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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2020
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Materias: | |
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 |
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