Predictive Modeling of Alzheimer’s and Parkinson’s Disease Using Metabolomic and Lipidomic Profiles from Cerebrospinal Fluid

In recent years, metabolomics has been used as a powerful tool to better understand the physiology of neurodegenerative diseases and identify potential biomarkers for progression. We used targeted and untargeted aqueous, and lipidomic profiles of the metabolome from human cerebrospinal fluid to buil...

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Detalhes bibliográficos

Principais autores:	Nathan Hwangbo, Xinyu Zhang, Daniel Raftery, Haiwei Gu, Shu-Ching Hu, Thomas J. Montine, Joseph F. Quinn, Kathryn A. Chung, Amie L. Hiller, Dongfang Wang, Qiang Fei, Lisa Bettcher, Cyrus P. Zabetian, Elaine R. Peskind, Ge Li, Daniel E. L. Promislow, Marie Y. Davis, Alexander Franks
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-03-01
Colecção:	Metabolites
Assuntos:	predictive modeling biomarker cerebrospinal fluid cross-sectional study neurodegenerative disease
Acesso em linha:	https://www.mdpi.com/2218-1989/12/4/277
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