Cardiovascular Diabetology最新文献

{"title":"Comprehensive evaluation of the triglyceride glucose index (TyG) and body roundness index (BRI) on cardiovascular disease risk prediction: a 9-year prospective cohort study in Chinese middle-aged and older adults.","authors":"Mengyao Gu, Haofei Hu, Dayong Gu","doi":"10.1186/s12933-026-03092-5","DOIUrl":"https://doi.org/10.1186/s12933-026-03092-5","url":null,"abstract":"<p><strong>Background: </strong>Cardiovascular disease (CVD) remains a leading cause of mortality in China. The triglyceride-glucose (TyG) index and body roundness index (BRI)-have separately shown associations with CVD risk, but their interaction, as well as their combined effects and interplay with inflammatory markers remain unclear.</p><p><strong>Methods: </strong>We conducted a prospective cohort study using data from the China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2020. A total of 7,853 participants without pre-existing CVD were included. We examined mediation, cross-lagged path, interaction and joint association analysis to explore the interrelationships between TyG and BRI on CVD. Cox proportional hazards models and restricted cubic spline analysis, receiver operating characteristic (ROC), and weighted quantile sum (WQS) were performed to further investigate the associations between TyG, BRI, and CVD.</p><p><strong>Results: </strong>During a median follow-up of 9.0 years, 1,922 participants (24.48%) developed CVD. In fully adjusted models, baseline BRI mediated 40.14% of the association between baseline TyG and CVD risk, with an indirect effect HR of 1.053 (95% CI: 1.035-1.073). Follow-up BRI mediated 51.46% of the association between baseline TyG and CVD risk, with an indirect effect HR of 1.046 (95% CI: 1.028-1.068). Per standard deviation increase in baseline BRI led to an average increase of 0.12 standard deviation in follow-up TyG levels. A significant antagonistic interaction was observed, aligned with the finding that the combination of low TyG and high BRI presents the highest CVD risk. Additionally, WQS analysis highlights waist circumference (WC) as the most substantial contributor (weight = 0.523). Joint elevation of composite indexes (TyG-BRI and TyG + BRI) with hs-CRP further stratified CVD risk, with participants having elevated levels of all markers showing the highest risk. Composite indexes, particularly TyG + BRI, showed the highest CVD risk (HR: 1.773, 95% CI: 1.499-2.097), along with the limited discriminatory ability on CVD (AUC < 0.65).</p><p><strong>Conclusion: </strong>In conclusion, our study highlights the critical role of BRI as a mediator in the relationship between TyG and CVD risk. The findings indicate that both baseline and follow-up BRI significantly contribute to the pathway linking TyG to CVD, suggesting that individuals with higher BRI are at an increased risk. The antagonistic interaction underscores the complexity of metabolic risk factors in CVD development and emphasizes the need for a multifaceted approach in risk assessment and management. Future research should focus on elucidating the biological mechanisms underlying this interaction and exploring potential interventions that target body composition and metabolic health to mitigate CVD risk in high-risk populations.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":" ","pages":""},"PeriodicalIF":10.6,"publicationDate":"2026-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147763291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Novel OGTT metrics do not provide incremental predictive value beyond conventional glycemic criteria for remission of prediabetes in individuals with impaired fasting glucose: results from the PREVIEW trial.","authors":"Ruixin Zhu, Jie Guo, Gareth Stratton, Ian A Macdonald, Teodora Handjieva-Darlenska, Svetoslav Handjiev, Santiago Navas-Carretero, Sally D Poppitt, Marta P Silvestre, Mikael Fogelholm, Tanja Adam, Anne Raben, J Alfredo Martinez, Miao Xie, Jennie Brand-Miller","doi":"10.1186/s12933-026-03186-0","DOIUrl":"https://doi.org/10.1186/s12933-026-03186-0","url":null,"abstract":"","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":" ","pages":""},"PeriodicalIF":10.6,"publicationDate":"2026-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147763406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"GULP1 protects against diabetic cardiomyopathy through IKIP/NF-κB-dependent improvement of mitochondrial function.","authors":"Meng-Yuan Jiang, Xiao-Hua Zhang, Huan-Le Zhang, Yue Hou, Mei-Ying Qi, Yi-Xuan Zuo, Chuang Sun, Xin-Chun Dai, Ning-Ning Zhang, Tian-Qi Chen, Yan Zhang, Wan-Rong Man, Cong-Ye Li, Jie Lin, Wen Ge, Li-Yu Yang, Xing Qin, Dong-Dong Sun","doi":"10.1186/s12933-026-03184-2","DOIUrl":"https://doi.org/10.1186/s12933-026-03184-2","url":null,"abstract":"","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":" ","pages":""},"PeriodicalIF":10.6,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147763362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of various insulin resistance surrogate markers with mortality risk in critically ill patients with ischemic stroke: a retrospective cohort study.","authors":"Bo Wu, Wanli Yu, Bo Lin, Gang Zhang, Haotian Jiang, Dewei Zou, Chao Xu, Nan Wu","doi":"10.1186/s12933-026-03182-4","DOIUrl":"https://doi.org/10.1186/s12933-026-03182-4","url":null,"abstract":"<p><strong>Background: </strong>Ischemic stroke poses a substantial global health burden and represents one of the leading causes of death and disability. Insulin resistance (IR), a core feature of metabolic dysfunction, is recognized to play a critical role in the pathogenesis and progression of ischemic stroke. However, the predictive value of different surrogate markers of IR for mortality in patients with ischemic stroke remains unclear.</p><p><strong>Methods: </strong>Using the public eICU-CRD database, we screened 1709 critically ill patients with ischemic stroke admitted to the intensive care unit (ICU). Patients were stratified by quartiles according to 8 distinct IR surrogate markers. The primary endpoint was in-hospital mortality. Statistical analyses included Cox regression, Kaplan-Meier curves, and restricted cubic spline (RCS) models.</p><p><strong>Results: </strong>Among the 1709 ICU-admitted patients, 437 deaths occurred, with an in-hospital mortality rate of 25.57%. Multivariable Cox regression analyses demonstrated that all IR surrogate markers were significantly associated with mortality risk in patients with ischemic stroke. TyG-derived indices, TG-HDL, METS-IR, AIP, and CHG were positively correlated with mortality, whereas SPISE showed an inverse association (all P for trend < 0.05). Kaplan-Meier curves confirmed the associations between the 8 IR surrogate markers and in-hospital mortality. RCS analyses revealed nonlinear relationships between SPISE, TG-HDL, METS-IR, TyG-BMI, TyG-RC, CHG and all-cause mortality.</p><p><strong>Conclusion: </strong>Multiple IR surrogate markers independently predict in-hospital mortality in critically ill patients with ischemic stroke. Incorporation of these indices into risk stratification may facilitate early identification and targeted intervention for high-risk individuals.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":" ","pages":""},"PeriodicalIF":10.6,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147763341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Continuous glucose monitoring trajectories in patients with acute coronary syndrome.","authors":"Arancha Díaz-Expósito, Victoria García-Ruiz, Diego Castillo-Barnes, Andrés Ortiz, Jose Ignacio Larrubia-Valle, Agustín Molinero, Fernando Puyol-Ruiz, Oscar Barquero-Alegre, Nelsa González-Aguado, Laura Martín-Chaves, Jorge Segovia-Reyes, Cristobal Urbano-Carrillo, Juan José Gómez Doblas, Manuel Jiménez-Navarro, Jorge García-Alemán, Jorge Rodríguez-Capitán, Fernando Gómez Peralta, Francesco Costa","doi":"10.1186/s12933-026-03169-1","DOIUrl":"https://doi.org/10.1186/s12933-026-03169-1","url":null,"abstract":"","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":" ","pages":""},"PeriodicalIF":10.6,"publicationDate":"2026-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147728436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diabetes does not attenuate the benefit of physiology-guided complete revascularization in older patients with myocardial infarction.","authors":"Alberto Sarti, Filippo Maria Verardi, Caterina Cavazza, Andrea Erriquez, Gianni Casella, Vincenzo Guiducci, Raul Moreno, Javier Escaned, Federico Marchini, Marta Cocco, Serena Caglioni, Jacopo Farina, Giuseppe Vadalà, Alessandro Capecchi, Francesco Gallo, Enrico Cerrato, Alberto Menozzi, Jose Luiz Diez Gil, Ignacio Amat Santos, Marco Ruozzi, Marco Barbierato, Andrea Picchi, Rita Pavasini, Roberto Scarsini, Matteo Tebaldi, Gianluca Campo, Simone Biscaglia","doi":"10.1186/s12933-026-03165-5","DOIUrl":"https://doi.org/10.1186/s12933-026-03165-5","url":null,"abstract":"","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":" ","pages":""},"PeriodicalIF":10.6,"publicationDate":"2026-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147688324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The cholesterol, high-density lipoprotein, and glucose index and its derived indices predict diabetic kidney disease development and progression: evidence from two nationwide cohorts and a biopsy-proven clinical cohort.","authors":"Wen Cui, Shimin Jiang, Tianyu Yu, Zhenkun Yang, Jiahui Zhou, Lin Liu, Wenge Li","doi":"10.1186/s12933-026-03167-3","DOIUrl":"https://doi.org/10.1186/s12933-026-03167-3","url":null,"abstract":"","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":" ","pages":""},"PeriodicalIF":10.6,"publicationDate":"2026-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147670678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cumulative exposure and dynamic trajectories of the C-reactive protein-triglyceride-glucose index (CTI) versus the cholesterol, high-density lipoprotein, and glucose index (CHG) for incident hypertension prediction: a national cohort study.","authors":"Jiaqing Dou, Shuya Zhang, Chaofan Ding, Haoquan Li, Pengfei Zhang","doi":"10.1186/s12933-026-03175-3","DOIUrl":"https://doi.org/10.1186/s12933-026-03175-3","url":null,"abstract":"","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":" ","pages":""},"PeriodicalIF":10.6,"publicationDate":"2026-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147670697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lipid management in type 2 diabetes and non-HDL-cholesterol: target all atherogenic lipoproteins.","authors":"Julia Brandts, Marlo Verket, Alberto Zambon, Nikolaus Marx, Dirk Müller-Wieland, Massimo Federici","doi":"10.1186/s12933-026-03166-4","DOIUrl":"10.1186/s12933-026-03166-4","url":null,"abstract":"","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":" ","pages":""},"PeriodicalIF":10.6,"publicationDate":"2026-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13085282/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147670749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 cumulative exposure and change patterns of triglyceride-glucose index combined with novel obesity indices with glycemic transitions in prediabetes: evidence from the China Health and Retirement Longitudinal Study (CHARLS).","authors":"Chunying Wang, Yi Peng, Gui Cheng, Qianwen Duan, Wei Wang, Nan Peng","doi":"10.1186/s12933-026-03152-w","DOIUrl":"https://doi.org/10.1186/s12933-026-03152-w","url":null,"abstract":"<p><strong>Background: </strong>Prior research indicates that the triglyceride-glucose (TyG) index and its derivatives are cost-effective and easily accessible tools for assessing glucose metabolism risk. This study aimed to systematically evaluate the longitudinal associations between TyG-novel obesity indices [TyG-body roundness index (TyG-BRI), TyG-chinese visceral adiposity index (TyG-CVAI), TyG-weight-adjusted waist index (TyG-WWI), TyG-a body shape index (TyG-ABSI)] and glycemic transitions in individuals with prediabetes.</p><p><strong>Methods: </strong>This analysis used data from the China Health and Retirement Longitudinal Study, encompassing 2004 participants with prediabetes. Employing longitudinal data from baseline and a 3‑year follow‑up, we systematically quantified the baseline values, cumulative exposure, and change patterns of TyG‑novel obesity indices. Multiple statistical models were applied to assess the associations of these indices with glycemic transitions in prediabetes and to examine the potential mediating effect of inflammatory burden.</p><p><strong>Results: </strong>During follow‑up, 306 participants progressed to diabetes and 452 reverted to normoglycemia. Compared with static baseline measurements, cumulative exposure and change patterns of TyG‑novel obesity indices strengthened their associations with glycemic transitions. Notably, TyG-BRI and TyG-CVAI exhibited the strongest associations at baseline, whereas TyG-WWI showed the most prominent performance in the analyses of both cumulative exposure and change patterns. Compared with individuals exhibiting well-controlled (low baseline with a slight increase over follow-up) or low cumulative exposure, those with poor control (high baseline and minimal change over follow-up) or the highest cumulative exposure to TyG-WWI, TyG-ABSI, TyG-BRI, and TyG-CVAI faced a significantly higher risk of diabetes progression, with TyG-WWI showing the strongest association with diabetic outcomes. Conversely, elevated levels of all four TyG-novel obesity indices were associated with a reduced likelihood of reverting to normoglycemia, with the strongest inverse associations observed for TyG-BRI (both at baseline and cumulative exposure) and TyG‑WWI (cumulative exposure). For the predictive analysis of glycemic status transitions in prediabetes, the continuous net reclassification improvement demonstrated that the TyG-BRI model exhibited the greatest ability to reclassify individuals into more accurate risk categories, followed by TyG-CVAI, TyG-WWI, and TyG-ABSI. Finally, mediation analysis showed that the progression of prediabetes associated with the TyG-novel obesity indices was partially mediated (2%) by long-term inflammatory burden.</p><p><strong>Conclusion: </strong>Cumulative exposure and change patterns of TyG-novel obesity indices are significant factors influencing glycemic transitions in individuals with prediabetes.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":" ","pages":""},"PeriodicalIF":10.6,"publicationDate":"2026-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147662231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}