Palmitoylation-related gene ZDHHC22 as a potential diagnostic and immunomodulatory target in Alzheimer's disease: insights from machine learning analyses and WGCNA.

ABSTRACT:

Background

The mechanism of palmitoylation in the pathogenesis of Alzheimer's disease (AD) remains unclear.

Methods

This study retrieved AD data sets from the GEO database to identify palmitoylation-associated genes (PRGs). This study applied WGCNA along with three machine learning algorithms-random forest, LASSO regression, and SVM-RFE-to further select key PRGs (KPRGs). The diagnostic performance of KPRGs was evaluated using Receiver Operating Characteristic (ROC) curve analysis. Immune cell infiltration analysis was conducted to assess correlations between KPRGs and immune cell types, and a competing endogenous RNA (ceRNA) regulatory network was constructed to explore their potential regulatory mechanisms.

Results

17 PRGs were identified from the AD data sets, with

SUBMITTER: Mao S 

PROVIDER: S-EPMC11752772 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature