Back

Immune Aging is an Independent Risk Factor for Cardiovascular Disease

Feldman, E.; Santana, E. J.; Celestin, B.; Golden, N.; Bagherzadeh, S.; Maysel, S.; Mathi, K.; Short, S.; Caroll, M.; Sullivan, S. S.; Lukacisin, M.; Ji, X.; Klein, Y.; Caspi, O.; Nguyen, P.; Fearon, W. F.; Kim, B.; Shah, S.; Mahaffey, K. W.; Maecker, H. T.; Davis, M. M.; Milman, N.; Few-Cooper, T. J.; Haddad, F.; Shen-Orr, S. S.

2026-05-20 immunology
10.64898/2026.05.18.725733 bioRxiv
Show 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 developeda 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.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
Nature Aging
51 papers in training set
Top 0.2%
8.2%
2
Nature Communications
4913 papers in training set
Top 25%
7.2%
3
Nature
575 papers in training set
Top 4%
7.2%
4
Cell Reports
1338 papers in training set
Top 6%
6.8%
5
Science Translational Medicine
111 papers in training set
Top 0.2%
6.8%
6
Cell Systems
167 papers in training set
Top 3%
4.9%
7
Nature Medicine
117 papers in training set
Top 0.4%
4.9%
8
Science
429 papers in training set
Top 8%
4.2%
50% of probability mass above
9
Nature Immunology
71 papers in training set
Top 0.5%
3.9%
10
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 20%
3.6%
11
Aging Cell
144 papers in training set
Top 1%
3.6%
12
Nature Cardiovascular Research
28 papers in training set
Top 0.2%
2.6%
13
Science Advances
1098 papers in training set
Top 13%
2.1%
14
eLife
5422 papers in training set
Top 36%
2.1%
15
Immunity
58 papers in training set
Top 2%
1.8%
16
Nucleic Acids Research
1128 papers in training set
Top 11%
1.7%
17
EMBO Molecular Medicine
85 papers in training set
Top 2%
1.5%
18
Advanced Science
249 papers in training set
Top 12%
1.5%
19
Genome Medicine
154 papers in training set
Top 5%
1.5%
20
Cell
370 papers in training set
Top 13%
1.3%
21
Cell Reports Medicine
140 papers in training set
Top 5%
1.3%
22
Cell Metabolism
49 papers in training set
Top 2%
1.2%
23
Circulation
66 papers in training set
Top 2%
1.0%
24
Circulation Research
39 papers in training set
Top 1.0%
0.8%
25
Nature Biomedical Engineering
42 papers in training set
Top 2%
0.8%
26
Scientific Reports
3102 papers in training set
Top 72%
0.8%
27
Cancer Discovery
61 papers in training set
Top 2%
0.8%
28
PLOS Computational Biology
1633 papers in training set
Top 25%
0.7%
29
Journal of Experimental Medicine
106 papers in training set
Top 4%
0.7%
30
Journal of Clinical Investigation
164 papers in training set
Top 8%
0.6%