Imaging proteomics for diagnosis, monitoring and prediction of Alzheimer's disease.

ABSTRACT: Proteomic and imaging markers have been widely studied as potential biomarkers for diagnosis, monitoring and prognosis of Alzheimer's disease. In this study, we used Alzheimer Disease Neuroimaging Initiative dataset and performed parallel independent component analysis on cross sectional and longitudinal proteomic and imaging data in order to identify the best proteomic model for diagnosis, monitoring and prediction of Alzheimer disease (AD). We used plasma proteins measurement and imaging data from AD and healthy controls (HC) at the baseline and 1 year follow-up. Group comparisons at baseline and changes over 1 year were calculated for proteomic and imaging data. The results were fed into parallel independent component analysis in order to identify proteins that were associated with stru

SUBMITTER: Nazeri A 

PROVIDER: S-EPMC6581536 | biostudies-literature | 2014 Nov

REPOSITORIES: biostudies-literature