<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Marcozzi S</submitter><funding>Ministero della Salute</funding><funding>Fondazione Cariplo</funding><pagination>2195-2211</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10651584</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>45(4)</volume><pubmed_abstract>Frailty is an age-related condition characterized by a multisystem functional decline, increased vulnerability to stressors, and adverse health outcomes. Quantifying the degree of frailty in humans and animals is a health measure useful for translational geroscience research. Two frailty measurements, namely the frailty phenotype (FP) and the clinical frailty index (CFI), have been validated in mice and are frequently applied in preclinical research. However, these two tools are based on different concepts and do not necessarily identify the same mice as frail. In particular, the FP is based on a dichotomous classification that suffers from high sample size requirements and misclassification problems. Based on the monthly longitudinal non-invasive assessment of frailty in a large cohort of</pubmed_abstract><journal>GeroScience</journal><pubmed_title>Comprehensive longitudinal non-invasive quantification of healthspan and frailty in a large cohort (n = 546) of geriatric C57BL/6 J mice.</pubmed_title><pmcid>PMC10651584</pmcid><funding_grant_id>2016-1006</funding_grant_id><funding_grant_id>Ricerca Corrente</funding_grant_id><funding_grant_id>RCR-2019-23669121</funding_grant_id><pubmed_authors>Brunetti D</pubmed_authors><pubmed_authors>Segala A</pubmed_authors><pubmed_authors>Gaetano C</pubmed_authors><pubmed_authors>Mongelli A</pubmed_authors><pubmed_authors>Puca A</pubmed_authors><pubmed_authors>Boschi F</pubmed_authors><pubmed_authors>Giuliani ME</pubmed_authors><pubmed_authors>Orlando F</pubmed_authors><pubmed_authors>Nisoli E</pubmed_authors><pubmed_authors>Piacenza F</pubmed_authors><pubmed_authors>Valerio A</pubmed_authors><pubmed_authors>Provinciali M</pubmed_authors><pubmed_authors>Bigossi G</pubmed_authors><pubmed_authors>Giacconi R</pubmed_authors><pubmed_authors>Cardelli M</pubmed_authors><pubmed_authors>Lattanzio F</pubmed_authors><pubmed_authors>Malavolta M</pubmed_authors><pubmed_authors>Marcozzi S</pubmed_authors></additional><is_claimable>false</is_claimable><name>Comprehensive longitudinal non-invasive quantification of healthspan and frailty in a large cohort (n = 546) of geriatric C57BL/6 J mice.</name><description>Frailty is an age-related condition characterized by a multisystem functional decline, increased vulnerability to stressors, and adverse health outcomes. Quantifying the degree of frailty in humans and animals is a health measure useful for translational geroscience research. Two frailty measurements, namely the frailty phenotype (FP) and the clinical frailty index (CFI), have been validated in mice and are frequently applied in preclinical research. However, these two tools are based on different concepts and do not necessarily identify the same mice as frail. In particular, the FP is based on a dichotomous classification that suffers from high sample size requirements and misclassification problems. Based on the monthly longitudinal non-invasive assessment of frailty in a large cohort of</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Aug</publication><modification>2025-04-19T16:15:22.396Z</modification><creation>2025-04-19T16:15:22.396Z</creation></dates><accession>S-EPMC10651584</accession><cross_references><pubmed>36702990</pubmed><doi>10.1007/s11357-023-00737-1</doi></cross_references></HashMap>