Diabetes research and clinical practice最新文献_第4页

Insights to HDL dysfunctionality: hypothesis of exhausted HDL 对HDL功能障碍的认识：HDL耗竭假说。

IF 7.4 3区医学

Diabetes research and clinical practice Pub Date : 2026-03-01 Epub Date: 2026-02-07 DOI: 10.1016/j.diabres.2026.113145

Abdolkarim Mahrooz

{"title":"Insights to HDL dysfunctionality: hypothesis of exhausted HDL","authors":"Abdolkarim Mahrooz","doi":"10.1016/j.diabres.2026.113145","DOIUrl":"10.1016/j.diabres.2026.113145","url":null,"abstract":"<div><div>In recent years, a growing understanding of high-density lipoprotein (HDL) properties has significantly reshaped our comprehension of this crucial lipoprotein. Emerging evidence indicates that HDL can lose its well-documented protective functions, becoming dysfunctional and, paradoxically, even proatherogenic. Dysfunctional HDL (dys-HDL) is recognized as a critical contributor to cardiovascular disease and diabetes mellitus, conditions where cardiovascular complications are the main cause of mortality. The concept of dys-HDL appears broad, necessitating a distinction between HDL with diminished protective functionality and HDL that actively promotes proatherogenic effects. In certain conditions, the transition from protective to proatherogenic HDL appears to be a gradual and progressive process. This transition may be conceptualized through the idea of ‘exhausted’ HDL (ex-HDL), which represents HDL that has experienced reduced functionality but has not yet fully acquired proatherogenic characteristics. It signifies an abnormality leading to a state of ‘partial functional impairment’ in HDL. Hypothetically, dys-HDL could be categorized into two groups: ex-HDL and proatherogenic HDL. Such a classifying offers a path towards more targeted therapies for cardiovascular risk reduction. This review aims to enhance our understanding of HDL dysfunctionality and propose ex-HDL, thereby offering insights into the transition from protective to proatherogenic HDL.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"233 ","pages":"Article 113145"},"PeriodicalIF":7.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146149484","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}

引用次数: 0

Corrigendum to “A renal biopsy-anchored multi-marker signature involving AOPEP SNP-driven splicing, miR-27b-3p and glycated albumin for stratifying renal damage in type 2 diabetes”. [DIAB 229 (2025) 112460] “肾活检锚定的多标记特征涉及AOPEP snp驱动剪接，miR-27b-3p和糖化白蛋白对2型糖尿病肾损害的分层”的更正。[diab 229(2025) 112460]。

IF 7.4 3区医学

Diabetes research and clinical practice Pub Date : 2026-03-01 Epub Date: 2025-11-25 DOI: 10.1016/j.diabres.2025.113009

Francesca Conserva , Francesco Pesce , Claudia Cinefra , Tommaso Maria Marvulli , Ighli Di Bari , Alessandra Stasi , Maria Felicia Faienza , Michele Rossini , Adriano Montinaro , Elena Squiccimarro , Giorgia Sclavo , Annalisa Schirinzi , Francesca Di Serio , Viji Nair , Damian Fermin , Rajasree Menon , Edgar Otto , Fabio Sallustio , Anna Gallone , Giovanni Stallone , Paola Pontrelli

引用次数: 0

Utility of continuous glucose monitoring in people with type 2 diabetes on insulin-based regimens in clinical practice: A case series and expert opinion 2型糖尿病患者在胰岛素基础治疗方案中持续血糖监测的临床应用：病例系列和专家意见

IF 7.4 3区医学

Diabetes research and clinical practice Pub Date : 2026-03-01 Epub Date: 2025-12-13 DOI: 10.1016/j.diabres.2025.113054

Soo Lim , Rimei Nishimura , Jothydev Kesavadev , Alice Pik Shan Kong , Margaret J McGill , Horng-Yih Ou , Chun-Kwan O , Chun-Chuan Lee , Xiaomei Zhang , Linong Ji , Chih-Yuan Wang

{"title":"Utility of continuous glucose monitoring in people with type 2 diabetes on insulin-based regimens in clinical practice: A case series and expert opinion","authors":"Soo Lim , Rimei Nishimura , Jothydev Kesavadev , Alice Pik Shan Kong , Margaret J McGill , Horng-Yih Ou , Chun-Kwan O , Chun-Chuan Lee , Xiaomei Zhang , Linong Ji , Chih-Yuan Wang","doi":"10.1016/j.diabres.2025.113054","DOIUrl":"10.1016/j.diabres.2025.113054","url":null,"abstract":"<div><div>In individuals with type 2 diabetes (T2D) on insulin, continuous glucose monitoring (CGM) provides feedback on intra- and inter-day glycaemic variations that helps tailor the insulin regimen and lifestyle choices, without the pain of multiple finger pricks. However, practical guidance on the use of CGM in this cohort is limited in Asia. In this case series-based review and expert opinion paper, we aim to provide expert guidance, through a case-based approach, on the use of CGM in people with T2D on insulin therapy, primarily in three profiles: (1) individuals with no comorbidities; (2) those with comorbid cardiovascular risk factors; and (3) elderly individuals with T2D on insulin. Five anonymised demonstrative real-world cases, including ambulatory glucose profiles, have been presented. The benefits of CGM in T2D management in each profile as well as supporting literature are discussed and ten key clinical practice points are proposed to aid in optimising the use of CGM for achieving glycaemic targets, adjusting insulin therapy, motivating adherence to lifestyle intervention, reducing the risk of, or minimising the duration of, hypoglycaemia, and improving the overall quality of life and well-being in this population.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"233 ","pages":"Article 113054"},"PeriodicalIF":7.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145755538","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}

引用次数: 0

Association of glucagon-like peptide-1 receptor agonist use with anxiety disorders, depression, self-harm, and suicidality: a large cohort study 胰高血糖素样肽-1受体激动剂对焦虑、抑郁和自杀风险的影响：一项大型队列研究。

IF 7.4 3区医学

Diabetes research and clinical practice Pub Date : 2026-03-01 Epub Date: 2026-01-25 DOI: 10.1016/j.diabres.2026.113104

Filippos Anagnostakis , Michail Kokkorakis , Georgia Anastasiou , Shrihari Nagarajan , Christos S. Mantzoros

{"title":"Association of glucagon-like peptide-1 receptor agonist use with anxiety disorders, depression, self-harm, and suicidality: a large cohort study","authors":"Filippos Anagnostakis , Michail Kokkorakis , Georgia Anastasiou , Shrihari Nagarajan , Christos S. Mantzoros","doi":"10.1016/j.diabres.2026.113104","DOIUrl":"10.1016/j.diabres.2026.113104","url":null,"abstract":"<div><h3>Aims</h3><div>This study examines the incidence of anxiety disorders, depression, self-harm, and suicidality after treatment initiation with antihyperglycemic medications in patients with type 2 diabetes (T2D) who take metformin as first-line treatment.</div></div><div><h3>Methods</h3><div>A large cohort study was conducted using TriNetX electronic health records andincluded adults (≥18 years) with T2D who used metformin and initiated GLP-1 RAs, SGLT2i, DPP4i, or SU between 1 April 2013 and 31 December 2019.</div></div><div><h3>Results</h3><div>The final three propensity-matched cohorts were 1) GLP-1 RA vs DPP4i (n = 28,536), 2) GLP-1 RA vs SU (n = 23,486), and 3) GLP-1 RA vs SGLT2i (n = 24,052). In a median follow-up of 5.5 years, GLP-1 RAs were associated with a higher risk of depression compared to SGLT2i (HR 1.19, 95% CI 1.11–1.28), and DPP4i (HR 1.06, 95% CI 1.00–1.13) but not SU. Anxiety disorder risk was also higher for GLP-1 RAs versus SGLT2i (HR 1.09, 95% CI 1.02– 1.16) and DPP4i (HR 1.07, 95% CI 1.02–1.13) but not SU. On the contrary, GLP-1 RAs were associated with a lower risk for suicidal ideation in comparison with SU (HR 0.62, 95% CI 0.44–0.87).</div></div><div><h3>Conclusions</h3><div>GLP-1 RAs were associated with a higher risk of anxiety disorders and depression, but no difference in suicidality or self-harm in comparison to SGLT2i, DPP4i, and lower suicidality risk compared to SU.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"233 ","pages":"Article 113104"},"PeriodicalIF":7.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146060763","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}

引用次数: 0

Limitation of existing GFR estimating equations and application of artificial intelligence in improving GFR estimation and chronic kidney disease progression in people with diabetes 现有GFR估算方程的局限性及人工智能在改善GFR估算和糖尿病患者慢性肾脏疾病进展中的应用

IF 7.4 3区医学

Diabetes research and clinical practice Pub Date : 2026-03-01 Epub Date: 2026-02-10 DOI: 10.1016/j.diabres.2026.113152

Digsu N. Koye , Rodney Kwok , Yih-Chung Tham , Tina Zafari , Kartik Kishore , Elif I. Ekinci

{"title":"Limitation of existing GFR estimating equations and application of artificial intelligence in improving GFR estimation and chronic kidney disease progression in people with diabetes","authors":"Digsu N. Koye , Rodney Kwok , Yih-Chung Tham , Tina Zafari , Kartik Kishore , Elif I. Ekinci","doi":"10.1016/j.diabres.2026.113152","DOIUrl":"10.1016/j.diabres.2026.113152","url":null,"abstract":"<div><div>The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) 2009 equation is the most commonly used equation for estimating glomerular filtration rate (GFR) in clinical practice. However, recent studies have questioned the accuracy of this equation in estimating GFR in people with diabetes. We conducted a comprehensive review of existing literature on the role of artificial intelligence and machine learning in estimating GFR and the progression of chronic kidney disease (CKD), specifically in people with diabetes.</div><div>Artificial intelligence, including machine learning and image-based deep learning algorithms have shown promise in improving the accuracy of GFR estimation. Artificial Neural Networks is the commonly used machine learning algorithm in GFR estimation studies. Other artificial intelligence methods include random forests, support vector machines, and ensemble learning models. Many of the studies included in this review reported that artificial intelligence-based GFR estimation equations exhibit lower bias, as well as higher precision and accuracy. However, these findings are not consistent across all the studies. In addition, currently available studies are limited to smaller sample sizes and majority of the studies are from selected countries or populations. Therefore, before implementing these methods in clinical practice, it is essential to validate them on larger sample sizes and diverse patient populations.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"233 ","pages":"Article 113152"},"PeriodicalIF":7.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146178406","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}

引用次数: 0

The psychological impact of time in tight range in adolescents with type 1 diabetes: insights from real-life clinical practice 时间对青少年1型糖尿病患者的心理影响：来自现实生活临床实践的见解

IF 7.4 3区医学

Diabetes research and clinical practice Pub Date : 2026-03-01 Epub Date: 2026-02-14 DOI: 10.1016/j.diabres.2026.113160

Stefano Passanisi , Bruno Bombaci , Alessandro Longo , Angela Alibrandi , Giuseppina Salzano , Fortunato Lombardo

{"title":"The psychological impact of time in tight range in adolescents with type 1 diabetes: insights from real-life clinical practice","authors":"Stefano Passanisi , Bruno Bombaci , Alessandro Longo , Angela Alibrandi , Giuseppina Salzano , Fortunato Lombardo","doi":"10.1016/j.diabres.2026.113160","DOIUrl":"10.1016/j.diabres.2026.113160","url":null,"abstract":"<div><h3>Aims</h3><div>Time in Tight Range (TITR) is an emerging continuous glucose monitoring (CGM) metric assessing time spent in the 70–140 mg/dL range. While TITR is increasingly recognized for reflecting optimal glucose control, its psychological impact remains unexplored. This study assessed the relationship between TITR and psychological outcomes in adolescents with type 1 diabetes (T1D).</div></div><div><h3>Methods</h3><div>This cross-sectional study included 123 adolescents with T1D. Participants completed two validated questionnaires: the PAID-Teen, which measures diabetes-related distress, and the PERMA model, which evaluates psychological well-being. CGM data were analyzed to determine participants’ glucose metrics.</div></div><div><h3>Results</h3><div>Achieving TITR ≥ 50% was associated with higher distress scores (<em>OR</em> = 1.023; 95% CI 1.002–1.044; <em>p</em> = 0.029), while no such association was found with PERMA scores. Conversely, time in range (TIR) ≥ 70% showed no significant relationship with psychological outcomes.</div></div><div><h3>Conclusions</h3><div>These findings suggest TITR may impose additional psychological burden beyond conventional glycemic targets. Further longitudinal studies are needed to evaluate its long-term impact on quality of life and optimize diabetes management strategies for youth with T1D.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"233 ","pages":"Article 113160"},"PeriodicalIF":7.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146206362","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}

引用次数: 0

MicroRNAs modify relationships between hemoglobin A1c and race and ethnicity microrna修饰血红蛋白A1c与种族和民族之间的关系。

IF 7.4 3区医学

Diabetes research and clinical practice Pub Date : 2026-03-01 Epub Date: 2026-02-17 DOI: 10.1016/j.diabres.2026.113165

Benjamin M. Stroebel , Bradley E. Aouizerat , Kayla D. Longoria , Meghana Gadgil , Elena Flowers

{"title":"MicroRNAs modify relationships between hemoglobin A1c and race and ethnicity","authors":"Benjamin M. Stroebel , Bradley E. Aouizerat , Kayla D. Longoria , Meghana Gadgil , Elena Flowers","doi":"10.1016/j.diabres.2026.113165","DOIUrl":"10.1016/j.diabres.2026.113165","url":null,"abstract":"<div><h3>Aims</h3><div>To identify microRNAs that modify associations between categories of race and ethnicity and HbA1c, and to identify associated extrinsic factors and biological mechanism through which this modification may occur.</div></div><div><h3>Methods</h3><div>This study was a secondary analysis of the DPP trial, featuring 1000 participants with microRNA data available at baseline, and a subset of 150 with longitudinal microRNA data. Modification of relationships between categories of race and ethnicity and HbA1c by microRNAs were assessed cross-sectionally with linear models, and longitudinally with linear mixed models. In-silico analyses were performed to identify target mRNAs and pathways of identified modifying miRs. Linear models were used to assess for relationships between socioenvironmental variables and modifying miRs in an exploratory analysis.</div></div><div><h3>Results</h3><div>we identified one microRNA that modified associations between categories of race and ethnicity and HbA1c at baseline (miR-29b) and two that showed longitudinal modifications (miR-92a, miR-146a). MiroRNAs that modified relationships between HbA1c and categories of race and ethnicity were also associated with socioenvironmental factors including nutrition, income, education, and exercise in exploratory models.</div></div><div><h3>Conclusions</h3><div>We identified microRNAs that modify associations between self-reported categories of race and ethnicity and HbA1c, potentially reflecting confounding of theses associations by socioenvironmental factors, geographic ancestry, and other individual-level characteristics.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"233 ","pages":"Article 113165"},"PeriodicalIF":7.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146225750","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}

引用次数: 0

Combination therapy for kidney protection in type 1 diabetes mellitus: quo vadis? 联合治疗对1型糖尿病肾保护的影响？

IF 7.4 3区医学

Diabetes research and clinical practice Pub Date : 2026-03-01 Epub Date: 2026-02-17 DOI: 10.1016/j.diabres.2026.113167

Djordje S. Popovic , Dimitrios Patoulias , Theocharis Koufakis

引用次数: 0

Comparison and assessment of anthropometric index with risk of type 2 diabetes mellitus: two prospective cohort studies in China 人体测量指数与2型糖尿病风险的比较与评估：中国两项前瞻性队列研究。

IF 7.4 3区医学

Diabetes research and clinical practice Pub Date : 2026-03-01 Epub Date: 2026-01-27 DOI: 10.1016/j.diabres.2026.113121

Xiao-Hui Zhou , Zhuo-Ying Li , Dan-Ni Yang , Qiu-Ming Shen , Yu-Xin Zhou , Yu-Ting Tan , Hong-Lan Li , Yong-Bing Xiang

{"title":"Comparison and assessment of anthropometric index with risk of type 2 diabetes mellitus: two prospective cohort studies in China","authors":"Xiao-Hui Zhou , Zhuo-Ying Li , Dan-Ni Yang , Qiu-Ming Shen , Yu-Xin Zhou , Yu-Ting Tan , Hong-Lan Li , Yong-Bing Xiang","doi":"10.1016/j.diabres.2026.113121","DOIUrl":"10.1016/j.diabres.2026.113121","url":null,"abstract":"<div><h3>Aim</h3><div>Obesity is a well-established risk factor for type 2 diabetes mellitus (T2DM), with specific anthropometric indices offering even greater predictive value. This study aimed to systematically examine the associations between 17 anthropometric indices and T2DM risk, as well as the predictive value of these indices for T2DM.</div></div><div><h3>Methods</h3><div>Data from the Shanghai Men’s and Women’s Health Studies were used. Cox regression models estimated hazard ratios (HRs). Receiver operating characteristic (ROC) curves assessed the predictive performance, with subgroup and sensitivity analyses conducted to evaluate robustness.</div></div><div><h3>Results</h3><div>The study included 71 356 women and 56 288 men, with a mean follow-up of 17.42 and 12.35 years, respectively. Relative fat mass (RFM) had the highest HR in women (HR <sub>per SD</sub> = 2.42, 95% CI: 2.34–2.49) and men (HR <sub>per SD</sub> = 2.22, 95% CI: 2.13–2.31). Abdominal adiposity indices (e.g., WC, waist-to-height ratio [WHtR], body roundness index [BRI]) outperformed general adiposity indices (e.g., BMI) in predicting T2DM risk.</div></div><div><h3>Conclusions</h3><div>Abdominal adiposity indices have significant value in predicting T2DM risk, with notable sex-specific differences. Among these, RFM were better predictors in both women and men. These findings suggest that abdominal obesity indices could be used to inform prevention strategies.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"233 ","pages":"Article 113121"},"PeriodicalIF":7.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146084794","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}

引用次数: 0

Corrigendum to “Predicting postpartum glucose intolerance in women with gestational diabetes mellitus in primary care: A machine learning approach using XGBoost and SHAP values” [Diabetes Res. Clin. Pract. 232 (2026) 113098] 《在初级保健中预测妊娠期糖尿病妇女产后葡萄糖耐受不良：使用XGBoost和SHAP值的机器学习方法》的更正[糖尿病临床杂志]。惯例。232(2026)113098]。

IF 7.4 3区医学

Diabetes research and clinical practice Pub Date : 2026-03-01 Epub Date: 2026-02-15 DOI: 10.1016/j.diabres.2026.113154

Nur Aiza Idris , Nurul Azreen Yusof , Muhd Zulfadli Hafiz Ismail , Siti Norazlina Juhari , Nurulhuda Mat Hassan , Norwati Daud , Nurul Izza Yunus , Mohd Faeiz Pauzi

引用次数: 0