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PreprintCC BY-NC-NDbioRxiv

Intraindividual longitudinal changes of the proteome reveal dynamic markers of biological aging

  1. 1Helmholtz Munich

Abstract

Proteomic aging clocks have emerged as biomarkers of aging, but most rely on cross-sectional data. Here, we present a proteomic aging clock based on longitudinal measurements of liquid chromatography-mass spectrometry plasma proteomics at up to three time points in the population-based KORA cohort, comprising 9,105 samples from 4,100 individuals in the final dataset aged 25-88 years. The model predicts chronological age and yields a measure of proteomic age acceleration associated with lifestyle and clinical risk factors. Risk factor-stratified analyses reveal shared proteomic signatures among cardiometabolic exposures and distinct signatures for smoking and physical activity. Within individuals, dyslipidemia and impaired kidney function track transitions to increases in age acceleration, while higher age acceleration is associated with increased all-cause mortality. Mediation analysis suggests that risk factors are linked to mortality indirectly through age acceleration. Affected proteins and pathways highlight extracellular matrix remodeling, complement and coagulation pathways, and liver-derived plasma proteins as key contributors to aging. Mendelian randomization identifies proteins with evidence consistent with a causal role in aging-related traits. Together, these findings are consistent with biological aging being dynamically responsive to changes in modifiable risk factors.

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BibTeX
@misc{lermer2026intraindividual,
  title = {{Intraindividual longitudinal changes of the proteome reveal dynamic markers of biological aging}},
  author = {R. Lermer and X. Qian and S. T. Pusch and T. Schaefer and J. Adam and L. Li and M. von Scheidt and B. Linkohr and A. Peters and M. Mann and H. Schunkert and M. Heinig},
  howpublished = {bioRxiv},
  year = {2026},
  month = oct,
  doi = {10.64898/2026.10.01.755909},
  url = {https://www.biorxiv.org/content/10.64898/2026.10.01.755909v1},
  note = {CC BY-NC-ND},
}
RIS
TY  - UNPB
TI  - Intraindividual longitudinal changes of the proteome reveal dynamic markers of biological aging
AU  - R. Lermer
AU  - X. Qian
AU  - S. T. Pusch
AU  - T. Schaefer
AU  - J. Adam
AU  - L. Li
AU  - M. von Scheidt
AU  - B. Linkohr
AU  - A. Peters
AU  - M. Mann
AU  - H. Schunkert
AU  - M. Heinig
PY  - 2026
DA  - 2026/10/01
PB  - bioRxiv
DO  - 10.64898/2026.10.01.755909
UR  - https://www.biorxiv.org/content/10.64898/2026.10.01.755909v1
AB  - Proteomic aging clocks have emerged as biomarkers of aging, but most rely on cross-sectional data. Here, we present a proteomic aging clock based on longitudinal measurements of liquid chromatography-mass spectrometry plasma proteomics at up to three time points in the population-based KORA cohort, comprising 9,105 samples from 4,100 individuals in the final dataset aged 25-88 years. The model predicts chronological age and yields a measure of proteomic age acceleration associated with lifestyle and clinical risk factors. Risk factor-stratified analyses reveal shared proteomic signatures among cardiometabolic exposures and distinct signatures for smoking and physical activity. Within individuals, dyslipidemia and impaired kidney function track transitions to increases in age acceleration, while higher age acceleration is associated with increased all-cause mortality. Mediation analysis suggests that risk factors are linked to mortality indirectly through age acceleration. Affected proteins and pathways highlight extracellular matrix remodeling, complement and coagulation pathways, and liver-derived plasma proteins as key contributors to aging. Mendelian randomization identifies proteins with evidence consistent with a causal role in aging-related traits. Together, these findings are consistent with biological aging being dynamically responsive to changes in modifiable risk factors.
ER  -