An expert consensus statement on biomarkers of ageing for use in intervention studies.
Author
Perri, GiorgiaFrench, Chloe
Agostinis-Sobrinho, César
Anand, Atul
Antarianto, Radiana Dhewayani
Arai, Yasumichi
Baur, Joseph A
Cauli, Omar
Clivaz-Duc, Morgane
Colloca, Giuseppe
Demetriades, Constantinos
de Lucia, Chiara
Di Gessa, Giorgio
Diniz, Breno S
Dotchin, Catherine L
Eaglestone, Gillian
Elliott, Bradley T
Espeland, Mark A
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
Gallegos, Jose Lara
Madeo, Frank
Maier, Andrea B
Martin-Ruiz, Carmen
Martins, Ian J
Mathers, John C
Mattin, Lewis R
Merchant, Reshma A
Moskalev, Alexey
Neytchev, Ognian
Ni Lochlainn, Mary
Owen, Claire M
Phillips, Stuart M
Pratt, Jedd
Prokopidis, Konstantinos
Rattray, Nicholas J W
Rúa-Alonso, María
Schomburg, Lutz
Scott, David
Shyam, Sangeetha
Sillanpää, Elina
Tan, Michelle M C
Teh, Ruth
Tobin, Stephanie W
Vila-Chã, Carolina J
Vorluni, Luigi
Weber, Daniela
Welch, Ailsa
Wilson, Daisy
Wilson, Thomas
Zhao, Tongbiao
Philippou, Elena
Korolchuk, Viktor I
Shannon, Oliver M
Publication date
2024-12-21
Metadata
Show full item recordAbstract
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.Citation
Perri G, French C, Agostinis-Sobrinho C, Anand A, Antarianto RD, Arai Y, Baur JA, Cauli O, Clivaz-Duc M, Colloca G, Demetriades C, de Lucia C, Di Gessa G, Diniz BS, Dotchin CL, Eaglestone G, Elliott BT, Espeland MA, Ferrucci L, Fisher J, Grammatopoulos DK, Hardiany NS, Hassan-Smith Z, Hastings WJ, Jain S, Joshi PK, Katsila T, Kemp GJ, Khaiyat OA, Lamming DW, Gallegos JL, Madeo F, Maier AB, Martin-Ruiz C, Martins IJ, Mathers JC, Mattin LR, Merchant RA, Moskalev A, Neytchev O, Ni Lochlainn M, Owen CM, Phillips SM, Pratt J, Prokopidis K, Rattray NJW, Rúa-Alonso M, Schomburg L, Scott D, Shyam S, Sillanpää E, Tan MMC, Teh R, Tobin SW, Vila-Chã CJ, Vorluni L, Weber D, Welch A, Wilson D, Wilson T, Zhao T, Philippou E, Korolchuk VI, Shannon OM. An expert consensus statement on biomarkers of ageing for use in intervention studies. J Gerontol A Biol Sci Med Sci. 2024 Dec 21:glae297. doi: 10.1093/gerona/glae297. Epub ahead of print.Type
ArticleAdditional Links
https://academic.oup.com/biomedgerontologyPMID
39708300Publisher
Oxford University Pressae974a485f413a2113503eed53cd6c53
10.1093/gerona/glae297