Nutritional Intake and Gut Microbiome Composition Predict Parkinson's Disease.

ABSTRACT:

Background

Models to predict Parkinson's disease (PD) incorporating alterations of gut microbiome (GM) composition have been reported with varying success.

Objective

To assess the utility of GM compositional changes combined with macronutrient intake to develop a predictive model of PD.

Methods

We performed a cross-sectional analysis of the GM and nutritional intake in 103 PD patients and 81 household controls (HCs). GM composition was determined by 16S amplicon sequencing of the V3-V4 region of bacterial ribosomal DNA isolated from stool. To determine multivariate disease-discriminant associations, we developed two models using Random Forest and support-vector machine (SVM) methodologies.

Results

Using updated taxonomic reference, we identified significant com

SUBMITTER: Lubomski M 

PROVIDER: S-EPMC9131011 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature