Associations Between Frailty and Cognitive Outcomes Across the Lifespan of Mice

preprint OA: closed
📄 Open PDF Full text JSON View at publisher

Abstract

Advancements in monitoring biological and brain aging with precise measures of health and longevity have the potential to accelerate research on pharmacological, genetic, and aging-related interventions. Over the past decade, frailty index has been used as an assessment tool for rodents, evaluating more than 30 non-invasive parameters that are strongly associated with chronological age, correlated with mortality, and sensitive to lifespan-altering interventions. However, whether aging phenotypes captured by the frailty index reflect brain aging remains unclear. In this study, we examined the relationship between frailty index and cognitive ability in young (3–4 months), middle-aged (12 months), and old (24 months) male and female C57BL/6J mice using a battery of behavioral and locomotor assays to determine whether frailty index scores can predict performance in tasks evaluating behavioral and cognitive function. Among the behavioral assays tested, frailty index scores had good correlation with the percentage of time spent in the center of the open-field apparatus, the duration spent in the open arms of the elevated plus maze, and the time spent in the target hole of the Barnes maze. These findings indicate that the frailty index not only reflects general physiological aging but may also serve as a reliable predictor of age-related cognitive decline in mice, providing a valuable tool for studies of interventions targeting brain aging.
Full text 2,066 characters · extracted from oa-doi-fallback · click to expand
Abstract Advancements in monitoring biological and brain aging with precise measures of health and longevity have the potential to accelerate research on pharmacological, genetic, and aging-related interventions. Over the past decade, frailty index has been used as an assessment tool for rodents, evaluating more than 30 non-invasive parameters that are strongly associated with chronological age, correlated with mortality, and sensitive to lifespan-altering interventions. However, whether aging phenotypes captured by the frailty index reflect brain aging remains unclear. In this study, we examined the relationship between frailty index and cognitive ability in young (3–4 months), middle-aged (12 months), and old (24 months) male and female C57BL/6J mice using a battery of behavioral and locomotor assays to determine whether frailty index scores can predict performance in tasks evaluating behavioral and cognitive function. Among the behavioral assays tested, frailty index scores had good correlation with the percentage of time spent in the center of the open-field apparatus, the duration spent in the open arms of the elevated plus maze, and the time spent in the target hole of the Barnes maze. These findings indicate that the frailty index not only reflects general physiological aging but may also serve as a reliable predictor of age-related cognitive decline in mice, providing a valuable tool for studies of interventions targeting brain aging. Competing Interest Statement The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results. For conflicts related to D.A.S., including his ownership and board membership of Life Biosciences, an epigenetic reprogramming company, see: https://genetics.med.harvard.edu/sinclairtest/people/sinclair-other.php

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00