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Updated: Apr 25, 2026
09:10
Measuring Single-Cell Aging with an Imaging-based Biomarker of Chromatin and Epigenetic Aging
Published on: January 30, 2026
966
Circulating Proteomic Signatures of Chronological Age.
Cristina Menni1, Steven J Kiddle2, Massimo Mangino1
1Department of Twin Research and Genetic Epidemiology, King's College London.
Summary
Proteomics reveals key plasma proteins linked to aging. Chordin-like protein 1 and pleiotrophin show strong associations with chronological age and health markers, offering insights into aging mechanisms.
Area of Science:
- Proteomics
- Human Aging Research
- Biomarker Discovery
Background:
- Aging is a complex biological process with incompletely understood molecular underpinnings.
- Plasma proteomic profiling offers a window into systemic aging phenotypes.
- Previous studies have identified age-related changes, but robust validation is needed.
Purpose of the Study:
- To identify and validate plasma proteomic signatures associated with chronological aging.
- To investigate the relationship between age-associated proteins and health-related phenotypes.
- To explore the gene expression of identified aging biomarkers.
Main Methods:
- SOMAscan assay used to profile plasma subproteome in the TwinsUK cohort.
- Replication of findings in independent AddNeuroMed, Alzheimer's Research UK, and Dementia Case Registry cohorts.
- Validation using RNAseq data and association testing with aging-related phenotypes.
Main Results:
- Eleven plasma proteins significantly associated with chronological age were identified and replicated.
- Chordin-like protein 1 and pleiotrophin were the most strongly age-associated proteins.
- Chordin-like protein 1 correlated with birthweight and cardiovascular risk; pleiotrophin is a known risk marker.
Conclusions:
- Proteomic analysis successfully identified robust plasma protein biomarkers of human aging.
- These biomarkers, particularly chordin-like protein 1 and pleiotrophin, offer insights into aging mechanisms and health.
- Proteomics is a valuable tool for understanding molecular processes in health and aging.
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