Limited research has explored the effectiveness of insulin resistance (IR) in forecasting metabolic syndrome (MetS) risk, especially within the Iranian population afflicted with type 2 diabetes mellitus (T2DM). The present investigation aimed to assess the efficacy of IR indices in predicting the risk of MetS among T2DM patients. Convenient sampling was utilized to select four hundred subjects with T2DM. Metabolic factors and IR indices, including the Waist Circumference-Triglyceride Index (WTI), Triglyceride and Glucose Index (TyG index), the product of TyG index and abdominal obesity indices, and the Metabolic Score for Insulin Resistance (METS-IR), were evaluated. Logistic regression, coupled with modeling, was employed to explore the risk of MetS. The predictive performance of the indices for MetS stratified by sex was evaluated via receiver operating characteristic (ROC) curve analysis and estimation of the area under the curve (AUC) values. The TyG-Waist Circumference (TyG-WC) index exhibited the largest AUCs in both males (0.91) and females (0.93), while the TyG-Body Mass Index (TyG-BMI) demonstrated the smallest AUCs (0.77 in males and 0.74 in females). All indices significantly predicted the risk of MetS in all subjects before and after adjustment (p < 0.001 for all). The TyG-WC index demonstrated the highest odds ratios for MetS (8.06, 95% CI 5.41-12.00). In conclusion, all IR indices assessed in this study effectively predicted the risk of MetS among Iranian patients with T2DM, with the TyG-WC index emerging as the most robust predictor across both genders.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11024148PMC
http://dx.doi.org/10.1038/s41598-024-59659-3DOI Listing

Publication Analysis

Top Keywords

insulin resistance
12
risk mets
12
indices metabolic
8
metabolic syndrome
8
type diabetes
8
diabetes mellitus
8
indices
6
risk
5
mets
5
assessing predictive
4

Similar Publications

NORAD exacerbates metabolic dysfunction-associated steatotic liver disease development via the miR-511-3p/Rock2 axis and inhibits ubiquitin-mediated degradation of ROCK2.

Metabolism

December 2024

Department of Pathology, School of Basic Medical Sciences, Wannan Medical College, Wuhu, China; Postdoctoral Research Station of Clinical Medicine, Jinan University, Guangzhou, China. Electronic address:

Background & Aims: Abnormal expression of long noncoding RNAs is strongly linked to metabolic dysfunction-associated steatotic liver disease (MASLD). However, the precise molecular mechanisms remain unclear. This study explores the roles of noncoding RNA activated by DNA damage (NORAD)/miR-511-3p/Rho-associated protein kinase 2 (Rock2) axis and the NORAD/ROCK2 interaction in the development of MASLD.

View Article and Find Full Text PDF

The present study examined the relationships between trunk tissue distribution, metabolic risk factors, and physical performance in young Japanese individuals using cross-sectional and longitudinal analyses. Thirty-six healthy Japanese men (n = 20, body mass index [BMI]: 20.8 ± 2.

View Article and Find Full Text PDF

Polycystic ovary syndrome (PCOS) is associated with several mild metabolic disorders, including insulin resistance (IR), obesity, and dyslipidemia, as well as with some more severe ones, including type 2 diabetes mellitus, non-alcoholic fatty liver disease (NAFLD), and cardiovascular disease. Clinically, mild metabolic complications of PCOS such as IR or lipid metabolism disorders are the predictors of these more severe ones. So far, there is no reliable single marker that enables defining metabolic risk in patients with PCOS.

View Article and Find Full Text PDF

Background: The number of people reaching old age is rising, bringing an increase in age-related diseases like cardiovascular conditions and cognitive dysfunction. Cognitive impairment (CI) impacts various brain functions, affecting daily activities and quality of life. Metabolic syndrome (MetS), a cluster of cardiovascular risk factors, has been implicated in CI.

View Article and Find Full Text PDF

Metabolic syndrome (MetS) is driven by a complex interplay of genetic, lifestyle, and dietary factors, leading to weight gain, insulin resistance, dyslipidemia, and chronic inflammation. Gut microbiota dysbiosis has been recently recognized as a key contributor to MetS, leading to advancements in gut microbiome-based interventions to improve health outcomes. Considering the unique challenges associated with the use of pre/probiotics, short-chain fatty acids (SCFA), also known as postbiotics, have emerged as promising therapeutic agents due to their role in modulating host metabolism and physiology.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!