Evidence map›Paper›PMID 41126207›Full record

ArticleBMC biology2025

Two-phase model of ageing in mice for improved identification of age-related and late life metabolic decline.

Céline Cansell, Vivien Goepp, Fanny Bain, Nicolas Todd, Veronique Douard, Magali Monnoye, Flaminia Zane, Clara Sanchez, Nicolas Pietrancosta, Carole Rovere and 3 more

Abstract read
In one paragraph

Article in BMC biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

13 authors.

Céline CansellAgroParisTech, UMR PNCA, Institut National de la Recherche pour l'Agriculture, l'Alimentation et l'Environnement (INRAE), Université Paris-Saclay, Palaiseau, 91120, France. celine.cansell@inrae.fr.
Vivien GoeppCenter for Computational Biology, Mines Paris PSL, Boulevard Saint Michel, 75017, Paris, France.
Fanny BainUniversité Paris Cité, BFA, UMR 8251, CNRS, Paris, 75013, France.
Nicolas ToddUMR 7206, CNRS, Muséum National d'Histoire Naturelle, Université Paris Cité, Paris, 75016, France.
Veronique DouardUniversité Paris-Saclay, INRAE, AgroParisTech, MICALIS Institute, 78350, Jouy-en-Josas, France.
Magali MonnoyeUniversité Paris-Saclay, INRAE, AgroParisTech, MICALIS Institute, 78350, Jouy-en-Josas, France.
Flaminia ZaneSorbonne Université, 15-21 Rue de L'École de Médecine, 75006, Paris, France.
Clara SanchezUniversité Côte d'Azur, IPMC, CNRS, INSERM, 06560, Valbonne, France.
Nicolas PietrancostaLaboratoire des Biomolécules, LBM, Département de Chimie, École Normale Supérieure, PSL University, CNRS, Sorbonne Université, Paris, 75005, France.
Carole RovereUniversité Côte d'Azur, IPMC, CNRS, INSERM, 06560, Valbonne, France.
Raphaël G P DenisUniversité Paris Cité, BFA, UMR 8251, CNRS, Paris, 75013, France.
Serge LuquetUniversité Paris Cité, BFA, UMR 8251, CNRS, Paris, 75013, France.
Michael ReraUniversité Paris Cité, BFA, UMR 8251, CNRS, Paris, 75013, France.

Funding

ANR ADAGIO ANR-20-CE44-0010
6 · The paper itself

Abstract

Living animals reach their end-of-life through a stereotypic set of fascinating but poorly understood processes. The discovery, first in flies and later in nematodes and zebrafish, of the "Smurf phenotype" has provided a valuable tool to investigate ageing and its associated physiological changes. Using the Smurfs, we have shown an evolutionarily conserved end-of-life transition across Drosophilids, nematodes, and zebrafish. This tool has been key to identify the discontinuous nature of ageing and predict impending death from natural causes as well as from environmental stresses. This phenotype led us to propose a two-phase perspective of ageing: a first phase where individuals are apparently healthy and have low risk of mortality, but show an age-dependent and increasing risk of entering a second phase, marked by more pronounced hallmarks of ageing and a markedly increased risk of death. Here, we test whether these two consecutive phases of ageing separated by the Smurf transition are a conserved feature of ageing in the mammals using Mus musculus as a model. We performed a longitudinal longevity study using both males and females from two different mouse genetic backgrounds and by integrating physiological, metabolic, and molecular measurements with the life history of approximately 150 mice. We show the existence of a phenotypic signature typical of the last phase of life, observable at any chronological age. Validating the two-phase ageing model in a mammalian organism allows better characterization of the high risk of imminent death and would extend its implications to a broader range of species for ageing research. The Stage 1 version of this Registered Report was submitted on 19th January 2022.

Indexed as

AgingLongevityAnimalsFemaleMaleMicePhenotypeAgeingEnd-of-life transitionLongevityLongitudinal studyMetabolic declineMortality riskMus MusculusPhysiologySmurfTwo-phase ageing model

Identifiers

PMID41126207
PMCPMC12542011

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.