Article
Author: Korolchuk, Viktor I ; Hardiany, Novi S ; Teh, Ruth ; Madeo, Frank ; Wilson, Daisy ; Zhao, Tongbiao ; Jain, Swati ; Espeland, Mark A ; Maier, Andrea B ; Wilson, Thomas ; Shyam, Sangeetha ; Arai, Yasumichi ; Elliott, Bradley T ; Owen, Claire M ; Vila-Chã, Carolina J ; Demetriades, Constantinos ; Weber, Daniela ; Antarianto, Radiana Dhewayani ; Welch, Ailsa ; Colloca, Giuseppe ; Rattray, Nicholas J W ; Grammatopoulos, Dimitris K ; Anand, Atul ; Sillanpää, Elina ; Joshi, Peter K ; French, Chloe ; Cauli, Omar ; Tan, Michelle M C ; Martin-Ruiz, Carmen ; Khaiyat, Omid A ; Moskalev, Alexey ; Mathers, John C ; Clivaz-Duc, Morgane ; Merchant, Reshma A ; Mattin, Lewis R ; Scott, David ; Tobin, Stephanie W ; Neytchev, Ognian ; Agostinis-Sobrinho, César ; Hassan-Smith, Zaki ; Perri, Giorgia ; Lamming, Dudley W ; Di Gessa, Giorgio ; Gallegos, Jose Lara ; Dotchin, Catherine L ; Ni Lochlainn, Mary ; Hastings, Waylon J ; Baur, Joseph A ; Rúa-Alonso, María ; Kemp, Graham J ; Schomburg, Lutz ; Phillips, Stuart M ; Martins, Ian J ; Diniz, Breno S ; Pratt, Jedd ; Katsila, Theodora ; Fisher, James ; Vorluni, Luigi ; Philippou, Elena ; Eaglestone, Gillian ; Ferrucci, Luigi ; Prokopidis, Konstantinos ; Shannon, Oliver M ; de Lucia, Chiara
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.