Open access · OA via Europe PMC

ProtFI, an efficient frailty-trained proteomics-based biomarker of aging, robustly predicts age-related decline.

Garst S, Kuiper L, van den Akker E, van den Berg N, Ghanbari M, Mooijaart S, Beekman M, Reinders M, Slagboom PE, van Meurs J.

Cell reports methods · 2026

Chronic inflammation

＋ Sign in to save

Abstract

Many molecular aging biomarkers have been developed to capture heterogeneity in individual aging rates. Yet, systematic comparison of the modeling choices underlying these biomarkers has been limited. In this study, we trained aging biomarkers on the Rockwood frailty index (FI) and all-cause mortality using UK Biobank Olink proteomics and metabolomics (<sup>1</sup>H-NMR) data (n = 40,696). We systematically established the impact of model choice, target outcome, and molecular data source on several age-related outcomes. From this, we developed two aging biomarkers, ProteinFrailty (ProtFI) and ProteinMortality (ProtMort), which are both ElasticNet models that use a minimal set of proteins to predict FI and mortality, respectively. In particular, ProtFI outperformed established aging biomarkers in relation to diverse outcomes, including incident cardiovascular disease, handgrip strength, and self-rated health, both in internal validation and two Dutch external cohorts (n = 995, n = 500). Our findings show that an efficient frailty-trained proteomic biomarker robustly predicts age-related decline.

◌ CITATION ONLY
Full text is not openly licensed for redistribution here. Read it at the source:

Read at source →

Provenance

Source: Europe PMC
DOI: 10.1016/j.crmeth.2026.101405
Canonical: link ↗
Fetched: 2026-07-02 MST

Cite this

APA

S, G., L, K., E, V.D.A., N, V.D.B., M, G., S, M., M, B., M, R., PE, S., & J., V.M. (2026). ProtFI, an efficient frailty-trained proteomics-based biomarker of aging, robustly predicts age-related decline. <em>Cell reports methods</em>. https://doi.org/10.1016/j.crmeth.2026.101405

Vancouver

S G, L K, E VDA, N VDB, M G, S M, et al. ProtFI, an efficient frailty-trained proteomics-based biomarker of aging, robustly predicts age-related decline. Cell reports methods. 2026. doi:10.1016/j.crmeth.2026.101405.

BibTeX

@article{garst2026ProtFI, title = {ProtFI, an efficient frailty-trained proteomics-based biomarker of aging, robustly predicts age-related decline.}, author = {Garst S and Kuiper L and van den Akker E and van den Berg N and Ghanbari M and Mooijaart S and Beekman M and Reinders M and Slagboom PE and van Meurs J.}, journal = {Cell reports methods}, year = {2026}, doi = {10.1016/j.crmeth.2026.101405}, }