Ge-Yao Qi, Fei Wang, Yuan-Bo Shi, Juan Feng, Jin Xu
{"title":"Analysis of postprandial time trends and influencing factors of blood glucose and insulin in type 2 diabetes mellitus (T2DM) with metabolic dysfunction-associated steatotic liver disease (MASLD): a retrospective study based on propensity score matching (PSM).","authors":"Ge-Yao Qi, Fei Wang, Yuan-Bo Shi, Juan Feng, Jin Xu","doi":"10.1007/s00592-025-02503-5","DOIUrl":"https://doi.org/10.1007/s00592-025-02503-5","url":null,"abstract":"<p><strong>Background: </strong>Metabolic dysfunction-associated steatotic liver disease (MASLD) and type 2 diabetes mellitus (T2DM) are increasingly prevalent metabolic disorders worldwide, with a complex bidirectional relationship between them. Currently, there is a lack of research on the trajectories of blood glucose and insulin concentration over time after eating in patients with MASLD and T2DM.</p><p><strong>Methods: </strong>This clinical cohort included diagnosed T2DM patients in a large hospital over the past five years, was divided into an observation group (with MASLD) and a control group (without MASLD). The postprandial time trends of blood glucose and insulin concentration were analysed within two hours after eating. A strategy of backward iterative feature elimination combined with propensity score matching (PSM) was employed to screen for potential associated factors that might influence these trends.</p><p><strong>Results: </strong>In total, there were 521 in the observation group and 373 in the control group. In terms of blood glucose, the postprandial time-concentration trajectories for both groups shown a significant time main effect (F = 1145.567, P < 0.001), a significant group main effect (F = 15.340, P < 0.001), and a significant time*group interaction effect (F = 2.873, P = 0.035); After matching all the factors, the time*group interaction effect of blood glucose was not significant, but the differences from group main effect still existed. In terms of insulin, the postprandial time-concentration trajectories for both groups shown a significant time main effect (F = 309.429, P < 0.001), a significant group main effect (F = 6.319, P < 0.012), and a significant time*group interaction effect (F = 20.057, P < 0.001), but the trajectories crossed; After matching 4 factors such as Smoking, Essential Hypertension (EH), Body Mass Index (BMI), Triglyceride (TG) and Ca<sup>2+</sup>, neither the group main effect nor the time*group interaction effect on insulin was significant any more.</p><p><strong>Conclusion: </strong>The postprandial trends of blood glucose and insulin concentration over time shown significant differences between T2DM patients with and without MASLD. IL-6 might be associated with the insulin resistance, while EH and Ca<sup>2+</sup> might be related to the islet β-cell function. Smoking and TG might participate in both of the above processes. The strategy of backward iterative with PSM had demonstrated a relatively satisfactory effect in feature screening.</p>","PeriodicalId":6921,"journal":{"name":"Acta Diabetologica","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143750042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"FTZ alleviates lipid deposition in diabetic kidney disease by AMPK/ACC/SREBP signaling pathway.","authors":"Jie Tao, Xiao-Yu Zhang, Hai-Bo Tan, Min-Yi Huang, Yi-Qi Yang, Jiao Guo","doi":"10.1007/s00592-025-02492-5","DOIUrl":"https://doi.org/10.1007/s00592-025-02492-5","url":null,"abstract":"<p><p>Fufang Zhenzhu Tiaozhi capsule (FTZ) is a patented traditional Chinese medicine preparation that has been used clinically for nearly 10 years to treat hyperglycemia, hyperlipidemia, and other glucolipid metabolic diseases. Previous studies have shown that FTZ can improve diabetic kidney disease (DKD). However, the role and mechanism of FTZ in reducing renal lipid accumulation in DKD remain unclear. Phosphorylation of Adenosine 5'-Monophosphate-Activated Protein Kinase (AMPK), a key regulator of energy homeostasis, inhibits Acetyl-CoA Carboxylase (ACC) signaling, thereby reducing fatty acid synthesis and promoting fatty acid oxidation via carnitine palmitoyltransferase-1 (CPT-1). Sterol regulatory element-binding protein 1 (SREBP-1), a transcription factor, regulates lipid metabolism through fatty acid synthesis. This study investigated the anti-lipid accumulation effect and mechanism of FTZ in vitro and in vivo. Streptozotocin (40 mg/kg/d, i.p. for 5 days, consecutively) combined with a high-fat diet (HFD) were used to induce a DKD model in C57BL/6J mice, followed by FTZ (1, 2 g/kg/d, i.g.) or Losartan (30 mg/kg/d, i.g.) treatments for 12 weeks. High glucose (HG, 30 mM) combined with palmitic-acid (PA, 250 µM) were used to induce HK-2 cells injury, followed by FTZ (25, 50, or 100 µg/ml) or Compound C (an AMPK inhibitor, 10 µM) treatments for 24 h. Results showed that FTZ reduced blood lipids and improved renal function in DKD mice. In addition, compared with the control group, DKD mice and cells exhibited significantly increased lipid deposition. However, the effect of FTZ in alleviating lipid accumulation was reversed by Compound C. Furthermore, FTZ increased p-AMPK, p-ACC and CPT-1 protein expression while decreasing SREBP-1. These results indicate that FTZ effectively protects against lipid accumulation in DKD by regulating the AMPK/ACC/SREBP pathway, inhibiting de novo lipogenesis, providing a novel therapeutic strategy for DKD.</p>","PeriodicalId":6921,"journal":{"name":"Acta Diabetologica","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143750347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chiara M Soldavini, Gabriele Piuri, Paola A Corsetto, Irma Colombo, Veronica Resi, Stefania Zava, Gabriele Rossi, Enrico Ferrazzi, Angela M Rizzo
{"title":"Gestational diabetes severity stratification during pregnancy: role of plasma oleic acid as a possible early marker.","authors":"Chiara M Soldavini, Gabriele Piuri, Paola A Corsetto, Irma Colombo, Veronica Resi, Stefania Zava, Gabriele Rossi, Enrico Ferrazzi, Angela M Rizzo","doi":"10.1007/s00592-025-02487-2","DOIUrl":"https://doi.org/10.1007/s00592-025-02487-2","url":null,"abstract":"<p><p>Normal pregnancy is characterized by changes in lipid metabolism with significant implications for the health of both mother and offspring. When these changes develop into maternal dyslipidemia, a significant association with adverse pregnancy outcomes has been observed, including the development of gestational diabetes (GD), modulation of the inflammatory response, and excessive fetal growth. In the present study, we performed a lipidomic assessment of patients at GD diagnosis (24-28 weeks of gestation) and 12 weeks after diagnosis. We found higher levels of esterified oleic acid in plasma at the time of GD diagnosis in women who subsequently required pharmacological therapy to control blood glucose levels compared to those who did not require additional treatment, suggesting that the measurement of plasma oleic acid might be an additional tool for the early identification of patients with a more severe form of gestational diabetes. Moreover, plasma oleic acid levels showed a positive correlation with fetal growth in the context of adequate glycemic control, supporting a metabolic dysregulation of other pathways whose identification could help clinicians to discriminate different cases within the spectrum of severity of the disease. Finally, the correlation between plasma oleic acid and circulating BAFF levels at the time of diagnosis and 12 weeks later adds a possible mechanism to support the pro-inflammatory and pro-diabetic state in the metabolic set of GD. Overall, these findings strongly support the role of plasma oleic acid as a possible early marker for GD severity stratification during pregnancy.</p>","PeriodicalId":6921,"journal":{"name":"Acta Diabetologica","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143750471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Identification of FLVCR1 as the iron metabolism-related gene of statin-associated diabetes.","authors":"YiJia Huang, Kai Chen, Xiao Xiao, Shilong Zhong","doi":"10.1007/s00592-025-02491-6","DOIUrl":"https://doi.org/10.1007/s00592-025-02491-6","url":null,"abstract":"<p><strong>Aims: </strong>Long-term statin use has been linked to increased diabetes risk. Iron metabolism disruption may explain this association. The objective of this study was to identify the co-expression gene modules and the iron metabolism-related gene (IMG) linking statin administration and diabetes, making the hunt for novel therapeutic targets necessary.</p><p><strong>Methods: </strong>Weighted gene co-expression network analysis (WGCNA) was applied to the GSE130991 dataset to detect co-expressed gene modules. Enrichment analysis and single sample gene set enrichment analysis (ssGSEA) were conducted to characterize the biological processes and iron metabolism differences, respectively. Candidate IMGs were identified by intersecting WGCNA hub genes, differentially expressed genes (DEGs) from the statin-using and non-using obese individuals within the GSE130991 liver tissue dataset, and IMGs from Molecular Signatures Database Molecular Signatures Database (MisgDB). Mediation analysis was utilized to identify the definitive IMG. Expression validation was conducted through reverse transcription quantitative PCR (RT-qPCR) experiments and cross-referencing with additional datasets.</p><p><strong>Results: </strong>A shared gene module was identified between statin-users and diabetes patients, with functional enrichment analysis indicating involvement in iron ion binding. ssGSEA revealed differentially expressed iron metabolism in both statin-users and diabetes patients. Five IMG genes (CYP51A1, SC5D, MSMO1, SCD, and FLVCR1) were shortlisted, with FLVCR1 emerging as the key intermediary biomarker. FLVCR1 was positively correlated with insulin resistance and demonstrated robust predictive capabilities for diabetes. An increase in FLVCR1 mRNA levels was observed following statin treatment, as confirmed by RT-qPCR experiments and the GSE24188 dataset. Elevated FLVCR1 mRNA was also noted in diabetes patients across datasets GSE130991, GSE23343, and GSE95849.</p><p><strong>Conclusion: </strong>In this study, bioinformatics evidence supporting the association between statin use and diabetes was presented. FLVCR1 was identified as the iron metabolism-related mediator gene implicated in this relationship. Overall, our findings provide a theoretical foundation for new directions for future research exploring the complex interplay between statin treatment, iron metabolism regulation, and diabetes pathogenesis.</p>","PeriodicalId":6921,"journal":{"name":"Acta Diabetologica","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143717661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Azharuddin Sajid Syed Khaja, Naif K Binsaleh, Husam Qanash, Hamad Alshetaiwi, Ibrahim Abdelmageed Mohamed Ginawi, Mohd Saleem
{"title":"Dysregulation and therapeutic prospects of regulatory T cells in type 1 diabetes.","authors":"Azharuddin Sajid Syed Khaja, Naif K Binsaleh, Husam Qanash, Hamad Alshetaiwi, Ibrahim Abdelmageed Mohamed Ginawi, Mohd Saleem","doi":"10.1007/s00592-025-02478-3","DOIUrl":"https://doi.org/10.1007/s00592-025-02478-3","url":null,"abstract":"<p><p>Type 1 diabetes (T1D) is an autoimmune disease that selectively destroys β-cells in the pancreas that produce insulin. Several studies have implicated and elaborated the significant role of regulatory T cells (Tregs) in the pathogenesis of T1D. Tregs are a specialized subset of T cells and are critical regulators of peripheral self-tolerance. However, if the number, function, or stability of these cells is altered, it can lead to autoimmunity. This review summarizes the current knowledge and understanding about Treg function in both health and T1D, Tregs dysregulation, and various factors, including microRNAs, that affect their dysregulation in T1D. The review also focuses on the advantages and challenges of Treg-based therapies for T1D.</p>","PeriodicalId":6921,"journal":{"name":"Acta Diabetologica","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143673142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimized ensemble model for accurate prediction of cardiac vascular calcification in diabetic patients.","authors":"M Suresh, M Maragatharajan","doi":"10.1007/s00592-025-02485-4","DOIUrl":"https://doi.org/10.1007/s00592-025-02485-4","url":null,"abstract":"<p><strong>Aim: </strong>Cardiovascular diseases (CVD) are a major threat to diabetic patients, with cardiac vascular calcification (CVC) as a key predictive factor. This study seeks to improve the prediction of these calcifications using advanced machine learning (ML) algorithms. However, current ML and Artificial Intelligence (AI) methods face challenges such as limited sample sizes, insufficient data, high time complexity, long processing times, and significant implementation costs.</p><p><strong>Method: </strong>To predict CVC in diabetic patients, the Simple linear iterative clustering based Ensemble Artificial Neural Network (SLIC-EANN) model is proposed in this paper. In this research article, certain biochemical, imaging, and clinical data are used that are captured from Coronary computed tomography angiography (CCTA) dataset. The proposed model employs preprocessing techniques such as image normalization, image resizing, and image augmentation to clean and simplify the input images. Then Localization of the cardiac vascular calcification is done using the simple linear iterative clustering (SLIC) algorithm. The ensemble artificial neural network (EANN) classifies calcification severity by integrating outputs from three machine learning techniques Support Vector Machine (SVM), Gradient Boosting (GB), and Decision Tree (DT).</p><p><strong>Results: </strong>This method achieves an accuracy of 98.7% and an error rate of 1.3%, outperforming existing techniques.</p><p><strong>Conclusion: </strong>A comprehensive analysis is conducted in this research article that concludes that the proposed model achieved better prediction performances of calcification in diabetic patients.</p>","PeriodicalId":6921,"journal":{"name":"Acta Diabetologica","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143668623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Giovanni Petralli, Alice Del Zoppo, Chiara Rovera, Francesco Raggi, Antonio Salvati, Diego Moriconi, Mariarosaria Distaso, Maurizia Rossana Brunetto, Anna Solini
{"title":"Correction: Different formulations of semaglutide and oxidative stress in subjects with type 2 diabetes and MASLD: an open-label, real-life study.","authors":"Giovanni Petralli, Alice Del Zoppo, Chiara Rovera, Francesco Raggi, Antonio Salvati, Diego Moriconi, Mariarosaria Distaso, Maurizia Rossana Brunetto, Anna Solini","doi":"10.1007/s00592-025-02482-7","DOIUrl":"https://doi.org/10.1007/s00592-025-02482-7","url":null,"abstract":"","PeriodicalId":6921,"journal":{"name":"Acta Diabetologica","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143661920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Stress hyperglycemia ratio and 30-day mortality among critically ill patients with acute heart failure: analysis of the MIMIC-IV database.","authors":"Xiaodong You, Hengzhi Zhang, Tianshi Li, Yi Zhu, Zhongman Zhang, Xufeng Chen, Peipei Huang","doi":"10.1007/s00592-025-02486-3","DOIUrl":"https://doi.org/10.1007/s00592-025-02486-3","url":null,"abstract":"<p><strong>Background: </strong>The association between the stress hyperglycemia ratio (SHR) and short-term prognosis of acute heart failure (AHF), particularly among those admitted to the intensive care unit (ICU), has not been elucidated. This study aimed to investigate the association between the SHR and adverse outcomes among critically ill patients with AHF and provide a reference for glycemic management range in these patients.</p><p><strong>Methods: </strong>We extracted the clinical data of patients from the MIMIC-IV (v3.0) database. The association between the SHR and short-term prognosis was analyzed using the Kaplan‒Meier survival curve, Cox regression, and subgroup analysis. Important features were identified utilizing machine learning methods. Furthermore, the association between the dynamic SHR level and mortality was explored using restricted cubic splines and Cox regression.</p><p><strong>Results: </strong>A total of 994 patients were included. Patients with the highest SHR (Quartile 4) had a higher risk of 30-day mortality (HR = 2.14; 95% CI = 1.32-3.45; P = 0.002) and in-hospital mortality (HR = 2.22; 95% CI = 1.27-3.88; P = 0.005) than those in Quartile 2 (as reference). The results of machine learning methods revealed the SHR was an important predictor for 30-day mortality of patients with critical AHF. Restricted cubic splines indicated a J-shaped association between the dynamic SHR level and mortality, and the cut-off values were 0.84 and 1.07.</p><p><strong>Conclusion: </strong>The SHR was significantly associated with 30-day mortality and in-hospital mortality among patients with critical AHF. The SHR may be a useful indicator for the glycemic management of patients with AHF in the ICU.</p>","PeriodicalId":6921,"journal":{"name":"Acta Diabetologica","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143633277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wei-Zhen Tang, Zhe-Ming Kang, Yi-Fan Zhao, Qin-Yu Cai, Beng-Ning Deng, Zhi-Jian Zhou, Wen-Xin Deng, Wei-Ze Xu, Tai-Hang Liu, Lan Wang
{"title":"Perinatal adverse outcomes in twin pregnancies with preeclampsia complicated by distinct gestational diabetes subtypes.","authors":"Wei-Zhen Tang, Zhe-Ming Kang, Yi-Fan Zhao, Qin-Yu Cai, Beng-Ning Deng, Zhi-Jian Zhou, Wen-Xin Deng, Wei-Ze Xu, Tai-Hang Liu, Lan Wang","doi":"10.1007/s00592-025-02444-z","DOIUrl":"https://doi.org/10.1007/s00592-025-02444-z","url":null,"abstract":"<p><strong>Background: </strong>The impact of gestational diabetes mellitus (GDM) complicated with preeclampsia (PE) on perinatal outcomes in twin pregnancies, particularly across different GDM subtypes, remains unclear.</p><p><strong>Methods: </strong>This case-control study included 1,263 twin pregnancies with GDM and categorized participants as follows: (i) GDM without PE and GDM with PE groups, and (ii) GDM subgroups based on oral glucose tolerance test (OGTT) values at different time points, including GDM-IFH, GDM-IPH, and GDM-CH. Initially, the study investigated risk factors for PE occurrence in women with GDM. Subsequently, univariate and multivariate logistic regression analyses were conducted to explore the impact of GDM with PE on perinatal outcomes in twin pregnancies compared to GDM without PE. Stratified analyses and interaction effects were also examined to assess the risk of adverse perinatal outcomes in GDM twin pregnancies with various maternal characteristics combined with PE. Additionally, the study assessed the influence of aspirin on the GDM with PE group. Based on OGTT values, the study further investigated their impact on perinatal outcomes in the GDM with PE group and examined the influence of different GDM subtypes on perinatal outcomes in twin pregnancies with GDM and PE.</p><p><strong>Results: </strong>Baseline characteristics of twin pregnancies with GDM indicated that pre-pregnancy BMI (PBMI) (p < 0.001), weight gain during pregnancy (p < 0.001), nulliparity (p = 0.029), and the use of IVF (p = 0.023) may be risk factors for the occurrence of PE in GDM. Additionally, GDM with PE increased the risk of Intrahepatic Cholestasis of Pregnancy (ICP) (OR 2.00), hypoproteinemia during pregnancy (OR 4.18), anemia during pregnancy (OR 2.34), and MICU admission (OR 5.43) compared to GDM without PE. Regarding neonatal outcomes, the GDM with PE group had significantly higher risks of neonatal hyperbilirubinemia (OR 1.97), preterm labor (OR 1.58), and NICU admission (OR 2.32). In the GDM with PE group, aspirin significantly reduced the risk of preterm labor. Further research indicated that glucose values significantly affected the occurrence of ICP, hypoproteinemia during pregnancy, and anemia during pregnancy in the GDM with PE group. Subgroup analysis based on OGTT glucose values classified GDM subtypes showed that different GDM subtypes are closely related to the risk of hypoproteinemia during pregnancy, neonatal hyperbilirubinemia, and preterm labor in both GDM without PE group and GDM with PE groups. Particularly in GDM-IPH and GDM-CH subtypes, PE combined with GDM significantly increased the risks associated with ICP, hypoproteinemia during pregnancy, and MICU admission. Moreover, GDM-IPH combined with PE significantly increased the risks of anemia during pregnancy, NICU admission, and neonatal hyperbilirubinemia, while GDM-CH combined with PE also significantly increased the risk of preterm birth.</p><p><strong>Conclusion: ","PeriodicalId":6921,"journal":{"name":"Acta Diabetologica","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143633343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anjana J Menon, Monisha Selva, G Sandhya, Sadhana Singh, M L Abhishek, Albert Stezin, Jonas S Sundarakumar, Latha Diwakar, Thomas Gregor Issac
{"title":"Understanding the link between insulin resistance and cognition: a cross-sectional study conducted in an urban, South Indian cohort.","authors":"Anjana J Menon, Monisha Selva, G Sandhya, Sadhana Singh, M L Abhishek, Albert Stezin, Jonas S Sundarakumar, Latha Diwakar, Thomas Gregor Issac","doi":"10.1007/s00592-025-02483-6","DOIUrl":"https://doi.org/10.1007/s00592-025-02483-6","url":null,"abstract":"<p><strong>Background: </strong>Recent research suggests that metabolic dysregulation caused by insulin resistance (IR) can have a negative impact on cognition. Therefore, the objective of this study is to explore the role of IR as an independent metabolic risk for decreased cognitive performance.</p><p><strong>Methods: </strong>The study included 1072 non-demented participants aged 45 years and above were recruited from Tata Longitudinal Study of Aging (TLSA). Fasting insulin and blood glucose levels were collected during the baseline visit. HOMA-IR formula was used to calculate IR. Cognition was assessed using the COGNITO neuropsychological test battery. Generalized Linear Regression Model (GLM) was performed to find the relationship between IR category and COGNITO battery. The brain imaging was conducted using a 3 Tesla MRI system. The cortical volumes were acquired using Freesurfer software (v7.2.0) (Salgado et al. Arq Gastroenterol 47(2):165-169, 2010). Further, GLM analysis was performed for MRI variables.</p><p><strong>Results: </strong>The estimated general prevalence of IR in our study is 56.3%. Model 1 suggested that IR is associated with reduced auditory attention (p = 0.014), and word comprehension (p = 0.043) tasks. Model 2 and 4 showed that there is an association with IR and poorerauditory attention (p = 0.015; p = 0.012) task. However, there was no significant association found in model 3. GLM analysis for MRI indicated that IR is associated with reduced brain volumes in left hemisphere like amygdala (p = 0.0012), inferior temporal lobe (p = 0.002), lateral orbitofrontal cortex (p = 0.005), superior temporal insula (p = 0.017), middle temporal lobe (p = 0.002), entorhinal (p = 0.049), and right hemisphere brain volumes like precuneus (p = 0.025), and insula (p = 0.002).</p><p><strong>Conclusions: </strong>Our study findings conclude IR is significantly associated with poorer cognitive performance related to auditory attention. Furthermore, the study also revealed that IR is associated with decreased brain volumes in specific regions.</p>","PeriodicalId":6921,"journal":{"name":"Acta Diabetologica","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143623119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}