabetes mellitus in Healthy individuals: a retrospective longitudinal observation in Korea
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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Eun Yeong Ha, Il Rae Park, Seung Min Chung, Young Nam Roh, Chul Hyun Park, Tae-Gon Kim, Woong Kim, Jun Sung Moon
Journal of Clinical Medicine.2024; 13(8): 2311. CrossRef
Myotonic dystrophy type 1 in South Korea: a comprehensive analysis of cancer and comorbidity risks
Incheol Seo, Jin-Mo Park
Neurological Sciences.2024; 45(9): 4573. CrossRef
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Jin Hwa Kim, Young Sang Lyu, BongSeong Kim, Mee Kyung Kim, Sang Yong Kim, Ki‐Hyun Baek, Ki‐Ho Song, Kyungdo Han, Hyuk‐Sang Kwon
Diabetes, Obesity and Metabolism.2024; 26(7): 2567. CrossRef
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Kyuho Kim, Jae-Seung Yun, Joonyub Lee, Yeoree Yang, Minhan Lee, Yu-Bae Ahn, Jae Hyoung Cho, Seung-Hyun Ko
Endocrinology and Metabolism.2024; 39(2): 344. CrossRef
Impact of electronic cigarette use on the increased risk of diabetes: the Korean Community Health Survey
Wonseok Jeong, Seungju Kim
Epidemiology and Health.2024; : e2024029. CrossRef
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Jianlong Zhou, Lv Zhu, Rensong Yue
International Urology and Nephrology.2024; 56(10): 3307. CrossRef
Assessing blood sugar measures for predicting new-onset diabetes and cardiovascular disease in community-dwelling adults
Jung-Hwan Kim, Yaeji Lee, Chung-Mo Nam, Yu-Jin Kwon, Ji-Won Lee
Endocrine.2024; 86(2): 528. CrossRef
Association between Body Weight Variability and Mortality in Young Adults: A Nationwide Cohort Study
Yebin Park, Kyungdo Han
Korean Journal of Family Practice.2024; 14(2): 105. CrossRef
Impact of Antidiabetic Drugs on Clinical Outcomes of COVID-19: A Nationwide Population-Based Study
Han Na Jang, Sun Joon Moon, Jin Hyung Jung, Kyung-Do Han, Eun-Jung Rhee, Won-Young Lee
Endocrinology and Metabolism.2024; 39(3): 479. CrossRef
Association Between Benzene and Other Volatile Organic Compounds Exposure and Diabetes Mellitus Among Korean Adults: Findings from the Nationwide Biomonitoring Data
Seong-Uk Baek, Minseo Choi, Yu-Min Lee, Jin-Ha Yoon
Exposure and Health.2024;[Epub] CrossRef
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Min Seok Kim, Sang Jun Park, Kwangsic Joo, Se Joon Woo
Journal of Korean Medical Science.2024;[Epub] CrossRef
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Doeon Gu, Jinyeong Lim, Kyung Yeon Han, In-Ho Seo, Jae Hwan Jee, Soo Jin Cho, Yoon Ho Choi, Sung Chul Choi, Jang Hyun Koh, Jin-Young Lee, Mira Kang, Dong-Hyuk Jung, Woong-Yang Park
Frontiers in Endocrinology.2024;[Epub] CrossRef
Diabetes and Heart Failure: A Literature Review, Reflection and Outlook
Xiya Li, Xiaoyang Zhou, Ling Gao
Biomedicines.2024; 12(7): 1572. CrossRef
Korean National Burden of Disease: The Importance of Diabetes Management
Chung-Nyun Kim, Yoon-Sun Jung, Young-Eun Kim, Minsu Ock, Seok-Jun Yoon
Diabetes & Metabolism Journal.2024; 48(4): 518. CrossRef
Association of ABO genetic Polymorphisms and Type 2 Diabetes Mellitus Susceptibility in the Korean Population
Yu-Na Kim, Sung Won Lee, Sangwook Park
Biomedical Science Letters.2024; 30(2): 65. CrossRef
Impact of Education as a Social Determinant on the Risk of Type 2 Diabetes Mellitus in Korean Adults
Mi-Joon Lee, Bum-Jeun Seo, Yeon-Sook Kim
Healthcare.2024; 12(14): 1446. CrossRef
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Eun‐Jung Shim, Sang Jin Park, Gyu Hyeong Im, Ruth A. Hackett, Paola Zaninotto, Andrew Steptoe
British Journal of Health Psychology.2024;[Epub] CrossRef
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Jae Hyun Bae, Eun Hee Park, Hae Kyung Lee, Kun Ho Yoon, Kyu Chang Won, Hyun Mi Kim, Sin Gon Kim
Diabetes & Metabolism Journal.2024; 48(4): 790. CrossRef
Transcriptional regulation of multi-tissue mRNA expression by L-arabinose mitigates metabolic disorders in leptin receptor-deficient mice
Youngji Han, Yuri Jeong, Jin Hyup Lee, Seung Pil Pack
Food Bioscience.2024; 61: 104881. CrossRef
2023 Clinical Practice Guidelines for Diabetes Management in Korea: Full Version Recommendation of the Korean Diabetes Association
Jun Sung Moon, Shinae Kang, Jong Han Choi, Kyung Ae Lee, Joon Ho Moon, Suk Chon, Dae Jung Kim, Hyun Jin Kim, Ji A Seo, Mee Kyoung Kim, Jeong Hyun Lim, Yoon Ju Song, Ye Seul Yang, Jae Hyeon Kim, You-Bin Lee, Junghyun Noh, Kyu Yeon Hur, Jong Suk Park, Sang
Diabetes & Metabolism Journal.2024; 48(4): 546. CrossRef
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Heung Yong Jin, Tae Sun Park
Diabetes & Metabolism Journal.2024; 48(4): 709. CrossRef
Holistic and Personalized Strategies for Managing in Elderly Type 2 Diabetes Patients
Jae-Seung Yun, Kyuho Kim, Yu-Bae Ahn, Kyungdo Han, Seung-Hyun Ko
Diabetes & Metabolism Journal.2024; 48(4): 531. CrossRef
Efficacy of Daily Walking as a Potential Predictor of Improved Health-Related Quality of Life in Patients with Type 2 Diabetes in Korea
Wonil Park, Dongjun Lee
Healthcare.2024; 12(16): 1644. CrossRef
Prevalence, Awareness, Treatment, and Control of Type 2 Diabetes in South Korea (1998 to 2022): Nationwide Cross-Sectional Study
Wonwoo Jang, Seokjun Kim, Yejun Son, Soeun Kim, Hyeon Jin Kim, Hyesu Jo, Jaeyu Park, Kyeongmin Lee, Hayeon Lee, Mark A Tully, Masoud Rahmati, Lee Smith, Jiseung Kang, Selin Woo, Sunyoung Kim, Jiyoung Hwang, Sang Youl Rhee, Dong Keon Yon
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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Heashoon Lee
Journal of Korean Gerontological Nursing.2024; 26(3): 257. CrossRef
Financial Benefits of Renal Dose-Adjusted Dipeptidyl Peptidase-4 Inhibitors for Patients with Type 2 Diabetes and Chronic Kidney Disease
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Endocrinology and Metabolism.2024; 39(4): 622. CrossRef
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Applied Sciences.2024; 14(17): 7480. CrossRef
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Clinical Hypertension.2024;[Epub] CrossRef
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In‐Kyung Jeong, Kyung Mook Choi, Kyung Ah Han, Kyoung‐Ah Kim, In Joo Kim, Seung Jin Han, Won Young Lee, Soon Jib Yoo
Diabetes, Obesity and Metabolism.2024; 26(11): 5065. CrossRef
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Fatima Nari, Jae Kwan Jun, Kyoung Hee Oh, Wonjeong Jeong
Frontiers in Public Health.2024;[Epub] CrossRef
Pioglitazone as Add-on Therapy in Patients with Type 2 Diabetes Mellitus Inadequately Controlled with Dapagliflozin and Metformin: Double-Blind, Randomized, Placebo-Controlled Trial
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Diabetes & Metabolism Journal.2024; 48(5): 937. CrossRef
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Diabetes & Metabolism Journal.2024; 48(5): 915. CrossRef
Adherence to the nutritional recommendations according to diabetes status in Korean adults: a cross-sectional study
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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Joo-Hyun Park, Jung Yong Hong, Kyungdo Han, Young Suk Park, Joon Oh Park, Ho Yeong Lim, Jay J. Shen
European Journal of Cancer.2024; 213: 114312. CrossRef
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Diabetes, Obesity and Metabolism.2024;[Epub] CrossRef
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Hyunjee Kim, Seoyoung Park, Jaeyu Park, Yejun Son, Soeun Kim, Yesol Yim, Hyesu Jo, Kyeongmin Lee, Yi Deun Jeong, Jiyeon Oh, Hanseul Cho, Damiano Pizzol, Jiyoung Hwang, Lee Smith, Dong Keon Yon
Scientific Reports.2024;[Epub] CrossRef
1-Hour Postload Glucose: Early Screening for High Risk of Type 2 Diabetes in Koreans With Normal Fasting Glucose
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.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
Association between the duration of oral contraceptive use and the prevalence of type 2 diabetes mellitus: Korea National Health and Nutrition Examination Survey (KNHANES) 2007–2021
Mikyung Ryu
Korean Journal of Health Education and Promotion.2024; 41(3): 73. CrossRef
Insulin Resistance and Impaired Insulin Secretion Predict Incident Diabetes: A Statistical Matching Application to the Two Korean Nationwide, Population-Representative Cohorts
Hyemin Jo, Soyeon Ahn, Jung Hun Ohn, Cheol Min Shin, Eunjeong Ji, Donggil Kim, Sung Jae Jung, Joongyub Lee
Endocrinology and Metabolism.2024; 39(5): 711. CrossRef
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Yunmin Han, Younghwan Choi, Yeon Soo Kim
Clinical Hypertension.2024;[Epub] CrossRef
Association of relative handgrip strength on the development of diabetes mellitus in elderly Koreans
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
Paradigm shift from glucocentric to organ protection for the management of hyperglycemia in patients with type 2 diabetes
Jie-Eun Lee, Jong Chul Won
Cardiovascular Prevention and Pharmacotherapy.2024; 6(4): 116. CrossRef
당뇨병 치료의 진화: 관해를 향해가는 혁신적 약물치료와 첨단 관리기기의 결합
종한 최, 민경 문
Public Health Weekly Report.2024; 17(44): 1905. CrossRef
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Seongju Kim, Dong Jun Kim, Hooyeon Lee, Dong Keon Yon
PLOS ONE.2024; 19(11): e0313988. CrossRef
Trends in prescribing sodium‐glucose cotransporter 2 inhibitors for individuals with type 2 diabetes with and without cardiovascular‐renal disease in South Korea, 2015–2021
Kyoung Hwa Ha, Soyoung Shin, EunJi Na, Dae Jung Kim
Journal of Diabetes Investigation.2024;[Epub] CrossRef
Risk of Pancreatic Cancer and Use of Dipeptidyl Peptidase 4 Inhibitors in Patients with Type 2 Diabetes: A Propensity Score-Matching Analysis
Mee Kyoung Kim, Kyungdo Han, Hyuk-Sang Kwon, Soon Jib Yoo
Endocrinology and Metabolism.2023; 38(4): 426. CrossRef
Diabetes screening in South Korea: a new estimate of the number needed to screen to detect diabetes
Kyoung Hwa Ha, Kyung Ae Lee, Kyung-Do Han, Min Kyong Moon, Dae Jung Kim
The Korean Journal of Internal Medicine.2023; 38(1): 93. CrossRef
Sex differences in the impact of diabetes mellitus on tuberculosis recurrence: a retrospective national cohort study
Dararat Eksombatchai, Dawoon Jeong, Jeongha Mok, Doosoo Jeon, Hee-Yeon Kang, Hee Jin Kim, Hee-Sun Kim, Hongjo Choi, Young Ae Kang
International Journal of Infectious Diseases.2023; 127: 1. CrossRef
Response to Letter to the Editor From Han and Xu: “Association Between DPP4 Inhibitor Use and the Incidence of Cirrhosis, ESRD, and Some Cancers in Patients With Diabetes”
Dae Ho Lee
The Journal of Clinical Endocrinology & Metabolism.2023; 108(4): e58. CrossRef
Lipid Management in Korean People With Type 2 Diabetes Mellitus: Korean Diabetes Association and Korean Society of Lipid and Atherosclerosis Consensus Statement
Ye Seul Yang, Hack-Lyoung Kim, Sang-Hyun Kim, Min Kyong Moon
Journal of Lipid and Atherosclerosis.2023; 12(1): 12. CrossRef
Evaluation and Management of Patients With Diabetes and Heart Failure: A Korean Diabetes Association and Korean Society of Heart Failure Consensus Statement
Kyu-Sun Lee, Junghyun Noh, Seong-Mi Park, Kyung Mook Choi, Seok-Min Kang, Kyu-Chang Won, Hyun-Jai Cho, Min Kyong Moon
International Journal of Heart Failure.2023; 5(1): 1. CrossRef
Lipid Management in Korean People with Type 2 Diabetes Mellitus: Korean Diabetes Association and Korean Society of Lipid and Atherosclerosis Consensus Statement
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Diabetes & Metabolism Journal.2023; 47(1): 1. CrossRef
Evaluation and Management of Patients with Diabetes and Heart Failure: A Korean Diabetes Association and Korean Society of Heart Failure Consensus Statement
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Diabetes & Metabolism Journal.2023; 47(1): 10. CrossRef
Risk of type 2 diabetes mellitus in catholic priests compared with general public
Youngmi Eun, Sun Myeong Ock, Se-Hong Kim, Ju Hye Chung, Se Jin Park, Churlmin Kim, Min-Kyun Im, Kyung-do Han
Acta Diabetologica.2023; 60(5): 655. CrossRef
Blood pressure control and its associated factors in patients with hypertension and type 2 diabetes
Anan S Jarab, Walid Al-Qerem, Salam Alqudah, Shrouq R Abu Heshmeh, Tareq L Mukattash, Karem H Alzoubi
Electronic Journal of General Medicine.2023; 20(3): em477. CrossRef
Prevalence and associated factors of diabetes mellitus among patients with tuberculosis in South Korea from 2011 to 2018: a nationwide cohort study
Dawoon Jeong, Jeongha Mok, Doosoo Jeon, Hee-Yeon Kang, Hee Jin Kim, Hee-Sun Kim, Jeong Mi Seo, Hongjo Choi, Young Ae Kang
BMJ Open.2023; 13(3): e069642. CrossRef
The association between nutrition label utilization and disease management education among hypertension or diabetes diagnosed in Korea using 2018 Community Health Survey: a cross-sectional study
Miran Jin, Jayeun Kim, Kyuhyun Yoon
Korean Journal of Community Nutrition.2023; 28(1): 38. CrossRef
Insulin Fact Sheet in Type 1 and 2 Diabetes Mellitus and Trends of Antidiabetic Medication Use in Insulin Users with Type 2 Diabetes Mellitus: 2002 to 2019
Jiyun Park, Gyuri Kim, Bong-Sung Kim, Kyung-Do Han, So Yoon Kwon, So Hee Park, You-Bin Lee, Sang-Man Jin, Jae Hyeon Kim
Diabetes & Metabolism Journal.2023; 47(2): 211. CrossRef
Comparison of Operational Definition of Type 2 Diabetes Mellitus Based on Data from Korean National Health Insurance Service and Korea National Health and Nutrition Examination Survey
Jong Ha Baek, Yong-Moon Park, Kyung Do Han, Min Kyong Moon, Jong Han Choi, Seung-Hyun Ko
Diabetes & Metabolism Journal.2023; 47(2): 201. CrossRef
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Heeyoung Kim, Choon Ok Kim, Hyeonsoo Park, Min Soo Park, Dasohm Kim, Taegon Hong, Yesong Shin, Byung Hak Jin
Translational and Clinical Pharmacology.2023; 31(1): 59. CrossRef
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Seon Mee Kang, Han Mi Yun, Minji Sohn, Soo Lim
Diabetes, Obesity and Metabolism.2023; 25(7): 1922. CrossRef
Diabetes and Skin Disease
Jungah Lim
The Journal of Korean Diabetes.2023; 24(1): 29. CrossRef
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The Journal of Korean Diabetes.2023; 24(1): 1. CrossRef
Association between Sleep Duration and Incident Diabetes Mellitus in Healthy Subjects: A 14-Year Longitudinal Cohort Study
Jin ha Jang, Wonjin Kim, Jin Sil Moon, Eun Roh, Jun Goo Kang, Seong Jin Lee, Sung-Hee Ihm, Ji Hye Huh
Journal of Clinical Medicine.2023; 12(8): 2899. CrossRef
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Yohwan Lim, Hye Jun Kim, Sung Soo Yoon, Sang Jun Lee, Myeong Hoon Lee, Hyewon Park, Sun Jae Park, Seogsong Jeong, Hyun Wook Han
Journal of Korean Medical Science.2023;[Epub] CrossRef
Effects of Consuming Heat-Treated Dodamssal Brown Rice Containing Resistant Starch on Glucose Metabolism in Humans
Jiyoung Park, Sea-Kwan Oh, Miae Doo, Hyun-Jung Chung, Hyun-Jin Park, Hyejin Chun
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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.

Citations

Citations to this article as recorded by

Fasting glucose variability and risk of dementia in Parkinson’s disease: a 9-year longitudinal follow-up study of a nationwide cohort
Sung Hoon Kang, Yunjin Choi, Su Jin Chung, Seok-Joo Moon, Chi Kyung Kim, Ji Hyun Kim, Kyungmi Oh, Joon Shik Yoon, Sang Won Seo, Geum Joon Cho, Seong-Beom Koh
Frontiers in Aging Neuroscience.2024;[Epub] CrossRef
Effects of a Diabetic Microenvironment on Neurodegeneration: Special Focus on Neurological Cells
Vishal Chavda, Dhananjay Yadav, Snehal Patel, Minseok Song
Brain Sciences.2024; 14(3): 284. CrossRef
The relationship between diabetes and the dementia risk: a meta-analysis
Fang Cao, Fushuang Yang, Jian Li, Wei Guo, Chongheng Zhang, Fa Gao, Xinxin Sun, Yi Zhou, Wenfeng Zhang
Diabetology & Metabolic Syndrome.2024;[Epub] CrossRef
Effect of glucose variability on the mortality of adults aged 75 years and over during the first year of the COVID-19 pandemic
Miguel A. Salinero-Fort, F. Javier San Andrés-Rebollo, Juan Cárdenas-Valladolid, José Mostaza, Carlos Lahoz, Fernando Rodriguez-Artalejo, Paloma Gómez-Campelo, Pilar Vich-Pérez, Rodrigo Jiménez-García, José M. de-Miguel-Yanes, Javier Maroto-Rodriguez, Bel
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Association of remnant cholesterol with risk of dementia: a nationwide population-based cohort study in South Korea
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Glycated Hemoglobin A1c Time in Range and Dementia in Older Adults With Diabetes
Patricia C. Underwood, Libin Zhang, David C. Mohr, Julia C. Prentice, Richard E. Nelson, Andrew E. Budson, Paul R. Conlin
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Physiological Mechanisms Inherent to Diabetes Involved in the Development of Dementia: Alzheimer’s Disease
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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.

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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Abstract PDF Supplementary Material PubReader ePub

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.

Citations

Citations to this article as recorded by

Effects of a Diabetic Microenvironment on Neurodegeneration: Special Focus on Neurological Cells
Vishal Chavda, Dhananjay Yadav, Snehal Patel, Minseok Song
Brain Sciences.2024; 14(3): 284. CrossRef
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
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.

Citations

Citations to this article as recorded by

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
European Eating Disorders Review.2023; 31(6): 781. CrossRef
Adaptations of the balloon analog risk task for neuroimaging settings: a systematic review
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

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