Diabetology & Metabolic Syndrome最新文献

{"title":"The impact of sex hormones on metabolic syndrome: univariable and multivariable Mendelian randomization studies.","authors":"Siyuan Liu, Zhuosong Mu, Xinyi Chen, Yingying Xu","doi":"10.1186/s13098-024-01443-4","DOIUrl":"10.1186/s13098-024-01443-4","url":null,"abstract":"<p><strong>Background: </strong>Observational studies have found associations between sex hormones and metabolic syndrome(Mets), but the causal relationships remains unclear. This study utilizes univariable and multivariable Mendelian randomization (MR) to elucidate the associations between sex hormones (including sex hormone-binding globulin(SHBG), estradiol(E2), testosterone(T)) and Mets and its subtypes (including waist circumference(WC), fasting blood glucose(FBG), high blood pressure(HBP), high-density lipoprotein(HDL-C), triglycerides(TG)).</p><p><strong>Methods: </strong>We utilized summary data from large-scale genome-wide association studies. Univariable Mendelian randomization (UMVMR) analysis was primarily conducted using the inverse variance weighted method (IVW), with secondary analyses employing the weighted median, MR-Egger regression, simple mode method, and weighted mode method. Subsequently, multivariable Mendelian randomization (MVMR) was employed to assess the causal relationships between SHBG, T, E2, and MetS and its components: WC, FPG, HBP, HDL-C, and TG. Sensitivity analyses were conducted to assess result reliability.</p><p><strong>Results: </strong>Genetically predicted SHBG was significantly negatively associated with MetS (UMVMR: β=-0.72; 95% CI = 0.41 to 0.57; P = 1.28e-17; MVMR: β=-0.60; 95% CI=-0.83 to -0.38; P < 0.001). Positive causal relationships were observed between SHBG and WC(MVMR: β = 0.10; 95% CI = 0.03 to 0.17; P = 0.01) and HDL-C (MVMR: β = 0.41; 95% CI = 0.21 to 0.60; P < 0.001), while negative causal relationships were found between SHBG and HBP (MVMR: β=-0.02; 95% CI=-0.04 to -0.00; P = 0.02), TG (MVMR: β=-0.48; 95% CI=-0.70 to -0.26; P < 0.001). Genetically predicted E2 exhibited a negative association with TG (MVMR: β=-1.49; 95% CI=-2.48 to -0.50; P = 0.003). Genetically predicted T was negatively associated with TG (MVMR: β=-0.36; 95% CI=-0.71 to -0.00; P = 0.049) and WC (MVMR: β=-0.13; 95% CI=-0.24 to -0.02; P = 0.02), with inconsistent sensitivity analyses. Additionally, No other causal associations were found.</p><p><strong>Conclusion: </strong>Our study indicates that SHBG is a protective factor for MetS, potentially delaying its onset and progression through improvements in HBP and TG. Furthermore, T and E2 may improve TG levels, with T also reducing WC levels. Importantly, our study provides new insights for the prevention and treatment of MetS.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11370018/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142119219","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":"Heterogeneous response of estimated insulin sensitivity indices to metformin in young individuals with type 1 diabetes and different phenotypes.","authors":"Luana A L Ramaldes, Sarah S Dos Santos, Patricia M Dualib, Joao R de Sa, Sérgio A Dib","doi":"10.1186/s13098-024-01451-4","DOIUrl":"10.1186/s13098-024-01451-4","url":null,"abstract":"<p><strong>Aims: </strong>This study aimed to investigate whether the response to adding metformin to insulin in young adults with type 1 diabetes (T1D) differs according to weight phenotype and insulin sensitivity index.</p><p><strong>Methods: </strong>A prospective pilot study was conducted over 26 weeks in which insulin plus metformin (2 g/day) was administered to 35 individuals, ranging from normal weight (NW) to overweight (OW) to obese (OB) T1D individuals, to correlate insulin sensitivity indices and other clinical variables.</p><p><strong>Results: </strong>At the end of the follow-up period, all groups showed an increase in the eGDR (NW: 7.37 vs 8.16, p = 0.002; OW: 7.28 vs 8.24, p < 0.001; OB: 6.33 vs 7.52 p < 0.001). K_ITT and SEARCH SCORE improved only in the OB group (2.15 vs 3.14, p < 0.001 and 5.26 vs 5.72, p = 0.007, respectively). Furthermore, HbA1c and BMI were significantly greater in the OB group (- 0.62%, p < 0.001; - 1.12 kg/m², p = 0.031, respectively). Regression analysis revealed that the serum levels of triglycerides and uric acid were significantly (0.059, p = 0.013; 0.076, p = 0.001) associated with insulin sensitivity indices.</p><p><strong>Conclusions: </strong>The study showed that eGDR improved independently of basal weight after metformin treatment. However, the K_ITT and SEARCH indices improved only in the obese group. Triglycerides and uric acid are associated with insulin sensitivity indices. These results highlight the heterogeneity of the mechanisms underlying insulin resistance and its response to metformin in individuals with T1D.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11367792/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142105229","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":"Correction: Exploring genetic association of systemic iron status and risk with incidence of diabetic neuropathy.","authors":"Xinyue Yu, Tianyu Jin, Luyi Zhu, Shunyuan Guo, Binbin Deng, Yifan Cheng","doi":"10.1186/s13098-024-01453-2","DOIUrl":"10.1186/s13098-024-01453-2","url":null,"abstract":"","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11367935/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142105163","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":"Additive impact of diabetes and Helicobacter pylori infection on all-cause mortality, diabetic mortality, and cardiovascular mortality: a longitudinal nationwide population-based study.","authors":"Di Zeng, Qingyue Zeng, Shaofeng Wang, Shuangqing Li","doi":"10.1186/s13098-024-01437-2","DOIUrl":"10.1186/s13098-024-01437-2","url":null,"abstract":"<p><strong>Background: </strong>Diabetes mellitus (DM) and Helicobacter pylori infection (HPI) pose increasing public health challenges in aging societies, sharing common pathophysiological mechanisms, and linked to significant health risks. Our study examines their respective impacts on all-cause and cardiovascular mortalities in a comprehensive longitudinal population-based analysis.</p><p><strong>Methods: </strong>The study analyzed data from the National Health and Nutrition Examination Survey (NHANES) database conducted between 1999 and 2019, which included information on Diabetes mellitus status and Helicobacter pylori infection status. Mortality data were obtained from the same database mentioned above.</p><p><strong>Results: </strong>Among the 2719 participants, 1362 (50.1%) were free of both diabetes mellitus (DM) and Helicobacter pylori infection (HP) (DM -/HP -), 140 (5.1%) had DM alone (DM +/HP -), 1011 (37.2%) had HP alone (DM -/HP +), and 206 (7.6%) had both DM and HP (DM +/HP +). Compared to the DM -/HP - group, the DM +/HP - and DM + /HP + groups demonstrated increased all-cause mortality with adjusted hazard ratios (HRs) of 1.40 (95% [CI] 1.07-1.78) and 1.46 (95% CI 1.15-1.84), respectively. For diabetic mortality, DM +/HP- group and DM + /HP + group showed increased HR of 6.30 (95% CI 1.30-30.43) and 8.56 (95% CI 1.98-36.94), respectively. For cardiovascular mortality, the DM + /HP- group and DM + /HP + group exhibited increased HR of 1.75 (95% CI 1.14-2.69) and 1.98 (95% CI 1.40-2.79), respectively. The DM + /HP + cohort displayed the highest risk of overall mortality (p for trend = 0.003), diabetic mortality (p for trend < 0.0001), an6d cardiovascular mortality (p for trend < 0.0001).</p><p><strong>Conclusions: </strong>The concurrent presence of DM and Helicobacter pylori infection significantly amplifies the risk of all-cause, cardiovascular, and diabetic mortality. Individuals with either condition may necessitate heightened management to prevent the onset of the other ailment and reduce mortality rates.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11363551/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142105161","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 relationships between GLP1 receptor agonists, blood lipids, and heart failure: a drug-target mendelian randomization and mediation analysis.","authors":"Tianshi Mao, Jie Chen, Tong Su, Long Xie, Xinyan Qu, Ruli Feng, Yi Pan, Jie Wan, Xiaoyun Cui, Wenhao Jia, Qun Gao, Qian Lin","doi":"10.1186/s13098-024-01448-z","DOIUrl":"10.1186/s13098-024-01448-z","url":null,"abstract":"<p><strong>Background: </strong>Glucagon-like peptide-1 receptor (GLP1R) agonists have been shown to reduce major cardiovascular events in diabetic patients, but their role in heart failure (HF) remains controversial. Recent evidence implies their potential benefits on cardiometabolism such as lipid metabolism, which may contribute to lowering the risk of HF. Consequently, we designed a Mendelian randomization (MR) study to investigate the causal relationships of circulating lipids mediating GLP1R agonists in HF.</p><p><strong>Methods: </strong>The available cis-eQTLs for GLP1R target gene were selected as instrumental variables (IVs) of GLP1R agonism. Positive control analyses of type 2 diabetes mellitus (T2DM) and body mass index (BMI) were conducted to validate the enrolled IVs. Two-sample MR was performed to evaluate the associations between GLP1R agonism and HF as well as left ventricular ejection fraction (LVEF). Summary data for HF and LVEF were obtained from two genome-wide association studies (GWASs), which included 977,323 and 40,000 individuals of European ancestry, respectively. The primary method employed was the random-effects inverse variance weighted, with several other methods used for sensitivity analyses, including MR-Egger, MR PRESSO, and weighted median. Additionally, multivariable MR and mediation MR were applied to identify potentially causal lipid as mediator.</p><p><strong>Results: </strong>A total of 18 independent IVs were included. The positive control analyses showed that GLP1R agonism significantly reduced the risk of T2DM (OR = 0.79, 95% CI = 0.75-0.85, p < 0.0001) and decreased BMI (OR = 0.95, 95% CI = 0.93-0.96, p < 0.0001), ensuring the effectiveness of selected IVs. We found favorable evidence to support the protective effect of GLP1R agonism on HF (OR = 0.75, 95% CI = 0.71-0.79, p < 0.0001), but there was no obvious correlation with increased LVEF (OR = 1.01, 95% CI = 0.95-1.06, p = 0.8332). Among the six blood lipids, only low-density lipoprotein cholesterol (LDL-C) was both associated with GLP1R agonism and HF. The causal effect of GLP1R agonism on HF was partially mediated through LDL-C by 4.23% of the total effect (95% CI = 1.04-7.42%, p = 0.0093).</p><p><strong>Conclusions: </strong>This study supported the causal relationships of GLP1R agonists with a reduced risk of HF. LDL-C might be the mediator in this association, highlighting the cardiometabolic benefit of GLP1R agonists on HF.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11360323/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142092519","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":"Effect of a carbohydrate-restricted diet on weight loss in overweight and obese pediatric population: a meta-analysis of randomized controlled trials.","authors":"Pejman Rohani, Zahra Rasoulizadeh, Sogand Tavakoli, Hosein Alimadadi, Koroush Vahidshahi, Somaye Fatahi, Mohammad Hassan Sohouli, Nathalia Sernizon Guimarães","doi":"10.1186/s13098-024-01458-x","DOIUrl":"10.1186/s13098-024-01458-x","url":null,"abstract":"<p><strong>Background: </strong>There are conflicting findings regarding the effect of low-carbohydrate diets on obesity-related factors. This study aimed to investigate the effect of a carbohydrate-restricted (CR) diet on changes in anthropometric indicators of adiposity and fat distribution in pediatrics populations.</p><p><strong>Methods: </strong>A systematic search was conducted in PubMed/MEDLINE, Web of Science, Scopus, and Embase electronic databases using predefined keywords to identify all randomized controlled trials examining the effects of CR on obesity-related factors. The pooled weighted mean difference (WMD) and 95% confidence intervals (CI) were calculated using a random-effects model.</p><p><strong>Results: </strong>Findings from 11 studies demonstrated significant reductions in weight (WMD: -2.31 kg; 95% CI: -4.44, -0.18), BMI (WMD:-1.08 kg/m²; 95% CI: -1.91, -0.26), and fat mass (WMD: -1.43%; 95% CI: -2.43 to -0.43) as well as a significant increase in adiponectin levels (WMD: 0.74 ng/ml; 95% CI: 0.02, 1.47) in the CR diet group compared to the control group. However, no significant effect was observed on BMI z-score (WMD:-0.10; 95% CI: -0.21, 0.01), waist circumference (WMD:-3.03 cm; 95% CI: -6.57, 0.51) or leptin levels (WMD: -0.82 ng/ml; 95% CI: -2.26, 0.61). Stratified analysis rrevealed a greater effect of CR on weight and BMI reduction in interventions ≤ 12 weeks and in very low-carbohydrate diets.</p><p><strong>Conclusions: </strong>In conclusion, it appears that CR diet, along with other lifestyle factors, can lead to significant improvements in weight loss on pediatrics with obesity/overweight.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11360302/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142105228","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":"C-peptide: an essential ally in microvascular complications of type 2 diabetes mellitus and obesity.","authors":"Regina Esze, Sándor Barna, Péter Fülöp, Péter Kempler, Márton Mikó, Dénes Páll, György Paragh, Sándor Somodi, Miklós Emri, Zita Képes, Ildikó Garai, Miklós Káplár","doi":"10.1186/s13098-024-01454-1","DOIUrl":"10.1186/s13098-024-01454-1","url":null,"abstract":"<p><strong>Background: </strong>In order to investigate microvascular complications in metabolic diseases, we aimed to investigate cerebral and peripheral microcirculation in relation to peripheral neuropathy and laboratory biomarkers in type 2 diabetes mellitus (T2DM) and obesity.</p><p><strong>Methods: </strong>Based on the degree of neuropathy (NP), study participants (40 T2DM and 30 obese individuals) were classified into no-NP, mild-NP and severe-NP subgroups. After the injection of Technetium-99 m hexamethylpropylene amine oxime, both T2DM and obese participants underwent single-photon emission computed tomography/computed tomography ([99mTc]Tc-HMPAO SPECT/CT) and SPECT-only examinations to assess lower limb and brain perfusion; respectively. Peripheral nerve function was evaluated with a neurometer and glycaemic markers were measured from plasma in both groups.</p><p><strong>Results: </strong>Compared to the obese individuals, lower extremity perfusion was significantly reduced in the diabetic subjects (p < 0.005), while it showed a positive correlation with C-peptide levels and negative association with HbA1c values. A U-shape pattern of peripheral microcirculation was observed between the NP groups, indicating a surprisingly better perfusion in the severe-NP group than in the mild one, with the highest levels in obese patients. Since changes in the C-peptide levels exhibited a similar U-shaped trend across the NP subgroups, we suggest a positive correlation between C-peptide levels and the extent of peripheral perfusion. Although, C-peptide values and cerebral microcirculation correlated positively (rho = 0.27), brain perfusion did not show any differences neither between the diabetic and the obese patients, nor between the NP subgroups (at p < 0.05).</p><p><strong>Conclusions: </strong>Establishing the link between neuropathy and peripheral microcirculation, C-peptide seems to be a promising biomarker for the prediction of microvascular alterations in metabolic diseases. Of note, the dominance of metabolic factors over microvascular damage in the development of obesity-related neuropathy should be emphasized as well.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11361105/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142105164","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":"Advancing healthcare with artificial intelligence: diagnostic accuracy of machine learning algorithm in diagnosis of diabetic retinopathy in the Brazilian population.","authors":"Mateus A Dos Reis, Cristiano A Künas, Thiago da Silva Araújo, Josiane Schneiders, Pietro B de Azevedo, Luis F Nakayama, Dimitris R V Rados, Roberto N Umpierre, Otávio Berwanger, Daniel Lavinsky, Fernando K Malerbi, Philippe O A Navaux, Beatriz D Schaan","doi":"10.1186/s13098-024-01447-0","DOIUrl":"10.1186/s13098-024-01447-0","url":null,"abstract":"<p><strong>Background: </strong>In healthcare systems in general, access to diabetic retinopathy (DR) screening is limited. Artificial intelligence has the potential to increase care delivery. Therefore, we trained and evaluated the diagnostic accuracy of a machine learning algorithm for automated detection of DR.</p><p><strong>Methods: </strong>We included color fundus photographs from individuals from 4 databases (primary and specialized care settings), excluding uninterpretable images. The datasets consist of images from Brazilian patients, which differs from previous work. This modification allows for a more tailored application of the model to Brazilian patients, ensuring that the nuances and characteristics of this specific population are adequately captured. The sample was fractionated in training (70%) and testing (30%) samples. A convolutional neural network was trained for image classification. The reference test was the combined decision from three ophthalmologists. The sensitivity, specificity, and area under the ROC curve of the algorithm for detecting referable DR (moderate non-proliferative DR; severe non-proliferative DR; proliferative DR and/or clinically significant macular edema) were estimated.</p><p><strong>Results: </strong>A total of 15,816 images (4590 patients) were included. The overall prevalence of any degree of DR was 26.5%. Compared with human evaluators (manual method of diagnosing DR performed by an ophthalmologist), the deep learning algorithm achieved an area under the ROC curve of 0.98 (95% CI 0.97-0.98), with a specificity of 94.6% (95% CI 93.8-95.3) and a sensitivity of 93.5% (95% CI 92.2-94.9) at the point of greatest efficiency to detect referable DR.</p><p><strong>Conclusions: </strong>A large database showed that this deep learning algorithm was accurate in detecting referable DR. This finding aids to universal healthcare systems like Brazil, optimizing screening processes and can serve as a tool for improving DR screening, making it more agile and expanding care access.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11360296/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142105162","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":"Effect of SGLT-2 inhibitors on acute kidney injury in patients with heart failure: a systematic review and meta-analysis.","authors":"Xianghong Wang, Meihong He, Donghua Jin, Chuanchuan Sun, Hongyun Lu","doi":"10.1186/s13098-024-01446-1","DOIUrl":"10.1186/s13098-024-01446-1","url":null,"abstract":"<p><strong>Background: </strong>Sodium glucose cotransporter-2 (SGLT-2) inhibitors are known to reduce hospitalization and cardiovascular mortality in various heart failure (HF) populations, potentially through enhanced excretion of water and sodium. However, there are concerns regarding the risk of acute kidney injury (AKI) associated with their use. This meta-analysis aimed to unravel the effects of SGLT-2 inhibitors on risk of AKI in a variety of patients with HF.</p><p><strong>Methods: </strong>This study conducted a comprehensive literature search using PubMed, EMBASE, Cochrane Library, and clinicaltrials.gov for studies published up to January 1, 2024. Data were analyzed using both random-effects or fixed-effects models to estimate the overall relative risk (RR) with a 95% confidence interval (CI).</p><p><strong>Results: </strong>Our analysis included 25,172 patients with HF from 16 randomized controlled trials. Treatment with SGLT-2 inhibitors led to a 28% reduction in the risk of AKI progression compared to placebo (RR 0.72, 95% CI 0.61-0.85, p<0.0001), without an increased risk of hypotension (RR 1.21, 95% CI 0.87-1.70, p = 0.26) and hypovolemia (RR 2.26, 95% CI: 0.70-7.33, p = 0.17). Notably, SGLT-2 inhibitors significantly decreased AKI in specific subgroups, including patients with HF with reduced ejection fraction (RR 0.59, 95% CI 0.43-0.80, p = 0.0007), those treated with empagliflozin (RR 0.70, 95% CI 0.57-0.88, p = 0.002) or dapagliflozin (RR 0.74, 95% CI 0.57-0.98, p = 0.04), in studies with a follow-up of at least 1 year (RR 0.67, 95% CI 0.55-0.82, p = 0.0001), and in patients aged 65 years or older (RR 0.72, 95% CI 0.61-0.85, p < 0.0001).</p><p><strong>Conclusion: </strong>Use of SGLT-2 inhibitors did not increase the incidence of AKI regardless of the ejection fraction environment (chronic and acute), type of SGLT-2 inhibitors, or patient age.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11348759/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142079586","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":"Investigating CR1 as an indicated Gene for mild cognitive impairment in type 2 diabetes mellitus.","authors":"Xueling Zhou, Shaohua Wang, Dandan Yu, Tong Niu","doi":"10.1186/s13098-024-01449-y","DOIUrl":"10.1186/s13098-024-01449-y","url":null,"abstract":"<p><strong>Objective: </strong>Type 2 diabetes mellitus (T2DM) has beenis known as an important risk factor for cognitive impairment. Meanwhile, the liver plays a central role in the development of T2DM and insulin resistance. The present study attempted to identify and validate marker genes for mild cognitive impairment (MCI) in patients with T2DM.</p><p><strong>Methods: </strong>In this study, insulin resistance-related differentially expressed genes were identified from the liver tissues of individuals with T2DM and those with normal glucose tolerance using the Gene Expression Omnibus database and MCI-associated genes were identified using the GeneCards database. Next, enrichment analysis was performed with overlapping T2DM and MCI genes, followed by the identification of specific genes using the LASSO logistic regression and SVM-RFE algorithms. An important experiment involved the implementation of clinical and in vitro validation using real-time quantitative polymerase chain reaction (RT-qPCR). Finally, multiple linear regression, binary logistic regression, and receiver operating characteristic curve analyses were performed to investigate the relationship between the key gene and cognitive function in these patients.</p><p><strong>Result: </strong>The present study identified 40 overlapping genes between MCI and T2DM, with subsequent enrichment analysis revealing their significant association with the roles of neuronal and glial projections. The marker gene complement receptor 1(CR1) was identified for both diseases using two regression algorithms. Based on RT-qPCR validation in 65 T2DM patients with MCI (MCI group) and 65 T2DM patients without MCI (NC group), a significant upregulation of CR1 mRNA in peripheral blood mononuclear cells was observed in the MCI group (P < 0.001). Furthermore, the CR1 gene level was significantly negatively associated with MoCA and MMSE scores, which reflect the overall cognitive function, and positively correlated with TMTB scores, which indicate the executive function. Finally, elevated CR1 mRNA levels were identified as an independent risk factor for MCI (OR = 1.481, P < 0.001).</p><p><strong>Conclusion: </strong>These findings suggest that CR1 is an important predictor of MCI in patients with T2DM. Thus, CR1 has potential clinical significance, which may offer new ideas and directions for the management and treatment of T2DM. The identification and clinical validation of dysregulated marker genes in both T2DM and MCI can offer valuable insights into the intrinsic association between these two conditions. The current study insights may inspire the development of novel strategies for addressing the complicated issues related to cognitive impairment associated with diabetes.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11344402/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142055210","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}