| Title: | Association between triglyceride-glucose muscle-loss index (TyG-MLI) and incident cardiovascular disease: a prospective cohort study in the UK biobank |
| Journal: | Cardiovascular Diabetology |
| Published: | 13 Dec 2025 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/41390625/ |
| DOI: | https://doi.org/10.1186/s12933-025-03031-w |
Publication 17179
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Abstract
BackgroundInsulin resistance and muscle loss are interrelated processes linked to cardiovascular disease (CVD), but they are rarely assessed together. We investigated the association between a novel integrated biomarker - triglyceride-glucose muscle-loss index (TyG-MLI) - and incident CVD in a large prospective cohort.MethodsA total of 277,418 UK Biobank participants free of CVD at baseline were included. TyG-MLI was calculated as ln[(triglycerides × fasting glucose)/2] × (cystatin C/creatinine). Incident CVD was identified through hospital admissions and death registries. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs).ResultsOver a median follow-up of 15.1 years, 40,398 participants developed CVD. Crude CVD incidence increased steadily across TyG-MLI quartiles, and the cumulative incidence curves demonstrated clear separation on Kaplan-Meier analysis (log-rank p < 0.001). Higher TyG-MLI was independently associated with greater CVD risk when modeled either continuously (per 1-SD: HR 1.17; 95% CI 1.16-1.18) or categorically (Q4 vs. Q1: HR 1.48; 95% CI 1.44-1.53). Restricted cubic spline analyses demonstrated a non-linear association across the TyG-MLI distribution. Sensitivity analyses yielded consistent results. In body mass index-stratified analyses, TyG-MLI showed stronger associations with CVD than TyG index, particularly among normal-weight and underweight individuals.ConclusionsTyG-MLI, a composite marker reflecting insulin resistance and muscle loss, was independently associated with incident CVD in this large population-based cohort. These findings suggest that TyG-MLI captures cardiometabolic risk beyond traditional measures and may be particularly informative in individuals without obesity.Graphical abstract</p>
21 Keywords
- Adult
- Aged
- Biological Specimen Banks
- Biomarkers
- Blood Glucose
- Cardiovascular Diseases
- Female
- Humans
- Incidence
- Insulin Resistance
- Male
- Middle Aged
- Muscle, Skeletal
- Prognosis
- Prospective Studies
- Risk Assessment
- Risk Factors
- Time Factors
- Triglycerides
- UK Biobank
- United Kingdom
7 Authors
- Yanwen Fang
- Sizhuang Huang
- Hao Zhang
- Mingyang Li
- Haihua Zhang
- Weixian Yang
- Mengyue Yu
1 Application
| Application ID | Title |
|---|---|
| 532333 | Multimodal Analysis for Onset, Development, and Identifying Therapeutic Targets in cardiovascular disease combined with chronic inflammatory diseases |
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