Untargeted metabolomics for uncovering biological markers of human skeletal muscle ageing

Ageing compromises skeletal muscle mass and function through poorly defined molecular aetiology. Here we have used untargeted metabolomics using UHPLC-MS to profile muscle tissue from young (n=10, 25±4y), middle aged (n=18, 50±4y) and older (n=18, 70±3y) men and women (50:50). Random Forest was used...

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Detalles Bibliográficos
Autores principales: Wilkinson, Daniel J., Rodriguez-Blanco, Giovanny, Dunn, Warwick B., Phillips, Bethan E., Williams, John P., Greenhaff, Paul L., Smith, Kenneth, Gallagher, Iain J., Atherton, Philip J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2020
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377844/
https://www.ncbi.nlm.nih.gov/pubmed/32580166
http://dx.doi.org/10.18632/aging.103513

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377844/
https://www.ncbi.nlm.nih.gov/pubmed/32580166
http://dx.doi.org/10.18632/aging.103513

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