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 FisherDimitris 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

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article numberglae297
Number of pages12
JournalJournals of Gerontology: Series A
Volume80
Issue number5
Early online date21 Dec 2024
DOIs
Publication statusPublished - 9 Apr 2025

Bibliographical note

Copyright © The Author(s) 2024. Published by Oxford University Press on behalf of the Gerontological Society of America.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/),
which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

Keywords

  • Consensus
  • Delphi method
  • Longevity

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