Pulse Brain · Growing Health Evidence Index
Tier 1 — Meta-analysis / systematic reviewPeer-reviewed

Validation of biomarkers of aging

Mahdi Moqri, Chiara Herzog, Jesse R. Poganik, Kejun Ying, Jamie N. Justice, Daniel W. Belsky, Albert Higgins‐Chen, Brian H. Chen, Alan A. Cohen, Georg Fuellen, Sara Hägg, Riccardo E. Marioni, Martin Widschwendter, Kristen Fortney, П. О. Федичев, Alex Zhavoronkov, Nir Barzilai, Jessica Lasky‐Su, Douglas P. Kiel, Brian K. Kennedy, Steven R. Cummings, P. Eline Slagboom, Eric Verdin, Andrea B. Maier, Vittorio Sebastiano, M Snyder, Vadim N. Gladyshev, Steve Horvath, Luigi Ferrucci

Nature Medicine · 2024

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Summary

This 2024 Nature Medicine paper presents a comprehensive validation of biological ageing biomarkers across multiple large cohorts and studies, addressing their reliability and clinical applicability. The authors evaluate the predictive capacity of various molecular markers—including epigenetic clocks and protein-based signatures—to forecast health outcomes and longevity. The findings suggest that, as validated here, such biomarkers may inform personalised risk stratification and intervention strategies, though the clinical translation and standardisation of these measures remain areas requiring further development.

Regional applicability

The validation framework and biomarker panels identified could inform NHS preventive medicine and ageing research programmes, particularly if integrated into population health monitoring. However, implementation would require standardised assay protocols, health system integration pathways, and evidence of cost-effectiveness within UK clinical settings.

Key measures

Biomarkers of ageing (including epigenetic clocks, proteomic signatures, metabolomic markers); predictive validity for mortality and disease outcomes; clinical utility and discriminative accuracy

Outcomes reported

The study validated multiple biological markers of ageing across large cohorts to assess their predictive accuracy for human health outcomes and mortality risk. The research evaluated whether composite biomarker panels could serve as clinically actionable measures of biological age.

Theme
Nutrition & health
Subject
Measurement methods & nutrient profiling
Study type
Meta-analysis
Study design
Meta-analysis
Source type
Peer-reviewed study
Status
Published
Geography
International
System type
Human clinical
DOI
10.1038/s41591-023-02784-9
Catalogue ID
SNmoj7nqp7-egxffq

Topic tags

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