Machine learning of plasma metabolome identifies biomarker panels for metabolic syndrome: findings from the China Suboptimal Health Cohort

BACKGROUND: Metabolic syndrome (MetS) has been proposed as a clinically identifiable high-risk state for the prediction and prevention of cardiovascular diseases and type 2 diabetes mellitus. As a promising “omics” technology, metabolomics provides an innovative strategy to gain a deeper understandi...

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Detalles Bibliográficos
Autores principales: Wang, Hao, Wang, Youxin, Li, Xingang, Deng, Xuan, Kong, Yuanyuan, Wang, Wei, Zhou, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9789589/
https://www.ncbi.nlm.nih.gov/pubmed/36564831
http://dx.doi.org/10.1186/s12933-022-01716-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9789589/
https://www.ncbi.nlm.nih.gov/pubmed/36564831
http://dx.doi.org/10.1186/s12933-022-01716-0

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