ArticleAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference2025
Sex and Age-Related Changes in Lean Mass of C57BL/6 Mice: A New Method for Assessing Body Composition.
Article in Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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.
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Who cites it
1 citing paper in PubMed.
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Authors and funding
3 authors.
Funding
Abstract
More than 40% of adults aged 65 and older have one or more physical disabilities that hinder their ability to perform essential daily tasks, significantly impacting their independence and quality of life. This study examines age-related changes in body composition in C57BL/6 mice to explore the relationship between lean mass, total mass, and age-related weakness. Using the EchoMRI-500 body composition analyzer, we measured lean mass and correlated it with independently measured total mass across different age groups (young, middle aged, and old) and sexes (male and female). Our results show that both lean and total mass increase progressively with age in both sexes. However, the lean-to-total mass ratio declines with age, reflecting the reduction in lean mass observed in humans. Additionally, male mice were consistently more muscular than female mice in old age. Specifically, the lean-to-total mass ratios were 0.525 for male mice and 0.203 for female mice. These data provide a simple yet accurate approach for estimating lean mass from total mass, offering a valuable tool for studying age-related weakness.
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