Diabetology & Metabolic Syndrome最新文献

{"title":"Association between coffee and tea consumption and the risk of macrovascular complications in type 2 diabetes: a UK Biobank cohort study.","authors":"Ting Ma, Lingling Yang, Miaomiao Wu, Bo Wang, Jiangping Li, Jiafei Yang, Xian Sun","doi":"10.1186/s13098-025-01807-4","DOIUrl":"10.1186/s13098-025-01807-4","url":null,"abstract":"<p><strong>Background: </strong>Many studies have shown that coffee and tea consumption is associated with diabetes. However, limited research exists on their effects on the risk of macrovascular complications in diabetic patients. Therefore, the purpose of this study was to examine the relationship between the intake of coffee and tea and macrovascular complications in patients with type 2 diabetes mellitus (T2DM).</p><p><strong>Methods: </strong>We used the Cox proportional hazards regression model to estimate the hazard ratio (HR) and 95% confidence interval (CI), which determined the relationship between coffee and tea consumption and the risk of macrovascular complications among 14,277 UK Biobank participants.</p><p><strong>Results: </strong>Compared with non-coffee or tea drinkers, those who consumed 0.5-1 cup of coffee (HR 0.67,95% CI 0.518 to 0.856) or 2-4 cups of tea (HR 0.66,95% CI 0.524 to 0.839) per day had the lowest risk of stroke; daily intake of 2-4 cups of coffee associated with reduced risk of angina pectoris (AP) (HR 0.82,95% CI 0.726 to 0.916); those who consumed 0.5-1 cup of tea per day had the lowest risk of the heart failure (HF) (HR 0.73,95% CI 0.602 to 0.879); furthermore, those who consumed 2-4 cups of coffee and 0.5-1 cup of tea per day (HR 0.55, 95% CI 0.379-0.790) demonstrated the lowest risk of HF onset compared with those who did not consume coffee and tea at all.</p><p><strong>Conclusions: </strong>This study found that in a T2DM population, moderate coffee consumption significantly lowered the risk of stroke and AP, while moderate tea intake reduced the risk of stroke and HF. Combined moderate consumption of both beverages provided optimal protection against HF.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":"17 1","pages":"233"},"PeriodicalIF":3.4,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12178019/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144332547","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":"Association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and gout in US adults: a cross-sectional study of the mediating role of BMI.","authors":"Hongmei Li, Xu Li, Wei Zhong, Fangjiu Liu","doi":"10.1186/s13098-025-01798-2","DOIUrl":"10.1186/s13098-025-01798-2","url":null,"abstract":"<p><strong>Background: </strong>The connection between non-high-density lipoprotein to high-density lipoprotein ratio (NHHR) and gout has been documented among American adults; however, the specific mechanisms underlying this relationship remain to be elucidated. This cross-sectional study aimed to explore the mediating role of Body mass index (BMI) in the relationship between NHHR and gout prevalence among US adults, using the National Health and Nutrition Examination Survey (NHANES) data.</p><p><strong>Methods: </strong>Participants were drawn from the NHANES across four cycles for this cross-sectional analysis. NHHR is characterized by the proportion of cholesterol that is non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol. We employed bootstrapping-based mediation analysis to assess the impact of NHHR on gout risk mediated by BMI.</p><p><strong>Results: </strong>The prevalence of gout in our study was found to be 5.07%. Multivariate logistic regression analysis identified a significant correlation between NHHR and the likelihood of developing gout (OR = 1.13, 95%CI 1.06-1.20, p = 0.001). Mediation analysis indicated that the relationship between NHHR and gout risk was partially mediated by BMI, accounting for 26.27% (95% CI 10.96-57.95%; p < 0.0001; total effect = 0.0076, direct effect = 0.0056) of the association.</p><p><strong>Conclusion: </strong>BMI significantly mediates part of the relationship between NHHR and gout among American adults, underscoring the need to factor in body weight when comprehending gout risk elements.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":"17 1","pages":"223"},"PeriodicalIF":3.4,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12175315/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144324664","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":"Association of wearable device-measured physical activity with full-course diabetic retinopathy and retinal traits: insights from the middle-aged and older adult cohort.","authors":"Chenxiao Shen, Zijing Du, Chunran Lai, Ting Su, Qiaowei Wu, Yanlei Chen, Ying Fang, Zhuoting Zhu, Xiayin Zhang, Honghua Yu","doi":"10.1186/s13098-025-01745-1","DOIUrl":"10.1186/s13098-025-01745-1","url":null,"abstract":"<p><strong>Purpose: </strong>To assess accelerometer-measured physical activity (PA) in patients with all stages of diabetic retinopathy (DR) and investigate its association with specific retinal structural metrics.</p><p><strong>Methods: </strong>This extensive cohort study included 13,600 participants with an average age of 56.39 years. These subjects were divided into four groups: non-diabetes mellitus, prediabetes mellitus (Pre-DM), diabetes mellitus (DM) without DR, and DR. We evaluated multivariate-adjusted associations of PA with DR progression using logistic regression and with retinal sublayer thickness using hierarchical linear model (HLM). The mediating role of body mass index (BMI) was tested to investigate the true association between PA and the full spectrum DR.</p><p><strong>Results: </strong>As DR progressed, the durations of moderate-intensity PA (MPA) and moderate-vigorous PA (MVPA) decreased significantly by 29% (odds ratio (OR) = 0.71, 95% CI = 0.57-0.90) to 78% (OR = 0.22, 95% CI = 0.14-0.35) and 21% (OR = 0.79, 95% CI = 0.71-0.89) to 55% (OR = 0.45, 95% CI = 0.30-0.67), respectively. Morning MPA and MVPA (6:00-12:00) were protective factors against DR, whereas late-night PA (0:00-5:59) heightened DR risk. The multivariate-adjusted linear interaction model revealed that the positive effect of MPA and MVPA on the thickness of ganglion cell-inner plexiform layer (GCIPL), macular thickness (MT), and inner nuclear layer-external limiting membrane was significantly associated with DR disease status (interaction P < 0.05). Higher MPA and MVPA were correlated with accelerated thickening rates of the GCIPL and MT sublayers, ranging from Pre-DM to those with established DR. 35.7% and 58.7% of the associations between MPA, MVPA, and the full spectrum DR were mediated by lower BMI, respectively.</p><p><strong>Conclusions: </strong>The diminution of PA is associated with the progression of DR and the attenuation of retinal sublayer thickness, and our findings support current PA recommendations promoting interventions to decelerate DR progression and preserve retinal health.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":"17 1","pages":"230"},"PeriodicalIF":3.4,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12175307/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144324693","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":"Exosomal FOXL1 from bone marrow mesenchymal stem cells activates the METTL3/ATXN2L pathway to ameliorate high glucose-induced human retinal microvascular endothelial cell injury.","authors":"Chao Niu, Daoquan Dong, Longjiang Cui, Yingli Dong, Wei Wang","doi":"10.1186/s13098-025-01804-7","DOIUrl":"10.1186/s13098-025-01804-7","url":null,"abstract":"<p><strong>Background: </strong>Bone marrow mesenchymal stem cells (BMSCs) and their secreted exosomes have been shown to possess therapeutic potential in various diseases, including diabetic retinopathy (DR). Retinal microvascular endothelial cell (RMEC) injury is a key factor in DR, and understanding the underlying molecular mechanisms is crucial for the treatment of DR. The study investigated the role of MSC-derived exosomes in RMEC injury and the underlying mechanism.</p><p><strong>Methods: </strong>Human retinal microvascular endothelial cells (HRMECs) were exposed to high glucose (HG) to establish an in vitro DR model. Exosomes were isolated from BMSCs using differential centrifugation and co-incubated with HRMECs for functional studies. mRNA expression of ataxin 2 like (ATXN2L), methyltransferase-like 3 (METTL3), and forkhead box L1 (FOXL1) was assessed by quantitative real-time polymerase chain reaction. Protein expression was evaluated by western blotting. Cell viability was measured with a cell counting kit-8 assay, and pro-inflammatory cytokines (TNF-α, IL-1β, and IL-6) were analyzed by enzyme-linked immunosorbent assays. Apoptosis was analyzed through flow cytometry. MDA levels, GSH-Px activity, and ROS levels were determined by colorimetric methods and fluorescence microscopy, respectively. The association of METTL3 with ATXN2L and FOXL1 was investigated using a dual-luciferase reporter assay and RNA immunoprecipitation assay.</p><p><strong>Results: </strong>HG treatment increased the secretion of pro-inflammatory factors, apoptosis rate, and oxidative stress in HRMECs. BMSC-derived exosomes inhibited inflammation, apoptosis and oxidative stress in HRMECs by transferring FOXL1 into HRMECs. FOXL1 functioned as an RNA-binding protein of METTL3, which stabilized ATXN2L mRNA expression through m6A methylation in HRMECs. ATXN2L expression was reduced in DR patients' serum and HG-treated HRMECs. Overexpression of ATXN2L mitigated the high glucose-induced inflammation, apoptosis, and oxidative stress in HRMECs.</p><p><strong>Conclusion: </strong>Exosomal FOXL1 from BMSCs stabilized METTL3 to increase ATXN2L expression, thus offering a protective effect against high glucose-induced injury in HRMECs. This finding holds clinical significance for the development of targeted therapies for DR.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":"17 1","pages":"229"},"PeriodicalIF":3.4,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12175385/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144324697","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":"Machine learning-based stratification of prediabetes and type 2 diabetes progression.","authors":"Marwa Matboli, Abdelrahman Khaled, Manar Fouad Ahmed, Manar Yehia Ahmed, Radwa Khaled, Gena M Elmakromy, Amani Mohamed Abdel Ghani, Marwa M El-Shafei, Marwa Ramadan M Abdelhalim, Asmaa Mohamed Abd El Gwad","doi":"10.1186/s13098-025-01786-6","DOIUrl":"10.1186/s13098-025-01786-6","url":null,"abstract":"<p><strong>Background: </strong>Diabetes mellitus, a global health concern with severe complications, demands early detection and precise staging for effective management. Machine learning approaches, combined with bioinformatics, offer promising avenues for enhancing diagnostic accuracy and identifying key biomarkers.</p><p><strong>Methods: </strong>This study employed a multi-class classification framework to classify patients across four health states: healthy, prediabetes, type 2 Diabetes Mellitus (T2DM) without complications, and T2DM with complications. Three models were developed using molecular markers, biochemical markers, and a combined model of both. Five machine learning classifiers were applied: Random Forest (RF), Extra Tree Classifier, Quadratic Discriminant Analysis, Naïve Bayes, and Light Gradient Boosting Machine. To improve the robustness and precision of the classification, Recursive Feature Elimination with Cross-Validation (RFECV) and a fivefold cross-validation were used. The multi-class classification approach enabled effective discrimination between the four diabetes stages.</p><p><strong>Results: </strong>The top contributing features identified for the combined model through RFECV included three molecular markers-miR342, NFKB1, and miR636-and two biochemical markers the albumin-to-creatinine ratio and HDLc, indicating their strong association with diabetes progression. The Extra Trees Classifier achieved the highest performance across all models, with an AUC value of 0.9985 (95% CI: [0.994-1.000]). This classifier outperformed other models, demonstrating its robustness and applicability for precise diabetes staging.</p><p><strong>Conclusion: </strong>These findings underscore the value of integrating machine learning with molecular and biochemical markers for the accurate classification of diabetes stages, supporting a potential shift toward more personalized diabetes management.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":"17 1","pages":"227"},"PeriodicalIF":3.4,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12175357/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144324698","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":"Association between abdominal fat distribution and urinary albumin/creatinine ratio in patients with type 2 diabetes mellitus.","authors":"Tianlu Shi, Ying Yang, Yunxia Liu, Min Zhang, Junran Shu, Shujin Wang, Tianxiao Zhang, Yu Niu","doi":"10.1186/s13098-025-01814-5","DOIUrl":"10.1186/s13098-025-01814-5","url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to assess the relationship between abdominal fat distribution (AFD) and urinary albumin/creatinine ratio (UACR) in Chinese adults.</p><p><strong>Methods: </strong>823 patients with type 2 diabetes mellitus(T2DM) were selected. Abdominal visceral fat area (VFA) and subcutaneous fat area (SFA) were measured using bioelectrical impedance analysis (BIA). Patients were divided into four groups: low VFA /low SFA, low VFA /high SFA, high VFA /low SFA, and high VFA /high SFA based on the median values (low: < median, high: ≥median).</p><p><strong>Results: </strong>In the multifactor analysis after adjusting for relevant factors, VFA, waist-to-height ratio (WHtR), waist-hip ratio (WHR), and waist circumference (WC) showed significant positive correlations with UACR, while SFA and BMI did not. AFD combinations were independent predictors of UACR. The risk of UACR30-300 mg/g was highest in the high VFA/low SFA group (OR = 3.12), and for UACR > 300 mg/g, it was highest in the high VFA/high SFA group (OR = 24.69). The areas under the receiver operating characteristic (ROC) curvefor VFA prediction of UACR ≥ 30 mg/g was 0.69, significantly greater than that for WHtR, WHR, and WC. Optimal cut-off values were 98.8 cm² for VFA. When analyzed by gender, the optimal cut-off values for VFA were 98.8 cm² for males and 102.3 cm² for females.</p><p><strong>Conclusion: </strong>Central obesity indicators (VFA, WHtR, WHR, WC) were associated with UACR. VFA was the strongest predictor for UACR ≥ 30 mg/g.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":"17 1","pages":"225"},"PeriodicalIF":3.4,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12175412/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144324663","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":"Decoding survival in MASLD: the dominant role of metabolic factors.","authors":"Zhiqiang Jin, Cheng Zeng, Yang Yang, Shan Zhong, Zhi Zhou","doi":"10.1186/s13098-025-01802-9","DOIUrl":"10.1186/s13098-025-01802-9","url":null,"abstract":"<p><strong>Background: </strong>Metabolic factors are considered to influence disease progression in patients with Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD), but the impact of individual metabolic factors on the survival rate of patients with MASLD is still unclear.</p><p><strong>Aims: </strong>This article aims to reveal how metabolic components affect the survival of patients with this disease.</p><p><strong>Methods: </strong>A total of 3,086 participants with MASLD based on the diagnostic criteria established at the Delphi conference from NHANES III were included in this analysis. COX regression model (C-index = 0.64) was used to analyze the all-cause and attributable mortality of different number of metabolic factors. Elastic Network Regression model (C-index = 0.69), Accelerated Failure Time model and Randomized Survival Forest model (C-index = 0.63) based on machine learning were used to analyze the weight of each metabolic factor, and a Metabolism-related survival risk score formula was established and verified.</p><p><strong>Results: </strong>This study found that not only the number of metabolic factors had different effects on all-cause survival in MASLD patients, but also the degree of impact of different metabolic factors on survival was quite different, among which poor glycemic control was the most important influencing factor.</p><p><strong>Conclusion: </strong>This study highlights the clinical value of relevant metabolic factors in predicting survival in the MASLD patient population. Related metabolic factors can be used as surrogate biomarkers for the follow-up of MASLD patients.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":"17 1","pages":"226"},"PeriodicalIF":3.4,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12175318/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144324694","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":"Utility of type 1 diabetes genetic risk score in a non-European population: insights from an Iranian cohort.","authors":"Maryam Moazzam-Jazi, Sara Asgarian, Farzad Hadaegh, Amirabbas Momenan, Leila Mahmoudieh, Leila Najd Hassan-Bonab, Sajedeh Masjoudi, Asieh Zahedi, Hossein Lanjanian, Mahdi Akbarzadeh, Mehdi Hedayati, Suad Alfadhli, Fereidoun Azizi, Maryam S Daneshpour","doi":"10.1186/s13098-025-01776-8","DOIUrl":"10.1186/s13098-025-01776-8","url":null,"abstract":"<p><strong>Background: </strong>The present study aimed to investigate the efficiency of the type 1 diabetes genetic risk score (T1D GRS) in distinguishing between patients with type 1 and type 2 diabetes in Iran, an underrepresented population in genomic research.</p><p><strong>Methods: </strong>We included 13,318 participants in the Tehran-Cardiometabolic Genetic Study (TCGS) cohort, classified into individuals without diabetes, with pre-diabetes, with type 2 diabetes, and with type 1 diabetes. Two T1D GRSs and one T2D GRS were calculated and compared between groups using the Wilcoxon test. The ability of genetic risk scores to discriminate T1D and T2D was assessed using the pROC package.</p><p><strong>Results: </strong>Both T1D GRSs displayed significantly higher scores in the T1D group than in other groups. Notably, T1D GRS2 effectively distinguished T1D from T2D in individuals diagnosed before age 40 (AUC = 0.8, P = 5.8e-7). This performance was even stronger for those under age 25 at diagnosis (AUC = 0.88, P = 3.2e-6). Additionally, we observed a higher median of the T1D GRS2 z-score within the T1D group and the T2D GRS z-score within the T2D group, further supporting the specificity of the tested GRSs in the Iranian population.</p><p><strong>Conclusion: </strong>Our findings suggest that T1D GRS2, particularly in younger patients, shows promise for improved T1D diagnosis and potentially newborn screening in this population. This could facilitate equitable access to precision medicine approaches for individuals in the area.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":"17 1","pages":"220"},"PeriodicalIF":3.4,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12175377/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144324700","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":"Effects of home- and gym-based resistance training on glycemic control in patients with type 2 diabetes mellitus-a systematic review and meta-analysis.","authors":"Magnus Bärg, Veronica Idiart-Borda Polotto, Stefanie Geiger, Steffen Held, Christian Brinkmann","doi":"10.1186/s13098-025-01793-7","DOIUrl":"10.1186/s13098-025-01793-7","url":null,"abstract":"<p><strong>Background: </strong>Targeting skeletal muscle mass and quality through resistance training (RT) may be a particularly promising approach for treating metabolic diseases. While the benefits of RT in managing type 2 diabetes mellitus (T2DM) are well established, most studies supporting these benefits have been conducted in controlled laboratory or gym settings. To date, it remains unclear whether home-based RT can be as effective as gym-based RT in improving the glycemic profile of patients with T2DM. Therefore, the primary aim of this meta-analysis was to compare the effects of home-based versus gym-based RT on glycemic control (HbA1c) in patients with T2DM.</p><p><strong>Methods: </strong>A systematic literature search was conducted using SPORTDiscus, PubMed and BISp SURF databases (updated until 2 August 2024). After screening, 20 controlled trials (involving 1397 participants) met the inclusion criteria.</p><p><strong>Results: </strong>A random-effects model revealed a significant effect of RT on glycemic control, with a pooled mean difference favoring RT versus control (mean difference: -0.33; 95% confidence interval (CI): -0.49 to -0.18). Gym-based RT significantly reduced HbA1c compared to control conditions (-0.39; 95% CI: -0.57 to -0.22), while home-based RT showed no significant effect (+0.12; 95% CI: -0.16 to +0.39). Heterogeneity was substantial, suggesting considerable variability between studies. The methodological quality score of the included studies, assessed using the PEDro (Physiotherapy Evidence Database) scale, ranged from 3 to 8, with an average score of 6 ± 1 (\"good\" quality).</p><p><strong>Conclusions: </strong>This meta-analysis confirms the effectiveness of RT in reducing HbA1c levels in individuals with T2DM. Notably, the present findings highlight that gym-based RT is effective, while home-based RT is not. Possible reasons include increased motivation by coaches or training buddies in the gym, resulting in increased adherence to the training program, as well as the limited availability of equipment or imprecise load dosing during home workouts.</p><p><strong>Review registration: </strong>CRD420250650823.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":"17 1","pages":"228"},"PeriodicalIF":3.4,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12175443/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144324695","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":"Preclinical evidence of the effect of icariin on diabetic nephropathy: a systematic review and meta-analysis.","authors":"Xueli Man, Peiyao Ren, Juan Jin, Qiang He","doi":"10.1186/s13098-025-01760-2","DOIUrl":"10.1186/s13098-025-01760-2","url":null,"abstract":"<p><strong>Background: </strong>Icariin (ICA), a bioactive flavonoid derived from Epimedium species, has demonstrated anti-inflammatory and anti-fibrotic properties in preclinical studies, suggesting potential therapeutic effects on diabetic nephropathy (DN). However, systematic evaluation of its efficacy remains unclear.</p><p><strong>Objective: </strong>The purpose of this study is to evaluate the efficacy of Icariin on DN by preclinical evidence and meta-analysis. Meanwhile, the main possible action mechanisms of Icariin against DN were also summarized.</p><p><strong>Methods: </strong>As of October 1, 2024, we conducted a systematic search across seven prominent Chinese and English databases (CNKI, Wanfang, CBM, PubMed, Cochrane Library, Embase, and Web of Science) to identify studies investigating the therapeutic effects of icariin on DN. PROSPERO has released a summary protocol (registration number: CRD42024564001).</p><p><strong>Results: </strong>This meta-analysis encompassed nine studies, involving a total of 308 animals, and revealed that icariin significantly reduced blood glucose, SCR, BUN, 24 h UP, 24 h UV, KI, MDA, and IL-1β levels, while augmenting antioxidant enzyme activities (SOD and GPX). Furthermore, ICA lowered TG and TC, indicative of its potential in mitigating risk factors. However, direct comparisons between ICA and angiotensin II receptor blockers (ARB) yielded no statistically significant differences in DN treatment outcomes (p > 0.05). The greatest effects were recorded in high-dose (> 30 mg/kg/day) groups rather than in low-dose (< 30 mg/kg/day) groups. For time-response effects, subgroup analysis indicated that intervention duration of ICA can influence the treatment effect, and more beneficial effects were observed when studies had a drug administration time of < 8 weeks.</p><p><strong>Conclusion: </strong>Based on an analysis of existing experimental evidence, icariin displays promise in slowing the progression of diabetic nephropathy. To validate its anti-diabetic nephropathy efficacy with greater precision and ensure its readiness for clinical translation, further confirmatory animal studies are warranted.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":"17 1","pages":"222"},"PeriodicalIF":3.4,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12175312/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144324699","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}