ArticleThe Journal of international medical research2020
Inflammation as a risk factor for stroke in atrial fibrillation: data from a microarray data analysis.
Article in The Journal of international medical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Deciphering the Role of microRNAs: Unveiling Clinical Biomarkers and Therapeutic Avenues in Atrial Fibrillation and Associated Stroke-A Systematic Review.International journal of molecular sciences · 2024Pooled it
- Association between MEF2A variants and ischemic stroke risk: a case-control study and two prospective cohort studies in a Chinese population.BMC cardiovascular disorders · 2026Article
- Recent Advances in Inflammation-Associated Epicardial Adipose Tissue for Atrial Fibrillation Patients.Reviews in cardiovascular medicine · 2025Review
- The Ubiquitination and Degradation of SH2B3 Mediated by MEF2A/WWP2 Axis Restores Microglial Homeostasis to Alleviate Cerebral Microvascular Endothelial Cell Injury in Ischemic Stroke.Neurochemical research · 2025Article
- Article
- The role of miR-155 in cardiovascular diseases: Potential diagnostic and therapeutic targets.International journal of cardiology. Cardiovascular risk and prevention · 2025Review
- Association between advanced lung cancer inflammation index levels and ischemic stroke in patients with atrial fibrillation: a propensity score-matching analysis.Frontiers in neurology · 2025Article
- Comprehensive Analysis Based on Genes Associated With Cuproptosis, Ferroptosis, and Pyroptosis for the Prediction of Diagnosis and Therapies in Coronary Artery Disease.Cardiovascular therapeutics · 2025Article
- PDCD4 promotes inflammation/fibrosis by activating the PPAR‑γ/NF‑κB pathway in mouse atrial myocytes.Molecular medicine reports · 2024Article
- Copy number variation of gasdermin D gene is associated with atrial fibrillation-related thromboembolic stroke.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023Article
- GAS6-AS1, a long noncoding RNA, functions as a key candidate gene in atrial fibrillation related stroke determined by ceRNA network analysis and WGCNA.BMC medical genomics · 2023Article
- Biology of Pellino1: a potential therapeutic target for inflammation in diseases and cancers.Frontiers in immunology · 2023Review
- Article
- Integrated analysis of long non-coding RNA-microRNA-mRNA competing endogenous RNAregulatory networks in thromboangiitis obliterans.Bioengineered · 2021Article
- LncRNA TUG1 Regulates Proliferation of Cardiac FibroblastFrontiers in cardiovascular medicine · 2021Article
- Pilot Study on the Role of Circulating miRNAs for the Improvement of the Predictive Ability of the 2MACE Score in Patients with Atrial Fibrillation.Journal of clinical medicine · 2020Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveStroke 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.
methodsGSE66724 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. Differentially expressed genes (DEGs) between AF patients with and without stroke were identified using the GEO2R online tool. Functional enrichment analysis was performed using the DAVID database. A protein-protein interaction (PPI) network was obtained using the STRING database. MicroRNAs (miRs) targeting these DEGs were obtained from the miRNet database. A miR-DEG network was constructed using Cytoscape software.
resultsWe identified 165 DEGs (141 upregulated and 24 downregulated). Enrichment analysis showed enrichment of certain inflammatory processes. The miR-DEG network revealed key genes, including
conclusionDysregulation of certain genes and microRNAs involved in inflammation may be associated with a higher risk of stroke in patients with AF. Evaluating these biomarkers could improve prediction, prevention, and treatment of stroke in patients with AF.
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