| Title: | TyG-Biomarker discordance profiling identifies metabolically heterogeneous phenotypes with divergent cardiovascular and diabetes risk: metabolomic characterization from the UK biobank |
| Journal: | Lipids in Health and Disease |
| Published: | 8 Aug 2026 |
| DOI: | https://doi.org/10.1186/s12944-026-03027-9 |
Publication 21041
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Abstract
BackgroundThe triglyceride-glucose (TyG) index is a widely used surrogate of insulin resistance, yet it captures only a narrow slice of the broader cardiometabolic dysregulation associated with metabolic dysfunction. Whether individuals with equivalent TyG values harbour meaningfully distinct multisystem metabolic phenotypes with divergent clinical implications remains poorly understood. We aimed to identify reproducible TyG-biomarker discordance profiles and characterize their associations with prevalent cardiometabolic disease and incident outcomes.MethodsUsing data from 496,724 UK Biobank participants, we quantified discordance between observed and TyG-predicted values across eight routine biomarkers spanning adiposity, haemodynamics, renal function, inflammation, and lipid metabolism. Standardized residuals were projected using Uniform Manifold Approximation and Projection (UMAP) and clustered via a two-stage graph-based procedure. Soft cluster membership probabilities were derived using a Gaussian mixture model. Profile-specific associations with six prevalent cardiometabolic conditions, three medication classes, and incident major adverse cardiovascular events and type 2 diabetes over ten years of follow-up were estimated using logistic regression and Cox proportional hazards models, with additive log-ratio transformed probabilities as predictors. Plasma NMR metabolomic profiles were additionally characterized for each discordance profile using the same regression framework with Benjamini-Hochberg false discovery rate correction.ResultsSix reproducible discordance profiles were identified per sex alongside a baseline concordant profile, each characterized by systematic deviation in a distinct biological domain: discordant hypertensive, discordant renal, discordant high HDL-lipid, discordant obesity, discordant pro-atherogenic lipid, and discordant inflammatory. Profiles showed divergent associations with cardiometabolic outcomes. The discordant obesity profile was the strongest positive predictor of incident type 2 diabetes in both sexes. The discordant pro-atherogenic lipid profile was consistently inversely associated with type 2 diabetes yet positively associated with incident major adverse cardiovascular events in males, with an inverse association observed in females. Sex-specific reversals in the direction of association were observed for the discordant hypertensive profile across multiple outcomes. Metabolomic profiling corroborated the biological distinctiveness of each profile, revealing profile-specific lipoprotein subclass, inflammatory glycoprotein, and fatty acid signatures that were broadly consistent with their divergent clinical risk associations and persisted across sexes.ConclusionsIndividuals with equivalent TyG levels harbour substantially heterogeneous multisystem metabolic phenotypes with divergent cardiometabolic risk profiles. TyG-biomarker discordance profiling provides a complementary framework for metabolic risk stratification that captures clinically meaningful heterogeneity not reflected by TyG level alone, with independent metabolomic signatures confirming the biological distinctiveness of each profile.Graphical Abstract</p>
6 Authors
- Yuhao Yang
- Yaxi Liu
- Xi Li
- Zhenmei An
- Shuangqing Li
- Qingguo Lyu
1 Application
| Application ID | Title |
|---|---|
| 1054039 | Large-Scale Epidemiological Analysis of Endocrine System Diseases: Risk Factors and Genetic Determinants |
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