A multivariate predictive modeling approach reveals a novel CSF peptide signature for both Alzheimer's Disease state classification and for predicting future disease progression

To determine if a multi-analyte cerebrospinal fluid (CSF) peptide signature can be used to differentiate Alzheimer’s Disease (AD) and normal aged controls (NL), and to determine if this signature can also predict progression from mild cognitive impairment (MCI) to AD, analysis of CSF samples was don...

Descripción completa

Detalles Bibliográficos
Autores principales: Llano, Daniel A., Bundela, Saurabh, Mudar, Raksha A., Devanarayan, Viswanath
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5542644/
https://www.ncbi.nlm.nih.gov/pubmed/28771542
http://dx.doi.org/10.1371/journal.pone.0182098

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5542644/
https://www.ncbi.nlm.nih.gov/pubmed/28771542
http://dx.doi.org/10.1371/journal.pone.0182098

Ejemplares similares