Evidence map›Paper›PMID 33211821›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2021

Study of Longitudinal Aging in Mice: Presentation of Experimental Techniques.

Dushani L Palliyaguru, Camila Vieira Ligo Teixeira, Eleonora Duregon, Clara di Germanio, Irene Alfaras, Sarah J Mitchell, Ignacio Navas-Enamorado, Eric J Shiroma, Stephanie Studenski, Michel Bernier and 4 more

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
–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

40 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Longitudinal Decline of Exercise Capacity in Male and Female Mice.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Animal Models Relevant for Geroscience: Current Trends and Future Perspectives in Biomarkers, and Measures of Biological Aging.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Review
  16. Quantifying the Impact of Co-Housing on Murine Aging Studies.bioRxiv : the preprint server for biology · 2024
    Article
  17. Longitudinal Decline of Exercise Capacity in Male and Female Mice.bioRxiv : the preprint server for biology · 2024
    Article
  18. Review
  19. Article
  20. 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

14 authors.

Dushani L PalliyaguruTranslational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Camila Vieira Ligo TeixeiraTranslational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Eleonora DuregonTranslational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Clara di GermanioTranslational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Irene AlfarasTranslational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Sarah J MitchellTranslational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Ignacio Navas-EnamoradoTranslational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Eric J ShiromaLaboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Stephanie StudenskiTranslational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Michel BernierTranslational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Simonetta CamandolaTranslational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Nathan L PriceDepartment of Comparative Medicine, Yale University, New Haven, Connecticut, USA.
Luigi FerrucciTranslational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Rafael de CaboTranslational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.

Funding

Aging Intervention ProgramZIAAG000363 · NIA · NATIONAL INSTITUTE ON AGING · PI DE CABO, RAFAEL · 2009 to 2025
$9.0M
Study of Longitudinal Aging in MiceZIAAG000335 · NIA · NATIONAL INSTITUTE ON AGING · PI DE CABO, RAFAEL · 2017 to 2025
$5.0M
6 · The paper itself

Abstract

Aging is associated with functional and metabolic decline and is a risk factor for all noncommunicable diseases. Even though mice are routinely used for modeling human aging and aging-related conditions, no comprehensive assessment to date has been conducted on normative mouse aging. To address this gap, the Study of Longitudinal Aging in Mice (SLAM) was designed and implemented by the National Institute on Aging (NIA/NIH) as the mouse counterpart to the Baltimore Longitudinal Study of Aging (BLSA). In this manuscript, we describe the premise, study design, methodologies, and technologies currently employed in SLAM. We also discuss current and future study directions. In this large population mouse study, inbred C57BL/6J and outbred UM-HET3 mice of both sexes are longitudinally evaluated for functional, phenotypic, and biological health, and collection of biospecimens is conducted throughout their life span. Within the longitudinal cohorts, a cross-sectional arm of the study has also been implemented for the well-controlled collection of tissues to generate a biorepository. SLAM and studies stemming from SLAM seek to identify and characterize phenotypic and biological predictors of mouse aging and age-associated conditions, examine the degrees of functional and biomolecular variability that occur within inbred and genetically heterogeneous mouse populations with age, and assess whether these changes are consistent with alterations observed in human aging in BLSA. The findings from these studies will be critical for evaluating the utility of mouse models for studying different aspects of aging, both in terms of interpreting prior findings and designing and implementing future studies.

Indexed as

Models, AnimalAgingAnimalsBiological Variation, PopulationBiomarkersBiotechnologyGenetic VariationHumansLife ExpectancyLongevityLongitudinal StudiesMiceMice, Inbred StrainsPhysical Functional PerformanceProcedures and Techniques UtilizationResearch DesignBiomarkersAgingBiomarkersLongitudinalMicePreclinical

Identifiers

PMID33211821
PMCPMC8011709

What OpenQuestion holds

Textmetadata
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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.