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A machine-learning algorithm integrating baseline serum proteomic signatures predicts exercise responsiveness in overweight males with prediabetes
The molecular transducers conferring the benefits of chronic exercise in diabetes prevention remain to be comprehensively investigated. Herein, serum proteomic profiling of 688 inflammatory and metabolic biomarkers in 36 medication-naive overweight and obese men with prediabetes reveals hundreds of...
Autores principales: | Diaz-Canestro, Candela, Chen, Jiarui, Liu, Yan, Han, Hao, Wang, Yao, Honoré, Eric, Lee, Chi-Ho, Lam, Karen S.L., Tse, Michael Andrew, Xu, Aimin |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9975321/ https://www.ncbi.nlm.nih.gov/pubmed/36787735 http://dx.doi.org/10.1016/j.xcrm.2023.100944 |
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