Integrated bioinformatic analysis reveals the underlying mitochondria-associated endoplasmic reticulum membranes-related biomarkers for atrial fibrillation.

ABSTRACT:

Purpose

To provide novel insights into the diagnosis of atrial fibrillation (AF), we aimed to identify mitochondria-associated endoplasmic reticulum membranes (MAMs)-related biomarkers for AF.

Methods

The training and validation datasets of AF were sourced from the Gene Expression Omnibus (GEO) database. A comprehensive analysis was conducted to identify MAM-related biomarkers, including support vector machine-recursive feature elimination (SVM-RFE) and differentially expressed analysis. Moreover, causal effects of biomarkers on AF were assessed through the two-sample Mendelian randomization (MR) analysis. Functional enrichment, immune infiltration, and single-cell analyses were conducted to investigate the possible mechanisms of biomarkers regulating AF. Finally, the expres

SUBMITTER: Wang Y 

PROVIDER: S-EPMC12454065 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature