Metabolomic profiling identifies plasma protein biomarkers of biological aging
- 1King's College London
Abstract
Blood metabolomics capture variation in biological aging, but the circulating proteins that underlie or accompany metabolomic aging and its links to disease and mortality remain underexplored. Here, we integrated metabolomics, proteomics and genetics from UK Biobank to characterize the protein architecture of metabolomic aging. Building on our previous mortality-trained score (MetScore1), we developed MetScore2 from 325 NMR biomarkers in 400,594 participants. Higher MetScore2 values marked earlier onset of age-related diseases, and faster score increases predicted higher mortality. Proteome-wide association study identified MetScore2-associated plasma proteins. Their signature was broadly similar in both sexes but showed undulating changes across mid-to-late adulthood, with peaks at 50, 57 and 65 years. By integrating GWAS, Mendelian randomization and colocalization, we identified IL1RN, ARG1, NCAN, F11R, SERPINF2 and NBL1 as putative causal proteins, each with distinct disease associations. Our findings delineate the proteomic landscape of metabolomic aging and prioritize candidate causal proteins for mechanistic and translational follow-up.
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BibTeX
@misc{luo2026metabolomic,
title = {{Metabolomic profiling identifies plasma protein biomarkers of biological aging}},
author = {X. Luo and C. Liu and Y. Xie and Y. Zhao and H. Zhao and Y. Huang and S. Gao and Y. Wang and X. Jian and G. Zhao and Y. Zhang and J. Li and J. Mutz and B. Li},
howpublished = {medRxiv},
year = {2026},
month = sep,
doi = {10.64898/2026.09.27.26364110},
url = {https://www.medrxiv.org/content/10.64898/2026.09.27.26364110v1},
note = {CC BY},
}
RIS
TY - UNPB
TI - Metabolomic profiling identifies plasma protein biomarkers of biological aging
AU - X. Luo
AU - C. Liu
AU - Y. Xie
AU - Y. Zhao
AU - H. Zhao
AU - Y. Huang
AU - S. Gao
AU - Y. Wang
AU - X. Jian
AU - G. Zhao
AU - Y. Zhang
AU - J. Li
AU - J. Mutz
AU - B. Li
PY - 2026
DA - 2026/09/27
PB - medRxiv
DO - 10.64898/2026.09.27.26364110
UR - https://www.medrxiv.org/content/10.64898/2026.09.27.26364110v1
AB - Blood metabolomics capture variation in biological aging, but the circulating proteins that underlie or accompany metabolomic aging and its links to disease and mortality remain underexplored. Here, we integrated metabolomics, proteomics and genetics from UK Biobank to characterize the protein architecture of metabolomic aging. Building on our previous mortality-trained score (MetScore1), we developed MetScore2 from 325 NMR biomarkers in 400,594 participants. Higher MetScore2 values marked earlier onset of age-related diseases, and faster score increases predicted higher mortality. Proteome-wide association study identified MetScore2-associated plasma proteins. Their signature was broadly similar in both sexes but showed undulating changes across mid-to-late adulthood, with peaks at 50, 57 and 65 years. By integrating GWAS, Mendelian randomization and colocalization, we identified IL1RN, ARG1, NCAN, F11R, SERPINF2 and NBL1 as putative causal proteins, each with distinct disease associations. Our findings delineate the proteomic landscape of metabolomic aging and prioritize candidate causal proteins for mechanistic and translational follow-up.
ER -