Diabetology & Metabolic Syndrome最新文献

{"title":"Screening and management of hospital hyperglycemia in non-critical patients: a position statement from the Brazilian Diabetes Society (SBD).","authors":"Emerson Cestari Marino, Denise Momesso, Marcos Tadashi Kakitani Toyoshima, Maria Fernanda Ozorio de Almeida, Beatriz D Schaan, Leandra Anália Freitas Negretto, Augusto Cezar Santomauro Junior, Priscilla Cukier, Paulo Roberto Rizzo Genestreti, Alina Coutinho Rodrigues Feitosa, Jorge Eduardo da Silva Soares Pinto, Rogerio Silicani Ribeiro, Rodrigo Nunes Lamounier, Ruy Lyra, Marcello Casaccia Bertoluci","doi":"10.1186/s13098-025-01585-z","DOIUrl":"10.1186/s13098-025-01585-z","url":null,"abstract":"<p><strong>Background: </strong>Hospital Hyperglycemia (HH) is linked to poorer outcomes, including higher mortality rates, increased ICU admissions, and extended hospital stays, and occurs in both people living with diabetes or not. The prevalence of HH in non-critical patients ranges from 22 to 46%. This panel reviewed the evidence and made recommendations for the best care for hospitalized hyperglycemic patients, with or without diabetes mellitus.</p><p><strong>Methods: </strong>The methodology was published previously and was defined by the internal institutional steering committee. The SBD Acute and Hospital Complications Department drafted the manuscript, selecting key clinical questions for a narrative review using MEDLINE via PubMed. The best available evidence was reviewed, including randomized clinical trials (RCTs), meta-analyses, and high-quality observational studies related to Hospital Hyperglycemia.</p><p><strong>Results and conclusions: </strong>The department members and external experts developed 23 recommendations for the management of patients with HH, including screening, initial interventions, treatment adjustments, and care for potential complications. Based on the best available evidence, our article provides safe and effective management strategies for both public and private healthcare settings.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":"17 1","pages":"54"},"PeriodicalIF":3.4,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11823188/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143406070","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 prognostic value of remnant cholesterol to adverse renal outcomes in patients with type 2 diabetes.","authors":"Pan Yu, Qiongjing Yuan, Ling Huang, Lijian Tao, Zhangzhe Peng, Jiaxi Pu","doi":"10.1186/s13098-025-01617-8","DOIUrl":"10.1186/s13098-025-01617-8","url":null,"abstract":"<p><strong>Background: </strong>Type 2 diabetes (T2DM) is known to have detrimental effects on renal health. Our study aimed to investigate the relationship between remnant cholesterol (remnant-C) and adverse renal outcomes in patients with T2DM.</p><p><strong>Methods: </strong>We utilized data from the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial, which included 10,196 participants with T2DM to investigate the relationship between remnant-C and adverse renal outcomes by performing Kaplan-Meier survival analysis, Cox proportional regression and Restricted cubic spline (RCS) analysis. Finally, several sensitivity analyses were conducted to assess the robustness of our findings.</p><p><strong>Results: </strong>Over a 7-year follow-up period, 2039 patients (23.2%) developed albuminuria, 5824 patients (57.1%) experienced worsening renal function, and 280 patients (2.7%) progressed to renal failure. After adjusting for multiple confounding factors, we found that remnant-C was significantly associated with the development of albuminuria (P = 0.007) and worsening renal function (P = 0.002). However, there was no discernible connection between remnant-C and renal faiure (P = 0.621). In sensitivity analyses, the association between remnant-C and the risk of adverse renal outcomes remained robust.</p><p><strong>Conclusion: </strong>Our findings highlight the association between remnant-C and the risk of adverse renal outcomes in patients with T2DM. This easily calculable index can provide valuable information to physicians for predicting the risk of adverse renal outcomes in patients with T2DM.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":"17 1","pages":"52"},"PeriodicalIF":3.4,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11823253/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143406073","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 association between visceral fat metabolic score and stroke: mediation by declining kidney function.","authors":"Yue Cao, Weixing Wen, Hao Zhang, Weiwen Li, Guolin Huang, Yuli Huang","doi":"10.1186/s13098-025-01608-9","DOIUrl":"10.1186/s13098-025-01608-9","url":null,"abstract":"<p><strong>Background: </strong>Stroke is a leading cause of mortality and disability worldwide. Metabolic Score for Visceral Fat (METS-VF), a metric of visceral obesity, has emerged as a novel predictor of metabolic diseases. However, its association with stroke remains unclear. This study investigates the relationship between METS-VF and the risk of stroke, as well as the potential mediating role of kidney function.</p><p><strong>Methods: </strong>Data from the 1999-2020 National Health and Nutrition Examination Survey (NHANES) were analyzed, including 19,109 participants. Weighted logistic regression models were used to assess the association between METS-VF and stroke risk, with restricted cubic splines employed to explore their non-linear relationships. Mediation analysis examined the role of kidney function, measured by estimated glomerular filtration rate (eGFR). Subgroup and sensitivity analyses, including propensity score matching (PSM) and multiple imputations, were conducted to ensure the robustness of the findings.</p><p><strong>Results: </strong>Higher METS-VF was significantly associated with an increased risk of stroke (OR = 2.78, 95% CI: 1.71-4.52, P < 0.001) after adjusting for multiple covariates. A non-linear relationship was observed, with stroke risk sharply increasing when METS-VF exceeded 7.00. Mediation analysis revealed that declining eGFR mediated 26.72% of the METS-VF-stroke association. Subgroup analysis indicated that the association was stronger in men (OR = 5.06, 95% CI: 2.80-9.12, P < 0.001) than in women (OR = 2.01, 95% CI: 1.03-3.92, P = 0.04, P for interaction = 0.01). Sensitivity analyses using PSM and multiple imputations confirmed the robustness of the results.</p><p><strong>Conclusions: </strong>METS-VF is independently associated with stroke risk, showing a non-linear relationship, with a potential mediating role of declining kidney function.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":"17 1","pages":"50"},"PeriodicalIF":3.4,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11806899/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143370710","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":"Metabolic syndrome in type 1 diabetes: higher time above range and glycemic variability revealed by continuous glucose monitoring (CGM).","authors":"Yayu Fang, Wei Liu, Xiaoling Cai, Yu Zhu, Mingxia Zhang, Siqian Gong, Xiangqing Wang, Chu Lin, Rui Zhang, Sai Yin, Juan Li, Yongran Huo, Xiaodan Hu, Xiaoqi Xie, Linong Ji","doi":"10.1186/s13098-025-01602-1","DOIUrl":"10.1186/s13098-025-01602-1","url":null,"abstract":"<p><strong>Aims: </strong>To investigate the glucose profile of Chinese individuals with type 1 diabetes (T1D) who also have metabolic syndrome.</p><p><strong>Materials and methods: </strong>Type 1 diabetes participants from Peking University People's Hospital were recruited from Jan 2017 to Jan 2024. The diagnosis of metabolic syndrome was developed based on the updated National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATPIII) criteria. Demographic data, anthropometric measurements, clinical information and continuous glucose monitoring (CGM) data were collected and compared between participants with metabolic syndrome and those without.</p><p><strong>Results: </strong>The median age of the participants was 50.0 years (IQR 35.0-63.3), and the median duration was 10.0 years (IQR 2.0-17.0). Compared to those without metabolic syndrome, participants with metabolic syndrome were older (63.0 years, IQR 41.0-69.0 vs. 48.5 years, IQR 35.0-60.0; P < 0.001) and had a longer duration (13.0 years, IQR 5.0-22.0 vs. 9.0 years, IQR 2.0-15.0; P = 0.011). The comparison of CGM metrics suggested significantly higher time above range (TAR, 48.9%, IQR 35.3-59.5 vs. 32.8%, IQR 16.1-47.6; P < 0.001), standard deviation (SD, 3.6 ± 0.9 mmol/L vs. 3.2 ± 1.0 mmol/L; P = 0.022) and interquartile range (IQR, 4.2 mmol/L, IQR 3.2-4.8 vs. 3.7 mmol/L, IQR 3.0-4.5; P = 0.046) in those with metabolic syndrome. And the Logistic regression analysis showed that TAR (OR 1.53, 95% CI 1.02-2.23, per 20% increase), SD ( OR 1.75, 95% CI 1.07-2.84, P = 0.025) and IQR (OR 1.50, 95% CI 1.03-2.19, P = 0.036) were positively associated with metabolic syndrome after adjusting for age, sex, diabetes duration, BMI and complication status.</p><p><strong>Conclusions: </strong>Our findings suggested that in T1D participants, metabolic syndrome was associated with higher glucose level and glycemic variability. Personalized diabetes education including optimal meal planning and sufficient physical activity should be emphasized to improve glycemic control in T1D with metabolic syndrome.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":"17 1","pages":"49"},"PeriodicalIF":3.4,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11806569/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143370706","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":"Obesity mediates the association between psoriasis and diabetes incidence: a population-based study.","authors":"Zuojiao Xu, Kaihua Ma, Yinuo Zhai, Jing Wang, Yan Li","doi":"10.1186/s13098-025-01622-x","DOIUrl":"10.1186/s13098-025-01622-x","url":null,"abstract":"<p><strong>Introduction: </strong>The aim of this study was to explore the association between psoriasis and diabetes and to assess the potential moderating role of obesity in this relationship.</p><p><strong>Methods: </strong>The study involving data from 21,835 NHANES participants during 2003-2006 and 2009-2014. The analysis included body mass index (BMI), as well as information about psoriasis and diabetes obtained from questionnaires. The study employed weighted logistic regression to examine the association between psoriasis and diabetes. The nonlinear relationship between obesity, diabetes, and psoriasis was explored through smooth curve fitting, stratified by age and gender. In addition, the authors conducted mediation analysis, which suggested that obesity partially mediated the association between psoriasis and diabetes prevalence.</p><p><strong>Results: </strong>After adjusting for relevant variables, we found that individuals with psoriasis had a significantly higher incidence of diabetes (OR = 1.48, 95% CI = 1.16-1.90, P = 0.002). A positive relationship was identified between BMI levels and diabetes occurrence among individuals with psoriasis, with a significant difference observed between the highest (Q4) and lowest (Q1) BMI quartiles (P < 0.05). Further analysis using smooth curve fitting demonstrated the consistent association between BMI and diabetes, which was also evident in psoriasis patients. Age-stratified analysis showed that diabetes was more prevalent among older adults compared to younger individuals at the same BMI levels. For psoriasis, an inflection point was noted in men where its prevalence began to decline as BMI exceeded a certain threshold. Similarly, in younger adults, psoriasis prevalence decreased above a specific BMI threshold. Additionally, mediation analysis indicated that obesity played a partial role in linking psoriasis and diabetes, accounting for approximately 22.91% of this association.</p><p><strong>Conclusion: </strong>The study found an association between psoriasis and diabetes. Additionally, the analysis suggested that obesity may partially contribute to this relationship, indicating it could play a role in linking the two conditions.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":"17 1","pages":"51"},"PeriodicalIF":3.4,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11806695/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143370709","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 combined impact of BMI and ABSI on all-cause mortality among American adults with diabetes.","authors":"Shuwu Wei, Weimin Jiang, Huijuan Zheng, Jiale Zhang, Jie Yang, Yaoxian Wang, Yang Liu, Liqiao Sun, Xinrong Li, Junping Wei, Weiwei Sun","doi":"10.1186/s13098-025-01614-x","DOIUrl":"10.1186/s13098-025-01614-x","url":null,"abstract":"<p><strong>Objective: </strong>Previous studies have emphasized the independent effects of anthropometric indices-including body mass index (BMI), A Body Shape Index (ABSI), waist-to-height ratio (WHtR), body roundness index (BRI), and Conicity Index-on mortality. However, their combined impact, especially in diabetic populations with distinct obesity patterns, has been less frequently explored. This study investigates both the independent and combined effects of these anthropometric indices on mortality in diabetic Americans and compares their individual and combined diagnostic value.</p><p><strong>Methods: </strong>A nationally representative cohort study was conducted using NHANES data (2005-2018), including 6,572 diabetic adults. Weighted Cox proportional hazards models and restricted cubic splines were applied to evaluate the independent and combined associations of anthropometric indices (BMI, ABSI, WHtR, BRI, and Conicity Index) with all-cause mortality. The weighted receiver operating characteristic (ROC) curve was used to assess the diagnostic value of individual anthropometric indices and their combinations in predicting mortality.</p><p><strong>Results: </strong>Among all the anthropometric indices, ABSI exhibited the strongest independent association with all-cause mortality, outperforming other measures such as BMI, WHtR, BRI, and Conicity Index. A clear linear relationship was identified, with higher ABSI tertiles consistently linked to an increased risk of mortality. Notably, within each BMI tertile, ABSI effectively differentiated mortality risk, particularly in the highest tertile. Furthermore, ABSI demonstrated the highest predictive performance among individual metrics (weighted AUC = 0.653) and showed further improvement when combined with BMI (weighted AUC = 0.669).</p><p><strong>Conclusion: </strong>BMI and ABSI collectively provide a comprehensive evaluation of mortality risk in diabetic populations, capturing the synergistic effects of general and central obesity. These findings highlight the importance of integrating BMI and ABSI into risk assessments to identify high-risk individuals and guide targeted interventions for reducing mortality.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":"17 1","pages":"48"},"PeriodicalIF":3.4,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11806875/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143370712","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":"Causal role of plasma liposome in diabetic retinopathy: mendelian randomization (MR) study.","authors":"Kai Yin, Lu Ding, Xueyan Li, Yuqi Zhang, Siyu Song, Liyuan Cao, Ruixue Deng, Min Li, Zirui Li, Qinjing Xia, Daqing Zhao, Xiangyan Li, Zeyu Wang","doi":"10.1186/s13098-025-01612-z","DOIUrl":"10.1186/s13098-025-01612-z","url":null,"abstract":"<p><strong>Background: </strong>Research indicates that there may be an association between plasma lipidome levels and the incidence of diabetic retinopathy (DR) in patients. However, the potential causality of this relationship is yet to be determined. To investigate this matter further, we employed a two-sample Mendelian randomization (MR) analysis to comprehensively assess the causality between lipidome levels and DR.</p><p><strong>Methods: </strong>Summary statistics for lipid levels and DR were obtained from the Genome-Wide Association Studies (GWAS) Catalog database and the FinnGen Consortium, respectively. We conducted a two-sample MR analysis, and statistical analysis were performed using the inverse variance weighted (IVW) with the addition of the MR-Egger, weighted median (WM), constrained maximum likelihood and model averaging (cML-MA) to test for causal associations between lipid levels and DR. Heterogeneity was checked using Cochran's Q statistic. The MR Pleiotropy Residual Sum and Outlier (MR-PRESSO) global test and the MR-Egger regression were used to detect horizontal pleiotropy. The robustness of our findings was assessed using leave-one-out and funnel plots. To further assess the reliability of the results, linkage disequilibrium score regressions, colocalization analysis and reverse MR analysis were also performed.</p><p><strong>Results: </strong>Analysis of the pooled MR results and after correction for the false discovery rate (FDR) revealed that five lipid levels were associated with DR risk. Phosphatidylcholine (16:0_16:0) levels [OR = 0.869 (0.810 to 0.933), P_fdr = 0.006], phosphatidylcholine (16:0_20:2) levels [OR = 0.893 (0.834 to 0.956), P_fdr = 0.043] and phosphatidylethanolamine (18:0_20:4) levels [OR = 0.906 (0.863 to 0.951), P_fdr = 0.006] were protective against DR, whereas sphingomyelin (d36:1) levels [OR = 1.120 (1.061 to 1.183), P_fdr = 0.006], and sphingomyelin (d40:1) levels [OR = 1.081 (1.031 to 1.134), P_fdr = 0.043] were associated with a greater risk of DR. Further sensitivity analysis did not reveal heterogeneity or horizontal pleiotropy.</p><p><strong>Conclusion: </strong>In summary, genetic evidence suggests a causal relationship between the levels of specific lipid levels and DR. These findings may provide valuable insights into the causal relationships between lipid levels and DR, potentially informing future prevention and treatment strategies.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":"17 1","pages":"47"},"PeriodicalIF":3.4,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11803952/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143370705","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":"Diabetes and tuberculosis: a systematic review and meta-analyis of mendelian randomization evidence.","authors":"Ivaan Pitua, Raafidha Raizudheen, Mark Muyanja, Joseph Nyero, Morrish Okello Obol","doi":"10.1186/s13098-025-01615-w","DOIUrl":"10.1186/s13098-025-01615-w","url":null,"abstract":"<p><strong>Background: </strong>Tuberculosis (TB) and diabetes mellitus (DM) are global health challenges, each imposing significant morbidity and mortality. Observational studies suggest an increased TB risk in individuals with DM, yet causal relationships remain unclear due to potential confounding factors. Mendelian randomization (MR) offers a method to assess causality by leveraging genetic variants as instrumental variables, mitigating biases from confounding and reverse causation. This systematic review aimed to consolidate existing MR evidence on the causal link between DM (types 1 and 2) and TB.</p><p><strong>Methods: </strong>A comprehensive search was conducted in PubMed, Embase, Google Scholar, and Web of Science, identifying MR studies investigating the causal association between DM and TB. Studies were screened based on pre-specified inclusion criteria and assessed for quality using the STROBE-MR guidelines. Data extraction focused on study characteristics, MR methodology, and causal effect estimates. A meta-analysis was conducted estimate the pooled odds ratios for association between T2DM and TB.</p><p><strong>Results: </strong>Four MR studies met the inclusion criteria, spanning East Asian and European populations. Findings indicated a consistent causal relationship between DM (particularly type 2 diabetes) and increased TB risk, with odds ratios (OR) ranging from 1.07 to 1.24 (p < 0.05). The pooled odds ratio (OR) was 1.2172 (95% CI: 1.1101-1.3347, p < 0.0001), indicating a significant positive association between T2DM and TB. One study identified pleiotropic effects, suggesting potential genetic overlap in DM and TB susceptibility. No reverse causal association was observed, indicating that TB does not increase the risk of DM.</p><p><strong>Conclusion: </strong>This review highlights a causal association between DM and TB, emphasizing the need for integrated screening and management of DM within TB control programs, particularly in high-burden regions. Future MR studies should include diverse populations to enhance generalizability and explore genetic mechanisms underlying this association.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":"17 1","pages":"46"},"PeriodicalIF":3.4,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11796176/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143255082","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":"ZBiotics ameliorates T2DM-induced histopathological damage in liver, kidney and adipose tissues by modulating the NOD-like receptor signaling in Wistar rats.","authors":"Mohammed Esawie, Marwa Matboli, Mariam Sameh Bushra, Amany H Hasanin, Eman Kamal Habib, Reham Hussein Mohamed, Hebatalla Said Ali","doi":"10.1186/s13098-025-01600-3","DOIUrl":"10.1186/s13098-025-01600-3","url":null,"abstract":"<p><p>Probiotics serve as promising candidates in type 2 diabetes mellitus (T2DM) therapy. Not only they presumably reduce the T2DM prevalence, but also keep down its complications. In the present study, we explored the beneficial impact of ZBiotics, an engineered probiotic, on T2DM Wistar rats. In silico analysis was performed to construct a genetic-epigenetic network linked to STING-NOD pathway and autophagy signaling. Then, 30 Wistar rats were divided into 5 groups (each n = 6); normal group, diabetic model, B. subtilis, and ZBiotics treated rats at high and low doses. Experimental procedures were carried out including biochemical and histopathologic analyses. Samples were extracted from rats' blood, liver, kidney and adipose tissues. At the molecular aspect, the molecular players, chosen by the in silico analysis, were assessed using 2^-ΔΔCt to estimate their relative quantification. With immunohistochemistry, TNF-alpha and LC3B were assessed as reflectors for inflammation and autophagy respectively. ZBiotics was reported to ameliorate the T2DM-induced histological damage. Besides, it downregulated TNF-alpha and upregulated LC3B expression levels. At the biochemical aspect, ZBiotics corrected LDL-c and improved serum creatinine and CK-MB levels. Inflammation relevant genes have been downregulated regarding CHUK, NFKB1 and miR-611. Therefore, ZBiotics is speculated to operate by modulating the genetic-epigenetic network linked to inflammatory cGAS-STING and autophagy signaling. ZBiotics is recommended for clinical trials as a separate candidate or as an adjuvant to the conventional T2DM therapy.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":"17 1","pages":"45"},"PeriodicalIF":3.4,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11792315/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143188620","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":"Population characteristics, prescription patterns and glycemic control of users of flash glucose monitoring systems in Brazil: a real-world evidence study.","authors":"Karla Santo, Josué Nieri, Karine Risério, Karla F S Melo","doi":"10.1186/s13098-025-01610-1","DOIUrl":"10.1186/s13098-025-01610-1","url":null,"abstract":"<p><strong>Background: </strong>To date, there is a lack of information on the use of flash glucose monitoring system (fCGM) in low-middle income countries, such as Brazil, as well as on digital health platforms most used to calculate the bolus insulin dose. In this study, we aimed to describe the population characteristics, prescription patterns and glycemic control of fCGM users compared to blood glucose monitoring (BGM) system in those who use Glic™, a digital health platform in Brazil, and to assess factors associated with better glycemic control in this population.</p><p><strong>Methods: </strong>This study is a cross-sectional retrospective study using anonymized aggregated data manually inputted by Glic™ users who self-reported a diagnosis of type 1 diabetes (T1DM), type 2 diabetes (T2DM), gestational diabetes (GDM) and latent autoimmune diabetes in adults (LADA).</p><p><strong>Results: </strong>Of the 12,727 individuals included in this study, 11,007 (86.5%) reported their glucose monitoring method to be BGM, while 1720 (13.5%) reported using fCGM. Most individuals (70.5%) had T1DM. Compared to BGM, fCGM users were significantly younger, had a higher proportion of males, resided more frequently in the Southeast region of Brazil, had a lower BMI, a longer time since diagnosis, and used Glic™ platform more frequently. fCGM users were prescribed significantly more ultra-long and ultra-rapid acting insulins as their basal and bolus insulin, respectively, and less oral anti-diabetics drugs compared to BGM users. Considering only the T1DM and LADA individuals and their manual glucose inputs, fCGM users had non-significant lower glucose levels than BGM. Use of Glic™ platform and a higher percentage of basal insulin dose were associated with a better glycemic control.</p><p><strong>Conclusion: </strong>This is the first and largest real-world evidence study that describe and compare fCGM and BGM in users of a digital health patient support platform in Brazil. fCGM users were significantly different from those who perform BGM, in terms of population characteristics and treatment patterns. Glycemic control was better in fCGM users, although not statistically significant due to a restricted sample size. Importantly, a higher frequency of Glic™ use was associated with a higher glucose time in range.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":"17 1","pages":"44"},"PeriodicalIF":3.4,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11789284/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143122351","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}