An Expert Consensus Statement on Biomarkers of Aging for Use in Intervention Studies
Giorgia Perri,
Chloe French,
César Agostinis-Sobrinho,
Atul Anand,
Radiana Dhewayani Antarianto,
Yasumichi Arai,
Joseph A Baur,
Omar Cauli,
Morgane Clivaz-Duc,
Giuseppe Colloca,
Constantinos Demetriades,
Chiara de Lucia,
Giorgio Di Gessa,
Breno S Diniz,
Catherine L Dotchin,
Gillian Eaglestone,
Bradley T Elliott,
Mark A Espeland,
Luigi Ferrucci,
James Fisher,
Dimitris K Grammatopoulos,
Novi S Hardiany,
Zaki Hassan-Smith,
Waylon J Hastings,
Swati Jain,
Peter K Joshi,
Theodora Katsila,
Graham J Kemp,
Omid A Khaiyat,
Dudley W Lamming,
Jose Lara Gallegos,
Frank Madeo,
Andrea B Maier,
Carmen Martin-Ruiz,
Ian J Martins,
John C Mathers,
Lewis R Mattin,
Reshma A Merchant,
Alexey Moskalev,
Ognian Neytchev,
Mary Ni Lochlainn,
Claire M Owen,
Stuart M Phillips,
Jedd Pratt,
Konstantinos Prokopidis,
Nicholas J W Rattray,
María Rúa-Alonso,
Lutz Schomburg,
David Scott,
Sangeetha Shyam,
Elina Sillanpää,
Michelle M C Tan,
Ruth Teh,
Stephanie W Tobin,
Carolina J Vila-Chã,
Luigi Vorluni,
Daniela Weber,
Ailsa Welch,
Daisy Wilson,
Thomas Wilson,
Tongbiao Zhao,
Elena Philippou,
Viktor I Korolchuk,
Oliver M Shannon and
Gustavo Duque
The Journals of Gerontology: Series B, 2025, vol. 80, issue 5, 3758-3775
Abstract:
Biomarkers of aging serve as important outcome measures in longevity-promoting interventions. However, there is limited consensus on which specific biomarkers are most appropriate for human intervention studies. This work aimed to address this need by establishing an expert consensus on biomarkers of aging for use in intervention studies via the Delphi method.A 3-round Delphi study was conducted using an online platform. In Round 1, expert panel members provided suggestions for candidate biomarkers of aging. In Rounds 2 and 3, they voted on 500 initial statements (yes/no) relating to 20 biomarkers of aging. Panel members could abstain from voting on biomarkers outside their expertise. Consensus was reached when there was ≥70% agreement on a statement/biomarker.Of the 460 international panel members invited to participate, 116 completed Round 1, 87 completed Round 2, and 60 completed Round 3. Across the 3 rounds, 14 biomarkers met consensus that spanned physiological (eg, insulin-like growth factor 1, growth-differentiating factor-15), inflammatory (eg, high sensitivity C-reactive protein, interleukin-6), functional (eg, muscle mass, muscle strength, hand grip strength, Timed-Up-and-Go, gait speed, standing balance test, frailty index, cognitive health, blood pressure), and epigenetic (eg, DNA methylation/epigenetic clocks) domains.Expert consensus identified 14 potential biomarkers of aging which may be used as outcome measures in intervention studies. Future aging research should identify which combination of these biomarkers has the greatest utility.
Keywords: Consensus; Delphi method; Longevity (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1093/gerona/glae297 (application/pdf)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:oup:geronb:v:80:y:2025:i:5:p:3758-3775.
Ordering information: This journal article can be ordered from
https://academic.oup.com/journals
Access Statistics for this article
The Journals of Gerontology: Series B is currently edited by Psychological Sciences - S. Duke Han, PhD and Social Sciences - Jessica A Kelley, PhD, FGSA
More articles in The Journals of Gerontology: Series B from The Gerontological Society of America Oxford University Press, Great Clarendon Street, Oxford OX2 6DP, UK.
Bibliographic data for series maintained by Oxford University Press ().