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...

Descripción completa

Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
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

Internet

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

Ejemplares similares