Evidence map›Paper›PMID 36702990›Full record

ArticleGeroScience2023

Comprehensive longitudinal non-invasive quantification of healthspan and frailty in a large cohort (n = 546) of geriatric C57BL/6 J mice.

Serena Marcozzi, Giorgia Bigossi, Maria Elisa Giuliani, Robertina Giacconi, Maurizio Cardelli, Francesco Piacenza, Fiorenza Orlando, Agnese Segala, Alessandra Valerio, Enzo Nisoli and 8 more

Open access · greenAbstract read
In one paragraph

Article in GeroScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.0field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 6 institutions in 1 country.

Serena MarcozziAdvanced Technology Center for Aging Research, IRCCS INRCA, 60121, Ancona, Italy.
Giorgia BigossiAdvanced Technology Center for Aging Research, IRCCS INRCA, 60121, Ancona, Italy.
Maria Elisa GiulianiAdvanced Technology Center for Aging Research, IRCCS INRCA, 60121, Ancona, Italy.
Robertina GiacconiAdvanced Technology Center for Aging Research, IRCCS INRCA, 60121, Ancona, Italy.
Maurizio CardelliAdvanced Technology Center for Aging Research, IRCCS INRCA, 60121, Ancona, Italy.
Francesco PiacenzaAdvanced Technology Center for Aging Research, IRCCS INRCA, 60121, Ancona, Italy.
Fiorenza OrlandoExperimental Animal Models for Aging Unit, Scientific Technological Area, IRCCS INRCA, 60015, Falconara Marittima (AN), Italy.
Agnese SegalaDepartment of Molecular and Translational Medicine, University of Brescia, Viale Europa, 11, 25123, Brescia, Italy.
Alessandra ValerioDepartment of Molecular and Translational Medicine, University of Brescia, Viale Europa, 11, 25123, Brescia, Italy.
Enzo NisoliCenter for Study and Research On Obesity, Department of Medical Biotechnology and Translational Medicine, University of Milan, Via Vanvitelli, 32, 20129, Milan, Italy.
Dario BrunettiMedical Genetics and Neurogenetics Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20126, Milan, Italy.
Annibale PucaDepartment of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, Via Salvatore Allende, 84081, Baronissi, Salerno, Italy.
Federico BoschiDepartment of Computer Science, University of Verona, Strada Le Grazie 15, 37134, Verona, Italy.
Carlo GaetanoLaboratory of Epigenetics, Istituti Clinici Scientifici Maugeri IRCCS, Via Maugeri 10, 27100, Pavia, Italy.
Alessia MongelliLaboratory of Epigenetics, Istituti Clinici Scientifici Maugeri IRCCS, Via Maugeri 10, 27100, Pavia, Italy.
Fabrizia LattanzioScientific Direction, IRCCS INRCA, 60124, Ancona, Italy.
Mauro ProvincialiAdvanced Technology Center for Aging Research, IRCCS INRCA, 60121, Ancona, Italy.
Marco MalavoltaAdvanced Technology Center for Aging Research, IRCCS INRCA, 60121, Ancona, Italy. m.malavolta@inrca.it.ORCID 0000-0002-8442-1763
Istituti di Ricovero e Cura a Carattere Scientifico · ITIstituti Clinici Scientifici Maugeri · ITUniversity of Brescia · ITUniversity of Milan · ITUniversity of Salerno · ITUniversity of Verona · IT

Funding

Fondazione Cariplo 2016-1006Ministero della Salute RCR-2019-23669121Ministero della Salute Ricerca Corrente
6 · The paper itself

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 mice, here we develop an alternative scoring method, which we called physical function score (PFS), proposed as a continuous variable that resumes into a unique function, the five criteria included in the FP. This score would not only reduce misclassification of frailty but it also makes the two tools, PFS and CFI, integrable to provide an overall measurement of health, named vitality score (VS) in aging mice. VS displays a higher association with mortality than PFS or CFI and correlates with biomarkers related to the accumulation of senescent cells and the epigenetic clock. This longitudinal non-invasive assessment strategy and the VS may help to overcome the different sensitivity in frailty identification, reduce the sample size in longitudinal experiments, and establish the effectiveness of therapeutic/preventive interventions for frailty or other age-related diseases in geriatric animals.

Indexed as

FrailtyAgedAgingAnimalsFrail ElderlyGeriatric AssessmentHumansMiceMice, Inbred C57BLBiogerontologyBiomarkers of agingCellular senescenceEpigenetic clockPhysical performance

Identifiers

PMID36702990
PMCPMC10651584
OpenAlexW4318185850

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.