Evidence map›Paper›PMID 41135099›Full record

ArticleAging and disease2025

The Ability of Activity and Cognition in Old Mice to Predict Age of Death.

Sreemathi Logan, Kavitha Kurup, Michael Chan, Michelle Ranjo-Bishop, Anthony Masingale, Daniel Owen, William E Sonntag, Arlan Richardson, Archana Unnikrishnan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Aging and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Sreemathi LoganDepartment of Biochemistry & Physiology, The University of Oklahoma Health Campus, Oklahoma, OK 73104, USA.
Kavitha KurupDepartment of Biochemistry & Physiology, The University of Oklahoma Health Campus, Oklahoma, OK 73104, USA.
Michael ChanDepartment of Biochemistry & Physiology, The University of Oklahoma Health Campus, Oklahoma, OK 73104, USA.
Michelle Ranjo-BishopDepartment of Biochemistry & Physiology, The University of Oklahoma Health Campus, Oklahoma, OK 73104, USA.
Anthony MasingaleDepartment of Biochemistry & Physiology, The University of Oklahoma Health Campus, Oklahoma, OK 73104, USA.
Daniel OwenDepartment of Biochemistry & Physiology, The University of Oklahoma Health Campus, Oklahoma, OK 73104, USA.
William E SonntagDepartment of Biochemistry & Physiology, The University of Oklahoma Health Campus, Oklahoma, OK 73104, USA.
Arlan RichardsonDepartment of Biochemistry & Physiology, The University of Oklahoma Health Campus, Oklahoma, OK 73104, USA.
Archana UnnikrishnanDepartment of Biochemistry & Physiology, The University of Oklahoma Health Campus, Oklahoma, OK 73104, USA.

Funding

Visualizing insulin actions on neuronal metabolism and function using fluorescent biosensorsP20GM125528 · NIGMS · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI David M Sherry · 2019 to 2026
$17.8M
TESTING THE ABILITY OF NOVEL ASSAYS OF RESILIENCE TO PREDICT LIFESPANR01AG057424 · NIA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI RICHARDSON, ARLAN G., SONNTAG, WILLIAM EDMUND · 2017 to 2021
$2.0M
Metabolic determinants of reactive astrogliosis and cognitive heterogeneity in agingR01AG085398 · NIA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Sreemathi Logan · 2024 to 2026
$1.3M
IGF-1 Regulation of Astrocyte Mitochondrial Metabolism and Redox Homeostasis in Brain AgingR00AG056662 · NIA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI LOGAN, SREEMATHI · 2020 to 2022
$996k
Role of DNA Methylation in Dietary Restriction mediated insulin sensitivityK01AG056655 · NIA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI UNNIKRISHNAN, ARCHANA · 2018 to 2022
$653k
BLRD VA IK6 BX005238NIA NIH HHS K01 AG056655NIA NIH HHS R00 AG056662NIA NIH HHS R01 AG057424NIA NIH HHS R01 AG085398NIGMS NIH HHS P20 GM125528
6 · The paper itself

Abstract

The goal of this study was to determine if measures of healthspan, which have been shown to decline with age, are associated with and predict mortality. We measured voluntary running activity, spontaneous activity, and cognition in male and female C57BL/6 mice at 26- to 28-months of age followed by analysis of the survival of each mouse. Voluntary running activity was positively associated with age at death in both male and female mice; however, only 14 to 21% of the variance in lifespan was explained by running wheel performance. In contrast, cognitive parameters assessed during a working memory paradigm were not predictive of lifespan, despite a negative correlation with day-time activity, suggesting an important relationship between quality of sleep and cognition. Finally, using a multiple regression model to identify the best predictors of longevity we found that a combination of various independent variables of activity and cognition predicted 55% and 21% of the lifespan of female and male mice, respectively. These data highlight the importance of movement parameters and day-time activity in mice that influence healthspan and lifespan.

Indexed as

AgingCognitionLongevityMotor ActivityAnimalsFemaleMaleMiceMice, Inbred C57BL

Identifiers

PMID41135099
PMCPMC13653727

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.