Molecular Network Analysis of the Urinary Proteome of Alzheimer's Disease Patients.

ABSTRACT:

Background/aims

The identification of predictive biomarkers for Alzheimer's disease (AD) from urine would aid in screening for the disease, but information about biological and pathophysiological changes in the urine of AD patients is limited. This study aimed to explore the comprehensive profile and molecular network relations of urinary proteins in AD patients.

Methods

Urine samples collected from 18 AD patients and 18 age- and sex-matched cognitively normal controls were analyzed by mass spectrometry and semiquantified with the normalized spectral index method. Bioinformatics analyses were performed on proteins which significantly increased by more than 2-fold or decreased by less than 0.5-fold compared to the control (p < 0.05) using DAVID bioinformatics resources

SUBMITTER: Watanabe Y 

PROVIDER: S-EPMC6477484 | biostudies-literature | 2019 Jan-Apr

REPOSITORIES: biostudies-literature