Diabetes & Metabolism Journal最新文献

{"title":"Identification and Potential Clinical Utility of Common Genetic Variants in Gestational Diabetes among Chinese Pregnant Women.","authors":"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","doi":"10.4093/dmj.2024.0139","DOIUrl":"https://doi.org/10.4093/dmj.2024.0139","url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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; Pmeta=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; Pmeta=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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":11153,"journal":{"name":"Diabetes & Metabolism Journal","volume":" ","pages":""},"PeriodicalIF":6.8,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142281836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of New-Onset Diabetes after Transplantation on Cardiovascular Risk and Mortality in Korea: A Nationwide Population-Based Study.","authors":"Seung Shin Park,Bo Kyung Koo,Sanghyun Park,Kyungdo Han,Min Kyong Moon","doi":"10.4093/dmj.2024.0078","DOIUrl":"https://doi.org/10.4093/dmj.2024.0078","url":null,"abstract":"BackgroundLimited data are available on the adverse effects of new-onset diabetes after transplantation (NODAT) in solid organ transplantation (TPL) other than kidney. This study aimed to identify the risk of complications associated with NODAT in recipients of kidney, liver, or heart TPL.MethodsUsing the Korean National Health Insurance Service database, recipients of kidney, liver, or heart TPL between 2009 and 2015 were identified. The incidence of coronary artery disease (CAD), cerebrovascular accident (CVA), and malignancy was compared across groups with NODAT, pretransplant diabetes mellitus (DM), and without DM using Cox regression analysis.ResultsA total of 9,632 kidney, liver, or heart TPL recipients were included. During the median follow-up of 5.9 years, NODAT independently increased the incidence of CAD (hazard ratio [HR], 2.46; 95% confidence interval [CI], 1.39 to 4.30) and overall mortality (HR, 1.48; 95% CI, 1.14 to 1.95) compared to the reference group even after adjustment for confounders; this was more prominent in kidney TPL than in liver TPL. The risk of CVA was significantly increased by pretransplant DM but not by NODAT in both kidney and liver TPL (HR, 2.47; 95% CI, 1.68 to 3.65; and HR, 3.18; 95% CI, 1.07 to 9.48, respectively). NODAT increased the risk of malignancy in the crude model, which lost its statistical significance after confounder adjustment.ConclusionNODAT independently increases the risk of CAD and mortality after TPL, which is more evident in kidney recipients. There was no additional increased risk of CVA or malignancy with NODAT in solid organ TPL.","PeriodicalId":11153,"journal":{"name":"Diabetes & Metabolism Journal","volume":"63 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142177491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Analysis of Age-Related Body Composition Changes and Metabolic Patterns in Korean Adults Using FDG-PET/CT Health Screening Data.","authors":"Chang-Myung Oh, Ji-In Bang, Sang Yoon Lee, Jae Kyung Lee, Jee Won Chai, So Won Oh","doi":"10.4093/dmj.2024.0057","DOIUrl":"https://doi.org/10.4093/dmj.2024.0057","url":null,"abstract":"<p><strong>Background: </strong>F-18-fluorodeoxyglucose positron emission tomography (FDG-PET)/computed tomography (CT) can be used to measure bone mineral density (BMD), cross-sectional muscle area (CSMA), Hounsfield units (HU) of liver and muscle, subcutaneous adipose tissue (SAT), abdominal visceral adipose tissue (VAT), and glucose metabolism. The present study aimed to identify age-related changes in body composition and glucose metabolism in Korean using opportunistic FDG-PET/CT imaging.</p><p><strong>Methods: </strong>We analyzed FDG-PET/CT, clinical history, and laboratory data abstracted from the medical records of patients who underwent health screening at a single institute between 2017 and 2022.</p><p><strong>Results: </strong>In total, 278 patients were included in the analysis (male:female=140:138). Age and body mass index were positively correlated in female, but negatively correlated in male. BMD decreased with age more in female, and CSMA decreased with age more in male. Muscle HU decreased with age for both sexes. In female, SAT and VAT increased with age; and in male, SAT decreased slightly while VAT remained stable. Muscle glucose metabolism showed no association with age in male but increased with age in female. CSMA correlated positively with BMD overall; and positively correlated with VAT and SAT in male only. In female only, both SAT and VAT showed negative correlations with glucose metabolism and correlated positively with muscle glucose metabolism. Liver HU values were inversely correlated with VAT, especially in female; and positively correlated with muscle glucose metabolism in female only.</p><p><strong>Conclusion: </strong>FDG-PET/CT demonstrated distinct patterns of age-related changes in body composition and glucose metabolism, with significant differences between sexes.</p>","PeriodicalId":11153,"journal":{"name":"Diabetes & Metabolism Journal","volume":" ","pages":""},"PeriodicalIF":6.8,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142105298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Healthy Lifestyle and the Risk of Metabolic Dysfunction-Associated Fatty Liver Disease: A Large Prospective Cohort Study.","authors":"Qing Chang, Yixiao Zhang, Tingjing Zhang, Zuyun Liu, Limin Cao, Qing Zhang, Li Liu, Shaomei Sun, Xing Wang, Ming Zhou, Qiyu Jia, Kun Song, Yang Ding, Yuhong Zhao, Kaijun Niu, Yang Xia","doi":"10.4093/dmj.2023.0133","DOIUrl":"10.4093/dmj.2023.0133","url":null,"abstract":"<p><strong>Backgruound: </strong>The incidence density of metabolic dysfunction-associated fatty liver disease (MAFLD) and the effect of a healthy lifestyle on the risk of MAFLD remain unknown. We evaluated the prevalence and incidence density of MAFLD and investigated the association between healthy lifestyle and the risk of MAFLD.</p><p><strong>Methods: </strong>A cross-sectional analysis was conducted on 37,422 participants to explore the prevalence of MAFLD. A cohort analysis of 18,964 individuals was conducted to identify the incidence of MAFLD, as well as the association between healthy lifestyle and MAFLD. Cox proportional hazards regression was used to calculate the hazard ratio (HR) and 95% confidence interval (CI) with adjustments for confounding factors.</p><p><strong>Results: </strong>The prevalence of MAFLD, non-alcoholic fatty liver disease, and their comorbidities were 30.38%, 28.09%, and 26.13%, respectively. After approximately 70 thousand person-years of follow-up, the incidence densities of the three conditions were 61.03, 55.49, and 51.64 per 1,000 person-years, respectively. Adherence to an overall healthy lifestyle was associated with a 19% decreased risk of MAFLD (HR, 0.81; 95% CI, 0.72 to 0.92), and the effects were modified by baseline age, sex, and body mass index (BMI). Subgroup analyses revealed that younger participants, men, and those with a lower BMI experienced more significant beneficial effects from healthy lifestyle.</p><p><strong>Conclusion: </strong>Our results highlight the beneficial effect of adherence to a healthy lifestyle on the prevention of MAFLD. Health management for improving dietary intake, physical activity, and smoking and drinking habits are critical to improving MAFLD.</p>","PeriodicalId":11153,"journal":{"name":"Diabetes & Metabolism Journal","volume":" ","pages":"971-982"},"PeriodicalIF":6.8,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11449819/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140174109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Construction of Risk Prediction Model of Type 2 Diabetic Kidney Disease Based on Deep Learning (Diabetes Metab J 2024;48:771-9).","authors":"Chuan Yun, Fangli Tang, Qingqing Lou","doi":"10.4093/dmj.2024.0490","DOIUrl":"10.4093/dmj.2024.0490","url":null,"abstract":"","PeriodicalId":11153,"journal":{"name":"Diabetes & Metabolism Journal","volume":"48 5","pages":"1008-1011"},"PeriodicalIF":6.8,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11449815/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142307274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial Light at Night and Type 2 Diabetes Mellitus.","authors":"Jong-Ha Baek, Yong Zhu, Chandra L Jackson, Yong-Moon Mark Park","doi":"10.4093/dmj.2024.0237","DOIUrl":"10.4093/dmj.2024.0237","url":null,"abstract":"<p><p>The widespread and pervasive use of artificial light at night (ALAN) in our modern 24-hour society has emerged as a substantial disruptor of natural circadian rhythms, potentially leading to a rise in unhealthy lifestyle-related behaviors (e.g., poor sleep; shift work). This phenomenon has been associated with an increased risk of type 2 diabetes mellitus (T2DM), which is a pressing global public health concern. However, to date, reviews summarizing associations between ALAN and T2DM have primarily focused on the limited characteristics of exposure (e.g., intensity) to ALAN. This literature review extends beyond prior reviews by consolidating recent studies from 2000 to 2024 regarding associations between both indoor and outdoor ALAN exposure and the incidence or prevalence of T2DM. We also described potential biological mechanisms through which ALAN modulates glucose metabolism. Furthermore, we outlined knowledge gaps and investigated how various ALAN characteristics beyond only light intensity (including light type, timing, duration, wavelength, and individual sensitivity) influence T2DM risk. Recognizing the detrimental impact of ALAN on sleep health and the behavioral correlates of physical activity and dietary patterns, we additionally summarized studies investigating the potential mediating role of each component in the relationship between ALAN and glucose metabolism. Lastly, we proposed implications of chronotherapies and chrononutrition for diabetes management in the context of ALAN exposure.</p>","PeriodicalId":11153,"journal":{"name":"Diabetes & Metabolism Journal","volume":"48 5","pages":"847-863"},"PeriodicalIF":6.8,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11449813/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142307350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Benefit and Safety of Sodium-Glucose Co-Transporter 2 Inhibitors in Older Patients with Type 2 Diabetes Mellitus.","authors":"Ja Young Jeon, Dae Jung Kim","doi":"10.4093/dmj.2024.0317","DOIUrl":"10.4093/dmj.2024.0317","url":null,"abstract":"<p><p>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.</p>","PeriodicalId":11153,"journal":{"name":"Diabetes & Metabolism Journal","volume":"48 5","pages":"837-846"},"PeriodicalIF":6.8,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11449826/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142307272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Systems Biology of Human Microbiome for the Prediction of Personal Glycaemic Response.","authors":"Nikhil Kirtipal, Youngchang Seo, Jangwon Son, Sunjae Lee","doi":"10.4093/dmj.2024.0382","DOIUrl":"10.4093/dmj.2024.0382","url":null,"abstract":"<p><p>The human gut microbiota is increasingly recognized as a pivotal factor in diabetes management, playing a significant role in the body's response to treatment. However, it is important to understand that long-term usage of medicines like metformin and other diabetic treatments can result in problems, gastrointestinal discomfort, and dysbiosis of the gut flora. Advanced sequencing technologies have improved our understanding of the gut microbiome's role in diabetes, uncovering complex interactions between microbial composition and metabolic health. We explore how the gut microbiota affects glucose metabolism and insulin sensitivity by examining a variety of -omics data, including genomics, transcriptomics, epigenomics, proteomics, metabolomics, and metagenomics. Machine learning algorithms and genome-scale modeling are now being applied to find microbiological biomarkers associated with diabetes risk, predicted disease progression, and guide customized therapy. This study holds promise for specialized diabetic therapy. Despite significant advances, some concerns remain unanswered, including understanding the complex relationship between diabetes etiology and gut microbiota, as well as developing user-friendly technological innovations. This mini-review explores the relationship between multiomics, precision medicine, and machine learning to improve our understanding of the gut microbiome's function in diabetes. In the era of precision medicine, the ultimate goal is to improve patient outcomes through personalized treatments.</p>","PeriodicalId":11153,"journal":{"name":"Diabetes & Metabolism Journal","volume":"48 5","pages":"821-836"},"PeriodicalIF":6.8,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11449821/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142307276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Glycemic Control and Retinal Microvascular Changes in Type 2 Diabetes Mellitus Patients without Clinical Retinopathy.","authors":"Kangmin Lee, Ga Hye Lee, Seung Eun Lee, Jee Myung Yang, Kunho Bae","doi":"10.4093/dmj.2023.0149","DOIUrl":"10.4093/dmj.2023.0149","url":null,"abstract":"<p><strong>Backgruound: </strong>To investigate the association of glycemic control and retinal microvascular changes in patients with type 2 diabetes mellitus (T2DM) without diabetic retinopathy (DR).</p><p><strong>Methods: </strong>This retrospective, observational, cohort study included patients with T2DM without DR. The patients were categorized into intensive control (IC; mean glycosylated hemoglobin [HbA1c] ≤7.0%) and moderate control (MC; mean HbA1c >7.0%) groups. Optical coherence tomography (OCT) and swept-source OCT angiography (OCTA) image parameters were compared between three groups, including healthy controls.</p><p><strong>Results: </strong>In total, 259 eyes of 259 participants (88 IC, 81 MC, and 90 controls) were included. The foveal avascular zone area was significantly larger in the MC group than IC and control groups (all P<0.05). The IC group had lower vessel density in the superficial retinal layer and deep retinal layer than the controls (all P<0.05). The choriocapillaris (CC) flow deficit (FD) was significantly greater in the MC group than in the IC and control groups (18.2%, 16.7%, and 14.2%, respectively; all P<0.01). In multivariate regression analysis, CC-FD was associated with the mean HbA1c level (P=0.008). There were no significant differences in OCT parameters among the groups.</p><p><strong>Conclusion: </strong>OCTA revealed that early CC impairment is associated with HbA1c levels; the CC changes precede clinically apparent DR. The OCTA parameters differed among the groups according to the degree of glycemic control. Our results suggest that microvascular changes precede DR and are closely related to glycemic control.</p>","PeriodicalId":11153,"journal":{"name":"Diabetes & Metabolism Journal","volume":" ","pages":"983-992"},"PeriodicalIF":6.8,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11449814/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140119045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ideal Combination of Oral Hypoglycemic Agents for Patients with Type 2 Diabetes Mellitus.","authors":"Hye Soon Kim","doi":"10.4093/dmj.2024.0479","DOIUrl":"10.4093/dmj.2024.0479","url":null,"abstract":"","PeriodicalId":11153,"journal":{"name":"Diabetes & Metabolism Journal","volume":"48 5","pages":"882-884"},"PeriodicalIF":6.8,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11449824/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142307275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}