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Different phases of aging in mouse old skeletal muscle

With a graying population and increasing longevity, it is essential to identify life transition in later years and discern heterogeneity among older people. Subclassifying the elderly population to inspect the subdivisions for pathophysiological differences is particularly important for the investig...

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Autores principales: Kang, Yong-Kook, Min, Byungkuk, Eom, Jaemin, Park, Jung Sun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8791220/
https://www.ncbi.nlm.nih.gov/pubmed/35017317
http://dx.doi.org/10.18632/aging.203812
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author Kang, Yong-Kook
Min, Byungkuk
Eom, Jaemin
Park, Jung Sun
author_facet Kang, Yong-Kook
Min, Byungkuk
Eom, Jaemin
Park, Jung Sun
author_sort Kang, Yong-Kook
collection PubMed
description With a graying population and increasing longevity, it is essential to identify life transition in later years and discern heterogeneity among older people. Subclassifying the elderly population to inspect the subdivisions for pathophysiological differences is particularly important for the investigation of age-related illnesses. For this purpose, using 24- and 28-month-old mice to represent the “young-old” and “old-old”, respectively, we compared their skeletal muscle transcriptomes and found each in a distinct stage: early/gradual (E-aging) and late/accelerated aging phase (L-aging). Principal component analysis showed that the old-old transcriptomes were largely disengaged from the forward transcriptomic trajectory generated in the younger-aged group, indicating a substantial change in gene expression profiles during L-aging. By calculating the transcriptomic distance, it was found that the 28-month group was closer to the two-month group than to the 24-month group. The divergence rate per month for the transcriptomes was the highest in L-aging, twice as fast as the rate in E-aging. Indeed, many of the L-aging genes were significantly altered in transcription, although the changes did not seem random but rather coordinated in a variety of functional gene sets. Of 2,707 genes transcriptionally altered during E-aging, two-thirds were also significantly changed during L-aging, to either downturning or upturning way. The downturn genes were related to mitochondrial function and translational gene sets, while the upturn genes were linked to inflammation-associated gene sets. Our results provide a transcriptomic muscle signature that distinguishes old-old mice from young-old mice. This can help to methodically examine muscle disorders in the elderly.
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spelling pubmed-87912202022-01-27 Different phases of aging in mouse old skeletal muscle Kang, Yong-Kook Min, Byungkuk Eom, Jaemin Park, Jung Sun Aging (Albany NY) Research Paper With a graying population and increasing longevity, it is essential to identify life transition in later years and discern heterogeneity among older people. Subclassifying the elderly population to inspect the subdivisions for pathophysiological differences is particularly important for the investigation of age-related illnesses. For this purpose, using 24- and 28-month-old mice to represent the “young-old” and “old-old”, respectively, we compared their skeletal muscle transcriptomes and found each in a distinct stage: early/gradual (E-aging) and late/accelerated aging phase (L-aging). Principal component analysis showed that the old-old transcriptomes were largely disengaged from the forward transcriptomic trajectory generated in the younger-aged group, indicating a substantial change in gene expression profiles during L-aging. By calculating the transcriptomic distance, it was found that the 28-month group was closer to the two-month group than to the 24-month group. The divergence rate per month for the transcriptomes was the highest in L-aging, twice as fast as the rate in E-aging. Indeed, many of the L-aging genes were significantly altered in transcription, although the changes did not seem random but rather coordinated in a variety of functional gene sets. Of 2,707 genes transcriptionally altered during E-aging, two-thirds were also significantly changed during L-aging, to either downturning or upturning way. The downturn genes were related to mitochondrial function and translational gene sets, while the upturn genes were linked to inflammation-associated gene sets. Our results provide a transcriptomic muscle signature that distinguishes old-old mice from young-old mice. This can help to methodically examine muscle disorders in the elderly. Impact Journals 2022-01-11 /pmc/articles/PMC8791220/ /pubmed/35017317 http://dx.doi.org/10.18632/aging.203812 Text en Copyright: © 2022 Kang et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Kang, Yong-Kook
Min, Byungkuk
Eom, Jaemin
Park, Jung Sun
Different phases of aging in mouse old skeletal muscle
title Different phases of aging in mouse old skeletal muscle
title_full Different phases of aging in mouse old skeletal muscle
title_fullStr Different phases of aging in mouse old skeletal muscle
title_full_unstemmed Different phases of aging in mouse old skeletal muscle
title_short Different phases of aging in mouse old skeletal muscle
title_sort different phases of aging in mouse old skeletal muscle
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8791220/
https://www.ncbi.nlm.nih.gov/pubmed/35017317
http://dx.doi.org/10.18632/aging.203812
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