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Published on: July 14, 2016
Immune Aging is an Independent Risk Factor for Cardiovascular Disease
Erik Feldman1, Everton Jose Santana2,3, Bettia Celestin2,3
1Department of Immunology, Ruth and Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel.
Insights
A new metric, IMM-AGE, measures immune aging to predict cardiovascular disease risk. This immune aging score improves risk prediction beyond traditional factors, offering a practical tool for personalized cardiovascular care.
Area of Science:
- Immunology
- Cardiovascular Medicine
- Biogerontology
Background:
- Cardiovascular disease (CVD) is a leading global cause of death.
- Residual risk for CVD persists despite traditional predictors.
- Clinically scalable metrics for immune system state are needed.
Purpose of the Study:
- To establish the clinical and prognostic relevance of IMM-AGE, a system-level metric of immune aging.
- To develop clinic-ready implementations for IMM-AGE measurement.
- To assess IMM-AGE's utility in cardiovascular risk stratification and prediction.
Main Methods:
- Developed a transcriptomic gene-ratio signature and optimized flow cytometry panels for IMM-AGE.
- Applied IMM-AGE measurements across diverse population-based and disease-specific datasets.
- Integrated IMM-AGE into the PREVENT 10-year risk equation using UK Biobank data.
Main Results:
- Elevated IMM-AGE is consistently associated with cardiovascular phenotypes and disease.
- IMM-AGE incorporation improved accuracy in the PREVENT risk equation.
- Baseline IMM-AGE independently predicted cardiac remodeling and mortality in elderly patients undergoing TAVR.
- IMM-AGE stratified cardiovascular event risk in a longitudinal cohort.
Conclusions:
- Immune aging (IMM-AGE) is a transferable, biologically grounded dimension of cardiovascular risk.
- IMM-AGE serves as a practical tool for precision cardiovascular risk assessment.
- This metric enhances risk stratification beyond conventional clinical and metabolic predictors.
Abstract:
Cardiovascular disease remains the leading cause of mortality worldwide, yet substantial risk persists beyond traditional clinical and metabolic predictors. The immune system is a key mediator of this residual risk, but clinically scalable metrics of immune state are lacking. Here, we established the clinical and prognostic relevance of IMM-AGE, a system-level metric of immune aging derived from immune cell correlation structure. We developed a transcriptomic gene-ratio signature and optimized reduced-marker flow cytometry panels that accurately preserve IMM-AGE across blood fractions, platforms and cohorts. Applying these clinic-ready implementations across population-based and disease-specific datasets, we show that elevated IMM-AGE is consistently associated with cardiovascular phenotypes and disease. We leverage the UK biobank to show that incorporation of IMM-AGE into the PREVENT 10-year risk equation increase accuracy of risk stratification. We also show that in elderly patients undergoing transcatheter aortic valve replacement, baseline IMM-AGE independently predicted early maladaptive cardiac remodeling and one-year mortality. Finally, in the Baseline Health Study, a large longitudinal cohort, IMM-AGE stratified cardiovascular event risk among individuals with otherwise similar clinical profiles. Together, these findings establish immune aging as a transferable, biologically grounded risk dimension and support IMM-AGE as a practical tool for precision cardiovascular risk assessment.
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