<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Perri G</submitter><funding>UKRI's Biotechnology and Biological Sciences Research Council</funding><funding>Medical Research Council</funding><funding>AGEing and Nutrient Sensing</funding><funding>UKRI’s Biotechnology and Biological Sciences Research Council</funding><funding>Biotechnology and Biological Sciences Research Council</funding><pagination>glae297</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11979094</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>80(5)</volume><pubmed_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 pa</pubmed_abstract><journal>The journals of gerontology. Series A, Biological sciences and medical sciences</journal><pubmed_title>An Expert Consensus Statement on Biomarkers of Aging for Use in Intervention Studies.</pubmed_title><pmcid>PMC11979094</pmcid><funding_grant_id>BB/W018381/1</funding_grant_id><pubmed_authors>Martins IJ</pubmed_authors><pubmed_authors>Wilson T</pubmed_authors><pubmed_authors>Prokopidis K</pubmed_authors><pubmed_authors>Dotchin CL</pubmed_authors><pubmed_authors>Espeland MA</pubmed_authors><pubmed_authors>Mattin LR</pubmed_authors><pubmed_authors>Clivaz-Duc M</pubmed_authors><pubmed_authors>de Lucia C</pubmed_authors><pubmed_authors>Eaglestone G</pubmed_authors><pubmed_authors>Tobin SW</pubmed_authors><pubmed_authors>Shannon OM</pubmed_authors><pubmed_authors>Phillips SM</pubmed_authors><pubmed_authors>Katsila T</pubmed_authors><pubmed_authors>Ferrucci L</pubmed_authors><pubmed_authors>Moskalev A</pubmed_authors><pubmed_authors>Baur JA</pubmed_authors><pubmed_authors>Joshi PK</pubmed_authors><pubmed_authors>Sillanpaa E</pubmed_authors><pubmed_authors>Jain S</pubmed_authors><pubmed_authors>Pratt J</pubmed_authors><pubmed_authors>Ni Lochlainn M</pubmed_authors><pubmed_authors>Diniz BS</pubmed_authors><pubmed_authors>Teh R</pubmed_authors><pubmed_authors>Vila-Cha CJ</pubmed_authors><pubmed_authors>Fisher J</pubmed_authors><pubmed_authors>Colloca G</pubmed_authors><pubmed_authors>Tan MMC</pubmed_authors><pubmed_authors>Demetriades C</pubmed_authors><pubmed_authors>Schomburg L</pubmed_authors><pubmed_authors>Mathers JC</pubmed_authors><pubmed_authors>Khaiyat OA</pubmed_authors><pubmed_authors>Hassan-Smith Z</pubmed_authors><pubmed_authors>Maier AB</pubmed_authors><pubmed_authors>Korolchuk VI</pubmed_authors><pubmed_authors>Vorluni L</pubmed_authors><pubmed_authors>Welch A</pubmed_authors><pubmed_authors>Anand A</pubmed_authors><pubmed_authors>Rua-Alonso M</pubmed_authors><pubmed_authors>Scott D</pubmed_authors><pubmed_authors>Merchant RA</pubmed_authors><pubmed_authors>Kemp GJ</pubmed_authors><pubmed_authors>Cauli O</pubmed_authors><pubmed_authors>Lamming DW</pubmed_authors><pubmed_authors>Zhao T</pubmed_authors><pubmed_authors>Neytchev O</pubmed_authors><pubmed_authors>Philippou E</pubmed_authors><pubmed_authors>Rattray NJW</pubmed_authors><pubmed_authors>Di Gessa G</pubmed_authors><pubmed_authors>Martin-Ruiz C</pubmed_authors><pubmed_authors>Perri G</pubmed_authors><pubmed_authors>Hastings WJ</pubmed_authors><pubmed_authors>Owen CM</pubmed_authors><pubmed_authors>Weber D</pubmed_authors><pubmed_authors>Gallegos JL</pubmed_authors><pubmed_authors>Arai Y</pubmed_authors><pubmed_authors>French C</pubmed_authors><pubmed_authors>Antarianto RD</pubmed_authors><pubmed_authors>Wilson D</pubmed_authors><pubmed_authors>Madeo F</pubmed_authors><pubmed_authors>Shyam S</pubmed_authors><pubmed_authors>Agostinis-Sobrinho C</pubmed_authors><pubmed_authors>Hardiany NS</pubmed_authors><pubmed_authors>Grammatopoulos DK</pubmed_authors><pubmed_authors>Elliott BT</pubmed_authors></additional><is_claimable>false</is_claimable><name>An Expert Consensus Statement on Biomarkers of Aging for Use in Intervention Studies.</name><description>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 pa</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Apr</publication><modification>2025-07-06T03:04:29.735Z</modification><creation>2025-07-06T03:04:29.735Z</creation></dates><accession>S-EPMC11979094</accession><cross_references><pubmed>39708300</pubmed><doi>10.1093/gerona/glae297</doi></cross_references></HashMap>