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An Expert Consensus Statement on Biomarkers of Aging for Use in Intervention Studies
Giorgia Perri1, Chloe French2, César Agostinis-Sobrinho3,4
1Human Nutrition & Exercise Research Centre, Centre for Healthier Lives, Population Health Sciences Institute, Newcastle University, Newcastle Upon Tyne, UK.
Summary
Experts reached a consensus on 14 key biomarkers of aging for longevity studies. This provides a standardized approach for measuring the effectiveness of interventions aimed at promoting healthspan.
Area of Science:
- Gerontology and Longevity Research
- Biomedical Science
- Clinical Trial Design
Background:
- Biomarkers of aging are crucial for evaluating interventions that promote longevity.
- A lack of consensus exists regarding the most suitable biomarkers for human intervention studies.
- Standardized outcome measures are needed to assess the efficacy of aging interventions.
Purpose of the Study:
- To establish an expert consensus on biomarkers of aging suitable for human intervention studies.
- To identify reliable and validated biomarkers for longevity research.
- To provide a framework for future clinical trials in aging.
Main Methods:
- A 3-round Delphi study was conducted with international expert panel members.
- Experts suggested and voted on candidate biomarkers of aging via an online platform.
- Consensus was defined as ≥70% agreement on a biomarker's suitability for intervention studies.
Main Results:
- Fourteen biomarkers across physiological, inflammatory, functional, and epigenetic domains achieved expert consensus.
- Included biomarkers span insulin-like growth factor 1, C-reactive protein, muscle mass, and epigenetic clocks.
- The consensus identified potential outcome measures for intervention studies in aging.
Conclusions:
- An expert consensus identified 14 key biomarkers of aging for use in intervention studies.
- These biomarkers represent a significant step towards standardizing outcome measures in longevity research.
- Further research is recommended to determine the optimal combination of these biomarkers for assessing intervention utility.
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