Bioinformatic gene analysis for potential biomarkers and therapeutic targets of atrial fibrillation-related stroke.

ABSTRACT:

Background

Atrial fibrillation (AF) is one of the most prevalent sustained arrhythmias, however, epidemiological data may understate its actual prevalence. Meanwhile, AF is considered to be a major cause of ischemic strokes due to irregular heart-rhythm, coexisting chronic vascular inflammation, and renal insufficiency, and blood stasis. We studied co-expressed genes to understand relationships between atrial fibrillation (AF) and stroke and reveal potential biomarkers and therapeutic targets of AF-related stroke.

Methods

AF-and stroke-related differentially expressed genes (DEGs) were identified via bioinformatic analysis Gene Expression Omnibus (GEO) datasets GSE79768 and GSE58294, respectively. Subsequently, extensive target prediction and network analyses methods were us

SUBMITTER: Zou R 

PROVIDER: S-EPMC6375208 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature