Diabetes/Metabolism Research and Reviews最新文献

{"title":"The Burden of Diabetes in the Southeastern Coastal Region of China From 1990 to 2019 and Projections for 2030: A Systematic Analysis of the 2019 Global Burden of Disease Study","authors":"Yating Ding,&nbsp;Xiuli Cai,&nbsp;Yangjiang Ou,&nbsp;Dong Liang,&nbsp;Qing Guan,&nbsp;Wenling Zhong,&nbsp;Xiuquan Lin","doi":"10.1002/dmrr.70031","DOIUrl":"10.1002/dmrr.70031","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>This study examined the diabetes burden in Fujian Province, China, from 1990 to 2019, comparing it with China and global levels to inform policymakers.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Materials and Methods</h3>\u0000 \u0000 <p>We used data from GBD 2019 to analyse diabetes prevalence, death, and disability-adjusted life-years (DALYs). We assessed the average annual percentage change (AAPC) and estimated the impact of 17 risk factors. An age-period-cohort model evaluated age, period, and cohort effects on diabetes metrics. Bayesian models forecasted prevalence and DALYs for 2020–2030, with frontier analysis linking DALYs to per capita GDP.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>In 2019, Fujian Province had approximately 2,359,179 diabetes cases with a prevalence rate of 4423.82 (95% UI 4004.12–4864.55) per 100,000 and an age-standardised DALYs of 475.00 (375.63–589.49) per 100,000, both lower than China and global averages. From 1990 to 2019, Fujian Province's age-standardised mortality rate remained higher than the China average, but the gap narrowed compared with 1990. Elderly males showed a pronounced increase in mortality. The period effect indicated a turning point during 2005–2009. DALYs increased among men and decreased among women over cohorts. By 2030, the DALYs rate is projected to decrease by 6.59%. Frontier analysis showed that compared with the same economic level, the effective difference in diabetes disease burden in Fujian Province was small, but there was room for improvement.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>From 1990 to 2019, Fujian Province's age-standardised diabetes prevalence slightly increased, while mortality and DALYs declined. Significant gender and age disparities existed, highlighting the need for targeted strategies for elderly males. Fujian Province's success in diabetes management can provide a model for other regions.</p>\u0000 </section>\u0000 </div>","PeriodicalId":11335,"journal":{"name":"Diabetes/Metabolism Research and Reviews","volume":"41 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143014507","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":"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":"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":"Endothelial Angpt2 Promotes Adipocyte Progenitor Cells Maturation to Increase Visceral Adipose Tissue Accumulation","authors":"Xianhao Yi,&nbsp;Jiapu Ling,&nbsp;Yan Tang,&nbsp;Jingjing Cai,&nbsp;Shaihong Zhu,&nbsp;Liyong Zhu","doi":"10.1002/dmrr.70012","DOIUrl":"https://doi.org/10.1002/dmrr.70012","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aims</h3>\u0000 \u0000 <p>Visceral adipose tissue (VAT) accumulation is essential for the occurrence and development of obesity and related metabolic diseases. Currently, the specific mechanism of VAT accumulation is still unclear.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Materials and Methods</h3>\u0000 \u0000 <p>We searched the Gene Expression Omnibus database to obtain single-cell RNA sequencing (scRNAseq) data for VAT in patients with a normal body mass index (BMI), obesity, or morbid obesity. By using PCR, WB, immunofluorescence staining, and flow cytometry analysis, we validated the interactions between macrophages, endothelial cells (ECs), and adipocyte progenitor cells (APCs), as well as the underlying mechanism, in VAT. Finally, we tested the findings in obese mice using recombinant proteins and adeno-associated virus infection.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>One study with human scRNAseq data was included. This study collected 13-VAT from 5 individuals with obesity and diabetes, 9 individuals with obesity, and 1 individual with a normal BMI. The proportion of inflammatory macrophages is substantially increased in obese and diabetic patients. ECs have the most active interactions with other cells. Notably, the activation of JAK1/STAT3 is one of the reasons for the increase in inflammatory endothelial cells and can promote the secretion of angiopoietin-2 (Angpt2) and induce APCs to transition from mesothelin (MSLN) to complement factor D (CFD) expression via integrin-α5β1 signalling. This phenotypic transition promotes APC differentiation into mature adipocytes and accelerates VAT accumulation. These observations were further validated in an in vitro model and an in vivo study using Angpt2 recombinant proteins and blocking the expression of Angpt2 by adeno-associated virus infection.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>ECs are essential for promoting VAT accumulation by facilitating APC differentiation from MSLN to CFD phenotype. This process is driven by Angpt2 from ECs upon JAK1/STAT3 signalling activation under metabolic stress.</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.70012","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142764221","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":"Prediction Model for Polyneuropathy in Recent-Onset Diabetes Based on Serum Neurofilament Light Chain, Fibroblast Growth Factor-19 and Standard Anthropometric and Clinical Variables","authors":"Haifa Maalmi,&nbsp;Phong B. H. Nguyen,&nbsp;Alexander Strom,&nbsp;Gidon J. Bönhof,&nbsp;Wolfgang Rathmann,&nbsp;Dan Ziegler,&nbsp;Michael P. Menden,&nbsp;Michael Roden,&nbsp;Christian Herder,&nbsp;GDS Group","doi":"10.1002/dmrr.70009","DOIUrl":"10.1002/dmrr.70009","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Diabetic sensorimotor polyneuropathy (DSPN) is often asymptomatic and remains undiagnosed. The ability of clinical and anthropometric variables to identify individuals likely to have DSPN might be limited. Here, we aimed to integrate protein biomarkers for reliably predicting present DSPN.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Using the proximity extension assay, we measured 135 neurological and protein biomarkers of inflammation in blood samples of 423 individuals with recent-onset diabetes from the German Diabetes Study (GDS). DSPN was diagnosed based on the Toronto Consensus Criteria. We constructed (i) a protein-based prediction model using LASSO logistic regression, (ii) an optimised traditional risk model with age, sex, waist circumference, height and diabetes type and (iii) a model combining both. All models were bootstrapped to assess the robustness, and optimism-corrected AUCs (95% CI) were reported.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>DSPN was present in 16% of the study population. LASSO logistic regression selected the neurofilament light chain (NFL) and fibroblast growth factor-19 (FGF-19) as the most predictive protein biomarkers for detecting DSPN in individuals with recent-onset diabetes. The protein-based model achieved an AUC of 0.66 (0.59, 0.73), while the traditional risk model had an AUC of 0.66 (0.61, 0.74). However, combined features boosted the model performance to an AUC of 0.72 (0.67, 0.79).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>We developed a prediction model for DSPN in recent-onset diabetes based on two protein biomarkers and five standard anthropometric, demographic and clinical variables. The model has a fair discrimination performance and might be used to inform the referral of patients for further testing.</p>\u0000 </section>\u0000 </div>","PeriodicalId":11335,"journal":{"name":"Diabetes/Metabolism Research and Reviews","volume":"40 8","pages":""},"PeriodicalIF":4.6,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/dmrr.70009","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142733766","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}