Leveraging Diverse Regulated Cell Death Patterns to Identify Diagnosis Biomarkers for Alzheimer's Disease.

ABSTRACT:

Background

The functions of regulated cell death (RCD) are closely related to Alzheimer's disease (AD). However, very few studies have systematically investigated the diagnosis and immunologic role of RCD-related genes in AD patients.

Methods

8 multicenter AD cohorts were included in this study, and then were merged into a meta cohort. Then, an unsupervised clustering analysis was carried out to detect unique subtypes of AD based on RCD-related genes. Subsequently, differently expressed genes (DEGs) and weighted correlation network analysis (WGCNA) between subtypes were identified. Finally, to establish an optimal risk model, an RCD.score was constructed by using computational algorithm (10 machine-learning algorithms, 113 combinations).

Results

We identified two dist

SUBMITTER: Ren L 

PROVIDER: S-EPMC11573840 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature