Identification of enterotype for patients with Alzheimer's disease.

ABSTRACT:

Background

Alzheimer's disease (AD) is a progressive and chronic neurodegenerative disorder of the central nervous system, characterized by behavioral and dysexecutive deficits. Its pathogenesis is closely associated with the intestinal flora. This study aimed to explore the enterotypes in AD by identifying key bacteria through machine learning and species co-occurrence network analysis.

Methods

The collection of fecal samples from AD patients was followed by 16 S rRNA analysis using QIIME2. Enterotype clustering was conducted at the genus level, and deep neural network (DNN) classification models were developed for AD and healthy controls within each enterotype.

Results

Analysis of three 16 S rRNA gut microbiome datasets identified three distinct enterotypes: Escheri

SUBMITTER: Liu GS 

PROVIDER: S-EPMC11892252 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature