Cardiovascular Diabetology最新文献

{"title":"Low LDL particle levels associate with coronary arteries free from atherosclerosis in long-term type 1 diabetes: the Dialong study.","authors":"Marte Narum, Jacob Juel Christensen, Kirsten B Holven, Tore Julsrud Berg, Kari Anne Sveen","doi":"10.1186/s12933-025-02844-z","DOIUrl":"https://doi.org/10.1186/s12933-025-02844-z","url":null,"abstract":"<p><strong>Background: </strong>The risk of developing coronary artery disease (CAD) is increased in type 1 diabetes, due to accelerated atherosclerosis. The molecular mechanisms are yet to be unraveled, but potential functional and quantitative abnormalities in lipoproteins are suggested to be involved. Some individuals have coronary arteries free from atherosclerosis even after living with type 1 diabetes for many decades. We therefore aimed to investigate the associations between a set of lipoproteins and metabolites and the presence of coronary arteries free from atherosclerosis in individuals with long-term type 1 diabetes.</p><p><strong>Methods: </strong>Cross-sectional, controlled study of 102 participants with type 1 diabetes and 61 control subjects. We used a high-throughput nuclear magnetic resonance (NMR) spectroscopy platform to quantify circulating lipids and metabolites in serum. In participants without previously established coronary heart disease (CHD) we performed computed tomography coronary angiography (CTCA).</p><p><strong>Results: </strong>In the diabetes group, mean age was 62 (7) [mean (standard deviation, SD)] year and diabetes duration 50.6 (4.9) years. Lower particle concentration of all LDL subclass particles associated significantly with higher odds of having coronary arteries free from atherosclerosis (p < 0.05). Low particle concentration of all LDL subclasses also associated significantly with normal Coronary Artery Calcium (CAC) score (p < 0.05 for all), after adjustment for age, sex, BMI, eGFR and statin treatment. The whole diabetes group, independent of presence of CAD, had significantly lower particle concentration of IDL and all LDL and VLDL subclass particles compared to the control group (p < 0.05 for all).</p><p><strong>Conclusions: </strong>In this cohort of long-term survivors of type 1 diabetes, lower levels of all types of LDL particles associated significantly with higher odds of having coronary arteries free from atherosclerosis, after adjustment for statin treatment. These results emphasize the importance of early treatment start and lipid management in the development of CAD in type 1 diabetes and suggest a subgroup of long-term survivors of type 1 diabetes to may hold environmental or genetic protective beneficial traits, independent of statin use. More research on the role of lipoproteins in the development of atherosclerosis in patients with type 1 diabetes is needed.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":"24 1","pages":"297"},"PeriodicalIF":8.5,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144697687","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":"C-reactive protein-triglyceride glucose index in evaluating cardiovascular disease and all-cause mortality incidence among individuals across stages 0-3 of cardiovascular-kidney-metabolic syndrome: a nationwide prospective cohort study.","authors":"Huiwen Ou, Miaomiao Wei, Xin Li, Xiaoshuang Xia","doi":"10.1186/s12933-025-02848-9","DOIUrl":"https://doi.org/10.1186/s12933-025-02848-9","url":null,"abstract":"<p><strong>Objective: </strong>The American Heart Association (AHA) developed the notion of cardiovascular-kidney-metabolic (CKM) syndrome, which emphasizes the interconnection of heart, kidney, and metabolic illnesses. The C-reactive protein-triglyceride-glucose (CTI) represents a potential indicator to assess the resistance to insulin and an inflammatory response. However, the connection among CTI, cardiovascular disease (CVD) incidence, and overall mortality rates remains uncertain, particularly among individuals at CKM stages 0-3.</p><p><strong>Methods: </strong>The China Health and Retirement Longitudinal Study (CHARLS) enrolled 17,705 middle-aged and elderly people. The primary outcome was the occurrence of CVD and overall mortality rates. The CTI was obtained by 0.412 * Ln (CRP [mg/L]) + Ln (TG [mg/dL] × FPG [mg/dL])/2. The correlation among CTI and CVD incidence and overall mortality was assessed via Cox proportional hazard models, Kaplan-Meier curves and restricted cubic spline (RCS) analysis. To improve the study results, a stratified analysis evaluated the influence of varying socio-demographic characteristics.</p><p><strong>Results: </strong>This study involved 5723 participants for CVD and 5847 participants for all-cause mortality in the CKM syndrome stages 0-3. RCS analysis revealed a notable non-linear association between CTI and CVD occurrence, as well as a linear association between CTI and all-cause death. After comprehensive multivariate adjustment, the data showed a striking 111% increase in overall mortality risk for every 1-unit rise in continuous CTI measurements.</p><p><strong>Conclusions: </strong>Findings show that higher CTI level significantly associated with CVD and death risk, highlighting its potential as a biomarker for individuals with CKM stages 0-3.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":"24 1","pages":"296"},"PeriodicalIF":8.5,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144688905","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":"AI-Driven segmentation and morphogeometric profiling of epicardial adipose tissue in type 2 diabetes.","authors":"Fan Feng, Abdallah I Hasaballa, Ting Long, Xinyi Sun, Justin Fernandez, Carl-Johan Carlhäll, Jichao Zhao","doi":"10.1186/s12933-025-02829-y","DOIUrl":"10.1186/s12933-025-02829-y","url":null,"abstract":"<p><strong>Background: </strong>Epicardial adipose tissue (EAT) is associated with cardiometabolic risk in type 2 diabetes (T2D), but its spatial distribution and structural alterations remain understudied. We aim to develop a shape-aware, AI-based method for automated segmentation and morphogeometric analysis of EAT in T2D.</p><p><strong>Methods: </strong>A total of 90 participants (45 with T2D and 45 age-, sex-matched controls) underwent cardiac 3D Dixon MRI, enrolled between 2014 and 2018 as part of the sub-study of the Swedish SCAPIS cohort. We developed EAT-Seg, a multi-modal deep learning model incorporating signed distance maps (SDMs) for shape-aware segmentation. Segmentation performance was evaluated using the Dice similarity coefficient (DSC), the 95% Hausdorff distance (HD95), and the average symmetric surface distance (ASSD). Statistical shape analysis combined with partial least squares discriminant analysis (PLS-DA) was applied to point cloud representations of EAT to capture latent spatial variations between groups. Morphogeometric features, including volume, 3D local thickness map, elongation and fragmentation index, were extracted and correlated with PLS-DA latent variables using Pearson correlation. Features with high-correlation were identified as key differentiators and evaluated using a Random Forest classifier.</p><p><strong>Results: </strong>EAT-Seg achieved a DSC of 0.881, a HD95 of 3.213 mm, and an ASSD of 0.602 mm. Statistical shape analysis revealed spatial distribution differences in EAT between T2D and control groups. Morphogeometric feature analysis identified volume and thickness gradient-related features as key discriminators (r > 0.8, P < 0.05). Random Forest classification achieved an AUC of 0.703.</p><p><strong>Conclusions: </strong>This AI-based framework enables accurate segmentation for structurally complex EAT and reveals key morphogeometric differences associated with T2D, supporting its potential as a biomarker for cardiometabolic risk assessment.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":"24 1","pages":"294"},"PeriodicalIF":8.5,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12275356/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144667166","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":"C-C chemokine ligand 5 from women subcutaneous adipose tissue has a central role in vascular aging.","authors":"Laura Le Pelletier, Kenza Ngono Ayissi, Jennifer Gorwood, Emilie Capel, Romain Morichon, Matthieu Mantecon, Martine Auclair, Rohia Alili, Christine Katlama, Lise Cuzin, Michael Atlan, Carine Beaupère, Christine Poitou, Franck Boccara, Bruno Fève, Jacqueline Capeau, Claire Lagathu, Véronique Béréziat","doi":"10.1186/s12933-025-02815-4","DOIUrl":"10.1186/s12933-025-02815-4","url":null,"abstract":"","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":"24 1","pages":"295"},"PeriodicalIF":8.5,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12275387/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144667168","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":"Cardiac digital twins: a tool to investigate the function and treatment of the diabetic heart.","authors":"Marina Strocchi, Daniel J Hammersley, Brian P Halliday, Sanjay K Prasad, Steven A Niederer","doi":"10.1186/s12933-025-02839-w","DOIUrl":"10.1186/s12933-025-02839-w","url":null,"abstract":"<p><p>Diabetes increases the risk of cardiovascular disease (CVD) due to its multi-scale and diverse effects on cardiomyocyte metabolism and function, the circulation, and the kidneys. The complex relationship between organ systems affected by diabetes and associated comorbidities leads to challenges in estimating cardiovascular risk and stratifying optimal treatment strategies at the individual patient level. Most recently, sodium-glucose transport protein 2 (SGLT2) inhibitors and glucagon-like peptide-1 (GLP1) receptor agonists have been shown to offer substantial cardiac benefits. However, the direct or indirect mechanisms through which these agents protect the heart remain unclear, posing a challenge to patient selection. Amidst a growing burden of diabetes and increased therapeutic armamentarium, there is an important unmet need to develop more precise methods and technologies to understand the effects of diabetes and anti-diabetic treatment on the heart with faster timelines than conventional randomised controlled trials. Cardiac computational models could be used to improve our understanding of the cardiac changes in diabetes and to predict how a patient's heart will respond to anti-diabetic treatment. In this review, we provide an overview of current cardiac computational models to investigate the diabetic heart and the cardiac effects of anti-diabetic treatment. We discuss how multi-scale and multi-physics models could be applied in future to support the development of novel therapeutic approaches and further improve the treatment of diabetic patients with different CVD risk.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":"24 1","pages":"293"},"PeriodicalIF":8.5,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12275252/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144667167","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":"Correction: Statin-induced risk of diabetes does not reduce cardiovascular benefits in primary prevention: a 6-year propensity-score matched study in a large population.","authors":"Maria Lembo, Valentina Trimarco, Raffaele Izzo, Daniela Pacella, Stanislovas S Jankauskas, Paola Gallo, Roberto Piccinocchi, Carmine Morisco, Gaetano Piccinocchi, Luca Bardi, Stefano Cristiano, Giovanni Esposito, Giuseppe Giugliano, Fahimeh Varzideh, Maria Virginia Manzi, Bruno Trimarco, Gaetano Santulli","doi":"10.1186/s12933-025-02834-1","DOIUrl":"10.1186/s12933-025-02834-1","url":null,"abstract":"","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":"24 1","pages":"292"},"PeriodicalIF":8.5,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12272954/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144658472","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":"Editorial Expression of Concern: Rapid onset of cardiomyopathy in STZ-induced female diabetic mice involves the downregulation of pro-survival Pim-1.","authors":"Andrew Moore, Amol Shindikar, Ingrid Fomison-Nurse, Federica Riu, Pujika E Munasinghe, Thrishila Parshu Ram, Pankaj Saxena, Sean Coffey, Richard W Bunton, Ivor F Galvin, Michael J A Williams, Costanza Emanueli, Paolo Madeddu, Rajesh Katare","doi":"10.1186/s12933-025-02845-y","DOIUrl":"10.1186/s12933-025-02845-y","url":null,"abstract":"","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":"24 1","pages":"291"},"PeriodicalIF":8.5,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12269124/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144648658","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 temporal MASLD with type 2 diabetes, cardiovascular disease and mortality.","authors":"Eugene Han, Kyung-Do Han, Yong-Ho Lee, Kyung-Soo Kim, Sangmo Hong, Jung Hwan Park, Cheol-Young Park","doi":"10.1186/s12933-025-02824-3","DOIUrl":"10.1186/s12933-025-02824-3","url":null,"abstract":"<p><strong>Background: </strong>We investigated the risk of type 2 diabetes (T2DM) and related comorbidities including cardiovascular disease (CVD), and mortality, based on changes in metabolic dysfunction associated steatotic liver disease (MASLD).</p><p><strong>Methods: </strong>We analyzed data from the Korean National Health Insurance Service for individuals aged ≥ 20 years. MASLD was defined as a fatty liver index (FLI), a prediction formula based on metabolic parameters, with a cutoff of ≥ 60. FLI measurements were compared within each individual over a 2 years period. Based on changes in FLI between two health checkups, individuals were classified into four categories; never MASLD (FLI consistently < 60), incident MASLD (FLI < 60 to ≥ 60), regressed MASLD (≥ 60 to < 60), and persistent MASLD (FLI consistently ≥ 60). The primary outcome was T2DM occurrence in the general population and myocardial infarction (MI), ischemic stroke, heart failure (HF) and mortality events in individuals with preexisting T2DM with adjustment for age, sex, smoking, alcohol drinking, and regular exercise.</p><p><strong>Results: </strong>In 4,397,808 individuals without T2DM, 229,475 (5.2%) developed T2DM during a median follow-up period of 7.3 years. The risk of incident T2DM was the highest in individuals with persistent MASLD compared to those who never had MASLD (HR = 5.28, 95% CI = 5.22-5.34). Individuals with incident or regressed MASLD also had increased risk of developing T2DM (HR = 3.30, 95% CI = 3.25-3.35 for incident MASLD, HR = 2.87, 95% CI = 2.82-2.92 for regressed MASLD). In a cohort of 636,520 individuals with preexisting T2DM followed for a median of 6.2 years, those with persistent MASLD had a higher risk of HF (HR = 1.28, 95% CI = 1.25 to 1.32), MI (HR = 1.15, 95% CI = 1.10 to 1.20), stroke (HR = 1.14, 95% CI = 1.09 to 1.19) and all-cause mortality (HR = 1.11, 95% CI = 1.09-1.14) compared to individuals who never had MASLD. Similarly, both incident and regressed MASLD were associated with an increased risk for HF, MI, stroke and all-cause mortality.</p><p><strong>Conclusions: </strong>Persistent MASLD is associated with an increased risk of incident T2DM, and further elevates the risk of CVD, and mortality among individuals with T2DM. Even individuals with incident or regressed MASLD exhibit an increased risk of these adverse outcomes compared to those who never had MASLD.</p><p><strong>Trial registration: </strong>N/A.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":"24 1","pages":"289"},"PeriodicalIF":8.5,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12261669/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144641877","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":"Impact of diabetes mellitus on myocardial function and clinical outcomes in patients with significant aortic regurgitation.","authors":"Yuting Tan, Yujie Zhang, Qiuyu Cai, Ruohan Zhao, Weidong Luo, Jingrong Jiang, Jiawei Shi, Tianshu Liu, Li Qiu, Jing Wang","doi":"10.1186/s12933-025-02843-0","DOIUrl":"10.1186/s12933-025-02843-0","url":null,"abstract":"<p><strong>Background: </strong>Type 2 diabetes mellitus (T2DM) causes myocardial dysfunction and has been linked to an increased risk of unfavorable cardiovascular events. However, the additive effects of T2DM on myocardial function and its association with clinical outcomes in patients with aortic regurgitation (AR) is undetermined. The study aimed to verify whether T2DM aggravates the deterioration of myocardial deformation and clinical outcomes in AR patients.</p><p><strong>Methods: </strong>A total of two hundred and fifty-five AR patients, differentiated by the presence or absence of T2DM [AR(T2DM+) and AR(T2DM-), respectively], along with 65 age-matched healthy individuals, underwent echocardiographic examination. Left ventricular (LV) and left atrial (LA) geometry and function, as well as LV global longitudinal strain (LVGLS) and left atrial reservoir strain (LARS), were compared among the different groups. Linear regression analyses were performed to identify the effects of T2DM on LVGLS and LARS in AR patients. In addition, major adverse cardiac events (MACEs) were recorded during follow-up. Kaplan-Meier analysis and Cox proportional hazards models were used to explore the relationship between T2DM and the risk of MACEs in AR patients.</p><p><strong>Results: </strong>Compared with controls, both AR(T2DM-) and AR(T2DM+) patients exhibited significantly increased LV and LA volumes, along with reduced LV and LA ejection fractions (all P < 0.05). LVGLS and LARS progressively declined from the controls to the AR (T2DM-) group to the AR (T2DM+) group (all P < 0.05). The presence of T2DM was independently associated with impaired LVGLS and LARS in patients with AR (both P < 0.05). During a median follow-up of 29 months, 42 MACEs were recorded. The incidence of MACEs was significantly higher in patients with T2DM than in those without (30.8% vs. 11.6%; χ² = 20.10; P < 0.001). In multivariable analysis adjusting for clinical and echocardiographic predictors and aortic valve surgery as a time-dependent covariate, T2DM remained independently associated with MACEs (HR, 2.22; 95% CI, 1.12-4.38; P = 0.022).</p><p><strong>Conclusions: </strong>In patients with AR, T2DM exerts an additive deleterious effect on both LA and LV function and is an independent predictor of MACEs. These findings underscore the need for earlier evaluation and intervention targeting cardiac function in the context of AR complicated by T2DM.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":"24 1","pages":"290"},"PeriodicalIF":8.5,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12261624/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144641878","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":"Distinct types of protein modifications in diabetic endothelial dysfunction.","authors":"Qianyou Zhou, Xintong Ge, Zhaojing Chen, Danyi Cao, Yun Chen, Jiahai Shi, Guoliang Meng","doi":"10.1186/s12933-025-02836-z","DOIUrl":"10.1186/s12933-025-02836-z","url":null,"abstract":"<p><p>Diabetes mellitus is a metabolic disorder characterized by persistent hyperglycemia. Chronic diabetes mellitus may contribute to endothelial dysfunction and result in various conditions such as diabetic retinopathy, diabetic nephropathy, neuropathy, peripheral vascular disease, and metabolic syndrome. Post-translational modifications (PTMs) refer to the chemical alterations made to amino acid residues on post-translational proteins, achieved through the addition or removal of specific functional groups. These modifications significantly influence a protein's structure and dynamics, ultimately regulating its localization, folding, interactions with other biomolecules, and overall activity, including mitochondrial function, insulin secretion, cellular development, and viability. The present review aims to provide a comprehensive overview of the different types of PTMs associated with diabetic endothelial dysfunction, including glycosylation, ubiquitination, phosphorylation, acetylation, lactylation, palmitoylation, SUMOylation, methylation, carbonylation, and other PTMs. Currently, several drugs and compounds have been found to improve endothelial cell function in diabetes mellitus by targeting PTMs. By elucidating the mechanisms through which these modifications contribute to endothelial dysfunction in diabetes, this review aspires to enhance the understanding of the condition and potentially facilitate the development of innovative therapeutic strategies aimed at addressing cardiovascular complications in individuals with diabetes.</p>","PeriodicalId":9374,"journal":{"name":"Cardiovascular Diabetology","volume":"24 1","pages":"287"},"PeriodicalIF":8.5,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12257670/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144636222","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}