Evidence map›Paper›PMID 41549098›Full record

ArticleNature communications2026

Longitudinal analysis of body weight reveals homeostatic and adaptive traits linked to lifespan in diversity outbred mice.

G V Prateek, Zhenghao Chen, Kevin Wright, Andrea Di Francesco, Vladimir Jojic, Gary A Churchill, Anil Raj

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Machine vision based frailty assessment for genetically diverse mice.bioRxiv : the preprint server for biology · 2024
    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

7 authors.

G V PrateekCalico Life Sciences LLC, South San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-0356-0607
Zhenghao ChenCalico Life Sciences LLC, South San Francisco, CA, USA.
Kevin WrightCalico Life Sciences LLC, South San Francisco, CA, USA.
Andrea Di FrancescoCalico Life Sciences LLC, South San Francisco, CA, USA.ORCID http://orcid.org/0000-0001-6867-8203
Vladimir JojicCalico Life Sciences LLC, South San Francisco, CA, USA.
Gary A ChurchillThe Jackson Labs, Bar Harbor, ME, USA.ORCID http://orcid.org/0000-0001-9190-9284
Anil RajCalico Life Sciences LLC, South San Francisco, CA, USA. anil@calicolabs.com.ORCID http://orcid.org/0000-0003-4412-0883

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dense temporal measurements of physiological health, using simple and consistent assays, are essential to characterize biological processes associated with aging and evaluate the effectiveness of interventions on these processes. We measured body weight in 960 genetically diverse female mice, every 7-10 days over the full course of their lifespan. We used a state space model to characterize the trajectories of body weight throughout life and derived novel traits capturing the dynamics of body weight, 10 of which were both heritable and associated with lifespan. Genetic mapping of these body weight-derived traits identified 5 genomic loci, none of which were previously mapped to body weight. We observed that the ability to maintain stable body weight, despite fluctuations in energy intake and expenditure, was positively associated with lifespan in an age-dependent manner and mapped to a genomic locus linked to energy homeostasis. Our results highlight how dense longitudinal measurements of physiological phenotypes offer new insights into the biology of aging.

Indexed as

Adaptation, PhysiologicalAgingBody WeightHomeostasisLongevityAnimalsChromosome MappingEnergy MetabolismFemaleLongitudinal StudiesMicePhenotypeQuantitative Trait Loci

Identifiers

PMID41549098
PMCPMC12909300

What OpenQuestion holds

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Registered trials

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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.