ArticleMetabolites2025
Lipid Subclasses Differentiate Insulin Resistance by Triglyceride-Glucose Index.
Article in Metabolites, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Metabolomic Signature of Visceral Adiposity: Insights from a Population-Based Cohort.Metabolites · 2026Article
- Triglycerides and HDL cholesterol as strong correlates of insulin resistance: Evidence from NHANES 2013 to 2018.Medicine · 2026Article
- Prediction of Pregnancy-Related Complications in Women of Advanced Maternal Age: A Nomogram Based on LASSO and Logistic Regression.International journal of women's health · 2026Article
- The triglyceride-glucose index for diabetic retinopathy prediction in Chinese patients with type 2 diabetes: a preliminary cross-sectional study.Frontiers in endocrinology · 2026Article
- Metabolomic Signatures of MASLD Identified by the Fatty Liver Index Reveal Gamma-Glutamyl Cycle Disruption and Lipid Remodeling.Metabolites · 2025Article
- Predictive Utility and Metabolomic Signatures of TG/HDL-C Ratio for Metabolic Syndrome Without Cardiovascular Disease and/or Diabetes in Qatari Adults.Metabolites · 2025Article
- Association between the triglyceride-glucose index and carotid plaque progression in patients with type 2 diabetes mellitus: a retrospective cohort study.Frontiers in endocrinology · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundInsulin resistance is a key driver of metabolic syndrome and related disorders, yet its underlying metabolic alterations remain incompletely understood. The Triglyceride-Glucose (TyG) index is an emerging, accessible marker for insulin resistance, with growing evidence supporting its clinical utility. This study aimed to characterize the metabolic profiles associated with insulin resistance using the TyG index in a large, population-based cohort, and to identify metabolic pathways potentially implicated in insulin resistance.
methodsHere, we conducted a cross-sectional study using data from the Qatar Biobank, including 1255 participants without diabetes classified as insulin-sensitive or insulin-resistant based on TyG index tertiles. Untargeted serum metabolomics profiling was performed using high-resolution mass spectrometry. Our statistical analyses included orthogonal partial least squares discriminate analysis and linear models.
resultsDistinct metabolic signatures differentiated insulin-resistant from insulin-sensitive participants. Phosphatidylethanolamines, phosphatidylinositols, and phosphatidylcholines, were strongly associated with insulin resistance, while plasmalogens and sphingomyelins were consistently linked to insulin sensitivity.
conclusionsLipid-centric pathways emerge as potential biomarkers and therapeutic targets for the early detection and personalized management of insulin resistance and related metabolic disorders. Longitudinal studies are warranted to validate causal relationships.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.