An ageing biomarker signature predicts chronic disease cluster trajectories, physical function and mortality: validation in the TILDA and HRS cohorts - PubMed
3 hours ago
- #multimorbidity trajectories
- #chronic disease prediction
- #ageing biomarkers
- An ageing biomarker signature predicts chronic disease cluster trajectories, physical function, and mortality.
- Validation performed in TILDA (Ireland, n=4961) and HRS (US, n=3914) cohorts.
- Three biomarker signatures identified: low-risk (58.5%), medium-risk (9.2%), and high-risk (32.3%).
- High-risk signature linked to higher 12-year mortality (HR: 1.89) and 8-year incidence of CVD, diabetes, multimorbidity, frailty, and disability.
- High-risk signature associated with lower 4-year physical function.
- Six disease classes tracked over 8 years, highlighting dysregulated immune and cardiometabolic pathways in high-risk groups.
- Findings support using biomarker signatures for risk stratification and targeted interventions in ageing populations.