Diabetes & Metabolism Journal

Editorial

Oldies but Goodies: Thiazolidinedione as an Insulin Sensitizer with Cardioprotection: Eun-Hee Cho; Diabetes Metab J. 2022;46(6):827-828. Published online November 24, 2022; DOI: https://doi.org/10.4093/dmj.2022.0372

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Diabetes: a review of its pathophysiology, and advanced methods of mitigation
Sarika Gupta, Nitin Sharma, Sandeep Arora, Saurabh Verma
Current Medical Research and Opinion.2024; : 1. CrossRef
Lobeglitazone, a novel thiazolidinedione, for secondary prevention in patients with ischemic stroke: a nationwide nested case-control study
Joonsang Yoo, Jimin Jeon, Minyoul Baik, Jinkwon Kim
Cardiovascular Diabetology.2023;[Epub] CrossRef
Molecular Processes Involved in the Shared Pathways between Cardiovascular Diseases and Diabetes
Julita Tokarek, Emilian Budny, Maciej Saar, Kamila Stańczak, Ewa Wojtanowska, Ewelina Młynarska, Jacek Rysz, Beata Franczyk
Biomedicines.2023; 11(10): 2611. CrossRef

Review

Guideline/Fact Sheet
Screening for Prediabetes and Diabetes in Korean Nonpregnant Adults: A Position Statement of the Korean Diabetes Association, 2022: Kyung Ae Lee, Dae Jung Kim, Kyungdo Han, Suk Chon, Min Kyong Moon, on Behalf of the Committee of Clinical Practice Guideline of Korean Diabetes Association; Diabetes Metab J. 2022;46(6):819-826. Published online November 24, 2022; DOI: https://doi.org/10.4093/dmj.2022.0364

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Diabetes screening serves to identify individuals at high-risk for diabetes who have not yet developed symptoms and to diagnose diabetes at an early stage. Globally, the prevalence of diabetes is rapidly increasing. Furthermore, obesity and/or abdominal obesity, which are major risk factors for type 2 diabetes mellitus (T2DM), are progressively increasing, particularly among young adults. Many patients with T2DM are asymptomatic and can accompany various complications at the time of diagnosis, as well as chronic complications develop as the duration of diabetes increases. Thus, proper screening and early diagnosis are essential for diabetes care. Based on reports on the changing epidemiology of diabetes and obesity in Korea, as well as growing evidence from new national cohort studies on diabetes screening, the Korean Diabetes Association has updated its clinical practice recommendations regarding T2DM screening. Diabetes screening is now recommended in adults aged ≥35 years regardless of the presence of risk factors, and in all adults (aged ≥19) with any of the risk factors. Abdominal obesity based on waist circumference (men ≥90 cm, women ≥85 cm) was added to the list of risk factors.

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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
Antioxidants.2024; 13(1): 107. 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
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
Cumulative muscle strength and risk of diabetes: A prospective cohort study with mediation analysis
Shanhu Qiu, Xue Cai, Yan Liang, Wenji Chen, Duolao Wang, Zilin Sun, Bo Xie, Tongzhi Wu
Diabetes Research and Clinical Practice.2023; 197: 110562. CrossRef
Revisiting the Diabetes Crisis in Korea: Call for Urgent Action
Jun Sung Moon
The Journal of Korean Diabetes.2023; 24(1): 1. CrossRef
2023 Clinical Practice Guidelines for Diabetes Mellitus of the Korean Diabetes Association
Jong Han Choi, Kyung Ae Lee, Joon Ho Moon, Suk Chon, Dae Jung Kim, Hyun Jin Kim, Nan Hee Kim, Ji A Seo, Mee Kyoung Kim, Jeong Hyun Lim, YoonJu Song, Ye Seul Yang, Jae Hyeon Kim, You-Bin Lee, Junghyun Noh, Kyu Yeon Hur, Jong Suk Park, Sang Youl Rhee, Hae J
Diabetes & Metabolism Journal.2023; 47(5): 575. CrossRef
2023 Clinical Practice Guidelines for Diabetes
Min Kyong Moon
The Journal of Korean Diabetes.2023; 24(3): 120. CrossRef

Corrigendum

New, Novel Lipid-Lowering Agents for Reducing Cardiovascular Risk: Beyond Statins: Kyuho Kim, Henry N. Ginsberg, Sung Hee Choi; Diabetes Metab J. 2022;46(5):817-818. Published online September 19, 2022; DOI: https://doi.org/10.4093/dmj.2022.0295; Corrects: Diabetes Metab J 2022;46(4):517

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Remnant Cholesterol, a Valuable Biomarker for Assessing Arteriosclerosis and Cardiovascular Risk: A Systematic Review
Xiang Chen, Li-Hua Li
Cureus.2023;[Epub] CrossRef

Response

Association between Type 2 Diabetes Mellitus and Brain Atrophy: A Meta-Analysis (Diabetes Metab J 2022;46:781-802): Tianqi Zhang, Marnie Shaw, Nicolas Cherbuin; Diabetes Metab J. 2022;46(5):815-816. Published online September 19, 2022; DOI: https://doi.org/10.4093/dmj.2022.0296; [Original]

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Current Insights on the Use of Insulin and the Potential Use of Insulin Mimetics in Targeting Insulin Signalling in Alzheimer’s Disease
Amy Woodfield, Tatiana Gonzales, Erik Helmerhorst, Simon Laws, Philip Newsholme, Tenielle Porter, Giuseppe Verdile
International Journal of Molecular Sciences.2022; 23(24): 15811. CrossRef

Letter

Association between Type 2 Diabetes Mellitus and Brain Atrophy: A Meta-Analysis (Diabetes Metab J 2022;46:781-802): Se Hee Min; Diabetes Metab J. 2022;46(5):813-814. Published online September 19, 2022; DOI: https://doi.org/10.4093/dmj.2022.0259; [Original]

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Brief Reports

Metabolic Risk/Epidemiology
Trends in the Prevalence of Obesity and Its Phenotypes Based on the Korea National Health and Nutrition Examination Survey from 2007 to 2017 in Korea: Sang Ouk Chin, You-Cheol Hwang, Hong-Yup Ahn, Ji Eun Jun, In-Kyung Jeong, Kyu Jeung Ahn, Ho Yeon Chung; Diabetes Metab J. 2022;46(5):808-812. Published online March 8, 2022; DOI: https://doi.org/10.4093/dmj.2021.0226

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This study used data from the Korea National Health and Nutrition Examination Survey IV–VII from 2007 to identify the prevalence of obesity and its phenotypes (metabolically unhealthy obesity [MUO] and metabolically healthy obesity [MHO]) and their secular changes. The prevalence of obesity in Korea increased with significant secular changes observed (β=0.326, P trend <0.01) between 2007 and 2017, and especially in men (β=0.682, P trend <0.001) but not in women. The changes in the prevalence of obesity during the study period were different between men and women (P=0.001). The prevalence of MUO significantly increased only in men (β=0.565, P trend <0.01), while that of MHO increased only in women (β=0.179, P<0.05), especially in the younger age group (β=0.308, P<0.01).

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Hormonal Gut–Brain Signaling for the Treatment of Obesity
Eun Roh, Kyung Mook Choi
International Journal of Molecular Sciences.2023; 24(4): 3384. CrossRef
Differences of Regional Fat Distribution Measured by Magnetic Resonance Imaging According to Obese Phenotype in Koreans
Ha-Neul Choi, Hyunjung Lim, Young-Seol Kim, Sang-Youl Rhee, Jung-Eun Yim
Metabolic Syndrome and Related Disorders.2022; 20(10): 551. CrossRef

Metabolic Risk/Epidemiology
Rising Incidence of Diabetes in Young Adults in South Korea: A National Cohort Study: Hyun Ho Choi, Giwoong Choi, Hojun Yoon, Kyoung Hwa Ha, Dae Jung Kim; Diabetes Metab J. 2022;46(5):803-807. Published online January 11, 2022; DOI: https://doi.org/10.4093/dmj.2021.0236

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We investigated the incidence of diagnosed diabetes in South Korean adults (aged ≥20 years) by analyzing data for the National Health Insurance Service–National Sample Cohort. From 2006 to 2015, the overall incidence rate of diagnosed diabetes decreased by approximately 0.1% per year until 2015. Although, this trend was observed in individuals aged 40 years or over, the rate increased slightly in the 20–29 and 30–39 years age groups, from 0.5 to 0.7 and 2.0 to 2.6 per 1,000 individuals, respectively. The proportion of obese young adults with diabetes increased remarkably, from 51.4% in 2006 to 72.4% in 2015. Thus, young adults need early identification and weight-control strategies to prevent diabetes.

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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
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Position Statement on the Appropriateness and Significance of Adding the Glycated Hemoglobin Test to the National Health Examination
Ji Hye Kim, Dae Jung Kim, Jaehyun Kim, Sangjoon Park, Kyunghoon Lee, Jun Goo Kang, Eu Jeong Ku, Su Kyoung Kwon, Won Jun Kim, Young Sang Lyu, Jang Won Son, Young Sil Eom, Kyung Ae Lee, Jeongrim Lee, Jung Min Lee, Jung Hwa Lee, Jung Hwa Jung, Hochan Cho, Da
The Journal of Korean Diabetes.2023; 24(4): 178. CrossRef
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
Diabetes & Metabolism Journal.2022; 46(3): 417. CrossRef
젊은 2형 당뇨병 환자의 관리
재현 배
Public Health Weekly Report.2022; 15(35): 2474. CrossRef
Screening for Prediabetes and Diabetes in Korean Nonpregnant Adults: A Position Statement of the Korean Diabetes Association, 2022
Kyung Ae Lee, Dae Jung Kim, Kyungdo Han, Suk Chon, Min Kyong Moon
Diabetes & Metabolism Journal.2022; 46(6): 819. CrossRef

Original Articles

Complication
Association between Type 2 Diabetes Mellitus and Brain Atrophy: A Meta-Analysis: Tianqi Zhang, Marnie Shaw, Nicolas Cherbuin; Diabetes Metab J. 2022;46(5):781-802. Published online March 8, 2022; DOI: https://doi.org/10.4093/dmj.2021.0189

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Background
Type 2 diabetes mellitus (T2DM) is known to be associated with cognitive decline and brain structural changes. This study systematically reviews and estimates human brain volumetric differences and atrophy associated with T2DM.
Methods
PubMed, PsycInfo and Cochrane Library were searched for brain imaging studies reporting on brain volume differences between individuals with T2DM and healthy controls. Data were examined using meta-analysis, and association between age, sex, diabetes characteristics and brain volumes were tested using meta-regression.
Results
A total of 14,605 entries were identified; after title, abstract and full-text screening applying inclusion and exclusion criteria, 64 studies were included and 42 studies with compatible data contributed to the meta-analysis (n=31,630; mean age 71.0 years; 44.4% male; 26,942 control; 4,688 diabetes). Individuals with T2DM had significantly smaller total brain volume, total grey matter volume, total white matter volume and hippocampal volume (approximately 1% to 4%); meta-analyses of smaller samples focusing on other brain regions and brain atrophy rate in longitudinal investigations also indicated smaller brain volumes and greater brain atrophy associated with T2DM. Meta-regression suggests that diabetes-related brain volume differences start occurring in early adulthood, decreases with age and increases with diabetes duration.
Conclusion
T2DM is associated with smaller total and regional brain volume and greater atrophy over time. These effects are substantial and highlight an urgent need to develop interventions to reduce the risk of T2DM for brain health.

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Diabetes, antidiabetic medications and risk of dementia: A systematic umbrella review and meta‐analysis
Alvin Kuate Defo, Veselko Bakula, Alessandro Pisaturo, Christopher Labos, Simon S. Wing, Stella S. Daskalopoulou
Diabetes, Obesity and Metabolism.2024; 26(2): 441. CrossRef
Cognitive deficits among people with schizophrenia and prediabetes or diabetes
Alexander Panickacheril John, Thynn Mya, Darren Haywood
Acta Psychiatrica Scandinavica.2024; 149(1): 65. CrossRef
The association of glucose metabolism measures and diabetes status with Alzheimer’s disease biomarkers of amyloid and tau: A systematic review and meta-analysis
Veerle van Gils, Marianna Rizzo, Jade Côté, Wolfgang Viechtbauer, Giuseppe Fanelli, Jordi Salas-Salvadó, Theresa Wimberley, Mònica Bulló, Fernando Fernandez-Aranda, Søren Dalsgaard, Pieter Jelle Visser, Willemijn J. Jansen, Stephanie J.B. Vos
Neuroscience & Biobehavioral Reviews.2024; 159: 105604. CrossRef
ECHDC3 Variant Regulates the Right Hippocampal Microstructural Integrity and Verbal Memory in Type 2 Diabetes Mellitus
Qiyu Zhao, Xin Du, Feng Liu, Yang Zhang, Wen Qin, Quan Zhang
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The hemodynamic response function as a type 2 diabetes biomarker: a data-driven approach
Pedro Guimarães, Pedro Serranho, João V. Duarte, Joana Crisóstomo, Carolina Moreno, Leonor Gomes, Rui Bernardes, Miguel Castelo-Branco
Frontiers in Neuroinformatics.2024;[Epub] CrossRef
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Keon-Joo Lee, Hee-Joon Bae
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Leslie Grasset, Eric Frison, Catherine Helmer, Gwénaëlle Catheline, Geneviève Chêne, Carole Dufouil
European Journal of Epidemiology.2024;[Epub] CrossRef
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Terry L. Davidson, Richard J. Stevenson
International Journal of Molecular Sciences.2024; 25(4): 1991. CrossRef
The gut microbiota‐astrocyte axis: Implications for type 2 diabetic cognitive dysfunction
Zi‐Han Li, Ya‐Yi Jiang, Cai‐Yi Long, Qian Peng, Ren‐Song Yue
CNS Neuroscience & Therapeutics.2023; 29(S1): 59. CrossRef
NHANES 2011–2014 Reveals Decreased Cognitive Performance in U.S. Older Adults with Metabolic Syndrome Combinations
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International Journal of Environmental Research and Public Health.2023; 20(7): 5257. CrossRef
People with Diabetes Have Poorer Self-Rated Health (SRH) and Diabetes Moderates the Association between Age and SRH
Weixi Kang, Antonio Malvaso
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Cognitive dysfunction in diabetes: abnormal glucose metabolic regulation in the brain
Shan Zhang, Yueying Zhang, Zhige Wen, YaNan Yang, Tianjie Bu, Xiangwei Bu, Qing Ni
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The psychological basis of hunger and its dysfunctions
Richard J Stevenson
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Association between Type 2 Diabetes Mellitus and Brain Atrophy: A Meta-Analysis (Diabetes Metab J 2022;46:781-802)
Tianqi Zhang, Marnie Shaw, Nicolas Cherbuin
Diabetes & Metabolism Journal.2022; 46(5): 815. CrossRef
Association between Type 2 Diabetes Mellitus and Brain Atrophy: A Meta-Analysis (Diabetes Metab J 2022;46:781-802)
Se Hee Min
Diabetes & Metabolism Journal.2022; 46(5): 813. CrossRef
MORPHOFUNCTIONAL CHANGES OF THE BRAIN IN DIABETES MELLITUS
A. V. Smirnov, A. I Bisinbekova, T. I Faibisovich
Journal of Volgograd State Medical University.2022; 19(3): 3. CrossRef

Complication
Waist Circumference and Body Mass Index Variability and Incident Diabetic Microvascular Complications: A Post Hoc Analysis of ACCORD Trial: Daniel Nyarko Hukportie, Fu-Rong Li, Rui Zhou, Jia-Zhen Zheng, Xiao-Xiang Wu, Xian-Bo Wu; Diabetes Metab J. 2022;46(5):767-780. Published online May 10, 2022; DOI: https://doi.org/10.4093/dmj.2021.0258

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Background
Obesity is associated with adverse health events among diabetic patients, however, the relationship between obesity fluctuation and risk of microvascular complications among this specific population is unclear. We aimed to examine the effect of waist circumference (WC) and body mass index (BMI) variability on the risk of diabetic microvascular outcome
Methods
Annually recorded anthropometric data in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) study was used to examine the association of WC and BMI variability defined as variability independent of mean, with the risk of microvascular outcomes, including neuropathy, nephropathy, and retinopathy. Cox proportional hazards models were used to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) (Trial registration: ClinicalTrials.gov., no. NCT00000620).
Results
There were 4,031, 5,369, and 2,601 cases of neuropathy, nephropathy, and retinopathy during a follow-up period of 22,524, 23,941, and 23,850 person-years, respectively. Higher levels of WC and BMI variability were associated with an increased risk of neuropathy. Compared with the lowest quartile, the fully-adjusted HR (95% CI) for the highest quartile of WC and BMI variability for neuropathy risk were 1.21 (1.05 to 1.40) and 1.16 (1.00 to 1.33), respectively. Also, higher quartiles of BMI variability but not WC variability were associated with increased risk of nephropathic events. The fully-adjusted HR (95% CI) for the highest quartile compared with the lowest quartile of BMI variability was 1.31 (1.18 to 1.46). However, the results for retinopathic events were all insignificant.
Conclusion
Among participants with type 2 diabetes mellitus, WC and BMI variability were associated with a higher risk of neuropathic events, whereas BMI variability was associated with an increased risk of nephropathic events.

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Association of body mass index and blood pressure variability with 10-year mortality and renal disease progression in type 2 diabetes
Stephen Fava, Sascha Reiff
Acta Diabetologica.2024;[Epub] CrossRef
Waist Circumference and Body Mass Index Variability and Incident Diabetic Microvascular Complications: A Post Hoc Analysis of ACCORD Trial (Diabetes Metab J 2022;46:767-80)
Yun Kyung Cho
Diabetes & Metabolism Journal.2023; 47(1): 147. CrossRef
Waist Circumference and Body Mass Index Variability and Incident Diabetic Microvascular Complications: A Post Hoc Analysis of ACCORD Trial (Diabetes Metab J 2022;46:767-80)
Daniel Nyarko Hukportie, Fu-Rong Li, Rui Zhou, Jia-Zhen Zheng, Xiao-Xiang Wu, Xian-Bo Wu
Diabetes & Metabolism Journal.2023; 47(1): 150. CrossRef
Weight variability and diabetes complications
Francesco Prattichizzo, Chiara Frigé, Rosalba La Grotta, Antonio Ceriello
Diabetes Research and Clinical Practice.2023; 199: 110646. CrossRef
Risk Factors for Diabetic Retinopathy in Latin America (Mexico) and the World: A Systematic Review and Meta-Analysis
Oscar Vivanco-Rojas, Sonia López-Letayf, Valentina Londoño-Angarita, Fátima Sofía Magaña-Guerrero, Beatriz Buentello-Volante, Yonathan Garfias
Journal of Clinical Medicine.2023; 12(20): 6583. CrossRef
Effects of body weight variability on risks of macro- and microvascular outcomes in individuals with type 2 diabetes: The Rio de Janeiro type 2 diabetes cohort
Claudia R.L. Cardoso, Nathalie C. Leite, Gil F. Salles
Diabetes Research and Clinical Practice.2023; 205: 110992. CrossRef
Correlation Between the Variability of Different Obesity Indices and Diabetic Kidney Disease: A Retrospective Cohort Study Based on Populations in Taiwan
Zhenzhen Sun, Kun Wang, Chuan Yun, Fang Bai, Xiaodan Yuan, Yaujiunn Lee, Qingqing Lou
Diabetes, Metabolic Syndrome and Obesity.2023; Volume 16: 2791. CrossRef
Unraveling shared risk factors for diabetic foot ulcer: a comprehensive Mendelian randomization analysis
Kangli Yin, Tianci Qiao, Yongkang Zhang, Jiarui Liu, Yuzhen Wang, Fei Qi, Junlin Deng, Cheng Zhao, Yongcheng Xu, Yemin Cao
BMJ Open Diabetes Research & Care.2023; 11(6): e003523. CrossRef

Metabolic Risk/Epidemiology
Synergistic Interaction between Hyperuricemia and Abdominal Obesity as a Risk Factor for Metabolic Syndrome Components in Korean Population: Min Jin Lee, Ah Reum Khang, Yang Ho Kang, Mi Sook Yun, Dongwon Yi; Diabetes Metab J. 2022;46(5):756-766. Published online January 20, 2022; DOI: https://doi.org/10.4093/dmj.2021.0166

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Background
The present study investigated the role of synergistic interaction between hyperuricemia and abdominal obesity as a risk factor for the components of metabolic syndrome.
Methods
We performed a cross-sectional study using the data of 16,094 individuals from the seventh Korean National Health and Nutrition Examination Survey (2016 to 2018). The adjusted odds ratios of metabolic syndrome and its components were analyzed by multivariate logistic regression analysis. The presence of synergistic interaction between hyperuricemia and abdominal obesity was evaluated by calculating the additive scales—the relative excess risk due to interaction, attributable proportion due to interaction, and synergy index (SI).
Results
There was a synergistic interaction between hyperuricemia and abdominal obesity in hypertriglyceridemia (men: SI, 1.39; 95% confidence interval [CI], 1.01 to 1.98; women: SI, 1.61; 95% CI, 1.02 to 2.69), and low high-density lipoprotein cholesterol (HDL-C) (men: SI, 2.03; 95% CI, 1.41 to 2.91; women: SI, 1.70; 95% CI, 1.05 to 2.95). There was no significant synergistic interaction between hyperuricemia and abdominal obesity for the risk of high blood pressure (men: SI, 1.22; 95% CI, 0.85 to 1.77; women: SI, 1.53; 95% CI, 0.79 to 2.97), and hyperglycemia (men: SI, 1.03; 95% CI, 0.72 to 1.47; women: SI, 1.39; 95% CI, 0.75 to 2.57).
Conclusion
Hyperuricemia and abdominal obesity synergistically increased the risk of hypertriglyceridemia and low HDL-C in both sexes.

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Prevalence and factors associated with overweight, obesity and central obesity among adults in Shenmu City, Shaanxi Province, China
Mingxia Liu, Chunjiao Jia, Yaoda Hu, Juan Liu, Lizhen Liu, Shengli Sun, Haiying Wang, Yonglin Liu
Preventive Medicine Reports.2024; 40: 102673. CrossRef
Synergistic interaction between hyperlipidemia and obesity as a risk factor for stress urinary incontinence in Americans
Fangyi Zhu, Mao Chen, Ya Xiao, Xiaoyu Huang, Liying Chen, Li Hong
Scientific Reports.2024;[Epub] CrossRef
The role of cognitive function in the relationship between surrogate markers of visceral fat and depressive symptoms in general middle-aged and elderly population: A nationwide population-based study
Na Zhang, Jianqian Chao, Xueyu Wu, Hongling Chen, Min Bao
Journal of Affective Disorders.2023; 338: 581. CrossRef
Biodegradation of Uric Acid by Bacillus paramycoides-YC02
Xiaoyu Cao, Jingyuan Cai, Yu Zhang, Chao Liu, Meijie Song, Qianqian Xu, Yang Liu, Hai Yan
Microorganisms.2023; 11(8): 1989. CrossRef
A predictive model for hyperuricemia among type 2 diabetes mellitus patients in Urumqi, China
Palizhati Abudureyimu, Yuesheng Pang, Lirun Huang, Qianqian Luo, Xiaozheng Zhang, Yifan Xu, Liang Jiang, Patamu Mohemaiti
BMC Public Health.2023;[Epub] CrossRef
Dietary Ferulic Acid Ameliorates Metabolism Syndrome-Associated Hyperuricemia in Rats via Regulating Uric Acid Synthesis, Glycolipid Metabolism, and Hepatic Injury
Nanhai Zhang, Jingxuan Zhou, Lei Zhao, Ou Wang, Liebing Zhang, Feng Zhou
Frontiers in Nutrition.2022;[Epub] CrossRef

Metabolic Risk/Epidemiology
Associations between Weight-Adjusted Waist Index and Abdominal Fat and Muscle Mass: Multi-Ethnic Study of Atherosclerosis: Ji Yoon Kim, Jimi Choi, Chantal A. Vella, Michael H. Criqui, Matthew A. Allison, Nam Hoon Kim; Diabetes Metab J. 2022;46(5):747-755. Published online March 30, 2022; DOI: https://doi.org/10.4093/dmj.2021.0294

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Background
The weight-adjusted waist index (WWI) reflected body compositional changes with aging. This study was to investigate the association of WWI with abdominal fat and muscle mass in a diverse race/ethnic population.
Methods
Computed tomography (CT) data from 1,946 participants for abdominal fat and muscle areas from the Multi-Ethnic Study of Atherosclerosis (785 Whites, 252 Asians, 406 African American, and 503 Hispanics) were used. Among them, 595 participants underwent repeated CT. The WWI was calculated as waist circumference (cm) divided by the square root of body weight (kg). The associations of WWI with abdominal fat and muscle measures were examined, and longitudinal changes in abdominal composition measures were compared.
Results
In all race/ethnic groups, WWI was positively correlated with total abdominal fat area (TFA), subcutaneous fat area, and visceral fat area, but negatively correlated with total abdominal muscle area (TMA) and abdominal muscle radiodensity (P<0.001 for all). WWI showed a linear increase with aging regardless of race and there were no significant differences in the WWI distribution between Whites, Asians, and African Americans. In longitudinal analyses, over 38.6 months of follow-up, all abdominal fat measures increased but muscle measures decreased, along with increase in WWI. The more the WWI increased, the more the TFA increased and the more the TMA decreased.
Conclusion
WWI showed positive associations with abdominal fat mass and negative associations with abdominal muscle mass, which likely reflects the abdominal compositional changes with aging in a multi-ethnic population.

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Meng Li, Xue Yu, Wenhui Zhang, Jiahui Yin, Lu Zhang, Guoshuai Luo, Yuanxiang Liu, Jiguo Yang
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Metabolic Risk/Epidemiology
Impact of Older Age Adiposity on Incident Diabetes: A Community-Based Cohort Study in China: Anthony Chen, Weiju Zhou, Jian Hou, Alan Nevill, Yuanlin Ding, Yuhui Wan, Rebecca Jester, Xia Qin, Zhi Hu, Ruoling Chen; Diabetes Metab J. 2022;46(5):733-746. Published online April 29, 2022; DOI: https://doi.org/10.4093/dmj.2021.0215

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Background
Obesity classifications vary globally and the impact of older age adiposity on incident diabetes has not been well-studied.
Methods
We examined a random sample of 2,809 participants aged ≥60 years in China, who were free of diabetes at baseline and were followed up for up to 10 years to document diabetes (n=178). The incidence of diabetes was assessed in relation to different cut-off points of body mass index (BMI) and waist circumference (WC) in multiple adjusted Cox regression models.
Results
The diabetic risk in the cohort increased linearly with the continuous and quartile variables of BMI and WC. The BMI-World Health Organization (WHO) and BMI-China criteria analysis did not show such a linear relationship, however, the BMI-Asian/Hong Kong criteria did; adjusted hazards ratio (HR) was 0.42 (95% confidence interval [CI], 0.20 to 0.90) in BMI <20 kg/m², 1.46 (95% CI, 0.99 to 2.14) in 23–≤26 kg/m², and 1.63 (95% CI, 1.09 to 2.45) in ≥26 kg/m². The WC-China criteria revealed a slightly better prediction of diabetes (adjusted HRs were 1.79 [95% CI, 1.21 to 2.66] and 1.87 [95% CI, 1.22 to 2.88] in central obese action levels 1 and 2) than the WC-WHO. The combination of the BMI-Asian/Hong Kong with WC-China demonstrated the strongest prediction. There were no gender differences in the impact of adiposity on diabetes.
Conclusion
In older Chinese, BMI-Asian/Hong Kong criteria is a better predictor of diabetes than other BMI criterion. Its combination with WC-China improved the prediction of adiposity to diabetes, which would help manage bodyweight in older age to reduce the risk of diabetes.

Citations

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Association of air pollution with dementia: a systematic review with meta-analysis including new cohort data from China
Jie Tang, Anthony Chen, Fan He, Martin Shipley, Alan Nevill, Hugh Coe, Zhi Hu, Tao Zhang, Haidong Kan, Eric Brunner, Xuguang Tao, Ruoling Chen
Environmental Research.2023; 223: 115048. CrossRef
Impact of fish consumption on all-cause mortality in older people with and without dementia: a community-based cohort study
Aishat T. Bakre, Anthony Chen, Xuguang Tao, Jian Hou, Yuyou Yao, Alain Nevill, James J. Tang, Sabine Rohrmann, Jindong Ni, Zhi Hu, John Copeland, Ruoling Chen
European Journal of Nutrition.2022; 61(7): 3785. CrossRef

Cardiovascular Risk/Epidemiology
Myocardial Infarction, Stroke, and All-Cause Mortality according to Low-Density Lipoprotein Cholesterol Level in the Elderly, a Nationwide Study: You-Bin Lee, Minji Koo, Eunjin Noh, Soon Young Hwang, Jung A Kim, Eun Roh, So-hyeon Hong, Kyung Mook Choi, Sei Hyun Baik, Geum Joon Cho, Hye Jin Yoo; Diabetes Metab J. 2022;46(5):722-732. Published online March 8, 2022; DOI: https://doi.org/10.4093/dmj.2021.0225

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Background
We assessed the myocardial infarction (MI), stroke, and all-cause death risks during follow-up according to the low-density lipoprotein cholesterol (LDL-C) levels among older adults.
Methods
The Korean National Health Insurance Service datasets (2002 to 2020) were used for this population-based cohort study. The hazards of MI, stroke, and all-cause mortality during follow-up were analyzed according to LDL-C level in individuals aged ≥65 years without baseline cardiovascular diseases (n=1,391,616).
Results
During a mean 7.55 years, 52,753 MIs developed; 84,224 strokes occurred over a mean 7.47 years. After a mean 8.50 years, 233,963 died. A decrease in LDL-C was associated with lower hazards of MI and stroke. The decreased hazard of stroke in lower LDL-C was more pronounced in statin users, and individuals with diabetes or obesity. The hazard of all-cause death during follow-up showed an inverted J-shaped pattern according to the LDL-C levels. However, the paradoxically increased hazard of mortality during follow-up in lower LDL-C was attenuated in statin users and individuals with diabetes, hypertension, or obesity. In statin users, lower LDL-C was associated with a decreased hazard of mortality during follow-up.
Conclusion
Among the elderly, lower LDL-C was associated with decreased risks of MI and stroke. Lower LDL-C achieved by statins in the elderly was associated with a decreased risk of all-cause death during follow-up, suggesting that LDL-C paradox for the premature death risk in the elderly should not be applied to statin users. Intensive statin therapy should not be hesitated for older adults with cardiovascular risk factors including diabetes.

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Combination of low- or moderate-intensity statin and ezetimibe vs. high-intensity statin monotherapy on primary prevention of cardiovascular disease and all-cause death: a propensity-matched nationwide cohort study
Ji Eun Jun, In-Kyung Jeong, Kyu Jeong Ahn, Ho Yeon Chung, You-Cheol Hwang
European Journal of Preventive Cardiology.2024;[Epub] CrossRef
Associations of Low-density Lipoprotein Cholesterol With All-cause and Cause-specific Mortality in Older Adults in China
Wenqing Ni, Yuebin Lv, Xueli Yuan, Yan Zhang, Hongmin Zhang, Yijing Zheng, Xiaoming Shi, Jian Xu
The Journal of Clinical Endocrinology & Metabolism.2024;[Epub] CrossRef
The relationship of low-density lipoprotein cholesterol and all-cause or cardiovascular mortality in patients with type 2 diabetes: a retrospective study
Chin-Huan Chang, Shu-Tin Yeh, Seng-Wei Ooi, Chung-Yi Li, Hua-Fen Chen
PeerJ.2023; 11: e14609. CrossRef
ERCC1 polymorphism and its expression associated with ischemic stroke in Chinese population
Xiao-Dong Deng, Jian-Lin Ke, Tai-Yu Chen, Qin Gao, Zhuo-Lin Zhao, Wei Zhang, Huan Liu, Ming-Liang Xiang, Li-Zhen Wang, Ying Ma, Yun Liu
Frontiers in Neurology.2023;[Epub] CrossRef
New, Novel Lipid-Lowering Agents for Reducing Cardiovascular Risk: Beyond Statins
Kyuho Kim, Henry N. Ginsberg, Sung Hee Choi
Diabetes & Metabolism Journal.2022; 46(4): 517. CrossRef
Association between the Diabetes Drug Cost and Cardiovascular Events and Death in Korea: A National Health Insurance Service Database Analysis
Seung Min Chung, Ji-In Lee, Eugene Han, Hyun-Ae Seo, Eonju Jeon, Hye Soon Kim, Ji Sung Yoon
Endocrinology and Metabolism.2022; 37(5): 759. CrossRef

Technology/Device
Glucose Profiles Assessed by Intermittently Scanned Continuous Glucose Monitoring System during the Perioperative Period of Metabolic Surgery: Kyuho Kim, Sung Hee Choi, Hak Chul Jang, Young Suk Park, Tae Jung Oh; Diabetes Metab J. 2022;46(5):713-721. Published online January 24, 2022; DOI: https://doi.org/10.4093/dmj.2021.0164

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Background
Continuous glucose monitoring (CGM) has been widely used in the management of diabetes. However, the usefulness and detailed data during perioperative status were not well studied. In this study, we described the immediate changes of glucose profiles after metabolic surgery using intermittently scanned CGM (isCGM) in individuals with type 2 diabetes mellitus (T2DM).
Methods
This was a prospective, single-center, single-arm study including 20 participants with T2DM. The isCGM (FreeStyle Libre CGM) implantation was performed within 2 weeks before surgery. We compared CGM metrics of 3 days before surgery and 3 days after surgery, and performed the correlation analyses with clinical variables.
Results
The mean glucose significantly decreased after surgery (147.0±40.4 to 95.5±17.1 mg/dL, P<0.001). Time in range (TIR; 70 to 180 mg/dL) did not significantly change after surgery in total. However, it was significantly increased in a subgroup of individuals with glycosylated hemoglobin (HbA1c) ≥8.0%. Time above range (>250 or 180 mg/dL) was significantly decreased in total. In contrast, time below range (<70 or 54 mg/dL) was significantly increased in total and especially in a subgroup of individuals with HbA1c <8.0% after surgery. The coefficient of variation significantly decreased after surgery. Higher baseline HbA1c was correlated with greater improvement in TIR (rho=0.607, P=0.005).
Conclusion
The isCGM identified improvement of mean glucose and glycemic variability, and increase of hypoglycemia after metabolic surgery, but TIR was not significantly changed after surgery. We detected an increase of TIR only in individuals with HbA1c ≥8.0%.

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Comparative Effect of Glucose-Lowering Drugs for Type 2 Diabetes Mellitus on Stroke Prevention: A Systematic Review and Network Meta-Analysis
Ji Soo Kim, Gyeongsil Lee, Kyung-Il Park, Seung-Won Oh
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Use of Continuous Glucose Monitoring in Patients Following Bariatric Surgery: A Scoping Review
Yang Yu, Susan W. Groth
Obesity Surgery.2023; 33(8): 2573. CrossRef
Asymptomatic Hypoglycemia after Metabolic Surgery: New Insights from Perioperative Continuous Glucose Monitoring
Sang-Man Jin
Diabetes & Metabolism Journal.2022; 46(5): 675. CrossRef

Drug/Regimen
Real-World Prescription Patterns and Barriers Related to the Use of Sodium-Glucose Cotransporter 2 Inhibitors among Korean Patients with Type 2 Diabetes Mellitus and Cardiovascular Disease: Jong Ha Baek, Ye Seul Yang, Seung-Hyun Ko, Kyung Do Han, Jae Hyeon Kim, Min Kyong Moon, Jong Suk Park, Byung-Wan Lee, Tae Jung Oh, Suk Chon, Jong Han Choi, Kyu Yeon Hur, Committee of Clinical Practice Guidelines, Korean Diabetes Association; Diabetes Metab J. 2022;46(5):701-712. Published online June 3, 2022; DOI: https://doi.org/10.4093/dmj.2022.0002

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Background
To evaluate prescription trends and clinical factors of the sodium-glucose cotransporter 2 inhibitors (SGLT2i) use according to the presence of atherosclerotic cardiovascular disease (ASCVD) or heart failure (HF) in Korean patients with type 2 diabetes mellitus (T2DM).
Methods
Prescription patterns of SGLT2i use between 2015 and 2019 were determined using the Korean National Health Insurance Service database of claims.
Results
Of all patients with T2DM (n=4,736,493), the annual prescription rate of SGLT2i increased every year in patients with ASCVD (from 2.2% to 10.7%) or HF (from 2.0% to 11.1%). After the first hospitalization for ASCVD (n=518,572), 13.7% (n=71,259) of patients initiated SGLT2i with a median of 10.6 months. After hospitalization for HF (n=372,853), 11.2% (n=41,717) of patients initiated SGLT2i after a median of 8.8 months. In multivariate regression for hospitalization, older age (per 10 years, odds ratio [OR], 0.57; 95% confidence interval [CI], 0.56 to 0.57), lower household income (OR, 0.93; 95% CI, 0.92 to 0.95), rural residents (OR, 0.95; 95% CI, 0.93 to 0.97), and dipeptidyl peptidase-4 inhibitor (DPP-4i) users (OR, 0.82; 95% CI, 0.81 to 0.84) were associated with lesser initiation of SGLT2i in ASCVD. Additionally, female gender (OR, 0.97; 95% CI, 0.95 to 0.99) was associated with lesser initiation of SGLT2i in HF.
Conclusion
The prescription rate of SGLT2i increased gradually up to 2019 but was suboptimal in patients with ASCVD or HF. After the first hospitalization for ASCVD or HF, older age, female gender, low household income, rural residents, and DPP-4i users were less likely to initiate SGLT2i.

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Effectiveness and safety of sodium–glucose cotransporter 2 inhibitors in Asian populations
Kyoung Hwa Ha, Dae Jung Kim
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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
Hospital Readmissions for Fluid Overload among Individuals with Diabetes and Diabetic Kidney Disease: Risk Factors and Multivariable Prediction Models
Jiashen Cai, Dorothy Huang, Hanis Binte Abdul Kadir, Zhihua Huang, Li Choo Ng, Andrew Ang, Ngiap Chuan Tan, Yong Mong Bee, Wei Yi Tay, Chieh Suai Tan, Cynthia C. Lim
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Prescribing patterns of SGLT-2 inhibitors for patients with heart failure: A two-center analysis
Teja Chakrala, Roshni O. Prakash, Justin Kim, Hanzhi Gao, Umar Ghaffar, Jaymin Patel, Alex Parker, Bhagwan Dass
American Heart Journal Plus: Cardiology Research and Practice.2023; 28: 100286. CrossRef
Risk of developing chronic kidney disease in young-onset Type 2 diabetes in Korea
Joonyub Lee, Seung-Hwan Lee, Kun-Ho Yoon, Jae Hyoung Cho, Kyungdo Han, Yeoree Yang
Scientific Reports.2023;[Epub] CrossRef
Comparison of SGLT2 inhibitors with DPP-4 inhibitors combined with metformin in patients with acute myocardial infarction and diabetes mellitus
Young Sang Lyu, Seok Oh, Jin Hwa Kim, Sang Yong Kim, Myung Ho Jeong
Cardiovascular Diabetology.2023;[Epub] CrossRef
Severe hypoglycemia as a risk factor for cardiovascular outcomes in patients with type 2 diabetes: is it preventable?
Seung-Hyun Ko
Cardiovascular Prevention and Pharmacotherapy.2022; 4(3): 106. CrossRef
Association between the Diabetes Drug Cost and Cardiovascular Events and Death in Korea: A National Health Insurance Service Database Analysis
Seung Min Chung, Ji-In Lee, Eugene Han, Hyun-Ae Seo, Eonju Jeon, Hye Soon Kim, Ji Sung Yoon
Endocrinology and Metabolism.2022; 37(5): 759. CrossRef

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