Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Inflammation as a risk factor for stroke in atrial fibrillation: data from a microarray data analysis

1 May 2020

Abstract excerpt

OBJECTIVE: Stroke is a severe complication of atrial fibrillation (AF). We aimed to discover key genes and microRNAs related to stroke risk in patients with AF using bioinformatics analysis. METHODS: GSE66724 microarray data, including peripheral blood samples from eight patients with AF and stroke and eight patients with AF without stroke, were downloaded from the Gene Expression Omnibus (GEO) database....

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Atrial Fibrillation Management and Outcomes
Share to MicroRNA in disease regulation
Share to Neuroinflammation and Neurodegeneration Mechanisms

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 32367757
DOI: 10.1177/0300060520921671

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Inflammation as a risk factor for stroke in atrial fibrillation: data from a microarray data analysisPMID 32367757Read ↗

MicroRNA Regulatory Network Revealing the Mechanism of Inflammation in Atrial FibrillationSemantic proximity Read ↗

Analysis of the Potential Role of Key Genes in Atrial Fibrillation Based on Bioinformatics ApproachSemantic proximity Read ↗

Bioinformatic gene analysis for potential biomarkers and therapeutic targets of atrial fibrillation-related strokeSemantic proximity Read ↗

Identification and validation of oxidative stress-related genes in patients with atrial fibrillationSemantic proximity Read ↗

Identification of Co-expressed Genes Between Atrial Fibrillation and StrokeSemantic proximity Read ↗

Integrated analysis of ischemic stroke datasets revealed sex and age difference in anti-stroke targetsSemantic proximity Read ↗

Identification of key genes in atrial fibrillation using bioinformatics analysis.Semantic proximity Read ↗

GAS6-AS1, a long noncoding RNA, functions as a key candidate gene in atrial fibrillation related stroke determined by ceRNA network analysis and WGCNASemantic proximity Read ↗

Identification of novel biomarkers in ischemic stroke: a genome-wide integrated analysisSemantic proximity Read ↗

Potential Target Genes in the Development of Atrial Fibrillation: A Comprehensive Bioinformatics AnalysisSemantic proximity Read ↗

RNA Sequence Analysis of Differentially Expressed Genes in Left Atrial Appendage ThrombusSemantic proximity Read ↗

Exploring the shared biomarkers between cardioembolic stroke and atrial fibrillation by WGCNA and machine learningSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.