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

doi:10.1093/gerona/glae297

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

Newcastle University
University of Manchester
Sport Physical Activity and Health Research & Innovation Center (SPRINT)
University of Edinburgh
Department of Histology, Cytology, and Embryology, Orel State University named after I.S. Turgenev, Orel, Russia
Keio University School of Medicine, Shinjukuku, Tokyo
University of Pennsylvania
Universitat de València
CareConnex
Dipartimento di Diagnostica per Immagini
Max Planck Institute for Biology of Ageing (MPI-AGE)
Stavanger University Hospital
University College London
University of Connecticut Medical School
University of Greenwich
University of Westminster
Wake Forest University School of Medicine
National Institute on Aging (NIA)
University of Warwick
University of Southern Denmark
Texas A&M University
World Public Health Nutrition Association
Humanity Inc
Imperial College London
University of Liverpool
Liverpool Hope University
University of Wisconsin-Madison
University of Northumbria Newcastle
Karl-Franzens-Universität Graz
National University of Singapore
Edith Cowan University
Lobachevsky State University of Nizhny Novgorod
University of Glasgow
King's College London
McMaster University
Department of Sport and Exercise Sciences, Institute of Sport, Manchester Metropolitan University, Manchester, UK
University of Strathclyde
Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism (WISDEM), University Hospitals Coventry and Warwickshire NHS Trust, Coventry CV2 2DX, UK; Human Metabolism Research Unit, WISDEM Centre, NHS Trust, Coventry CV2 2DX, UK; Division of Translational and Experimental Medicine-Metabolic and Vascular Health, Warwick Medical School, University of Warwick, Coventry CV4 7AL, UK
Deakin University
Departament de Bioquímica i Biotecnologia
University of Jyväskylä
University of Auckland
Trent University
Independent Researcher
German Institute of Human Nutrition Potsdam-Rehbrücke (DIfE)
University of East Anglia
University of Birmingham
Aberystwyth University
Institute of Zoology Chinese Academy of Sciences
University of Nicosia, Cyprus

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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 language	English
Article number	glae297
Number of pages	12
Journal	Journals of Gerontology: Series A
Volume	80
Issue number	5
Early online date	21 Dec 2024
DOIs	https://doi.org/10.1093/gerona/glae297
Publication status	Published - 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.

Funding

This work was supported by the UK Research and Innovation (UKRI) funded AGEing and Nutrient Sensing (AGENTS) Network, UKRI’s Biotechnology and Biological Sciences Research Council (BBSRC), and the Medical Research Council (MRC). The study team (GP, CF, EP, VIK, OMS) was brought together to generate the study ideas by the meetings hosted by the same network.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Consensus
Delphi method
Longevity

Access to Document

10.1093/gerona/glae297Licence: CC BY 4.0

An expert consensus statement on biomarkers of ageing for use in intervention studies
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.
Final published version, 1.23 MBLicence: CC BY 4.0

Cite this

Perri, G., French, C., Agostinis-Sobrinho, C., Anand, A., Antarianto, R. D., Arai, Y., Baur, J. A., Cauli, O., Clivaz-Duc, M., Colloca, G., Demetriades, C., de Lucia, C., Di Gessa, G., Diniz, B. S., Dotchin, C. L., Eaglestone, G., Elliott, B. T., Espeland, M. A., Ferrucci, L., ... Shannon, O. M. (2025). An Expert Consensus Statement on Biomarkers of Aging for Use in Intervention Studies. Journals of Gerontology: Series A, 80(5), Article glae297. https://doi.org/10.1093/gerona/glae297

@article{3325722d937e406da052c26f25c75056,

title = "An Expert Consensus Statement on Biomarkers of Aging for Use in Intervention Studies",

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",

author = "Giorgia Perri and Chloe French and C{\'e}sar Agostinis-Sobrinho and Atul Anand and Antarianto, \{Radiana Dhewayani\} and Yasumichi Arai and Baur, \{Joseph A\} and Omar Cauli and Morgane Clivaz-Duc and Giuseppe Colloca and Constantinos Demetriades and \{de Lucia\}, Chiara and \{Di Gessa\}, Giorgio and Diniz, \{Breno S\} and Dotchin, \{Catherine L\} and Gillian Eaglestone and Elliott, \{Bradley T\} and Espeland, \{Mark A\} and Luigi Ferrucci and James Fisher and Grammatopoulos, \{Dimitris K\} and Hardiany, \{Novi S\} and Zaki Hassan-Smith and Hastings, \{Waylon J\} and Swati Jain and Joshi, \{Peter K\} and Theodora Katsila and Kemp, \{Graham J\} and Khaiyat, \{Omid A\} and Lamming, \{Dudley W\} and Gallegos, \{Jose Lara\} and Frank Madeo and Maier, \{Andrea B\} and Carmen Martin-Ruiz and Martins, \{Ian J\} and Mathers, \{John C\} and Mattin, \{Lewis R\} and Merchant, \{Reshma A\} and Alexey Moskalev and Ognian Neytchev and \{Ni Lochlainn\}, Mary and Owen, \{Claire M\} and Phillips, \{Stuart M\} and Jedd Pratt and Konstantinos Prokopidis and Rattray, \{Nicholas J W\} and Mar{\'i}a R{\'u}a-Alonso and Lutz Schomburg and David Scott and Sangeetha Shyam and Elina Sillanp{\"a}{\"a} and Tan, \{Michelle M C\} and Ruth Teh and Tobin, \{Stephanie W\} and Vila-Ch{\~a}, \{Carolina J\} and Luigi Vorluni and Daniela Weber and Ailsa Welch and Daisy Wilson and Thomas Wilson and Tongbiao Zhao and Elena Philippou and Korolchuk, \{Viktor I\} and Shannon, \{Oliver M\}",

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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 2025, 'An Expert Consensus Statement on Biomarkers of Aging for Use in Intervention Studies', Journals of Gerontology: Series A, vol. 80, no. 5, glae297. https://doi.org/10.1093/gerona/glae297

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AU - French, Chloe

AU - Agostinis-Sobrinho, César

AU - Anand, Atul

AU - Antarianto, Radiana Dhewayani

AU - Arai, Yasumichi

AU - Baur, Joseph A

AU - Cauli, Omar

AU - Clivaz-Duc, Morgane

AU - Colloca, Giuseppe

AU - Demetriades, Constantinos

AU - de Lucia, Chiara

AU - Di Gessa, Giorgio

AU - Diniz, Breno S

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AU - Eaglestone, Gillian

AU - Elliott, Bradley T

AU - Espeland, Mark A

AU - Ferrucci, Luigi

AU - Fisher, James

AU - Grammatopoulos, Dimitris K

AU - Hardiany, Novi S

AU - Hassan-Smith, Zaki

AU - Hastings, Waylon J

AU - Jain, Swati

AU - Joshi, Peter K

AU - Katsila, Theodora

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AU - Khaiyat, Omid A

AU - Lamming, Dudley W

AU - Gallegos, Jose Lara

AU - Madeo, Frank

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AU - Martin-Ruiz, Carmen

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AU - Weber, Daniela

AU - Welch, Ailsa

AU - Wilson, Daisy

AU - Wilson, Thomas

AU - Zhao, Tongbiao

AU - Philippou, Elena

AU - Korolchuk, Viktor I

AU - Shannon, Oliver M

N1 - 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.

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N2 - 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.

AB - 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.

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KW - Delphi method

KW - Longevity

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M1 - glae297

ER -

An Expert Consensus Statement on Biomarkers of Aging for Use in Intervention Studies

Abstract

Bibliographical note

Funding

UN SDGs

Keywords

Access to Document

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