Endocrinology and Metabolism

Original Articles

Intake of Fruit and Glycemic Control in Korean Patients with Diabetes Mellitus Using the Korea National Health and Nutrition Examination Survey: Eunju Yoon, Ji Cheol Bae, Sunghwan Suh; Received May 8, 2023 Accepted July 24, 2023 Published online August 8, 2023; DOI: https://doi.org/10.3803/EnM.2023.1730 [Epub ahead of print]

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Abstract PDF PubReader ePub Crossref - TDM: Background
Despite the well-recognized health benefits of fresh fruit consumption, there is still substantial uncertainty about its potential effects on glycemic control in patients with type 2 diabetes mellitus (T2DM).
Methods
We examined the association of fresh fruit consumption and glycemic control in patients with T2DM using data from the 6th Korea National Health and Nutrition Examination Survey. The study sample was divided into three groups based on weekly fruit consumption frequency for the analysis.
Results
Patients with the highest fruit intake were older than those in the other two groups, and women were more likely to consume fruits in general. Being a current smoker and weekly alcohol intake also showed negative correlations according to the fruit intake tertiles. Fruit consumption was positively correlated with better hemoglobin A1c (HbA1c) levels. Moreover, patients in the highest tertile of fruit intake were 3.48 times more likely to be in good glycemic control defined as HbA1c <7%.
Conclusion
We observed that fruit consumption can be helpful in glycemic control in Korean patients with T2DM.

Diabetes, obesity and metabolism
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; Endocrinol Metab. 2023;38(4):426-435. Published online July 20, 2023; DOI: https://doi.org/10.3803/EnM.2023.1737

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Abstract PDF Supplementary Material PubReader ePub Crossref - TDM: Background
The effects of dipeptidyl peptidase 4 (DPP-4) inhibitors over the course of long-term treatment remain unclear, and concerns have been raised regarding the role of DPP-4 inhibitors in carcinogenesis in the pancreas. Earlier studies of pancreatic adverse events have reported conflicting results.
Methods
This study analyzed Korean National Health Insurance Service data from January 2009 to December 2012. Patients who had type 2 diabetes mellitus and took two or more oral glucose-lowering drugs (GLDs) were included. Patients prescribed DPP-4 inhibitors (n=51,482) or other GLDs (n=51,482) were matched at a 1:1 ratio using propensity score matching. The risk of pancreatic cancer was calculated using Kaplan-Meier curves and Cox proportional-hazards regression analysis.
Results
During a median follow-up period of 7.95 years, 1,051 new cases of pancreatic cancer were identified. The adjusted hazard ratio (HR) for DPP-4 inhibitor use was 0.99 (95% confidence interval [CI], 0.88 to 1.12) compared with the other GLD group. In an analysis limited to cases diagnosed with pancreatic cancer during hospitalization, the adjusted HR for the use of DPP-4 inhibitors was 1.00 (95% CI, 0.86 to 1.17) compared with patients who took other GLDs. Using the other GLD group as the reference group, no trend was observed for elevated pancreatic cancer risk with increased DPP-4 inhibitor exposure.
Conclusion
In this population-based cohort study, DPP-4 inhibitor use over the course of relatively long-term follow-up showed no significant association with an elevated risk of pancreatic cancer.

Diabetes, obesity and metabolism
Efficacy of Gemigliptin Add-on to Dapagliflozin and Metformin in Type 2 Diabetes Patients: A Randomized, Double-Blind, Placebo-Controlled Study (SOLUTION): Byung Wan Lee, KyungWan Min, Eun-Gyoung Hong, Bon Jeong Ku, Jun Goo Kang, Suk Chon, Won-Young Lee, Mi Kyoung Park, Jae Hyeon Kim, Sang Yong Kim, Keeho Song, Soon Jib Yoo; Endocrinol Metab. 2023;38(3):328-337. Published online June 28, 2023; DOI: https://doi.org/10.3803/EnM.2023.1688

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Abstract PDF Supplementary Material PubReader ePub Crossref - TDM: Background
This study evaluated the efficacy and safety of add-on gemigliptin in patients with type 2 diabetes mellitus (T2DM) who had inadequate glycemic control with metformin and dapagliflozin.
Methods
In this randomized, placebo-controlled, parallel-group, double-blind, phase III study, 315 patients were randomized to receive either gemigliptin 50 mg (n=159) or placebo (n=156) with metformin and dapagliflozin for 24 weeks. After the 24-week treatment, patients who received the placebo were switched to gemigliptin, and all patients were treated with gemigliptin for an additional 28 weeks.
Results
The baseline characteristics were similar between the two groups, except for body mass index. At week 24, the least squares mean difference (standard error) in hemoglobin A1c (HbA1c) changes was –0.66% (0.07) with a 95% confidence interval of –0.80% to –0.52%, demonstrating superior HbA1c reduction in the gemigliptin group. After week 24, the HbA1c level significantly decreased in the placebo group as gemigliptin was administered, whereas the efficacy of HbA1c reduction was maintained up to week 52 in the gemigliptin group. The safety profiles were similar: the incidence rates of treatment-emergent adverse events up to week 24 were 27.67% and 29.22% in the gemigliptin and placebo groups, respectively. The safety profiles after week 24 were similar to those up to week 24 in both groups, and no new safety findings, including hypoglycemia, were noted.
Conclusion
Add-on gemigliptin was well tolerated, providing comparable safety profiles and superior efficacy in glycemic control over placebo for long-term use in patients with T2DM who had poor glycemic control with metformin and dapagliflozin.

Review Article

Calcium & bone metabolism
Skeletal Senescence with Aging and Type 2 Diabetes: Joshua Nicholas Farr; Endocrinol Metab. 2023;38(3):295-301. Published online June 14, 2023; DOI: https://doi.org/10.3803/EnM.2023.1727

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Abstract PDF PubReader ePub Crossref - TDM: Osteoporosis and type 2 diabetes (T2D) are common diseases that often coexist. While both of these diseases are associated with poor bone quality and increased fracture risk, their pathogenesis of increased fracture risk differs and is multifactorial. Mounting evidence now indicates that key fundamental mechanisms that are central to both aging and energy metabolism exist. Importantly, these mechanisms represent potentially modifiable therapeutic targets for interventions that could prevent or alleviate multiple complications of osteoporosis and T2D, including poor bone quality. One such mechanism that has gained increasing momentum is senescence, which is a cell fate that contributes to multiple chronic diseases. Accumulating evidence has established that numerous boneresident cell types become susceptible to cellular senescence with old age. Recent work also demonstrates that T2D causes the premature accumulation of senescent osteocytes during young adulthood, at least in mice, although it remains to be seen which other bone-resident cell types become senescent with T2D. Given that therapeutically removing senescent cells can alleviate age-related bone loss and T2D-induced metabolic dysfunction, it will be important in future studies to rigorously test whether interventions that eliminate senescent cells can also alleviate skeletal dysfunction in context of T2D, as it does with aging.

Original Articles

Diabetes, obesity and metabolism
Association between Serum Amyloid A Levels and Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis: Ting Liu, Meng Li, Chunying Cui, Jielin Zhou; Endocrinol Metab. 2023;38(3):315-327. Published online June 7, 2023; DOI: https://doi.org/10.3803/EnM.2023.1621

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Abstract PDF PubReader ePub Crossref - TDM: Background
To date, consistent data have not been reported on the association between serum amyloid A (SAA) levels and type 2 diabetes mellitus (T2DM). The purpose of this study was to systematically summarize their relationship.
Methods
Databases including PubMed, Cochrane Library, Embase, Web of Science, and MEDLINE were searched until August 2021. Cross-sectional and case-control studies were included.
Results
Twenty-one studies with 1,780 cases and 2,070 controls were identified. SAA levels were significantly higher in T2DM patients than in healthy groups (standardized mean difference [SMD], 0.68; 95% confidence interval [CI], 0.39 to 0.98). A subgroup analysis showed that the mean age of participants and the continent that participants were from were related to differences in SAA levels between cases and controls. Furthermore, in T2DM patients, SAA levels were positively associated with body mass index (r=0.34; 95% CI, 0.03 to 0.66), triglycerides (r=0.12; 95% CI, 0.01 to 0.24), fasting plasma glucose (r=0.26; 95% CI, 0.07 to 0.45), hemoglobin A1c (r=0.24; 95% CI, 0.16 to 0.33), homeostasis model assessment for insulin resistance (r=0.22; 95% CI, 0.10 to 0.34), C-reactive protein (r=0.77; 95% CI, 0.62 to 0.91), and interleukin-6 (r=0.42; 95% CI, 0.31 to 0.54), but negatively linked with highdensity lipoprotein cholesterol (r=–0.23; 95% CI, –0.44 to –0.03).
Conclusion
The meta-analysis suggests that high SAA levels may be associated with the presence of T2DM, as well as lipid metabolism homeostasis and the inflammatory response.

Diabetes, obesity and metabolism
Effects of Weight Loss and Interaction with Physical Activity on Risks of Cardiovascular Outcomes in Individuals with Type 2 Diabetes: Claudia R. L. Cardoso, Nathalie C. Leite, Gil F. Salles; Endocrinol Metab. 2023;38(3):305-314. Published online May 31, 2023; DOI: https://doi.org/10.3803/EnM.2023.1690

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Abstract PDF Supplementary Material PubReader ePub Crossref - TDM

Background
This study investigated the effects of weight loss during follow-up on cardiovascular outcomes in a type 2 diabetes cohort and tested interactions with clinical and laboratory variables, particularly physical activity, that could impact the associations.
Methods
Relative weight changes were assessed in 651 individuals with type 2 diabetes and categorized as ≥5% loss, <5% loss, or gain. Associations between weight loss categories and incident cardiovascular outcomes (total cardiovascular events [CVEs], major adverse cardiovascular events [MACEs], and cardiovascular mortality) were assessed using multivariable Cox regression with interaction analyses.
Results
During the initial 2 years, 125 individuals (19.2%) lost ≥5% of their weight, 180 (27.6%) lost <5%, and 346 (53.1%) gained weight. Over a median additional follow-up of 9.3 years, 188 patients had CVEs (150 MACEs) and 106 patients died from cardiovascular causes. Patients with ≥5% weight loss had a significantly lower risk of total CVEs (hazard ratio [HR], 0.52; 95% confidence interval, 0.33 to 0.89; P=0.011) than those who gained weight, but non-significant lower risks of MACEs or cardiovascular deaths. Patients with <5% weight loss had risks similar to those with weight gain. There were interactions between weight loss and physical activity. In active individuals, ≥5% weight loss was associated with significantly lower risks for total CVEs (HR, 0.20; P=0.004) and MACEs (HR, 0.21; P=0.010), whereas in sedentary individuals, no cardiovascular protective effect of weight loss was evidenced.
Conclusion
Weight loss ≥5% may be beneficial for cardiovascular disease prevention, particularly when achieved with regular physical activity, even in high-risk individuals with long-standing type 2 diabetes.

Citations

Citations to this article as recorded by

Cardiovascular Risk Reduction in Type 2 Diabetes: Further Insights into the Power of Weight Loss and Exercise
Seung-Hwan Lee
Endocrinology and Metabolism.2023; 38(3): 302. CrossRef

Diabetes, obesity and metabolism Big Data Articles (National Health Insurance Service Database)
Risk for Newly Diagnosed Type 2 Diabetes Mellitus after COVID-19 among Korean Adults: A Nationwide Matched Cohort Study: Jong Han Choi, Kyoung Min Kim, Keeho Song, Gi Hyeon Seo; Endocrinol Metab. 2023;38(2):245-252. Published online April 5, 2023; DOI: https://doi.org/10.3803/EnM.2023.1662

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Abstract PDF PubReader ePub Crossref - TDM

Background
Coronavirus disease 2019 (COVID-19) can cause various extrapulmonary sequelae, including diabetes. However, it is unclear whether these effects persist 30 days after diagnosis. Hence, we investigated the incidence of newly diagnosed type 2 diabetes mellitus (T2DM) in the post-acute phase of COVID-19.
Methods
This cohort study used data from the Health Insurance Review and Assessment Service, a representative national healthcare database in Korea. We established a cohort of 348,180 individuals diagnosed with COVID-19 without a history of diabetes between January 2020 and September 2021. The control group consisted of sex- and age-matched individuals with neither a history of diabetes nor COVID-19. We assessed the hazard ratios (HR) of newly diagnosed T2DM patients with COVID-19 compared to controls, adjusted for age, sex, and the presence of hypertension and dyslipidemia.
Results
In the post-acute phase, patients with COVID-19 had an increased risk of newly diagnosed T2DM compared to those without COVID-19 (adjusted HR, 1.30; 95% confidence interval [CI], 1.27 to 1.33). The adjusted HRs of non-hospitalized, hospitalized, and intensive care unit-admitted patients were 1.14 (95% CI, 1.08 to 1.19), 1.34 (95% CI, 1.30 to 1.38), and 1.78 (95% CI, 1.59 to 1.99), respectively. The risk of T2DM in patients who were not administered glucocorticoids also increased (adjusted HR, 1.29; 95% CI, 1.25 to 1.32).
Conclusion
COVID-19 may increase the risk of developing T2DM beyond the acute period. The higher the severity of COVID-19 in the acute phase, the higher the risk of newly diagnosed T2DM. Therefore, T2DM should be included as a component of managing long-term COVID-19.

Citations

Citations to this article as recorded by

Pituitary Diseases and COVID-19 Outcomes in South Korea: A Nationwide Cohort Study
Jeonghoon Ha, Kyoung Min Kim, Dong-Jun Lim, Keeho Song, Gi Hyeon Seo
Journal of Clinical Medicine.2023; 12(14): 4799. CrossRef

Namgok Lecture 2022

Diabetes, Obesity and Metabolism
Incretin and Pancreatic β-Cell Function in Patients with Type 2 Diabetes: Chang Ho Ahn, Tae Jung Oh, Se Hee Min, Young Min Cho; Endocrinol Metab. 2023;38(1):1-9. Published online February 13, 2023; DOI: https://doi.org/10.3803/EnM.2023.103

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Abstract PDF PubReader ePub Crossref - TDM: To maintain normal glucose homeostasis after a meal, it is essential to secrete an adequate amount of insulin from pancreatic β-cells. However, if pancreatic β-cells solely depended on the blood glucose level for insulin secretion, a surge in blood glucose levels would be inevitable after the ingestion of a large amount of carbohydrates. To avoid a deluge of glucose in the bloodstream after a large carbohydrate- rich meal, enteroendocrine cells detect the amount of nutrient absorption from the gut lumen and secrete incretin hormones at scale. Since insulin secretion in response to incretin hormones occurs only in a hyperglycemic milieu, pancreatic β-cells can secrete a “Goldilocks” amount of insulin (i.e., not too much and not too little) to keep the blood glucose level in the normal range. In this regard, pancreatic β-cell sensitivity to glucose and incretin hormones is crucial for maintaining normal glucose homeostasis. In this Namgok lecture 2022, we review the effects of current anti-diabetic medications on pancreatic β-cell sensitivity to glucose and incretin hormones.

Review Article

Diabetes, Obesity and Metabolism
Glucagon-Like Peptide 1 Therapy: From Discovery to Type 2 Diabetes and Beyond: Adie Viljoen, Stephen C. Bain; Endocrinol Metab. 2023;38(1):25-33. Published online February 6, 2023; DOI: https://doi.org/10.3803/EnM.2022.1642

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Abstract PDF PubReader ePub Crossref - TDM

The therapeutic benefits of the incretin hormone, glucagon-like peptide 1 (GLP1), for people with type 2 diabetes and/or obesity, are now firmly established. The evidence-base arising from head-to-head comparative effectiveness studies in people with type 2 diabetes, as well as the recommendations by professional guidelines suggest that GLP1 receptor agonists should replace more traditional treatment options such as sulfonylureas and dipeptidyl-peptidase 4 (DPP4) inhibitors. Furthermore, their benefits in reducing cardiovascular events in people with type 2 diabetes beyond improvements in glycaemic control has led to numerous clinical trials seeking to translate this benefit beyond type 2 diabetes. Following early trial results their therapeutic benefit is currently being tested in other conditions including fatty liver disease, kidney disease, and Alzheimer’s disease.

Citations

Citations to this article as recorded by

Glucagon-like peptide 1 receptor agonists: cardiovascular benefits and mechanisms of action
John R. Ussher, Daniel J. Drucker
Nature Reviews Cardiology.2023; 20(7): 463. CrossRef
A new class of glucose-lowering therapy for type 2 diabetes: the latest development in the incretin arena
Stephen C Bain, Thinzar Min
The Lancet.2023; 402(10401): 504. CrossRef

Original Article

Diabetes, Obesity and Metabolism
Sleep Duration and the Risk of Type 2 Diabetes: A Community-Based Cohort Study with a 16-Year Follow-up: Da Young Lee, Inha Jung, So Young Park, Ji Hee Yu, Ji A Seo, Kyeong Jin Kim, Nam Hoon Kim, Hye Jin Yoo, Sin Gon Kim, Kyung Mook Choi, Sei Hyun Baik, Seung Ku Lee, Chol Shin, Nan Hee Kim; Endocrinol Metab. 2023;38(1):146-155. Published online February 6, 2023; DOI: https://doi.org/10.3803/EnM.2022.1582

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Abstract PDF PubReader ePub Crossref - TDM

Background
We aimed to investigate the moderating effects of obesity, age, and sex on the association between sleep duration and the development of diabetes in Asians.
Methods
We analyzed data from a cohort of the Korean Genome and Epidemiology Study conducted from 2001 to 2020. After excluding shift workers and those with diabetes at baseline, 7,407 participants were stratified into three groups according to sleep duration: ≤5 hours/night, >5 to 7 hours/night (reference), and >7 hours/night. The Cox proportional hazards analyses were used to calculate the hazard ratios (HRs) and 95% confidence intervals (CIs) for incident type 2 diabetes mellitus (T2DM). Subgroup analyses were performed according to obesity, age, and sex.
Results
During 16 years of follow-up, 2,024 cases of T2DM were identified. Individuals who slept ≤5 h/night had a higher risk of incident diabetes than the reference group (HR, 1.17; 95% CI, 1.02 to 1.33). The subgroup analysis observed a valid interaction with sleep duration only for obesity. A higher risk of T2DM was observed in the ≤5 hours/night group in non-obese individuals, men, and those aged <60 years, and in the >7 hours/night group in obese individuals (HRs were 1.34 [95% CI, 1.11 to 1.61], 1.22 [95% CI, 1 to 1.49], and 1.18 [95% CI, 1.01 to 1.39], respectively).
Conclusion
This study confirmed the effect of sleep deprivation on the risk of T2DM throughout the 16-year follow-up period. This impact was confined to non-obese or young individuals and men. We observed a significant interaction between sleep duration and obesity.

Citations

Citations to this article as recorded by

All That Glitters Is Not Gold: The Same Sleep Time, but Different Diabetogenic Outcomes
Bohye Kim, Obin Kwon
Endocrinology and Metabolism.2023; 38(1): 78. CrossRef

Brief Report

Diabetes, Obesity and Metabolism
Identification of Healthy and Unhealthy Lifestyles by a Wearable Activity Tracker in Type 2 Diabetes: A Machine Learning-Based Analysis: Kyoung Jin Kim, Jung-Been Lee, Jimi Choi, Ju Yeon Seo, Ji Won Yeom, Chul-Hyun Cho, Jae Hyun Bae, Sin Gon Kim, Heon-Jeong Lee, Nam Hoon Kim; Endocrinol Metab. 2022;37(3):547-551. Published online June 29, 2022; DOI: https://doi.org/10.3803/EnM.2022.1479

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Abstract PDF Supplementary Material PubReader ePub Crossref - TDM

Lifestyle is a critical aspect of diabetes management. We aimed to define a healthy lifestyle using objectively measured parameters obtained from a wearable activity tracker (Fitbit) in patients with type 2 diabetes. This prospective observational study included 24 patients (mean age, 46.8 years) with type 2 diabetes. Expectation–maximization clustering analysis produced two groups: A (n=9) and B (n=15). Group A had a higher daily step count, lower resting heart rate, longer sleep duration, and lower mean time differences in going to sleep and waking up than group B. A Shapley additive explanation summary analysis indicated that sleep-related factors were key elements for clustering. The mean hemoglobin A1c level was 0.3 percentage points lower at the end of follow-up in group A than in group B. Factors related to regular sleep patterns could be possible determinants of lifestyle clustering in patients with type 2 diabetes.

Citations

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Rethink nutritional management in chronic kidney disease care
Fangyue Chen, Krit Pongpirul
Frontiers in Nephrology.2023;[Epub] CrossRef
Effect of a Wearable Device–Based Physical Activity Intervention in North Korean Refugees: Pilot Randomized Controlled Trial
Ji Yoon Kim, Kyoung Jin Kim, Kyeong Jin Kim, Jimi Choi, Jinhee Seo, Jung-Been Lee, Jae Hyun Bae, Nam Hoon Kim, Hee Young Kim, Soo-Kyung Lee, Sin Gon Kim
Journal of Medical Internet Research.2023; 25: e45975. CrossRef

Review Article

Diabetes, Obesity and Metabolism
Recent Updates to Clinical Practice Guidelines for Diabetes Mellitus: Jin Yu, Seung-Hwan Lee, Mee Kyoung Kim; Endocrinol Metab. 2022;37(1):26-37. Published online February 28, 2022; DOI: https://doi.org/10.3803/EnM.2022.105

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Abstract PDF PubReader ePub Crossref - TDM

Guidelines for the management of patients with diabetes have become an important part of clinical practice that improve the quality of care and help establish evidence-based medicine in this field. With rapidly accumulating evidence on various aspects of diabetes care, including landmark clinical trials of treatment agents and newer technologies, timely updates of the guidelines capture the most current state of the field and present a consensus. As a leading academic society, the Korean Diabetes Association publishes practice guidelines biennially and the American Diabetes Association does so annually. In this review, we summarize the key changes suggested in the most recent guidelines. Some of the important updates include treatment algorithms emphasizing comorbid conditions such as atherosclerotic cardiovascular disease, heart failure, and chronic kidney disease in the selection of anti-diabetic agents; wider application of continuous glucose monitoring (CGM), insulin pump technologies and indices derived from CGM such as time in range; more active screening of subjects at high-risk of diabetes; and more detailed individualization in diabetes care. Although there are both similarities and differences among guidelines and some uncertainty remains, these updates provide a good approach for many clinical practitioners who are battling with diabetes.

Citations

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A nationwide cohort study on diabetes severity and risk of Parkinson disease
Kyungdo Han, Bongsung Kim, Seung Hwan Lee, Mee Kyoung Kim
npj Parkinson's Disease.2023;[Epub] CrossRef
Optimal Low-Density Lipoprotein Cholesterol Level for Primary Prevention in Koreans with Type 2 Diabetes Mellitus
Ji Yoon Kim, Nam Hoon Kim
Diabetes & Metabolism Journal.2023; 47(1): 42. CrossRef
Efficacy and safety of enavogliflozin versus dapagliflozin added to metformin plus gemigliptin treatment in patients with type 2 diabetes: A double-blind, randomized, comparator-active study: ENHANCE-D study
Kyung-Soo Kim, Kyung Ah Han, Tae Nyun Kim, Cheol-Young Park, Jung Hwan Park, Sang Yong Kim, Yong Hyun Kim, Kee Ho Song, Eun Seok Kang, Chul Sik Kim, Gwanpyo Koh, Jun Goo Kang, Mi Kyung Kim, Ji Min Han, Nan Hee Kim, Ji Oh Mok, Jae Hyuk Lee, Soo Lim, Sang S
Diabetes & Metabolism.2023; 49(4): 101440. CrossRef
Finerenone: Efficacy of a New Nonsteroidal Mineralocorticoid Receptor Antagonist in Treatment of Patients With Chronic Kidney Disease and Type 2 Diabetes
Subo Dey, Jasmine Garg, Andy Wang, Eva Holzner, William H. Frishman, Wilbert S. Aronow
Cardiology in Review.2023;[Epub] CrossRef
Impact of mental disorders on the risk of heart failure among Korean patients with diabetes: a cohort study
Tae Kyung Yoo, Kyung-Do Han, Eun-Jung Rhee, Won-Young Lee
Cardiovascular Diabetology.2023;[Epub] CrossRef
Chronic disease management program applied to type 2 diabetes patients and prevention of diabetic complications: a retrospective cohort study using nationwide data
Min Kyung Hyun, Jang Won Lee, Seung-Hyun Ko
BMC Public Health.2023;[Epub] CrossRef
Innovative Therapeutic Approaches in Non-Alcoholic Fatty Liver Disease: When Knowing Your Patient Is Key
Marta Alonso-Peña, Maria Del Barrio, Ana Peleteiro-Vigil, Carolina Jimenez-Gonzalez, Alvaro Santos-Laso, Maria Teresa Arias-Loste, Paula Iruzubieta, Javier Crespo
International Journal of Molecular Sciences.2023; 24(13): 10718. CrossRef
Association between type 2 diabetes mellitus and depression among Korean midlife women: a cross-sectional analysis study
You Lee Yang, Eun-Ok Im, Yunmi Kim
BMC Nursing.2023;[Epub] CrossRef
Access to novel anti-diabetic agents in resource limited settings: A brief commentary
Poobalan Naidoo, Kiolan Naidoo, Sumanth Karamchand, Rory F Leisegang
World Journal of Diabetes.2023; 14(7): 939. CrossRef
Comparative efficacy and safety profile of once-weekly Semaglutide versus once-daily Sitagliptin as an add-on to metformin in patients with type 2 diabetes: a systematic review and meta-analysis
Tirath Patel, Fnu Nageeta, Rohab Sohail, Tooba Shaukat Butt, Shyamala Ganesan, Fnu Madhurita, Muhammad Ahmed, Mahrukh Zafar, Wirda Zafar, Mohammad Uzair Zaman, Giustino Varrassi, Mahima Khatri, Satesh Kumar
Annals of Medicine.2023;[Epub] CrossRef
Use of Diabetes Medications before and after a Heart Failure–Related Hospitalization among Nursing Home Residents
Tingting Zhang, Andrew R. Zullo, Kaleen (Kaley) N. Hayes, Dae Hyun Kim, Yoojin Lee, Lori A. Daiello, Douglas P. Kiel, Sarah D. Berry
Journal of the American Medical Directors Association.2023;[Epub] CrossRef
Zinc Chloride Enhances the Antioxidant Status, Improving the Functional and Structural Organic Disturbances in Streptozotocin-Induced Diabetes in Rats
Irina Claudia Anton, Liliana Mititelu-Tartau, Eliza Gratiela Popa, Mihaela Poroch, Vladimir Poroch, Ana-Maria Pelin, Liliana Lacramioara Pavel, Ilie Cristian Drochioi, Gina Eosefina Botnariu
Medicina.2022; 58(11): 1620. CrossRef

Original Articles

Diabetes, Obesity and Metabolism Big Data Articles (National Health Insurance Service Database)
Risk and Risk Factors for Postpartum Type 2 Diabetes Mellitus in Women with Gestational Diabetes: A Korean Nationwide Cohort Study: Mi Jin Choi, Jimi Choi, Chae Weon Chung; Endocrinol Metab. 2022;37(1):112-123. Published online February 28, 2022; DOI: https://doi.org/10.3803/EnM.2021.1276

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Background
There are differences in risk and risk factor findings of postpartum type 2 diabetes mellitus (T2DM) after gestational diabetes depending on study design and subjects of previous studies. This study aimed to assess these risk and risk factors more accurately through a population-based study to provide basic data for prevention strategies.
Methods
This open retrospective cohort included data of 419,101 women with gestational diabetes and matched 1,228,802 control women who delivered between 2004 and 2016 from the South Korea National Health Information Database of the National Health Insurance Service. Following 14 (median 5.9) years of follow-up, the incidence and hazard ratio (HR) of postpartum T2DM were evaluated using Kaplan-Meier curves and Cox proportional regression models.
Results
The incidence and HR of postpartum T2DM in women with gestational diabetes (compared to women without gestational diabetes) after the 14-year follow-up was 21.3% and 2.78 (95% confidence interval [CI], 2.74 to 2.82), respectively. Comorbid obesity (body mass index [BMI] ≥25 kg/m²) increased postpartum T2DM risk 7.59 times (95% CI, 7.33 to 7.86). Significant risk factors for postpartum T2DM were fasting glucose level, BMI, age, family history of diabetes, hypertension, and insulin use during pregnancy.
Conclusion
This population-based study showed higher postpartum T2DM risk in women with gestational diabetes than in those without, which was further increased by comorbid obesity. BMI and fasting glucose level were important postpartum risk factors. The management of obesity and glycemic control may be important strategies to prevent the incidence of diabetes after delivery.

Citations

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Integration of nutrigenomics, melatonin, serotonin and inflammatory cytokines in the pathophysiology of pregnancy-specific urinary incontinence in women with gestational diabetes mellitus
Danielle Cristina Honorio França, Eduardo Luzía França, Luis Sobrevia, Angélica Mércia Pascon Barbosa, Adenilda Cristina Honorio-França, Marilza Vieira Cunha Rudge
Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.2023; 1869(6): 166737. CrossRef
Risk factors associated with early postpartum glucose intolerance in women with a history of gestational diabetes mellitus: a systematic review and meta-analysis
Zhe Liu, Qianghuizi Zhang, Leyang Liu, Weiwei Liu
Endocrine.2023;[Epub] CrossRef

Clinical Study
Serum Transferrin Predicts New-Onset Type 2 Diabetes in Koreans: A 4-Year Retrospective Longitudinal Study: Jong Dai Kim, Dong-Mee Lim, Keun-Young Park, Se Eun Park, Eun Jung Rhee, Cheol-Young Park, Won-Young Lee, Ki Won Oh; Endocrinol Metab. 2020;35(3):610-617. Published online September 22, 2020; DOI: https://doi.org/10.3803/EnM.2020.721

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Abstract PDF PubReader ePub Crossref - TDM

Background
It is well known that high serum ferritin, a marker of iron storage, predicts incident type 2 diabetes. Limited information is available on the association between transferrin, another marker of iron metabolism, and type 2 diabetes. Thus, we investigated the association between transferrin and incident type 2 diabetes.
Methods
Total 31,717 participants (mean age, 40.4±7.2 years) in a health screening program in 2005 were assessed via cross-sectional analysis. We included 30,699 subjects who underwent medical check-up in 2005 and 2009 and did not have type 2 diabetes at baseline in this retrospective longitudinal analysis.
Results
The serum transferrin level was higher in the type 2 diabetes group than in the non-type 2 diabetes group (58.32±7.74 μmol/L vs. 56.17±7.96 μmol/L, P<0.001). Transferrin correlated with fasting serum glucose and glycosylated hemoglobin in the correlational analysis (r=0.062, P<0.001 and r=0.077, P<0.001, respectively) after full adjustment for covariates. Transferrin was more closely related to homeostasis model assessment of insulin resistance than to homeostasis model assessment of β cell function (r=0.042, P<0.001 and r=–0.019, P=0.004, respectively) after full adjustment. Transferrin predicted incident type 2 diabetes in non-type 2 diabetic subjects in a multivariate linear regression analysis; the odds ratio (95% confidence interval [CI]) of the 3rd tertile compared to that in the 1st tertile of transferrin for incident diabetes was 1.319 (95% CI, 1.082 to 1.607) after full adjustment (P=0.006).
Conclusion
Transferrin is positively associated with incident type 2 diabetes in Koreans.

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Review Article

Obesity and Metabolism
Metabolically Healthy and Unhealthy Normal Weight and Obesity: Norbert Stefan; Endocrinol Metab. 2020;35(3):487-493. Published online August 20, 2020; DOI: https://doi.org/10.3803/EnM.2020.301

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Abstract PDF PubReader ePub Crossref - TDM

Increased fat mass is an established risk factor for the cardiometabolic diseases type 2 diabetes and cardiovascular disease (CVD) and is associated with increased risk of all-cause and CVD mortality. However, also very low fat mass associates with such an increased risk. Whether impaired metabolic health, characterized by hypertension, dyslipidemia, hyperglycemia, insulin resistance, and subclinical inflammation, may explain part of the elevated risk of cardiometabolic diseases that is found in many subjects with very low fat mass, as it does in many obese subjects, is unknown. An important pathomechanism of impaired metabolic health is disproportionate fat distribution. In this article the risk of cardiometabolic diseases and mortality in subjects with metabolically healthy and unhealthy normal weight and obesity is summarized. Furthermore, the change of metabolic health during a longer period of follow-up and its impact on cardiometabolic diseases is being discussed. Finally, the implementation of the concept of metabolic health in daily clinical practice is being highlighted.

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