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    An expert consensus statement on biomarkers of ageing for use in intervention studies

    Perri, Giorgia, French, Chloe, Agostinis-Sobrinho, César, Anand, Atul ORCID logoORCID: https://orcid.org/0000-0002-6428-4554, Antarianto, Radiana Dhewayani, Arai, Yasumichi, Baur, Joseph A ORCID logoORCID: https://orcid.org/0000-0001-8262-6549, Cauli, Omar, Clivaz-Duc, Morgane, Colloca, Giuseppe, Demetriades, Constantinos, de Lucia, Chiara, Di Gessa, Giorgio ORCID logoORCID: https://orcid.org/0000-0001-6154-1845, Diniz, Breno S ORCID logoORCID: https://orcid.org/0000-0003-0653-1905, Dotchin, Catherine L, Eaglestone, Gillian, Elliott, Bradley T, Espeland, Mark A ORCID logoORCID: https://orcid.org/0000-0002-3711-1949, Ferrucci, Luigi, Fisher, James, Grammatopoulos, Dimitris K, Hardiany, Novi S, Hassan-Smith, Zaki, Hastings, Waylon J, Jain, Swati, Joshi, Peter K, Katsila, Theodora, Kemp, Graham J, Khaiyat, Omid A, Lamming, Dudley W ORCID logoORCID: https://orcid.org/0000-0002-0079-4467, Gallegos, Jose Lara, Madeo, Frank, Maier, Andrea B ORCID logoORCID: https://orcid.org/0000-0001-7206-1724, Martin-Ruiz, Carmen, Martins, Ian J, Mathers, John C, Mattin, Lewis R, Merchant, Reshma A, Moskalev, Alexey, Neytchev, Ognian ORCID logoORCID: https://orcid.org/0000-0002-9510-2135, Ni Lochlainn, Mary ORCID logoORCID: https://orcid.org/0000-0001-5702-1759, Owen, Claire M, Phillips, Stuart M ORCID logoORCID: https://orcid.org/0000-0002-1956-4098, Pratt, Jedd ORCID logoORCID: https://orcid.org/0000-0002-7410-078X, Prokopidis, Konstantinos ORCID logoORCID: https://orcid.org/0000-0002-6264-9388, Rattray, Nicholas JW, Rúa-Alonso, María, Schomburg, Lutz ORCID logoORCID: https://orcid.org/0000-0001-9445-1555, Scott, David ORCID logoORCID: https://orcid.org/0000-0001-5226-1972, Shyam, Sangeetha, Sillanpää, Elina ORCID logoORCID: https://orcid.org/0000-0001-6375-959X, Tan, Michelle MC ORCID logoORCID: https://orcid.org/0000-0002-4806-7939, Teh, Ruth ORCID logoORCID: https://orcid.org/0000-0001-7135-1850, Tobin, Stephanie W, Vila-Chã, Carolina J, Vorluni, Luigi, Weber, Daniela ORCID logoORCID: https://orcid.org/0000-0002-2054-6233, Welch, Ailsa, Wilson, Daisy ORCID logoORCID: https://orcid.org/0000-0001-7267-9487, Wilson, Thomas ORCID logoORCID: https://orcid.org/0000-0003-3112-4682, Zhao, Tongbiao, Philippou, Elena ORCID logoORCID: https://orcid.org/0000-0003-0300-9572, Korolchuk, Viktor I and Shannon, Oliver M (2024) An expert consensus statement on biomarkers of ageing for use in intervention studies. The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences. glae297. ISSN 1079-5006

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    Abstract

    Biomarkers of ageing 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 ageing for use in intervention studies via the Delphi method. A three-round Delphi study was conducted using an online platform. In Round 1, expert panel members provided suggestions for candidate biomarkers of ageing. In Rounds 2 and 3, they voted on 500 initial statements (yes/no) relating to 20 biomarkers of ageing. 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 (e.g., insulin-like growth factor 1, growth-differentiating factor-15), inflammatory (e.g., high sensitivity c-reactive protein, interleukin-6), functional (e.g., muscle mass, muscle strength, hand grip strength, Timed-Up-and-Go, gait speed, standing balance test, frailty index, cognitive health, blood pressure), and epigenetic (e.g., DNA methylation/epigenetic clocks) domains. Expert consensus identified 14 potential biomarkers of ageing which may be used as outcome measures in intervention studies. Future ageing research should identify which combination of these biomarkers has the greatest utility.

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