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Associations between PBMC whole genome transcriptome, muscle strength, muscle mass, and physical performance in healthy home-dwelling older women

Increasing age is accompanied by many changes, including declining functional skeletal muscle health and immune dysfunction. Peripheral blood mononuclear cells (PBMCs) are circulating cells that assemble an immune response, but their whole genome transcriptome has not been studied in the context of...

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Autores principales: de Sousa, Ana R. S., Ottestad, Inger, Gjevestad, Gyrd O., Holven, Kirsten B., Ulven, Stine M., Christensen, Jacob J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10643614/
https://www.ncbi.nlm.nih.gov/pubmed/37204640
http://dx.doi.org/10.1007/s11357-023-00819-0
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author de Sousa, Ana R. S.
Ottestad, Inger
Gjevestad, Gyrd O.
Holven, Kirsten B.
Ulven, Stine M.
Christensen, Jacob J.
author_facet de Sousa, Ana R. S.
Ottestad, Inger
Gjevestad, Gyrd O.
Holven, Kirsten B.
Ulven, Stine M.
Christensen, Jacob J.
author_sort de Sousa, Ana R. S.
collection PubMed
description Increasing age is accompanied by many changes, including declining functional skeletal muscle health and immune dysfunction. Peripheral blood mononuclear cells (PBMCs) are circulating cells that assemble an immune response, but their whole genome transcriptome has not been studied in the context of age-related muscle health. Consequently, this article explored associations between three muscle variables indicative of functional muscle health — maximum handgrip strength (muscle strength), appendicular skeletal muscle mass index (ASMI, muscle mass), and gait speed (physical performance) — and two groups of bioinformatics-generated PBMC gene expression features (gene expression–estimated leukocyte subset proportions and gene clusters). We analyzed cross-sectional data from 95 home-dwelling healthy women ≥ 70 years, using “cell-type identification by estimating relative subsets of RNA transcripts” (CIBERSORT) to estimate leukocyte subset proportions and “weighted correlation network analysis” (WGCNA) to generate gene clusters. Associations were studied using linear regression models and relevant gene clusters were subjected to gene set enrichment analysis using gene ontology. Gait speed and ASMI associated with CIBERSORT-estimated monocyte proportions (β =  − 0.090, 95% CI = (− 0.146, − 0.034), p-value = 0.002 for gait speed, and β =  − 0.206, 95% CI = (− 0.385, − 0.028), p-value = 0.024 for ASMI), and gait speed associated with CIBERSORT-estimated M2 macrophage proportions (β =  − 0.026, 95% CI = (− 0.043, − 0.008), p-value = 0.004). Furthermore, maximum handgrip strength associated with nine WGCNA gene clusters, enriched in processes related to immune function and skeletal muscle cells (β in the range − 0.007 to 0.008, p-values < 0.05). These results illustrate interactions between skeletal muscle and the immune system, supporting the notion that age-related functional muscle health and the immune system are closely linked. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11357-023-00819-0.
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spelling pubmed-106436142023-11-15 Associations between PBMC whole genome transcriptome, muscle strength, muscle mass, and physical performance in healthy home-dwelling older women de Sousa, Ana R. S. Ottestad, Inger Gjevestad, Gyrd O. Holven, Kirsten B. Ulven, Stine M. Christensen, Jacob J. GeroScience Original Article Increasing age is accompanied by many changes, including declining functional skeletal muscle health and immune dysfunction. Peripheral blood mononuclear cells (PBMCs) are circulating cells that assemble an immune response, but their whole genome transcriptome has not been studied in the context of age-related muscle health. Consequently, this article explored associations between three muscle variables indicative of functional muscle health — maximum handgrip strength (muscle strength), appendicular skeletal muscle mass index (ASMI, muscle mass), and gait speed (physical performance) — and two groups of bioinformatics-generated PBMC gene expression features (gene expression–estimated leukocyte subset proportions and gene clusters). We analyzed cross-sectional data from 95 home-dwelling healthy women ≥ 70 years, using “cell-type identification by estimating relative subsets of RNA transcripts” (CIBERSORT) to estimate leukocyte subset proportions and “weighted correlation network analysis” (WGCNA) to generate gene clusters. Associations were studied using linear regression models and relevant gene clusters were subjected to gene set enrichment analysis using gene ontology. Gait speed and ASMI associated with CIBERSORT-estimated monocyte proportions (β =  − 0.090, 95% CI = (− 0.146, − 0.034), p-value = 0.002 for gait speed, and β =  − 0.206, 95% CI = (− 0.385, − 0.028), p-value = 0.024 for ASMI), and gait speed associated with CIBERSORT-estimated M2 macrophage proportions (β =  − 0.026, 95% CI = (− 0.043, − 0.008), p-value = 0.004). Furthermore, maximum handgrip strength associated with nine WGCNA gene clusters, enriched in processes related to immune function and skeletal muscle cells (β in the range − 0.007 to 0.008, p-values < 0.05). These results illustrate interactions between skeletal muscle and the immune system, supporting the notion that age-related functional muscle health and the immune system are closely linked. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11357-023-00819-0. Springer International Publishing 2023-05-19 /pmc/articles/PMC10643614/ /pubmed/37204640 http://dx.doi.org/10.1007/s11357-023-00819-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
de Sousa, Ana R. S.
Ottestad, Inger
Gjevestad, Gyrd O.
Holven, Kirsten B.
Ulven, Stine M.
Christensen, Jacob J.
Associations between PBMC whole genome transcriptome, muscle strength, muscle mass, and physical performance in healthy home-dwelling older women
title Associations between PBMC whole genome transcriptome, muscle strength, muscle mass, and physical performance in healthy home-dwelling older women
title_full Associations between PBMC whole genome transcriptome, muscle strength, muscle mass, and physical performance in healthy home-dwelling older women
title_fullStr Associations between PBMC whole genome transcriptome, muscle strength, muscle mass, and physical performance in healthy home-dwelling older women
title_full_unstemmed Associations between PBMC whole genome transcriptome, muscle strength, muscle mass, and physical performance in healthy home-dwelling older women
title_short Associations between PBMC whole genome transcriptome, muscle strength, muscle mass, and physical performance in healthy home-dwelling older women
title_sort associations between pbmc whole genome transcriptome, muscle strength, muscle mass, and physical performance in healthy home-dwelling older women
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10643614/
https://www.ncbi.nlm.nih.gov/pubmed/37204640
http://dx.doi.org/10.1007/s11357-023-00819-0
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