Evidence map›Paper›PMID 39671481›Full record

ArticleScience advances2024

Computational and digital analyses in the INSPIRE mouse cohort to define sex-specific functional determinants of biological aging.

Yohan Santin, Mattia Chiesa, Amélie Alfonso, Yosra Doghri, Ryeonshi Kang, Fraha Haidar, Pilar Oreja-Fuentes, Occiane Fousset, Rana Zahreddine, Mégane Guardia and 11 more

Abstract read
In one paragraph

Article in Science advances, 2024. 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. Review
  2. Review
  3. Review
  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

21 authors.

Yohan SantinInstitut Hospitalo-Universitaire (IHU) HealthAge, Toulouse, France.ORCID 0000-0002-9229-1161
Mattia ChiesaBioinformatics and Artificial Intelligence Facility, Centro Cardiologico Monzino IRCCS, Milan, Italy.ORCID 0000-0001-7427-9954
Amélie AlfonsoResearch Center on Animal Cognition (CRCA), Center of Integrative Biology (CBI), CNRS, University of Toulouse, UPS, Toulouse, France.ORCID 0009-0005-8091-4121
Yosra DoghriInstitute of Metabolic and Cardiovascular Diseases (I2MC), INSERM, University of Toulouse, UPS, Toulouse, France.
Ryeonshi KangInstitute of Metabolic and Cardiovascular Diseases (I2MC), INSERM, University of Toulouse, UPS, Toulouse, France.ORCID 0000-0001-5709-128X
Fraha HaidarInstitute of Metabolic and Cardiovascular Diseases (I2MC), INSERM, University of Toulouse, UPS, Toulouse, France.ORCID 0009-0004-6697-8690
Pilar Oreja-FuentesInstitute of Metabolic and Cardiovascular Diseases (I2MC), INSERM, University of Toulouse, UPS, Toulouse, France.
Occiane FoussetResearch Center on Animal Cognition (CRCA), Center of Integrative Biology (CBI), CNRS, University of Toulouse, UPS, Toulouse, France.ORCID 0009-0007-8345-5498
Rana ZahreddineInstitute of Metabolic and Cardiovascular Diseases (I2MC), INSERM, University of Toulouse, UPS, Toulouse, France.ORCID 0000-0003-1291-6879
Mégane GuardiaInstitute of Metabolic and Cardiovascular Diseases (I2MC), INSERM, University of Toulouse, UPS, Toulouse, France.ORCID 0009-0001-5072-3990
Lucas LemmelInstitute of Metabolic and Cardiovascular Diseases (I2MC), INSERM, University of Toulouse, UPS, Toulouse, France.
Mara RigamontiTecniplast S.p.A., Buguggiate, Italy.ORCID 0000-0002-3913-4458
Giorgio RosatiTecniplast S.p.A., Buguggiate, Italy.ORCID 0009-0006-0582-9450
Cédrick FlorianResearch Center on Animal Cognition (CRCA), Center of Integrative Biology (CBI), CNRS, University of Toulouse, UPS, Toulouse, France.ORCID 0000-0001-5634-7992
Sébastien GauzinResearch Center on Animal Cognition (CRCA), Center of Integrative Biology (CBI), CNRS, University of Toulouse, UPS, Toulouse, France.ORCID 0000-0002-1709-7780
Sophie GuyonnetInstitut Hospitalo-Universitaire (IHU) HealthAge, Toulouse, France.
Yves RollandInstitut Hospitalo-Universitaire (IHU) HealthAge, Toulouse, France.ORCID 0009-0003-9486-9144
Philipe de Souto BarretoInstitut Hospitalo-Universitaire (IHU) HealthAge, Toulouse, France.ORCID 0000-0002-8860-425X
Bruno VellasInstitut Hospitalo-Universitaire (IHU) HealthAge, Toulouse, France.
Bruno GuiardInstitut Hospitalo-Universitaire (IHU) HealthAge, Toulouse, France.
Angelo PariniInstitut Hospitalo-Universitaire (IHU) HealthAge, Toulouse, France.ORCID 0000-0002-9848-8838

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological age, which reflects the physiological state of an individual, offers a better predictive value than chronological age for age-related diseases and mortality. Nonetheless, determining accurate functional features of biological age remains challenging due to the multifactorial nature of aging. Here, we established a unique mouse cohort comprising 1576 male and female outbred SWISS mice subjected or not to high-fat, high-sucrose diet to investigate multiorgan/system biological aging throughout adulthood. Comprehensive functional and biological phenotyping at ages of 6, 12, 18, and 24 months revealed notable sex-specific disparities in longitudinal locomotion patterns and multifunctional aging parameters. Topological data analysis enabled the identification of functionally similar mouse clusters irrespective of chronological age. Moreover, our study pinpointed critical functional markers of biological aging such as muscle function, anxiety characteristics, urinary patterns, reticulocyte maturation, cardiac remodeling and function, and metabolic alterations, underscoring muscle function as an early indicator of biological age in male mice.

Indexed as

AgingAnimalsComputational BiologyDiet, High-FatFemaleMaleMicePhenotypeSex CharacteristicsSex Factors

Identifiers

PMID39671481
PMCPMC11641001

What OpenQuestion holds

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LicenceCC BY-NC
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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.