Journal of Diabetes Research最新文献

{"title":"Do the Interactions Between Type 1 Diabetes and Work Support Self-Management? A Best-Evidence Synthesis.","authors":"Emma Victoria Shiel, Kim Burton, Steve Hemingway","doi":"10.1155/jdr/5523829","DOIUrl":"10.1155/jdr/5523829","url":null,"abstract":"<p><p>Work can be challenging for people with Type 1 diabetes, in part due to difficulties around workplace self-management. What is unclear is the level of accommodation needed, and the type of support required, for effective self-management. To understand the interactions between work and Type 1 diabetes, a best-evidence synthesis of the available grey and peer-reviewed literature was conducted. Twenty-eight articles were included for thematic analysis. Three themes were formulated: (1) How work can be challenging for people with T1D, (2) how work can be beneficial for people with T1D, and (3) influence of policy and legislation. The interactions between Type 1 diabetes and work can hinder self-management. Work-related diabetes distress, concealment, stigma, lack of action space, and work-related intentional hyperglycaemia were reported concerns. Legislation and workplace policy around sickness and disability seem to be relatively inflexible and do not readily accommodate the needs of people with Type 1 diabetes. Conversely, work has acknowledged benefits for health and well-being, indicating a need to facilitate workplace accommodation for people with Type 1 diabetes. Current workplaces do not provide optimal support and accommodation for self-management of Type 1 diabetes. Future research should explore interventions that engage workers in their diabetes management, emphasising individual differences and empowerment. Moving forward, fostering collaborative approaches between the key actors, including managers, human resources, occupational health, and workers with Type 1 diabetes, could be important.</p>","PeriodicalId":15576,"journal":{"name":"Journal of Diabetes Research","volume":"2025 ","pages":"5523829"},"PeriodicalIF":3.6,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12105885/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144150487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Potential Role of CD99 Signaling Pathway in Schwann Cell Dysfunction in Diabetic Foot Ulcers Based on Single-Cell Transcriptome Analysis.","authors":"Yannan Zhou, Yaxin Zhou, Haohan Chen, Li Zhang, Siwei Bi","doi":"10.1155/jdr/9935400","DOIUrl":"10.1155/jdr/9935400","url":null,"abstract":"<p><p><b>Background:</b> Schwann cell (SC) dysfunction contributes to the delayed healing of diabetic foot ulcers (DFUs). However, the underlying molecular mechanism regarding the unregulated SC function is poorly understood. Thus, we examined the single-cell transcriptome data from different DFU states focusing on SC characteristics. <b>Methods:</b> The single-cell RNA sequencing (scRNA-seq) data of DFU was obtained from the Gene Expression Omnibus (GEO) database, covering foot skin samples from nondiabetic patients, diabetic patients without DFU, DFU healers, and DFU nonhealers. After scRNA-seq data processing, downscaling, and cell cluster identification, cell communication analysis was performed by the CellChat package. Furthermore, we subclustered SC populations and ran the trajectory inference and pseudotime analysis to investigate the dynamic changes in SC. Finally, the significant pathways were validated with a <i>db/db</i> mouse wound model. <b>Results:</b> scRNA-seq analysis revealed different SC percentages and gene markers across the DFU groups. We identified that the CD99 signaling pathway was upregulated in the DFU nonhealer group. In the <i>db/db</i> mouse wound model, we observed that CD99 was highly expressed in the demyelinated area of the peripheral nerve fibers. <b>Conclusion:</b> Our study elucidated that the CD99 pathway activation may play a crucial role in SC dysfunction of DFU, providing insights into the peripheral glia regulation mechanism and potential therapeutic target of DFU.</p>","PeriodicalId":15576,"journal":{"name":"Journal of Diabetes Research","volume":"2025 ","pages":"9935400"},"PeriodicalIF":3.6,"publicationDate":"2025-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12103954/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144150529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"U-Shaped Association of Visceral Fat Area With Diabetic Peripheral Neuropathy.","authors":"Xianhua Li, Yingxiang Wang, Xiaotong Feng, Lin Mao, Jing Ke, Dong Zhao","doi":"10.1155/jdr/3291418","DOIUrl":"10.1155/jdr/3291418","url":null,"abstract":"<p><p><b>Background:</b> The impact of visceral fat area (VFA) on diabetic peripheral neuropathy (DPN) remains controversial in Type 2 diabetes mellitus (T2DM), with conflicting evidence. <b>Methods:</b> We conducted a cross-sectional study at the National Metabolic Management Center of Beijing Luhe Hospital between October 2017 and May 2024. VFA was quantified using bioelectrical impedance analysis, and DPN was diagnosed according to standardized clinical criteria. The association between VFA and DPN was examined using multiple logistic regression models with comprehensive confounder adjustment. Nonlinear relationships were investigated through generalized additive models and threshold effect analyses. <b>Results:</b> Among 7436 T2DM patients (3044 females), the median VFA was 104 cm² (interquartile range: 79.5-132 cm²), with DPN present in 26.55% of participants. Generalized additive models revealed a significant U-shaped association between VFA and DPN, with an inflection point at 133 cm² (log-likelihood ratio test, <i>p</i> < 0.001). In the segmented regression analysis, each 10 cm² increase in VFA below this threshold was associated with decreased DPN risk (OR: 0.95, 95% CI: 0.93-0.97, <i>p</i> < 0.05), while increases above the threshold were associated with elevated risk (OR: 1.06, 95% CI: 1.03-1.09, <i>p</i> < 0.05). <b>Conclusions:</b> A U-shaped association exists between VFA and DPN prevalence in T2DM patients, suggesting clinical relevance of moderate visceral adiposity.</p>","PeriodicalId":15576,"journal":{"name":"Journal of Diabetes Research","volume":"2025 ","pages":"3291418"},"PeriodicalIF":3.6,"publicationDate":"2025-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12103959/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144150535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analyzing Medication Adherence Patterns Among Type 2 Diabetes Patients in Thi-Qar, Iraq: A Cross-Sectional Study.","authors":"Adel Gassab Mohammed, Nassar Taha Yaseen, Dheyaa K AlWaeli","doi":"10.1155/jdr/6659722","DOIUrl":"10.1155/jdr/6659722","url":null,"abstract":"<p><p>This research investigates the adherence levels to diabetes treatment among patients and explores the factors influencing adherence, glycemic control, and the occurrence of diabetes-related complications. A cross-sectional study involving 296 diabetes patients was conducted to evaluate their demographic and clinical profiles, treatment strategies, and adherence levels using the eight-item Morisky Medication Adherence Scale (MMAS-8). Statistical analyses identified variables affecting adherence and their relationships with glycemic control and complications. The study population comprised 56% men, with an average age of 49.4 years. Obesity was observed in 24.3% of participants, while the median disease duration was 5 years. The average HbA1c level was 8.4%. Microvascular complications were present in 48.6% of patients, and 18.2% experienced macrovascular complications. Most patients were prescribed oral antidiabetic medications (OAD), with 25% receiving insulin therapy. Adherence rates were suboptimal, with only 3.4% achieving good adherence, 30.4% moderate adherence, and 66.2% poor adherence. Men had higher rates of poor adherence compared to women (72.3% vs. 58.5%). Interestingly, adherence was better in patients with a longer disease duration and a higher body mass index (BMI). The study further examined adherence's impact on glycemic outcomes, finding that poor adherence strongly correlated with elevated HbA1c levels. Among individuals with HbA1c ≥ 7%, 70.5% exhibited poor adherence, whereas 40% of patients with good adherence still had suboptimal glycemic control. Conversely, among those with HbA1c < 7%, 24.5% demonstrated poor adherence compared to 40% with good adherence. Random blood sugar (RBS) levels were significantly higher in poorly adherent patients (237 mg/dL) versus those with good adherence (141 mg/dL). Although adherence was not statistically linked to complication prevalence, patients with reported adherence challenges were more prone to both microvascular and macrovascular complications. Different treatment regimens were also analyzed, revealing that sulfonylureas (SUs) were associated with poor adherence (85%), while sodium-glucose cotransporter 2 inhibitors (SGLT2i) showed better adherence rates (16.7%). Missed doses were strongly linked to poor glycemic outcomes but had a lesser impact on complication development. These findings underscore the need for individualized strategies to enhance adherence and optimize glycemic control, ultimately reducing diabetes-related complications.</p>","PeriodicalId":15576,"journal":{"name":"Journal of Diabetes Research","volume":"2025 ","pages":"6659722"},"PeriodicalIF":3.6,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12101902/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144142668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Derivation and Validation of Prediction Models for Prolonged Length of Stay and 30-Day Readmission in Elderly Patients With Type 2 Diabetes Mellitus: A Multicenter Study.","authors":"Juntao Tan, Yuxin He, Zhengyu Zhang, Jiaxiu Liu, Jinglong Du, Wenlong Zhao, Yanbing Liu","doi":"10.1155/jdr/3148242","DOIUrl":"10.1155/jdr/3148242","url":null,"abstract":"<p><p><b>Background:</b> Elderly patients with Type 2 diabetes mellitus (T2DM) often experience prolonged length of stay (LOS) and 30-day readmission. This study was aimed at identifying factors influencing these outcomes and develop predictive models for them. <b>Methods:</b> The least absolute shrinkage and selection operator (LASSO) combined with logistic regression was utilized to construct the prediction models, which were subsequently visualized through nomograms. The performance of these models was comprehensively evaluated in terms of discrimination, calibration, and clinical utility. Specifically, the discrimination capacity was assessed using the area under the receiver operating characteristic curve (AUROC), while calibration was evaluated via calibration curves and the Brier score. Clinical utility was examined through decision curve analysis (DCA) and clinical impact curve (CIC). Additionally, to verify the robustness and generalizability of the developed prediction models, subgroup analyses were conducted across various strata of the study population. <b>Results:</b>A total of 24 variables for 8800 patients were included for predicting prolonged LOS, and 38 variables were used for 30-day readmission prediction. In the training set, 28.42% of patients had prolonged LOS and 13.68% were readmitted within 30 days. The prolonged LOS model had an AUROC of 0.720 (95% CI: 0.703-0.737), while the 30-day readmission model achieved 0.766 (95% CI: 0.745-0.787). The Brier scores were 0.174 (95% CI: 0.168-0.180) and 0.102 (95% CI: 0.096-0.108), respectively. Both models showed good clinical utility in DCA and CIC analyses. Subgroup validation across different age groups showed consistent performance, with all AUROCs above 0.60. Albumin was identified as the most significant predictor in both models. <b>Conclusion:</b> The predictive models developed in this study demonstrated robust performance in forecasting common outcomes in elderly patients with T2DM. Moreover, albumin level was strongly associated with both prolonged LOS and 30-day readmission, making it a key factor in patient management.</p>","PeriodicalId":15576,"journal":{"name":"Journal of Diabetes Research","volume":"2025 ","pages":"3148242"},"PeriodicalIF":3.6,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12088840/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144101906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Causal Effect of Basal Metabolic Rate on Type 2 Diabetes: A Two-Sample Mendelian Randomization Study.","authors":"Yu Huang, Jianxuan Wen, Xiaofeng Liao, Guiling Chen, Xiang Zeng, Yu Chen","doi":"10.1155/jdr/6523642","DOIUrl":"10.1155/jdr/6523642","url":null,"abstract":"<p><p><b>Aim:</b> This study is aimed at systematically investigating the potential causal impact of basal metabolic rate (BMR) on the risk of Type 2 diabetes (T2D). <b>Methods:</b> Data pertaining to single-nucleotide polymorphisms (SNPs) associated with BMR and T2D were gathered through a genome-wide association study (GWAS). Employing T2D as the dependent variable and BMR as the independent variable, SNPs displaying significant correlation with BMR were identified as instrumental variables (IVs). We also performed multivariable MR (MVMR) analyses using two different BMR datasets. The connection between BMR and the risk of T2D was scrutinized using the inverse-variance weighted (IVW) method, and a sensitivity analysis was executed to evaluate heterogeneity and pleiotropy. <b>Results:</b> A potential causal relationship between higher BMR and increased T2D risk was observed (odds ratio (OR), 1.49; 95% confidence interval (CI), 1.31-1.7; <i>p</i> < 0.001). Significant heterogeneity was identified (Cochran's <i>Q</i> test, <i>p</i> < 0.001). However, sensitivity analyses demonstrated the robustness of the findings, with no evidence of horizontal pleiotropy and consistent results in leave-one-out tests. The MR-PRESSO test identified no outliers, confirming the absence of unknown pleiotropic effects. MVMR analyses, however, showed that the evidence became weaker after conditioning on BMI. <b>Conclusion:</b> Our study provides robust evidence of a causal link between higher BMR and increased T2D risk. Despite heterogeneity, sensitivity analyses support our findings, warranting further research to confirm results and explore underlying mechanisms.</p>","PeriodicalId":15576,"journal":{"name":"Journal of Diabetes Research","volume":"2025 ","pages":"6523642"},"PeriodicalIF":3.6,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12085242/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144093934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Protective Effects of Isolated Curcumin From <i>Curcuma longa</i> on Key Enzymes Involved in the Insulin Signaling Pathway and Digestive and Metabolic Enzymes Associated With Obesity, Type 2 Diabetes, and Hypertension.","authors":"Munirah S O Alhar, Walaa I El-Sofany, Aljazi Abdullah AlRashidi, Khaled Hamden","doi":"10.1155/jdr/8050374","DOIUrl":"https://doi.org/10.1155/jdr/8050374","url":null,"abstract":"<p><p>This study explores the potential of curcumin (CUR), extracted from <i>Curcuma longa</i>, in combating obesity and Type 2 diabetes. Obesity and Type 2 diabetes were induced in rats through a high-fat and high-fructose diet (HFFD), and CUR, after purification and characterization by Fourier transform infrared spectroscopy (FTIR) and ultraviolet (UV) spectroscopy, was administered for 3 months via gastric gavage. The results show that CUR supplementation activates the insulin signaling pathway in a dose-dependent manner, leading to improved insulin sensitivity. Specifically, administering CUR at a daily dose of 100 mg/kg significantly reduces the activities of protein tyrosine phosphatase (PTP1B) and dipeptidyl peptidase-4 (DPP-4) by 43% and 45%, respectively, in obese and Type 2 diabetic rats compared to untreated obese rats. Furthermore, CUR effectively inhibits lipase and <i>α</i>-amylase activities at both the serum and intestinal levels. In obese rats, CUR administration reduces glycogen phosphorylase (GP) activity by 35% and enhances glycogen synthase (GS) activity by 78%, leading to a substantial increase in hepatic glycogen content. Additionally, CUR also led to a 21% reduction in food intake and a 12% decrease in water consumption. These changes contributed to significant reductions in the blood sugar and glycosylated hemoglobin (HbA1c) levels, with decreases of 59% and 53%, respectively. Additionally, administering CUR at a dose of 100 mg/kg body weight reduced thiobarbituric acid reactive substances (TBARSs), hydrogen peroxide (H₂O₂), and total oxidant status (TOS) in obese and diabetic rats, with reductions of 49%, 59%, and 58%, respectively. Furthermore, CUR demonstrates a strong regulatory effect on the levels of low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and total cholesterol (TC). Overall, these results underscore the CUR potential for treating and preventing diabetes and obesity.</p>","PeriodicalId":15576,"journal":{"name":"Journal of Diabetes Research","volume":"2025 ","pages":"8050374"},"PeriodicalIF":3.6,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12081152/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144078315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification and Validation of Tryptophan Metabolism-Related Genes in Diabetic Kidney Disease and Construction of a Clinical Prediction Model.","authors":"Shaojie Liu, Qingqing Jiang, Wenli Li, Jinbao Shi, Binxuan Wu, Man Xiong, Liuying Huang","doi":"10.1155/jdr/2736801","DOIUrl":"https://doi.org/10.1155/jdr/2736801","url":null,"abstract":"<p><p><b>Background:</b> Diabetic kidney disease (DKD) is a common microvascular complication of diabetes mellitus (DM). Amino acid (AA) homeostasis has an important impact on renal hemodynamics and glomerular hyperfiltration in patients with DKD, and the metabolite level of tryptophan (TRP), an AA, has been associated with various diseases. <b>Methods:</b> In this study, DKD tubule- and glomerulus-related microarray datasets were collected from the GEO database, and DKD-related modular genes were identified by weighted gene coexpression network analysis (WGCNA). TRP metabolism-related genes (TRGs) were downloaded from the MSigDB database, and the key genes were obtained by taking the intersection of DKD differentially expressed genes, TRGs, and modular genes. Validated with the Nephrseq v5 database and performed clinical prediction model construction. The association of pivotal genes with immune cell infiltration was verified using CIBERSORTx software. The protein expression of the key genes was verified by qPCR, Western blot, immunohistochemistry, and immunofluorescence. <b>Results:</b> Four hundred and seventy seven DEGs were identified in the GSE30529 dataset, 392 DEGs were identified in the GSE30528 dataset, and the intersection of the DEGs in the two datasets, the module with the most significant correlation with DKD obtained by WGCNA, and the TRGs were taken, respectively. Five key genes were finally obtained (AOC1, HAAO, STAT1, OGDHL, and TDO2). Compared with control-group mice, the expression of AOC1, HAAO, and OGDHL was significantly downregulated, and the expression of STAT1 and TDO2 was significantly elevated in DKD mice. The diagnostic model was constructed using the key genes AUC = 0.996. <b>Conclusion:</b> Our study suggests that the AOC1, HAAO, and STAT1 genes may be potential diagnostic biomarkers of tubular injury in DKD. OGDHL and TDO2 may be potential diagnostic biomarkers of glomerular injury in DKD. The model constructed using AOC1, HAAO, STAT1, OGDHL, and TDO2 had good disease differentiation.</p>","PeriodicalId":15576,"journal":{"name":"Journal of Diabetes Research","volume":"2025 ","pages":"2736801"},"PeriodicalIF":3.6,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12081153/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144078314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correlation Studies Between Double-Stranded DNA and Diabetes Mellitus.","authors":"Wanli Niu, Zhuo Li, Chunmeng Liu, Ziyan Zhang, Weiwei Chen, Yirui Wang, Xiaofen Guo, Xinyu Feng, Yuge Wang, Guanglei Shi, Yuhang Liu, Haoran Shen, Yang Han, Qi Zhen, Ruimin Wang, Liangdan Sun","doi":"10.1155/jdr/9919456","DOIUrl":"https://doi.org/10.1155/jdr/9919456","url":null,"abstract":"<p><p><b>Background:</b> Diabetes mellitus (DM) is a common chronic endocrine and metabolic disease, and its complications can involve multiple organs and seriously threaten human health. Double-stranded DNA (dsDNA) plays an important role in the autoimmune system; however, the correlation between dsDNA and DM has not been fully studied. <b>Methods:</b> This study recruited 388 diabetic patients and 2970 healthy controls to investigate the relationship between serum dsDNA and DM. The diagnosis of DM was based on the medical diagnostic and treatment standards for DM published by the American Diabetes Association (ADA). The study adhered to ethical principles and obtained informed consent from all participants. We measured serum dsDNA levels in both diabetic patients and healthy controls. The study examined differences in serum dsDNA levels among diabetic patients under various conditions, including different temperatures, ultraviolet (UV) light exposure, seasons, and clinical indicators. Additionally, quantitative PCR was used to assess the expression of dsDNA receptors, single-stranded RNA (ssRNA) receptors, absent in melanoma factor 2 (AIM2)-related inflammatory factors, and Type I interferon (INF) in the peripheral blood of patients and control groups. <b>Results:</b> Peripheral blood serum dsDNA levels were elevated in diabetic patients compared to controls (mean values 1.09 and 0.97 ng/ml, respectively, <i>p</i> < 0.001). We also found that the gene expression levels of dsDNA receptor, ssRNA receptor, AIM2-related inflammatory factors, and Type I IFN in diabetic patients were upregulated. And serum dsDNA levels correlated with clinical indicators. <b>Conclusions:</b> We have confirmed that DM is closely associated with serum dsDNA levels. Therefore, dsDNA detection shows promise as a novel approach for evaluating DM progression, offering new insights for the future diagnosis and treatment of DM.</p>","PeriodicalId":15576,"journal":{"name":"Journal of Diabetes Research","volume":"2025 ","pages":"9919456"},"PeriodicalIF":3.6,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12055326/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143982825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"<i>ADAM9</i> Genetic Variants and Their Role in Modulating Enzyme Activity in Diabetes and Metabolic Traits.","authors":"Hana Drobiova, Fahd Al-Mulla, Rabeah Al-Temaimi","doi":"10.1155/jdr/5519447","DOIUrl":"https://doi.org/10.1155/jdr/5519447","url":null,"abstract":"<p><p>A disintegrin and metalloproteinase Domain 9 (ADAM9) is a zinc-dependent proteinase involved in various biological processes. However, its role in the pathophysiology of metabolic syndrome remains unclear, and studies exploring the association between ADAM9 polymorphisms and metabolic traits are limited. In this study, we investigated the potential link between ADAM9 variants and metabolic syndrome traits in a cohort of adult participants from Kuwait. Using a genome-wide association study (GWAS), followed by a replication study, we identified two ADAM9 variants-ADAM9-E76K (rs61753672) and ADAM9-P750L (rs144750648)-that were associated with various metabolic traits. The replication phase confirmed the association of ADAM9-P750L with HbA1c levels and revealed new associations with systolic blood pressure, waist-to-hip ratio, fasting blood glucose, triglycerides, and cholesterol. Functional analysis showed that both variants exhibited reduced proteolytic activity, potentially contributing to the pathogenesis of Type 2 diabetes. These findings suggest that ADAM9 variants may play a significant role in metabolic health and diabetes risk.</p>","PeriodicalId":15576,"journal":{"name":"Journal of Diabetes Research","volume":"2025 ","pages":"5519447"},"PeriodicalIF":3.6,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12052454/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143999239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}