Cargando…
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...
Autores principales: | Hwangbo, Nathan, Zhang, Xinyu, Raftery, Daniel, Gu, Haiwei, Hu, Shu-Ching, Montine, Thomas J., Quinn, Joseph F., Chung, Kathryn A., Hiller, Amie L., Wang, Dongfang, Fei, Qiang, Bettcher, Lisa, Zabetian, Cyrus P., Peskind, Elaine R., Li, Ge, Promislow, Daniel E. L., Davis, Marie Y., Franks, Alexander |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9029812/ https://www.ncbi.nlm.nih.gov/pubmed/35448464 http://dx.doi.org/10.3390/metabo12040277 |
Ejemplares similares
-
Cerebrospinal Fluid Metabolomics: Pilot Study of Using Metabolomics to Assess Diet and Metabolic Interventions in Alzheimer’s Disease and Mild Cognitive Impairment
por: Hanson, Angela J., et al.
Publicado: (2023) -
Transcriptomic Profiling of Extracellular RNAs Present in Cerebrospinal Fluid Identifies Differentially Expressed Transcripts in Parkinson’s Disease
por: Hossein-nezhad, Arash, et al.
Publicado: (2016) -
Prediction of cognitive progression in Parkinson's disease using three cognitive screening measures
por: Kim, Hojoong M., et al.
Publicado: (2019) -
Multivariate prediction of dementia in Parkinson’s disease
por: Phongpreecha, Thanaphong, et al.
Publicado: (2020) -
Modular Evolution of the Drosophila Metabolome
por: Harrison, Benjamin R, et al.
Publicado: (2021)