Diabetology & Metabolic Syndrome最新文献

{"title":"Association between dietary inflammatory index and depression in individuals with cardiovascular-kidney-metabolic syndrome stage 0-3: a cross-sectional study.","authors":"Ying Li, Lixin Ye, Jingjing Yao, Wanru Zhong","doi":"10.1186/s13098-026-02171-7","DOIUrl":"https://doi.org/10.1186/s13098-026-02171-7","url":null,"abstract":"<p><strong>Background: </strong>Cardiovascular-Kidney-Metabolic (CKM) syndrome is a newly recognized condition characterized by systemic inflammation, a process also implicated in depression. The Dietary Inflammatory Index (DII) quantifies the inflammatory potential of diet, yet its association with depression among individuals with CKM syndrome remains underexplored.</p><p><strong>Methods: </strong>Utilizing data from 11,847 adults with CKM syndrome stages 0-3 enrolled in seven NHANES cycles (2005-2018), we examined the relationship between DII and depression. The DII was computed using 24-hour dietary recall data. Weighted logistic regression and restricted cubic spline (RCS) analyses were applied to evaluate linear and nonlinear associations. Subgroup and sensitivity analyses were also conducted to assess consistency and robustness.</p><p><strong>Results: </strong>Elevated DII values were consistently associated with a greater likelihood of depression across all models. Participants in the highest DII quartile (Q4) exhibited significantly higher odds of depression than those in the lowest quartile (Q1). RCS models revealed a positive, nonlinear dose-response relationship. Additionally, a significant interaction was observed between DII and diabetes mellitus status.</p><p><strong>Conclusion: </strong>A pro-inflammatory dietary profile, reflected by higher DII scores, is positively associated with depression among individuals with CKM stages 0-3. These findings highlight the potential benefits of adopting anti-inflammatory dietary interventions to mitigate depression risk in this population.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147863832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and validation of a risk prediction model for dysglycaemia at 6-12 weeks postpartum in Chinese women with gestational diabetes: a retrospective cohort study.","authors":"Zhe Liu, Jie Liu, Weiwei Liu","doi":"10.1186/s13098-026-02158-4","DOIUrl":"https://doi.org/10.1186/s13098-026-02158-4","url":null,"abstract":"<p><strong>Background: </strong>Compared with normoglycaemic pregnancies, gestational diabetes mellitus (GDM) confers a markedly elevated risk of dysglycaemia at 6-12 weeks postpartum.</p><p><strong>Objective: </strong>This study aimed to develop and externally validate a prediction model for the risk of dysglycaemia at 6-12 weeks postpartum in a Chinese population of women with gestational diabetes mellitus and to provide a clinically usable risk-assessment tool.</p><p><strong>Methods: </strong>The derivation cohort comprised 500 Chinese women diagnosed with GDM at 24-28 weeks'gestation in the obstetric outpatient clinic of Beijing Friendship Hospital affiliated to Capital Medical University (a single tertiary center in China) between January 2016 and December 2022, who completed a postpartum oral glucose tolerance test. Predictors were selected using LASSO regression, and four machine learning algorithms (logistic regression, decision tree, random forest, and support vector machine) were trained to construct the prediction models, followed by internal validation. For external validation, a prospective cohort of 170 Chinese women with GDM was recruited from Beijing Chaoyang Hospital(another single center in China) from May to November 2023 and followed until 6 weeks postpartum. Finally, an R-Shiny web calculator was developed to facilitate real-time risk estimation.</p><p><strong>Results: </strong>Among 500 women in the development cohort, 209 (41.8 %) with GDM developed dysglycaemia at 6-12 weeks postpartum. LASSO regression identified prior GDM, family history of diabetes, HbA1c, 2-hour plasma glucose from the diagnostic 75-g OGTT, and total bilirubin as independent predictors. The four machine-learning models achieved AUCs of 0.606-0.769, accuracies of 0.600-0.729, sensitivities of 0.526-0.877, and specificities of 0.581-0.828; the logistic model was superior. In the external validation cohort of 170 women, 54 (31.8%) developed dysglycaemia. The validated logistic model yielded an AUC of 0.808 (95 % CI 0.740-0.875), sensitivity 0.810, specificity 0.644, and Youden index 0.455, with excellent calibration.</p><p><strong>Conclusions: </strong>The validated logistic model offers health care personnel a ready-to-use web tool for early postpartum dysglycaemia identification and targeted intervention to curb progression to type 2 diabetes.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147834104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating iPSC-based interventions for diabetes: a systematic review and meta-analysis.","authors":"Vu Manh Tan, Ke Thi Lan Anh, Le Thi Dieu Hien, Vu Thi Thu Trang, Pham Minh Nguyet, Dang Phuong Linh, Tran Thi Hai Yen, Vo Duy Quan","doi":"10.1186/s13098-026-02168-2","DOIUrl":"https://doi.org/10.1186/s13098-026-02168-2","url":null,"abstract":"<p><strong>Background: </strong>Diabetes mellitus (DM) is characterized by progressive β-cell dysfunction, and current therapies improve glycemic control without restoring endogenous β-cell mass. Induced pluripotent stem cell (iPSC)-based approaches offer a potential regenerative strategy. This systematic review and meta-analysis evaluates the efficacy and safety of iPSC-based interventions for diabetes in preclinical models.</p><p><strong>Methods: </strong>A comprehensive literature search was conducted in PubMed, ScienceDirect, and Web of Science for studies published up to November 2025. Studies assessing iPSC-based therapies in diabetic models were systematically reviewed and quantitatively synthesized.</p><p><strong>Result: </strong>Thirty-one preclinical studies involving 424 animals were included. iPSC-based interventions were associated with reduced mortality (odds ratio [OR] 0.14) and reductions in blood glucose across 21 studies (mean difference [MD]  -267.36). Glucose-lowering effects were observed under fasting, non-fasting, and glucose-challenge conditions and were accompanied by increased insulin and C-peptide levels. Improvements were also reported in several diabetes-related complications, including cardiac dysfunction, impaired wound healing, neuropathy, and retinopathy.</p><p><strong>Conclusion: </strong>iPSC-based therapies show potential to improve glycemic control and diabetes-related complications in preclinical models, likely through a combination of endocrine replacement and paracrine-mediated regenerative mechanisms. However, substantial heterogeneity across outcome assessments, reliance on short- to mid-term follow-up, and limitations of experimental disease models constrain the interpretation and generalizability of these findings. Immune compatibility, long-term safety, and scalable manufacturing remain key challenges for clinical translation.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147811959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"miR-103a-3p contributes to diabetic retinopathy progression via suppressing MFN2.","authors":"Yidan Liu, Yan Zhao, Jinling Liu, Min Wu, Qiuping Zhang","doi":"10.1186/s13098-026-02165-5","DOIUrl":"https://doi.org/10.1186/s13098-026-02165-5","url":null,"abstract":"<p><strong>Background: </strong>Diabetic retinopathy (DR), a complication of diabetes, damages microvascular of retina through various molecular pathways. Emerging evidence points to miRNAs as key players in progression of DR. This study aims to investigate whether miR-103a-3p contributes to pathological processes of DR through MFN2.</p><p><strong>Methods: </strong>Serum samples were collected from type 2 diabetes mellitus patients and divided into NDR, NPDR, and PDR groups based on fundus lesions. miR-103a-3p levels in each group were quantified by qRT-PCR. ARPE-19 cells were cultured under high-glucose (HG). Cell viability and apoptosis rates were evaluated by CCK-8 assay and flow cytometry. Activities of MDA and GSH-Px were detected by specific kits. Luciferase reporter gene confirmed MFN2 as a direct target of miR-103a-3p.</p><p><strong>Results: </strong>Clinical sample detection revealed that miR-103a-3p levels were higher in NPDR and PDR patients compared to control and NDR groups, and it was an independent risk factor for DR. In vitro experiments confirmed that HG treatment greatly increased miR-103a-3p levels, decreased cell viability, accelerated apoptosis, elevated MDA content, and reduced GSH-Px activity, while transfection of miR-103a-3p inhibitor reversed these effects. Using luciferase reporter assay, we identified MFN2 as a direct target of miR-103a-3p. Moreover, rescue experiments demonstrated that silencing MFN2 effectively reversed the cell functions induced by miR-103a-3p inhibitor.</p><p><strong>Conclusion: </strong>miR-103a-3p is upregulated in DR and accelerates its progression by directly targeting and inhibiting MFN2 expression. This study suggested the molecular mechanism of miR-103a-3p/MFN2 axis in DR, identifying a novel potential target for early diagnosis and therapy of DR.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147811929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beyond the known: prospective research directions for the gut-brain axis in obesity and type 1 diabetes mellitus.","authors":"DuJiang Yang, Lin Yang, Jiexiang Yang, GuoYou Wang","doi":"10.1186/s13098-025-02038-3","DOIUrl":"10.1186/s13098-025-02038-3","url":null,"abstract":"<p><strong>Background: </strong>This letter engages with the seminal review by Argyrakopoulou et al. Obesity and the Gut-Brain Axis in Type 1 Diabetes Mellitus: Terra Incognita? Curr Obes Rep, https://doi.org/10.1007/s13679-025-00654-8IF:11.0Q1B1 . on the putative role of the gut-brain axis in the rising prevalence of obesity within type 1 diabetes mellitus (T1DM).</p><p><strong>Objective: </strong>We aim to commend the authors while proposing key future research avenues to advance the field from correlation to causation and therapeutic application. We also seek to integrate recent high-impact evidence to contextualize our perspectives.</p><p><strong>Main points: </strong>First, we emphasize the need for deep mechanistic studies using gnotobiotic models and targeted metabolomics to delineate the causal role of specific microbial metabolites, informed by recent concepts of host genetic regulation of the gut-liver axis (e.g., via p53/PI3K/AKT/Wnt signaling) and microbiota composition in metabolic disease pathophysiology (1, 2). Second, we highlight the imperative for longitudinal cohort studies to determine the temporal relationship between gut dysbiosis, autoimmunity, and subsequent metabolic complications. Finally, we discuss the promising intersection of microbiome science with emerging therapeutics, including next-generation probiotics and GLP-1 receptor agonists, whose efficacy may be partly mediated through the gut-brain axis.</p><p><strong>Conclusion: </strong>By addressing these priorities and integrating recent knowledge, the scientific community can translate this compelling paradigm into tangible clinical benefits for patients with T1DM.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":"18 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13122937/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147765272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multistate markov model analysis of metabolic syndrome progression in a community-based longitudinal cohort study.","authors":"Hung-Pin Chen, Amy Ming-Fang Yen, Yen-Po Yeh, Dih-Ling Luh","doi":"10.1186/s13098-026-02146-8","DOIUrl":"https://doi.org/10.1186/s13098-026-02146-8","url":null,"abstract":"","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147765136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prognostic value of advanced imaging biomarkers for the progression of diabetic retinopathy: a systematic review.","authors":"Salomão Antonio Oliveira, João Pedro R Afonso, Rodrigo F Oliveira, Carlos Hassel M Silva, Deise A A P Oliveira, Iransé Oliveira-Silva, Rodrigo A C Andraus, Rodolfo P Vieira, Paolo Capodaglio, Alessandro R Stival, Rafael Caiado C Vencio, Sergio Vencio, Elias Jirjoss Ilias, Orlando A Guedes, Claudia S Oliveira, Wilson R Freitas Júnior, Luís V F Oliveira, João Eduardo N Salles","doi":"10.1186/s13098-026-02159-3","DOIUrl":"https://doi.org/10.1186/s13098-026-02159-3","url":null,"abstract":"","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147765075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Global, regional, and national burden of dementia attributable to depression among people living with diabetes: a comparative risk assessment study.","authors":"Shiyi Shan, Jing Wu, Jiali Zhou, Chenhao Zhang, Chenyue Xu, Jindian Zha, Jiayao Ying, Yajie Zhu, Shaohua Hu, Peige Song, Igor Rudan","doi":"10.1186/s13098-026-02167-3","DOIUrl":"https://doi.org/10.1186/s13098-026-02167-3","url":null,"abstract":"","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147765353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of different types of exercise on systemic metabolic health in overweight/obese patients with type 2 diabetes mellitus: a network meta-analysis.","authors":"Pengdao Xiong, Meiling Hu, Xinpeng Liao, Bin Zhang, Fengbo Mo","doi":"10.1186/s13098-026-02162-8","DOIUrl":"https://doi.org/10.1186/s13098-026-02162-8","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;With the acceleration of global urbanization and lifestyle changes, overweight/obese patients with type 2 diabetes mellitus have become major public health challenges, and these two conditions often coexist. Exercise is recognized as a key non-pharmacological intervention in the comprehensive management of the two diseases. However, whether different exercise interventions have their respective advantages in improving blood glucose, blood lipids, body composition and cardiopulmonary function remains to be fully elucidated.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;A systematic search was conducted in the PubMed, Embase, Cochrane Library, and Web of Science databases to identify randomized controlled trials involving overweight/obese patients with type 2 diabetes mellitus. After screening the literature, extracting data, and assessing the risk of bias of the included studies, a network meta-analysis was performed using Stata 16.0 software. The certainty of evidence was evaluated using the CINeMA framework.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;A total of 16 randomized controlled trials (RCTs) were included: aerobic exercise (AE), resistance training (RT), combined training (CT), and high-intensity interval exercise (HIIE). Nine studies reported glycated hemoglobin A1c (HbA1c), twelve studies assessed body mass index (BMI), and six studies measured the percentage body fat (PBF). The network meta‑analysis results showed that aerobic exercise (AE) (MD, - 0.91; 95% CI, - 1.32 to - 0.50), resistance training (RT) (MD, - 0.97; 95% CI, - 1.51 to - 0.43), combined training (CT) (MD, - 0.76; 95% CI, - 1.19 to - 0.33), and high‑intensity interval exercise (HIIE) (MD, - 1.24; 95% CI, - 1.72 to - 0.76) all demonstrated significantly lower HbA1c levels compared with the control group (CON). According to the surface under the cumulative ranking curve (SUCRA), high-intensity interval exercise ranked relatively high in reducing HbA1c in overweight/obese patients with type 2 diabetes mellitus (SUCRA = 90.2%). AE reduced BMI (MD, - 0.61; 95% CI, - 0.94 to - 0.28) and PBF (MD, - 0.66; 95% CI, - 1.29 to - 0.02) compared with CON, while no statistically significant differences were observed in the other comparisons. AE ranked relatively better for reducing both BMI (SUCRA = 92.0%) and PBF (SUCRA = 81.5%) in overweight/obese patients with type 2 diabetes mellitus. According to SUCRA values, different exercise interventions had their respective advantages across different outcome indicators.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;Different exercise modalities demonstrate distinct advantages in improving metabolic parameters. HIIE shows positive effects in improving HbA1c, FBG, lipid profiles (TC, TG, and HDL), and in reducing WC and systolic blood pressure (SBP). AE can improve body composition indicators (BMI, PBF, and BW) and enhance VO₂max. RT improves HbA1c, FBG, TC, and TG. CT improves HbA1c and FBG. In clinical practice, individualized exercise prescr","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147765320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Gestational diabetes: from pathogenesis to therapeutic intervention.","authors":"Xingying Zhang, Yunqian Chi, Zihan Zhang, Yunhe Wang, Fengxin Yi, Pengyuan Wang, Yiyang Liu, Wei Hao","doi":"10.1186/s13098-026-02156-6","DOIUrl":"https://doi.org/10.1186/s13098-026-02156-6","url":null,"abstract":"","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147765364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}