Diabetes/Metabolism Research and Reviews最新文献

{"title":"Early Postpartum Metabolic Heterogeneity Among Women Who Progressed to Type 2 Diabetes After Gestational Diabetes: A Prospective Cohort","authors":"Saifur R. Khan,&nbsp;Julie A. D. Van,&nbsp;Zhang Xiangyu,&nbsp;Stacey E. Alexeeff,&nbsp;Babak Razani,&nbsp;Michael B. Wheeler,&nbsp;Erica P. Gunderson","doi":"10.1002/dmrr.70027","DOIUrl":"10.1002/dmrr.70027","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aims</h3>\u0000 \u0000 <p>Gestational diabetes mellitus (GDM) poses a significant risk for developing type 2 diabetes mellitus (T2D) and exhibits heterogeneity. However, understanding the link between different types of post-GDM individuals without diabetes and their progression to T2D is crucial to advance personalised medicine approaches.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Materials and Methods</h3>\u0000 \u0000 <p>We employed a discovery-based unsupervised machine learning clustering method to generate clustering models for analysing metabolomics, clinical, and biochemical datasets. For this analysis, we selected 225 women who later developed T2D during the 12-year follow-up period from the cohort of 1010 women who returned to a non-diabetic state at 6–9 weeks (study baseline) after a GDM pregnancy based on 2-h 75 g research OGTTs. The optimal model was selected by assessing Bayesian Information Criterion values, class separation performance, and the potential for clinically distinguishable clusters, accounting for participant prenatal and early postpartum characteristics.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The selected model comprises three clusters: pancreatic beta cell dysfunction (cluster-β: median HOMA-B 161.3 and median HOMA-IR 3.8), insulin-resistance (cluster-IR: median HOMA-B 630.5 and median HOMA-IR 16.8), and a mixed cluster (cluster-mixed: median HOMA-B 307.2 and median HOMA-IR 8.6). These clusters are distinguishable based on postpartum blood test parameters such as glucose tolerance, HOMA indices, and fasting lipid profiles including triglycerides, leptin, HDL-c, and adiponectin, as well as participant age and BMI. Metabolomic analysis identified unique molecular signatures for each cluster. However, the time to T2D onset was not statistically significant among the three clusters (<i>p</i> = 0.22).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>This study enhances our understanding of the heterogeneity of early postpartum metabolic profiles that characterise the future onset of T2D diabetes in a diverse cohort of women with GDM, revealing insights into distinct mechanisms and personalised intervention strategies for the prevention of T2D.</p>\u0000 </section>\u0000 </div>","PeriodicalId":11335,"journal":{"name":"Diabetes/Metabolism Research and Reviews","volume":"41 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11733828/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142985128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Chinese Visceral Adiposity Index Trajectory and Stroke in Prediabetes and Diabetes: A Prospective Cohort Study","authors":"Qitong Liu,&nbsp;Ming Sun,&nbsp;Yang Liu,&nbsp;Wenqi Xu,&nbsp;Huancong Zheng,&nbsp;Ning Ning,&nbsp;Rong Huang,&nbsp;Jin Zhou,&nbsp;Jinang Shao,&nbsp;Wenhui Zhou,&nbsp;Shuohua Chen,&nbsp;Shouling Wu,&nbsp;Yanan Ma","doi":"10.1002/dmrr.70025","DOIUrl":"10.1002/dmrr.70025","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aims</h3>\u0000 \u0000 <p>Stroke is a common diabetic complication, by which the Chinese visceral adiposity index (CVAI) is confirmed as a better predictor of visceral fat. However, the relationship between CVAI change and the stroke risk among patients with diabetes and prediabetes remains unclear. Therefore, we aimed to examine the association of CVAI trajectory with the risk of stroke.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Materials and Methods</h3>\u0000 \u0000 <p>This prospective cohort study included 11,339 patients with prediabetes and diabetes from the Kailuan study. These participants had complete repeated metabolic and body measurements that formed the continuous CVAI records. The stroke cases were identified by medical records. Latent mixture modelling was conducted to fit four groups of CVAI trajectories. Cox proportional hazard regression models were used to examine the associations between CVAI trajectories and the risk of stroke and its subtypes.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Four distinct CVAI trajectories were identified: the low-stable, moderate low-stable, moderate high-stable, and high-increasing groups. Compared with low-stable CVAI, moderate high-stable (HR: 1.50, 95%CI: 1.10–2.04) and high-increasing CVAI (HR: 2.15, 95%CI: 1.49–3.10) were positively associated with the risk of stroke. Similarly, moderate high-stable (HR: 1.70, 95%CI: 1.21–2.39) and high-increasing CVAI trajectory groups (HR: 2.53, 95%CI: 1.71–3.73) had an increased risk of ischaemic stroke compared with the low-stable CVAI group. However, a significant association was not found between CVAI trajectory and risk of haemorrhage stroke.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>A long-term elevated CVAI is associated with a higher risk of stroke, especially ischaemic stroke. This finding suggests the health benefits of low CVAI levels and the importance of regular surveillance among patients with prediabetes and diabetes.</p>\u0000 </section>\u0000 </div>","PeriodicalId":11335,"journal":{"name":"Diabetes/Metabolism Research and Reviews","volume":"41 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142985122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Use of Omics in Untangling the Effect of Lifestyle Factors in Pregnancy and Gestational Diabetes: A Systematic Review","authors":"Kai Liu,&nbsp;Georgia S. Clarke,&nbsp;Jessica A. Grieger","doi":"10.1002/dmrr.70026","DOIUrl":"10.1002/dmrr.70026","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>To synthesise the evidence from clinical trials and observational studies using omics techniques to investigate the impact of diet and lifestyle factors on metabolite profile in pregnancy, and in the prevention and management of gestational diabetes mellitus (GDM).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Materials and Methods</h3>\u0000 \u0000 <p>A systematic literature search was performed using PubMed, Ovid, CINAHL, and Web of Science databases in October 2023 and updated in September 2024. Inclusion criteria were randomised controlled trials (RCT) or non-RCTs in pregnant women with or without GDM, that measured diet and lifestyle factors, and which applied post-transcriptional omics approaches. Risk of bias was assessed using the ROBINS-I for non-RCTs and ROB-2 tool for RCTs. The results of all studies are narratively synthesised.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Of 6293 studies identified, eight observational studies and three RCTs comprising 2639 pregnant women were included. Three studies reported on changes in diet-related metabolic phenotypes during pregnancy; however, the impact of certain foods on the metabolome and risk for GDM was less clear. Compared with women without GDM, women with GDM had a worse deterioration in metabolites, including saturated fatty acids, branched chain amino acids and purine degradation metabolites. There is limited evidence that conventional dietary treatment for GDM may modify the metabolome in women with GDM.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Metabolome profiles in pregnancy may be altered by certain dietary choices; however, it is inconclusive whether improved diet related metabolite profiles have a beneficial impact in the prevention or management of GDM. High quality studies with larger sample sizes are needed to better understand the role that maternal nutrition plays in modulating the maternal metabolome, not only for a healthy pregnancy but also for the prevention and management of GDM.</p>\u0000 </section>\u0000 </div>","PeriodicalId":11335,"journal":{"name":"Diabetes/Metabolism Research and Reviews","volume":"41 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11725626/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142972955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Rise of Type 2 Diabetes in Children and Adolescents: An Emerging Pandemic","authors":"Shiwali Goyal,&nbsp;Vanita Vanita","doi":"10.1002/dmrr.70029","DOIUrl":"10.1002/dmrr.70029","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>This review explores the increasing prevalence of Type 2 Diabetes Mellitus (T2DM) in children and adolescents, focusing on its etiology, risk factors, complications, and the importance of early detection and management. It also highlights the need for a multidisciplinary, family-centered approach in managing T2DM in pediatric populations, with an emphasis on nutrition, exercise, and lifestyle interventions.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Materials and Methods</h3>\u0000 \u0000 <p>A literature review was conducted using PubMed, Google Scholar, and Scopus to incorporate studies from 2015 to 2024 on T2DM in youths/adolescents/children, focusing on epidemiology, risk factors, and prevention strategies. Studies on Type 1 Diabetes Mellitus (T1DM) or adult populations were excluded.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>T2DM is a complex metabolic disorder with various societal, behavioral, environmental, and genetic risk factors. It accounts for one in three new childhood diabetes cases, with rising incidence among American Indian/Alaska Native, Black, and Hispanic/Latino children. The increase in T2DM incidence correlates with growing childhood obesity rates. Early onset significantly raises the risk of complications like retinopathy, nephropathy, neuropathy, cardiovascular diseases, nonalcoholic fatty liver disease, and obstructive sleep apnea. Early detection, screening, and treatment can prevent or delay these complications. A family-centered, multidisciplinary approach is essential for effective management, including lifestyle and behavioral support.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>T2DM in children is a growing health concern with severe implications. Early detection and management, including nutrition and exercise counseling, are critical in reducing long-term complications. A multidisciplinary approach is vital for improving outcomes and minimizing morbidity and mortality.</p>\u0000 </section>\u0000 </div>","PeriodicalId":11335,"journal":{"name":"Diabetes/Metabolism Research and Reviews","volume":"41 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142915707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of Sudomotor Dysfunction With Risk of Subclinical Carotid Atherosclerosis in Patients With Type 2 Diabetes","authors":"Ming Wang,&nbsp;Jingyi Lu,&nbsp;Wei Zhu,&nbsp;Jiaying Ni,&nbsp;Yaxin Wang,&nbsp;Jiamin Yu,&nbsp;Weijing Zhao,&nbsp;Ronghui Du,&nbsp;Jian Zhou","doi":"10.1002/dmrr.70030","DOIUrl":"10.1002/dmrr.70030","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>Previous studies suggested that sudomotor dysfunction is closely related to multiple diabetic microvascular complications. We aimed to investigate the association between sudomotor dysfunction and subclinical carotid atherosclerosis (SCAS) in people with type 2 diabetes.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A total of 1788 participants were included in this cross-sectional study. Sudomotor function was assessed using the SUDOSCAN device, and sudomotor dysfunction was defined as feet electrochemical skin conductance (FESC) &lt; 60 μs. The carotid artery was evaluated by high-resolution B-mode ultrasonography. SCAS was defined as mean carotid intima-media thickness ≥ 1.0 mm and/or the presence of carotid plaque. A logistic regression model was used to evaluate the relationship between sudomotor dysfunction and the risk of SCAS.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Among the enrolled 1788 participants, 1094 (61.2%) were male. The median age was 60.0 (51.0–66.0) years, and the median glycated haemoglobin (HbA1c) level was 8.3% (7.1%–9.9%). Four hundred twenty-nine individuals had sudomotor dysfunction, equivalent to 24.0% of all subjects. Compared to people with normal sudomotor function, those with sudomotor dysfunction had a significantly higher prevalence of SCAS (68.1% <i>vs.</i> 58.3%, <i>p</i> &lt; 0.05). Meanwhile, we found that people with SCAS had a lower median FESC level (76.8 μs <i>vs.</i> 74.4 μs) (<i>p</i> = 0.003) and a higher proportion of abnormal sudomotor function (26.9% <i>vs.</i> 19.5%) (<i>p</i> &lt; 0.001). After adjusting for confounding factors including HbA1c, sudomotor dysfunction was significantly associated with the risk of SCAS (odd ratio [OR] = 1.48, 95%CI 1.13–1.95). Furthermore, When FESC was considered as a continuous variable, the multivariable-adjusted OR of SCAS was 1.17 (95%CI 1.04–1.32) for per 1-SD decrease in FESC.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Sudomotor dysfunction was significantly related to SCAS in people with type 2 diabetes.</p>\u0000 </section>\u0000 </div>","PeriodicalId":11335,"journal":{"name":"Diabetes/Metabolism Research and Reviews","volume":"41 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142923504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Age-Specific Effect and Pathways of Risk Factors on the Risk of Incident Type 2 Diabetes: A 13-Year Prospective Cohort Study","authors":"Xue Tian,&nbsp;Shuohua Chen,&nbsp;Yijun Zhang,&nbsp;Qin Xu,&nbsp;Xue Xia,&nbsp;Shouling Wu,&nbsp;Anxin Wang","doi":"10.1002/dmrr.70028","DOIUrl":"10.1002/dmrr.70028","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>To assess risk profiles and pathways for incident type 2 diabetes by age at onset.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Materials and Methods</h3>\u0000 \u0000 <p>Based on the Kailaun study, 92,020 participants without type 2 diabetes were enrolled and classified into four age-onset groups as &lt; 55, 55 to &lt; 65, 65 to &lt; 75, and ≥ 75 years. Clinical risk factors and serum biomarkers were examined. Cox regression and Bayesian network analysis were performed.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Of the clinical risk factors, metabolic syndrome had the highest hazard ratio [HR] for type 2 diabetes onset at any age, ranging from 4.17; 95% confidence interval [CI], 3.89–4.06) at onset in those &lt; 55 years to 2.97 (95% CI, 2.57–3.44) at onset in those ≥ 75 years. Among biomarkers, insulin resistance evaluated by triglyceride-glucose index had the highest HR (1.66; 95% CI, 1.61–1.70) for onset &lt; 55 years. In comparison, weaker but significant associations with diabetes in onset &lt; 55 years were noted for most lipids, metabolic, and inflammatory biomarkers. Most risk factors had attenuated relative rates at older ages. Bayesian network showed that the most important pathway to incident diabetes was through insulin resistance and metabolic syndrome, with conditional probabilities ranging from 62.1% in onset &lt; 55 years, and attenuated to 16.3% for onset ≥ 75 years.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Most risk factors for diabetes had attenuated relative rates at older ages. Metabolic syndrome and insulin resistance, in addition to prediabetes, obesity, hypertension, and dyslipidemia, tended to be stronger risk factors.</p>\u0000 </section>\u0000 </div>","PeriodicalId":11335,"journal":{"name":"Diabetes/Metabolism Research and Reviews","volume":"41 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142915777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Searching the Crystal Ball for Tailored GLP-1 Receptor Agonists Treatment in Type 2 Diabetes and Obesity","authors":"Asia Saturnino,&nbsp;Ernesto Maddaloni,&nbsp;Simona Zampetti,&nbsp;Raffaella Buzzetti","doi":"10.1002/dmrr.70017","DOIUrl":"10.1002/dmrr.70017","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Glucagon-like peptide 1 receptor agonists (RA) are novel agents used in the management of type 2 diabetes (T2D) and obesity. Although highly effective, the response to treatment may vary significantly among patients.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>This perspective review aims to summarise the current knowledge about markers of poor or good response to GLP-1 RA, highlighting the possibility of tailoring treatment strategies and reducing costs associated with T2D and obesity treatment.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A comprehensive literature search was conducted using PubMed, NCBI, and Scopus databases, focussing on studies published between 2016 and 2024 that evaluated factors influencing treatment outcomes with GLP-1 RA.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Several markers, including baseline HbA1c levels, ghrelin and glucose-dependent insulinotropic polypeptide (GIP) levels, specific gut microbiome composition, b-cell function, and genetic markers, were identified as factors associated with treatment response.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Understanding predictive markers of response to therapy can enhance precision-based medicine for the selection of patients eligible for GLP-1 RA, improving clinical outcomes and optimising diabetes management.</p>\u0000 </section>\u0000 </div>","PeriodicalId":11335,"journal":{"name":"Diabetes/Metabolism Research and Reviews","volume":"41 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2024-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/dmrr.70017","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142824571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Relationship of Serum 25-Hydroxyvitamin D Concentrations, Diabetes, Vitamin D Receptor Gene Polymorphisms and Incident Venous Thromboembolism","authors":"Hao Xiang,&nbsp;Chun Zhou,&nbsp;Xiaoqin Gan,&nbsp;Yu Huang,&nbsp;Panpan He,&nbsp;Ziliang Ye,&nbsp;Mengyi Liu,&nbsp;Sisi Yang,&nbsp;Yanjun Zhang,&nbsp;Yuanyuan Zhang,&nbsp;Xianhui Qin","doi":"10.1002/dmrr.70014","DOIUrl":"10.1002/dmrr.70014","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aims</h3>\u0000 \u0000 <p>The association between vitamin D and the risk of venous thromboembolism (VTE) remains inconclusive. We aimed to explore the association of serum 25-hydroxyvitamin D (25OHD) with incident VTE among participants with and without diabetes, and examine the modifying effect of genetic susceptibility of VTE and vitamin D receptor (VDR) gene polymorphisms on this association.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Materials and Methods</h3>\u0000 \u0000 <p>A total of 378,082 participants free of VTE at baseline from the UK Biobank were included. Serum 25OHD concentrations were measured by the chemiluminescent immunoassay method. The primary outcome was incident VTE, including deep vein thrombosis (DVT) and pulmonary embolism (PE). The genetic risks of VTE were estimated using 297 single nucleotide polymorphisms (SNPs) associated with VTE. The VDR gene polymorphisms included SNPs of rs7975232, rs1544410, rs2228570 and rs731236.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>During a median follow-up duration of 12.5 years, 10,645 VTE cases were recorded. Serum 25OHD had a significantly stronger inverse association with incident VTE in participants with diabetes (per SD increment, adjusted HR: 0.87; 95% CI: 0.81–0.93) than in those without diabetes (per SD increment, adjusted HR: 0.97; 95% CI: 0.95–0.99; <i>p</i>-interaction = 0.003). Similar trends were found for incident DVT and PE. Among participants with diabetes, the genetic risk of VTE did not significantly modify the association between serum 25OHD and incident VTE (<i>p</i>-interaction = 0.607). However, a stronger inverse association of serum 25OHD with incident VTE was found in the VDR rs2228570 AA genotype (vs. GG/AG; <i>p</i>-interaction = 0.031).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Serum 25OHD was inversely associated with the risk of VTE, especially among participants with diabetes, regardless of genetic risks of VTE.</p>\u0000 </section>\u0000 </div>","PeriodicalId":11335,"journal":{"name":"Diabetes/Metabolism Research and Reviews","volume":"41 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/dmrr.70014","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142814692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Circulating Proneurotensin Levels Predict Impaired Bone Mineralisation in Postmenopausal Women With Type 2 Diabetes Mellitus","authors":"Ilaria Barchetta,&nbsp;Sara Dule,&nbsp;Flavia Agata Cimini,&nbsp;Federica Sentinelli,&nbsp;Alessandro Oldani,&nbsp;Giulia Passarella,&nbsp;Tiziana Filardi,&nbsp;Vittorio Venditti,&nbsp;Enrico Bleve,&nbsp;Elisabetta Romagnoli,&nbsp;Susanna Morano,&nbsp;Andrea Lenzi,&nbsp;Olle Melander,&nbsp;Marco Giorgio Baroni,&nbsp;Maria Gisella Cavallo","doi":"10.1002/dmrr.70018","DOIUrl":"10.1002/dmrr.70018","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Context</h3>\u0000 \u0000 <p>The mechanisms underlying bone fragility and increased fracture risk observed in individuals with type 2 diabetes (T2D) are not yet fully elucidated. Previous research has suggested a role for neuropeptides in regulating bone metabolism; however, the contribution of the neuropeptide Neurotensin (NT), which is thoroughly implicated in T2D and cardiovascular disease, has not been investigated in this context.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>To study the relationship between circulating levels of the NT precursor proneurotensin (proNT) and bone mineralisation in T2D women.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Materials and Methods</h3>\u0000 \u0000 <p>This is a cross-sectional investigation with a longitudinal prospective phase, involving 126 women with T2D who underwent bone density scans and had proNT levels measured. Biomarkers of bone metabolism and inflammation were also assessed. Data on bone mineral density (BMD) after 12 months were available for 49 patients.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main Outcome Measure</h3>\u0000 \u0000 <p>Plasma proNT levels in relation to BMD.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>32% of the participants had osteopenia/osteoporosis and exhibited higher proNT than those with normal BMD (200.8 ± 113.7 vs. 161.6 ± 108.8 pg/mL; <i>p</i> = 0.013). ProNT inversely correlated with femur BMD and <i>T</i>-score (<i>p</i> &lt; 0.01) and was associated with degraded bone architecture (TBS, <i>p</i> = 0.02), and higher OPN, P1NP, TNF-α and IL-1β levels. Baseline proNT correlated with further BMD reduction at the 12-month follow-up, independently of potential confounders (<i>p</i> = 0.02).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>In women with T2D, greater proNT levels are associated with impaired bone mineralisation and predict mineral density decline overtime. ProNT could potentially serve as a diagnostic tool for identifying patients at higher risk of osteopenia/osteoporosis, suggesting a significant connection between this neuropeptide and bone metabolism in diabetes.</p>\u0000 </section>\u0000 </div>","PeriodicalId":11335,"journal":{"name":"Diabetes/Metabolism Research and Reviews","volume":"41 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11629440/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142802840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating Red Blood Cells' Membrane Fluidity in Diabetes: Insights, Mechanisms, and Future Aspects","authors":"Dario Pitocco,&nbsp;Duaa Hatem,&nbsp;Alessia Riente,&nbsp;Michele Maria De Giulio,&nbsp;Alessandro Rizzi,&nbsp;Alessio Abeltino,&nbsp;Cassandra Serantoni,&nbsp;Linda Tartaglione,&nbsp;Emanuele Rizzo,&nbsp;Lorenzo Lucacchini Paoli,&nbsp;Marco De Spirito,&nbsp;Giuseppe Maulucci","doi":"10.1002/dmrr.70011","DOIUrl":"https://doi.org/10.1002/dmrr.70011","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aims</h3>\u0000 \u0000 <p>This review evaluates the mechanisms underlying red blood cell (RBC) membrane fluidity changes in diabetes mellitus (DM) and explores strategies to assess and address these alterations. Emphasis is placed on developing a comprehensive index for membrane fluidity to improve monitoring and management in diabetic patients.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Materials and Methods</h3>\u0000 \u0000 <p>We reviewed current literature on RBC membrane fluidity, focussing on lipid composition, glycation, oxidative stress, and lipid transport alterations in diabetic patients. Key methodologies include lipidomics, multi-scale probe assessment, and machine learning integration for standardized fluidity measurement.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Diabetic RBCs exhibit increased membrane fluidity, primarily due to oxidative stress, increased glycation, and dysregulated lipid composition. These alterations contribute to vascular complications and impair RBC functionality. Assessing membrane composition as a nutritional marker provides insights into the metabolic impacts of glycaemic management.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>There is a critical need for a unified and comprehensive membrane fluidity index in DM, which could support personalised interventions through dietary, medicinal, and lifestyle modifications. Future research should prioritise standardising measurement techniques and integrating lipidomic data with machine learning for predictive modelling, aiming to enhance clinical outcomes for diabetic patients.</p>\u0000 </section>\u0000 </div>","PeriodicalId":11335,"journal":{"name":"Diabetes/Metabolism Research and Reviews","volume":"41 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/dmrr.70011","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142764220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}