Hanying Wang, Liping Gu, Yuhang Ma, Xindan Xing, Yuan Qu, Xin Shi, Xinyi Liu, Hancong Wan, Qian Zhu, Yingchen Shen, Chong Chen, Li Su, Yufan Wang, Kun Liu
{"title":"High levels of serum uric acid are associated with microvascular complications in patients with long-term diabetes.","authors":"Hanying Wang, Liping Gu, Yuhang Ma, Xindan Xing, Yuan Qu, Xin Shi, Xinyi Liu, Hancong Wan, Qian Zhu, Yingchen Shen, Chong Chen, Li Su, Yufan Wang, Kun Liu","doi":"10.1186/s13098-025-01656-1","DOIUrl":"10.1186/s13098-025-01656-1","url":null,"abstract":"<p><strong>Aims: </strong>To assess the association between serum uric acid (SUA) level and the prevalence of diabetic retinopathy (DR) and chronic kidney disease (CKD) in patients with long-term diabetes.</p><p><strong>Methods: </strong>A cross-sectional analysis was conducted involving diabetic patients from Shanghai General hospital during October 2018 and October 2021. Participants underwent measurements of SUA, renal function test and DR assessments via fundus photography. Multivariable ordinal logistic regression models assessed odd ratios (ORs) and 95% confidence intervals (95% CIs) for the progression of DR and CKD. Receiver operating characteristics (ROC) curves identified SUA thresholds, categorizing participants into low and high SUA groups.</p><p><strong>Results: </strong>Among the 1015 patients with diabetes, SUA levels were higher in individuals with advanced CKD stages (p < 0.001, compared with stage 1 CKD) and vision-threatening diabetic retinopathy (VTDR) (p = 0.019, compared with no diabetic retinopathy (NDR)). In multivariable models adjusted for potential confounders, higher SUA levels were associated with an increased risk of DR (OR: 1.002, 95% CI: 1.001-1.004) and CKD (OR: 1.008, 95% CI: 1.006-1.011). Notably, SUA levels exceeding 354.0 µmol/L (95% CI: 318.9-393.2) and 361.0 µmol/L (339.2-386.3) were associated with 1.571-fold (95% CI: 1.139-2.099, P = 0.006 for DR) and 1.395-fold (95% CI: 1.033-1.885, P = 0.030 for CKD) increased risks, respectively. Gender-specific analyses also demonstrated a positive correlation between higher SUA levels and the incidence of DR and CKD in both males and females.</p><p><strong>Conclusions: </strong>Elevated SUA levels are independently coincided with increased risks of DR and CKD, suggesting that SUA may serve as a potential risk marker for diabetic complications.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":"17 1","pages":"106"},"PeriodicalIF":3.4,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11951721/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143729284","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}
Juntao Tan, Jinglong Du, Jiaxiu Liu, Wenlong Zhao, Yanbing Liu
{"title":"Prognostic effect of neutrophil percentage-to-albumin ratio (NPAR) on all-cause and cardiovascular mortality in diabetic kidney disease (DKD): NHANES 1999-2018.","authors":"Juntao Tan, Jinglong Du, Jiaxiu Liu, Wenlong Zhao, Yanbing Liu","doi":"10.1186/s13098-025-01674-z","DOIUrl":"10.1186/s13098-025-01674-z","url":null,"abstract":"<p><strong>Background: </strong>This study aimed to evaluate the associations between neutrophil percentage-to-albumin ratio (NPAR) and both all-cause and cardiovascular mortality in diabetic kidney disease (DKD) patients.</p><p><strong>Methods: </strong>The data for this study were sourced from the National Health and Nutrition Examination Survey (NHANES) 1999-2018. Weighted logistic regression, Cox proportional hazards model, and Fine-Gray competing risk model were used to assess the association between NPAR and both all-cause and cardiovascular mortality in DKD patients.</p><p><strong>Results: </strong>A total of 2,699 participants were enrolled in this study. Cox regression analysis revealed that elevated NPAR levels were associated with a higher risk of all-cause mortality in all participants (HR: 2.17, 95%CI: 1.83-2.58). Meanwhile, a significant difference in cardiovascular mortality was observed in males (HR: 1.83, 95%CI: 1.42-2.38) but not in females. Finally, the adjusted Fine-Gray model identified NPAR as an independent predictor of cardiovascular mortality in males (SHR: 1.86 95%CI: 1.28-2.72) but not in females.</p><p><strong>Conclusions: </strong>In a nationally representative sample of DKD participants in the US, a significant association was detected between elevated NPAR and increased all-cause and cardiovascular mortality. In addition, gender differences in the relationship between NPAR and both all-cause and cardiovascular mortality were also observed.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":"17 1","pages":"105"},"PeriodicalIF":3.4,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11951754/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143728545","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":"Genetically predicted amino acids related to neural regulation mediate the association between diabetes mellitus and postherpetic neuralgia: a Mendelian randomization study.","authors":"Haoning Lan, Zhangran Ai, Songchao Xu, Huili Li, Zhong Feng, Ruijuan Guo, Yun Wang","doi":"10.1186/s13098-025-01672-1","DOIUrl":"10.1186/s13098-025-01672-1","url":null,"abstract":"<p><strong>Background: </strong>Postherpetic neuralgia (PHN) and diabetes mellitus frequently coexist in clinical settings; however, the causal relationship between them remains unclear. Moreover, the potential mediating role of amino acids related to neural regulation in this association has not been fully explored yet.</p><p><strong>Methods: </strong>Univariable Mendelian randomized (UVMR) was utilized to examine the causal relationship between various subtypes of diabetes mellitus and PHN, with the inverse variance weighted method as the main approach. Multivariable MR (MVMR) was conducted to assess the direct effect of diabetes mellitus, accounting for waist circumference, diabetic neuropathy/ulcers, and depression. Moreover, a two-step MR analysis was employed to investigate the mediating role of neurotransmitter-related amino acids in the association between diabetes mellitus and PHN.</p><p><strong>Results: </strong>A significant statistical correlation was found between type 2 diabetes mellitus (T2DM) and PHN (odds ratio, OR: 1.23, 95% confidence interval, CI: 1.01-1.49, P = 0.036), while in type 1 diabetes mellitus or pregnancy diabetes mellitus, no evidence of the association with PHN was observed. MVMR analyses demonstrated that the effect of T2DM on PHN remained significant after adjusting for waist circumference, diabetic neuropathy/ulcers, and depression. Further mediation analysis revealed that phenylalanine accounted for 49.2% (95% CI: 22.7- 75.6%) of the total effect of T2DM on PHN.</p><p><strong>Conclusion: </strong>The current study suggested that T2DM was associated with an increased risk of PHN, with phenylalanine playing a mediating role. These findings provided valuable insights for the screening and prevention of PHN in clinical practice.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":"17 1","pages":"104"},"PeriodicalIF":3.4,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11951531/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143729283","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 the stress hyperglycemia ratio for all-cause and cardiovascular mortality in population with cardiovascular-kidney-metabolic syndrome stages 0-4: evidence from a large cohort study.","authors":"Fan-Shun Guo, Jia-Hao Dou, Jun-Xiang Wang, Chen Guo, Rui-Yun Wu, Xue-Lu Sun, Yi-Wei Hu, Jin Wei","doi":"10.1186/s13098-025-01671-2","DOIUrl":"10.1186/s13098-025-01671-2","url":null,"abstract":"<p><strong>Background: </strong>The Cardiovascular-kidney-metabolic (CKM) syndrome is a health disorder caused by interactions between cardiovascular disease, kidney disease, and metabolism-related risk factors. The stress hyperglycemia ratio (SHR) has been shown to correlate with the prognosis of participants with diabetes mellitus, heart failure, and myocardial infarction. However, the predictive value of SHR in the CKM syndrome population is unclear and requires further exploration.</p><p><strong>Methods: </strong>This study analyzed 19,345 participants from the National Health and Nutrition Examination Survey (1999-2018). CKM syndrome was staged according to the American Heart Association (AHA) guidelines. SHR was calculated using fasting blood glucose (FBG) and glycated hemoglobin type A1c (HbA1c). Participants were grouped into four quartiles based on SHR. The primary and secondary outcomes were all-cause mortality and cardiovascular mortality, respectively. Kaplan-Meier survival curves and Cox proportional hazard regression models were used to evaluate the association between SHR and outcomes. Then, the potential nonlinear relationship was explored using restricted cubic spline (RCS) analysis. We also performed subgroup analyses to assess the effects of different variables.</p><p><strong>Results: </strong>A total of 2,736 all-cause deaths and 699 cardiovascular deaths were recorded during a median follow-up period of 115 months. Kaplan-Meier analysis revealed that participants in quartile 2 had the lowest risk for both all-cause and cardiovascular mortality (Log Rank P < 0.05). Multivariate Cox regression demonstrated the lowest all-cause mortality in the 2nd quartile (HR = 0.84, 95% CI = 0.73-0.97, P = 0.015) and the highest all-cause mortality in the 4th quartile (HR = 1.19, 95% CI = 1.03-1.37, P = 0.018), compared with the 1st quartile group of SHR. The RCS curve demonstrated a U-shape association of SHR with both all-cause and cardiovascular mortality, with the lowest points of 0.89 and 0.91, respectively.</p><p><strong>Conclusions: </strong>SHR is strongly correlated with prognosis in the CKM syndrome population, with high or low SHR increasing the risk of death. This index shows great potential for predicting the risk of death in this population.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":"17 1","pages":"109"},"PeriodicalIF":3.4,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11951755/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143729193","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}
Tahsin Taner Karaevren, Refika Yorulmaz, Mahinur Cerit, Halit Nahit Şendur, Burak Kalafat, Gizem Yaz Aydın, Özlem Gülbahar, Mehmet Muhittin Yalçın, Ayhan Karakoç, Müjde Aktürk, Füsun Baloş Törüner, Alev Eroğlu Altınova, Taha Enes Çetin, Ethem Turgay Cerit
{"title":"Fatty pancreas disease in newly diagnosed type 2 diabetes patients: a case-control study on relationships with glycemic control and exocrine function.","authors":"Tahsin Taner Karaevren, Refika Yorulmaz, Mahinur Cerit, Halit Nahit Şendur, Burak Kalafat, Gizem Yaz Aydın, Özlem Gülbahar, Mehmet Muhittin Yalçın, Ayhan Karakoç, Müjde Aktürk, Füsun Baloş Törüner, Alev Eroğlu Altınova, Taha Enes Çetin, Ethem Turgay Cerit","doi":"10.1186/s13098-025-01663-2","DOIUrl":"10.1186/s13098-025-01663-2","url":null,"abstract":"<p><strong>Background: </strong>Fatty pancreas disease (FPD) is characterized by abnormal fat accumulation in pancreatic tissue and is often associated with obesity, metabolic syndrome, and type 2 diabetes mellitus (T2DM). While its pathophysiology and impact on pancreatic functions have been explored, the interplay between FPD, glycemic control, and exocrine dysfunction in T2DM remains inadequately defined. This study aimed to evaluate the presence of FPD, the factors affecting it, and its relationship with endocrine and exocrine pancreatic functions in newly diagnosed T2DM.</p><p><strong>Methods: </strong>A total of 126 individuals were included in the study, comprising 63 newly diagnosed T2DM patients and 63 healthy controls matched for age, sex, body mass index and body fat distribution. Body composition, biochemical parameters (glucose, insulin, C-peptide, HbA1c), fecal elastase levels, and pancreatic/hepatic steatosis grades (evaluated using ultrasonography) were assessed.</p><p><strong>Results: </strong>Newly diagnosed T2DM patients presented significantly higher hepatic steatosis grades (p = 0.018) and lower fecal elastase levels (p < 0.001) compared to controls. Pancreatic exocrine insufficiency was more prevalent in the T2DM group (p < 0,001). A positive correlation was observed between the FPD grade, hepatic steatosis grade, and hepatic fat fraction. A negative and statistically significant correlation (p < 0.05) was observed between FPD grade and fecal elastase level (r = -0.264). HbA1c levels demonstrated a nonlinear (inverse U-shaped) relationship with FPD, peaking at 9.8% and declining thereafter, while showing a continuous negative relationship with fecal elastase levels. HbA1c predicted low fecal elastase (< 200 μg/g) with a cutoff value of 7.4%. Patients with HbA1c levels > 9.8% presented with reduced FPD alongside persistent exocrine insufficiency.</p><p><strong>Conclusions: </strong>Fatty pancreas disease is closely associated with hepatic steatosis, glycemic control, and exocrine pancreatic dysfunction in newly diagnosed T2DM patients. The interplay between FPD, glycemic control, and exocrine dysfunction highlights the need for comprehensive metabolic assessments in this population.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":"17 1","pages":"107"},"PeriodicalIF":3.4,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11951613/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143729281","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":"Genetic association of long non-coding RNA ANRIL polymorphism with the risk of type 2 diabetes mellitus in the Chinese Han population.","authors":"Xinyi Li, Aige Yang, Xiao Liu, Rui Zhang, Huimin Zhou, Shunjiang Xu","doi":"10.1186/s13098-025-01670-3","DOIUrl":"10.1186/s13098-025-01670-3","url":null,"abstract":"<p><strong>Background: </strong>Type 2 diabetes mellitus (T2DM) is closely associated with both environmental and genetic factors, involving multi-gene inheritance. This study examined the association between the polymorphic locus rs10757278 in long non-coding RNA ANRIL and T2DM.</p><p><strong>Methods: </strong>Polymerase chain reaction (PCR) was used to detect the rs10757278 polymorphism in the ANRIL gene. RT-qPCR measured ANRIL expression levels, and logistic regression identified independent risk factors for T2DM. Furthermore, the receiver operating characteristic (ROC) curve was constructed to evaluate the clinical diagnostic value of serum ANRIL levels in diagnosing T2DM.</p><p><strong>Results: </strong>The rs10757278 polymorphism of the ANRIL was associated with the development of T2DM. Specifically, the G allele increases the risk of T2DM, and individuals carrying the GG genotype have a higher risk of developing the disease. Significant differences were found in low-density lipoprotein cholesterol (LDL-C), fasting plasma glucose (FPG), and glycated hemoglobin (HbA1c) among T2DM patients with different genotypes of ANRIL rs10757278. The relative FPG and HbA1c levels were relatively lower in individuals with the AA genotype and higher in those with the GG genotype. Moreover, serum ANRIL levels in the T2DM group were lower than in the control group. Body mass index (BMI), the rs10757278 locus, and serum ANRIL levels were independent risk factors for the development of T2DM. The ROC curve showed that serum ANRIL levels have significant clinical diagnostic value for the diagnosis of T2DM.</p><p><strong>Conclusion: </strong>The rs10757278 polymorphism in ANRIL was strongly associated with the genetic predisposition to T2DM.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":"17 1","pages":"108"},"PeriodicalIF":3.4,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11951501/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143729282","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}
Yang Zhou, Yupeng Chen, Yiting Tang, Shan Zhang, Zifan Zhuang, Qing Ni
{"title":"Rising tide: the growing global burden and inequalities of early-onset type 2 diabetes among youths aged 15-34 years (1990-2021).","authors":"Yang Zhou, Yupeng Chen, Yiting Tang, Shan Zhang, Zifan Zhuang, Qing Ni","doi":"10.1186/s13098-025-01673-0","DOIUrl":"10.1186/s13098-025-01673-0","url":null,"abstract":"<p><strong>Background: </strong>Type 2 diabetes mellitus (T2DM) is increasingly affecting people aged 15-34, posing a serious public health challenge due to its faster progression and higher complication risks. This study examines the global, regional, and national burden of early-onset T2DM from 1990 to 2021, emphasizing trends and disparities across different sociodemographic contexts.</p><p><strong>Methods: </strong>Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021, we analyzed incidence, prevalence, mortality, disability-adjusted life years (DALYs), years lived with disability (YLDs), and years of life lost (YLLs) in people aged 15-34. Stratifications included age, sex, and the Socio-Demographic Index (SDI). Joinpoint regression significant temporal shifts, and decomposition analysis attributed changes in T2DM burden to factors such as prevalence, population growth, aging, and case fatality rates. Inequality was assessed with the Slope Index of Inequality and Concentration Index.</p><p><strong>Results: </strong>From 1990 to 2021, early-onset T2DM incidence and prevalence rose significantly worldwide, especially in high-SDI regions. Although global mortality and DALYs appeared relatively stable, low-SDI regions showed worrisome increases. Rising T2DM prevalence was the principal driver of mortality and DALYs, notably in low- and middle-SDI regions. Inequality analyses indicated widening disparities, with higher incidence and prevalence in high-SDI countries and more severe outcomes in low-SDI countries.</p><p><strong>Conclusions: </strong>The global burden of early-onset T2DM among youths is escalating, with significant disparities across different sociodemographic levels. The findings underscore the urgent need for targeted public health interventions. Future research should focus on the underlying factors driving these trends and explore strategies for effective prevention and management of early-onset T2DM.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":"17 1","pages":"103"},"PeriodicalIF":3.4,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11948681/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143718173","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 diabetic nephropathy with lipid metabolism: a Mendelian randomization study.","authors":"Pengfei Xie, Weinan Xie, Zhaobo Wang, Ziwei Guo, Rumeng Tang, Haoyu Yang, Yu Wei, Ling Zhou, Yishan Huang, Linhua Zhao, Lili Zhang","doi":"10.1186/s13098-025-01641-8","DOIUrl":"10.1186/s13098-025-01641-8","url":null,"abstract":"<p><strong>Objective: </strong>Patients with diabetic nephropathy (DN) often present with lipid profile abnormalities. While associations between these parameters and DN have been suggested, confounding factors obscure causal relationships. This study employed bidirectional Mendelian randomization (MR) to explore these links.</p><p><strong>Methods: </strong>Using genome-wide association study (GWAS) data, the primary analysis used the inverse-variance weighted (IVW) method, which was supported by MR-Egger regression and a weighted median estimator (WME). Sensitivity analyses, including heterogeneity, pleiotropy tests, leave-one-out, and reverse causality analyses, were conducted.</p><p><strong>Results: </strong>The IVW model revealed the following: (1) causal relationships between triglycerides (TG) (OR: 1.5807, 95% CI: 1.2578-1.9865, P = 0.0001), high-density lipoprotein cholesterol (HDL-C) (OR: 0.7342, 95% CI: 0.5729-0.9409, P = 0.0146), and apolipoprotein A1 (ApoA1) (OR: 0.6506, 95% CI: 0.5190-0.8156, P = 0.0002) and DN; (2) causal relationships between TG (OR: 1.0607, 95% CI: 1.0143-1.1093, P = 0.0098), HDL-C (OR: 0.9453, 95% CI: 0.9053-1.9871, P = 0.0109), and apolipoprotein B (ApoB) (OR: 1.0672, 95% CI: 0.0070-1.1310, P = 0.0280) and the urinary albumin-creatinine ratio (UACR); (3) no causal relationship between total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), ApoB and DN, or between TC, LDL-C, ApoA1 and UACR; (4) none of the results showed reverse causality.</p><p><strong>Conclusion: </strong>TG is a risk factor for DN and UACR; HDL-C is protective for both; ApoA1 protects against DN; and ApoB is a risk factor for UACR. To further explore the underlying mechanisms between TG, HDL-C, ApoA1, ApoB, and their associations with DN and UACR, and to provide reference for the selection of lipid management and treatment strategies for clinical DN patients. This study demonstrated that causal relationships between TG, HDL-C, and ApoA1 with DN and between TG, HDL-C, and ApoB with the UACR.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":"17 1","pages":"102"},"PeriodicalIF":3.4,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11938690/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143709091","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":"Exploring the impact of glycemic variability on clinical outcomes in critically ill cerebral infarction patients.","authors":"Hui Yang, Hongcai Wang, Yan Jiang","doi":"10.1186/s13098-025-01676-x","DOIUrl":"10.1186/s13098-025-01676-x","url":null,"abstract":"<p><strong>Background: </strong>Glycemic variability (GV) is a key determinant of outcomes in critically ill patients, yet its impact on cerebral infarction patients in intensive care units (ICUs) remains underexplored. This study evaluates the association between GV and clinical outcomes, including discharge outcomes, 90-day and 1-year mortality, and ICU/hospital length of stay (LOS).</p><p><strong>Methods: </strong>This retrospective study of 778 cerebral infarction patients from the MIMIC-IV database assessed GV, calculated as the glucose standard deviation-to-mean ratio during ICU stays. Regression models evaluated GV's impact on discharge outcomes, mortality, and ICU/hospital LOS, with adjustments for confounders. Restricted cubic spline analyses identified risk thresholds, while sensitivity and subgroup analyses validated findings. Predictive performance was assessed using AUC, NRI, and IDI, and multiple imputation methods addressed missing data.</p><p><strong>Results: </strong>Higher GV was significantly linked to adverse outcomes. Patients in the highest GV quartile had increased risks of poor discharge outcomes (adjusted OR: 1.83; 95% CI: 1.03-3.32; P = 0.042), 90-day mortality (adjusted HR: 1.51; 95% CI: 1.03-2.22; P = 0.036), and 1-year mortality (adjusted HR: 1.53; 95% CI: 1.07-2.18; P = 0.018). RCS analysis identified critical GV thresholds (≥ 11% for 90-day and ≥ 10% for 1-year mortality). Subgroup analysis revealed stronger associations between GV and poor outcomes in non-diabetic patients (adjusted OR: 1.89; 95% CI: 1.24-2.88; P = 0.003) compared to diabetic patients (adjusted OR: 0.81; 95% CI: 0.53-1.25; P = 0.337). Sensitivity analyses confirmed the robustness of findings across imputation methods.</p><p><strong>Conclusions: </strong>GV independently predicts poor outcomes in ICU cerebral infarction patients. Integrating GV metrics into clinical workflows may improve risk stratification and guide interventions. Future research should validate these findings and explore strategies to reduce GV.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":"17 1","pages":"100"},"PeriodicalIF":3.4,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11934728/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143699793","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 the interaction between interleukin-1β gene polymorphism and smoking status with the diabetic nephropathy risk in a Chinese Han population.","authors":"Tianyue Xie, Zhuqi Tang","doi":"10.1186/s13098-025-01667-y","DOIUrl":"10.1186/s13098-025-01667-y","url":null,"abstract":"<p><strong>Objectives: </strong>we aimed to evaluate the association of interleukin-1β (IL-1β) gene single nucleotide polymorphisms (SNPs) and its interaction with smoking status on diabetic nephropathy (DN) risk in a Chinese Han population.</p><p><strong>Methods: </strong>The Hardy-Weinberg equilibrium (HWE) was tested by using SNPStats ( https://www.snpstats.net/start.htm ), which was also used for testing the relationship between four SNPs and DN risk and haplotype analysis. The SNP- SNP and gene- smoking interaction were verified by using generalized multifactor dimensionality reduction (GMDR) model.</p><p><strong>Results: </strong>Logistic regression suggested that the DN risks of participants with rs16944- G allele were significantly higher than those with AA genotype, adjusted OR (95%CI) = 1.62 (1.24-2.01) for AG versus AA, 1.41 (0.75-2.12) for GG versus AA. Additionally, we also found that participants with rs3917356- T allele had an obviously higher DN risk than those with CC genotype, adjusted OR (95%CI) = 1.75 (1.34-2.19) for CT versus CC, 1.87 (1.23-2.54) for TT versus CC. GMDR model found a significant two-locus model (P = 0.011) including rs16944 and smoking. Compared with non- smokers with rs16944- AA genotype, smokers with rs1225404 AG or GG genotype had the highest DN risk after covariates adjustment, OR (95%CI) was 3.04 (1.98-4.12). We also found a haplotype containing rs1143634- T and rs3917356- T was associated with higher DN risk.</p><p><strong>Conclusions: </strong>we found that the rs16944- G and rs3917356- T allele, interaction between rs16944 and smoking, haplotype containing rs1143634- T and rs3917356- T were all associated with increased DN risk.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":"17 1","pages":"101"},"PeriodicalIF":3.4,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11934520/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143699632","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}