{"title":"Immunometabolic reprogramming and β-cell dedifferentiation: Integrated mechanisms driving type 2 diabetes progression","authors":"Ritu Dahiya, Ajay Pal Singh, Aruna Rawat","doi":"10.1016/j.diabres.2026.113111","DOIUrl":"10.1016/j.diabres.2026.113111","url":null,"abstract":"<div><div>Type 2 diabetes is increasingly recognised as a condition driven by sustained metabolic overload and chronic low-grade inflammation rather than a simple decline in insulin secretion. Findings from single-cell transcriptomics, human islet studies, and metabolic profiling show that pancreatic β-cells undergo progressive alterations in identity when exposed to glucotoxic, lipotoxic, oxidative, and inflammatory stress. In parallel, cytokines, lipid intermediates, adipose-derived factors, hepatokines, myokines, and gut microbial metabolites generate an immunometabolic environment that accelerates β-cell dedifferentiation and promotes transitions toward progenitor-like or alternative endocrine states. Originally described through lineage-tracing studies in experimental models, β-cell dedifferentiation is now recognized as a dynamic and potentially reversible process shaped by immunometabolic stress in diabetes. This review synthesizes current evidence to illustrate how metabolic and immune pathways converge on key molecular regulators of β-cell fate. It further describes how interorgan communication reinforces these disturbances and contributes to the gradual shift of β-cells along a continuum of stress adaptation, functional decline, and identity loss. A conceptual framework, referred to as the beta-cell identity clock, is presented to capture the dynamic and potentially reversible nature of these transitions. Finally, emerging therapeutic strategies are discussed, including anti-inflammatory agents, metabolic modulators, epigenetic regulators, and regenerative approaches aimed at preserving or restoring β-cell identity in the context of modern metabolic stress.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"232 ","pages":"Article 113111"},"PeriodicalIF":7.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146017711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xiao She , Jie Yang , Bincheng Ren , Xin Yang , Xiaojing Cheng , Tian Tian , Shanshan Liu , Xinrui Zhao , Hui Zhao , Xiaoguang Cui
{"title":"Associations between inflammatory indices derived from complete blood counts and mortality risk in diabetes and prediabetes patients: A cohort study from NHANES 1999--2018","authors":"Xiao She , Jie Yang , Bincheng Ren , Xin Yang , Xiaojing Cheng , Tian Tian , Shanshan Liu , Xinrui Zhao , Hui Zhao , Xiaoguang Cui","doi":"10.1016/j.diabres.2026.113112","DOIUrl":"10.1016/j.diabres.2026.113112","url":null,"abstract":"<div><h3>Background</h3><div>The associations between blood count-derived inflammatory indices and mortality risk in individuals with diabetes and prediabetes have gained attention, but systematic studies are lacking.</div></div><div><h3>Methods</h3><div>Data from the National Health and Nutrition Examination Survey (NHANES) were analyzed to investigate various inflammatory indices (such as the SII and NLR) in relation to all-cause mortality, cardiovascular disease (CVD) mortality, and diabetes-specific mortality via the Cox proportional hazards model.</div></div><div><h3>Results</h3><div>A total of 12,119 participants were included, with an average age of 60 years and approximately 52 % being male. During the follow-up, the overall mortality rate was 25.7 %. All nine inflammatory indices were significantly associated with all-cause mortality and CVD mortality (P < 0.01), and seven indices were correlated with diabetes-specific mortality. Eight indices exhibited significant nonlinear relationships with all-cause mortality, with the exception of the NPR, whereas the<!--> <!-->SIRI, PLR, NPR, and MPR<!--> <!-->showed significant nonlinear associations with CVD mortality.</div></div><div><h3>Conclusion</h3><div>Inflammatory indices such as the SII, SIRI, and NLR are significantly associated with all-cause and CVD mortality among U.S. adults with diabetes and prediabetes, demonstrating index-specific association patterns and threshold characteristics.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"232 ","pages":"Article 113112"},"PeriodicalIF":7.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146034898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Beyond GDP and HbA1c: Reframing equity and outcomes in global paediatric diabetes care","authors":"Shambo Samrat Samajdar , Sunil Gupta , Banshi Saboo , Shatavisa Mukherjee , Anuj Maheshwari , Shashank Joshi","doi":"10.1016/j.diabres.2026.113105","DOIUrl":"10.1016/j.diabres.2026.113105","url":null,"abstract":"","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"232 ","pages":"Article 113105"},"PeriodicalIF":7.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145974484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Peri-renal and renal sinus fat accumulation and diabetic kidney disease in type 2 diabetes: A Japanese cohort study","authors":"Hayato Tanabe , Teruyuki Kono , Haruka Saito , Gulinu Maimaituxun , Kenichi Tanaka , Junichiro J. Kazama , Michio Shimabukuro","doi":"10.1016/j.diabres.2025.113074","DOIUrl":"10.1016/j.diabres.2025.113074","url":null,"abstract":"<div><h3>Aims</h3><div>This 15-year cohort study assessed whether <em>peri</em>-renal fat volume index (PRFVI) and renal sinus fat volume index (RSFVI) predict diabetic kidney disease (DKD) better than general or abdominal obesity measures in Japanese adults with type 2 diabetes (T2D).</div></div><div><h3>Methods</h3><div>Researchers studied 190 DKD-free individuals, measured their abdominal and renal fat via computed tomography, and categorized them into tertiles based on five adiposity indices: body mass index (BMI), visceral fat area (VFA), subcutaneous fat area (SFA), PRFVI, and RSFVI.</div></div><div><h3>Results</h3><div>Participants averaged 58 years old; 52.6 % were male with a median diabetes duration of 5 years and a BMI of 25.4 kg/m<sup>2</sup>. PRFVI correlated with BMI, whereas RSFVI correlated with aging. Over a median 8.5-year follow-up, 53.7 % of patients developed DKD. Notably, higher RSFVI tertiles were significantly associated with DKD risk (hazard ratio 1.96, 95 % confidence interval 1.14–3.39, P = 0.016), and RSFVI had the best predictive value for DKD among all indices (AUC = 0.769). Both renal fat indices showed stronger associations with DKD development than traditional obesity measures.</div></div><div><h3>Conclusions</h3><div>The findings demonstrate that renal fat measure, particularly RSFVI, provides incremental predictive value independent of conventional DKD risk variables, suggesting that local renal fat may be a target for early DKD detection and intervention in people with T2D.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"232 ","pages":"Article 113074"},"PeriodicalIF":7.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145846454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Predicting postpartum glucose intolerance in women with gestational diabetes mellitus in primary care: A machine learning approach using XGBoost and SHAP values","authors":"Nur Aiza Idris , Nurul Azreen Yusof , Muhd Zulfadli Hafiz Ismail , Siti Norazlina Juhari , Nurulhuda Mat Hassan , Norwati Daud , Nurul Izza Yunus , Mohd Faeiz Pauzi","doi":"10.1016/j.diabres.2026.113098","DOIUrl":"10.1016/j.diabres.2026.113098","url":null,"abstract":"<div><h3>Objective(s)</h3><div>To develop and internally validate an interpretable machine learning model using eXtreme Gradient Boosting (XGBoost) and Shapley Additive exPlanations (SHAP) to predict postpartum glucose intolerance among women with GDM using routine antenatal clinical data.</div></div><div><h3>Study design</h3><div>This retrospective study included 600 women with GDM who completed a 6-week postpartum 75-g OGTT. Forty-three antenatal variables were extracted from electronic medical records. An XGBoost model was trained using stratified 5-fold cross-validation, ROSE oversampling, and gridsearch optimisation. Model performance was evaluated using AUC, precision, recall, F1-score and negative predictive value (NPV). SHAP analysis was used to assess feature importance and interpretability.</div></div><div><h3>Results</h3><div>Postpartum glucose intolerance occurred in 19% of participants. The XGBoost model achieved an AUC of 0.671 and PR-AUC of 0.35, with precision of 0.79, recall of 0.82 and an NPV of 0.87. SHAP analysis identified fasting plasma glucose, 2-hour glucose, gestational weight gain, multiparity, previous GDM and family history of diabetes as key predictors.</div></div><div><h3>Conclusion</h3><div>An interpretable XGBoost model with SHAP explanations using routine antenatal data shows promise for postpartum glucose risk assessment in primary care. Despite moderate predictive performance, the model demonstrated a high negative predictive value.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"232 ","pages":"Article 113098"},"PeriodicalIF":7.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145974482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Simultaneous assessment of one-hour plasma glucose levels and age as a potential predictor of glucose intolerance development in individuals with normal glucose tolerance","authors":"Misaki Takakado , Yasuharu Tabara , Shota Inoue , Toshimi Hadate , Ryoichi Kawamura , Koutatsu Maruyama , Isao Saito , Jun Ohashi , Haruhiko Osawa , Yasunori Takata","doi":"10.1016/j.diabres.2025.113079","DOIUrl":"10.1016/j.diabres.2025.113079","url":null,"abstract":"<div><h3>Aims</h3><div>Early detection of impaired glucose tolerance (IGT) is critical for preventing overt diabetes and cardiovascular disease. Few studies have evaluated the predictors of the transition from normal glucose tolerance (NGT) to glucose intolerance (GI; IGT or type 2 diabetes, and/or impaired fasting glucose). We conducted a 5-year prospective study of individuals with NGT to evaluate the predictors of GI development.</div></div><div><h3>Methods</h3><div>A 75-g oral glucose tolerance test was performed to diagnose GI. We enrolled 1,008 Japanese individuals with NGT who completed a 5-year follow-up. Using logistic regression analyses, we explored the predictive factors for GI development and assessed the single-nucleotide polymorphisms of type 2 diabetes susceptibility.</div></div><div><h3>Results</h3><div>We identified the 1-h plasma glucose (1-h PG) level and age interaction as predictors of GI development. In the stratified analysis, the sex-and body mass index-adjusted odds ratios for GI development in individuals with 1-h PG ≥ 8.3 mmol/L and age ≥ 57 years was 12.9 (95 % CI: 5.7–29.2) compared to the reference. Genetic risk was associated with the aggravation of 1-h PG levels.</div></div><div><h3>Conclusions</h3><div>The combination of 1-h PG and age serves as a potential predictor of GI development in individuals with NGT.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"232 ","pages":"Article 113079"},"PeriodicalIF":7.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145892256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jiaqi Li , Guishao Tang , Zhiguo Xie , Lin Yang , Zhiguang Zhou , Keyu Guo
{"title":"Identification of oral microbial biomarkers for prediabetes in young adults: A two-stage population-based study","authors":"Jiaqi Li , Guishao Tang , Zhiguo Xie , Lin Yang , Zhiguang Zhou , Keyu Guo","doi":"10.1016/j.diabres.2026.113101","DOIUrl":"10.1016/j.diabres.2026.113101","url":null,"abstract":"<div><h3>Aim</h3><div>This study aims to identify oral microbial signatures associated with prediabetes in young adults and to investigate potential oral risk factors for early-onset diabetes, as well as to pinpoint targets for monitoring and intervention.</div></div><div><h3>Methods</h3><div>The study involved a large cross-sectional analysis of 3,142 participants from two independent cohorts. The discovery cohort consisted of 334 prediabetes cases and 1,266 controls, while the validation cohort had 325 prediabetes cases and 1,217 controls. We compared the basic and clinical characteristics of the different groups. Additionally, 16S rRNA gene sequencing was conducted on oral rinse samples.</div></div><div><h3>Results</h3><div>Prediabetes-enriched taxa comprised Bacteroidetes, <em>Prevotella_7</em>, and <em>Veillonella</em>. In contrast, normoglycemic controls showed a higher presence of Firmicutes and <em>Streptococcus</em>. The combined models, constructed from indicators identified by LASSO regression, including BMI, HOMA-IR, and specific microbiota (<em>Prevotella_7</em> or <em>Veillonella</em>), demonstrated discriminatory performance. In the discovery set, the AUC values were 0.761 and 0.758, respectively, whereas in the validation set, the AUC values were 0.693 and 0.696, respectively.</div></div><div><h3>Conclusion</h3><div>Reproducible alterations and enrichment of <em>Prevotella_7</em> and <em>Veillonella</em> are linked to prediabetes in young adults. Furthermore, the combined interaction between specific bacterial genera and core clinical indicators may be crucial in the development of prediabetes in young individuals.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"232 ","pages":"Article 113101"},"PeriodicalIF":7.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145965779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Teresa Vanessa Fiorentino , Chiara Maria Assunta Cefalo , Mariangela Rubino , Alessia Riccio , Elena Succurro , Velia Cassano , Gaia Chiara Mannino , Maria Perticone , Angela Sciacqua , Francesco Andreozzi , Giorgio Sesti
{"title":"Risk of coronary artery disease in intermediate hyperglycemia and type 2 diabetes defined by 1-hour post-load glucose levels according to the new IDF criteria","authors":"Teresa Vanessa Fiorentino , Chiara Maria Assunta Cefalo , Mariangela Rubino , Alessia Riccio , Elena Succurro , Velia Cassano , Gaia Chiara Mannino , Maria Perticone , Angela Sciacqua , Francesco Andreozzi , Giorgio Sesti","doi":"10.1016/j.diabres.2026.113100","DOIUrl":"10.1016/j.diabres.2026.113100","url":null,"abstract":"<div><h3>Aims</h3><div>To investigate whether subjects with intermediate hyperglycemia (IH) and type 2 diabetes (T2D), defined according International Diabetes Federation (IDF) criteria based on 1-hour post-load glucose (1hPG), have an increased risk of coronary artery disease (CAD).</div></div><div><h3>Methods</h3><div>Presence of CAD was evaluated in 3362 adults classified according to IDF recommendation as having normal glucose tolerance (NGT), isolated impaired fasting glucose, IH, and T2D.</div></div><div><h3>Results</h3><div>Prevalence of CAD was higher among individuals with IH and T2D than NGT group. In a logistic regression analysis adjusted for several cardiovascular risk factors individuals with IH and T2D had 2.52-fold and 2.05-fold higher odds of having CAD compared to NGT group. Subdividing subjects with IH based on 1hPG and 2hPG, we found that subjects with isolated 1hPG 155–208 mg/dL and those with 2hPG 140–199 mg/dL displayed a 2.8- and 2.21-fold increased odds of CAD as compared to the NGT group. Subjects with T2D, defined by isolated 1hPG ≥ 209 mg/dL or 2hPG ≥ 200 mg/dL, had higher odds of CAD (OR: 2.0 and 2.28, respectively) compared to NGT group.</div></div><div><h3>Conclusions</h3><div>The IDF-recommended 1hPG criterion for defining IH and T2D identifies subjects with an increased odds of CAD, independent of other cardiovascular risk factors.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"232 ","pages":"Article 113100"},"PeriodicalIF":7.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145965739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Global prevalence of diabetes-related neuropathy and vascular complications: A systematic review and meta-analysis","authors":"Asmat Burhan , Ramida Subpaiboonkit , Hui-Chuan Huang","doi":"10.1016/j.diabres.2026.113103","DOIUrl":"10.1016/j.diabres.2026.113103","url":null,"abstract":"<div><div>Diabetic peripheral neuropathy (DPN) and peripheral artery disease (PAD) are common neurovascular complications of diabetes; however, evidence on their pooled prevalences remains unclear. We estimate the pooled prevalences of DPN and PAD in people with diabetes, and to ascertain related risk factors. A systematic review and meta-analysis was conducted using PubMed, Embase, Scopus, Web of Science, and gray literature sources (Google Scholar and Garuda), with searches completed up to December 10, 2025. Across 155 studies, the pooled prevalence was 36 % for DPN and 19 % for PAD. Compared to developed countries, developing countries had higher prevalences of DPN (25 % vs. 39 %) and PAD (10 % vs. 24 %). A meta-regression indicated that chronic kidney disease (CKD) comorbidity was associated with a higher DPN prevalence (β = 0.024; 95 % CI 0.004–0.042). The prevalence of DPN was higher in the combination method (39 %) than in symptom assessment (36 %) or symptoms alone (30 %). Clinical practice should emphasize regular foot examinations, early vascular assessment, and patient education, particularly in developing countries and among people with CKD, to ensure timely detection and effective prevention of diabetes-related complications.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"232 ","pages":"Article 113103"},"PeriodicalIF":7.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145984528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Carolina Martinez-Mateu , Regina Duperval , Olga Kaminska-Jackowiak , Dalia Al-Abdulrazzaq , Suzanne Sap , Sunil Gupta , Marija Požgaj Šepec , Catherine Sanon , Rasha Thabet , Silvia Muñoz , Reinhard W. Holl , Danièle Pacaud , on behalf of the SWEET Study Group
{"title":"Comparison of demographics and treatment outcome in children with type 1 diabetes related to the economic background of their country of residence: observations from the SWEET database","authors":"Carolina Martinez-Mateu , Regina Duperval , Olga Kaminska-Jackowiak , Dalia Al-Abdulrazzaq , Suzanne Sap , Sunil Gupta , Marija Požgaj Šepec , Catherine Sanon , Rasha Thabet , Silvia Muñoz , Reinhard W. Holl , Danièle Pacaud , on behalf of the SWEET Study Group","doi":"10.1016/j.diabres.2025.113065","DOIUrl":"10.1016/j.diabres.2025.113065","url":null,"abstract":"<div><div>Significant disparities in pediatric type 1 diabetes (T1D) care and outcomes exist globally.</div></div><div><h3>Aim</h3><div>To examine the relationship between national gross domestic product (GDP), diabetes care, and T1D outcomes.</div></div><div><h3>Methods</h3><div>Cross-sectional analysis of individuals < 25 years with T1D > 3 months from SWEET registry centers (2022–2023). Centers were grouped into GDP quartiles. Outcomes included technology use, screening rates, HbA1c, BMI SDS, diabetic ketoacidosis (DKA), and severe hypoglycemia. Multivariable regression adjusted for age, sex, and diabetes duration.</div></div><div><h3>Results</h3><div>Data from 54,285 individuals across 130 centers were analyzed. Technology use and BMI SDS increased with GDP. Insulin pump use ranged 17.4–70.2 %; CGM 36.2–91.5 %; AID 11.2–38.2 %; and rapid-acting analogs 56.9–78.2 %. BMI SDS ranged from + 0.04 (lowest GDP) to + 0.89 (highest). HbA1c showed a non-linear pattern: 8.74 % (lowest), 7.50 % (lower-middle), 7.66 % (higher-middle), 8.18 % (highest). Severe hypoglycemia ranged from 9.6 to 1.3 events/100 PY, while DKA ranged from 0.90 (lower-middle) to 3.10 events/100 PY (highest). Screening rates for comorbidities peaked in middle GDP quartiles.</div></div><div><h3>Conclusions</h3><div>GDP is significantly, but not linearly, associated with technology use and metabolic outcomes in pediatric T1D. Middle GDP countries achieved the best metabolic control, underscoring the need for equitable resource allocation.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"232 ","pages":"Article 113065"},"PeriodicalIF":7.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145827125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}