ArticleJournal of translational medicine2019
Bioinformatic gene analysis for potential biomarkers and therapeutic targets of atrial fibrillation-related stroke.
Article in Journal of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
72 citing papers in PubMed, 3 syntheses or guidelines pooled it, 104 citations in OpenAlex.
- Freely available genomic datasets for atrial fibrillation research: current resources and analytical pipeline.Frontiers in genetics · 2026Pooled it
- Bioinformatics Analysis Reveals HIST1H2BH as a Novel Diagnostic Biomarker for Atrial Fibrillation-Related Cardiogenic Thromboembolic Stroke.Molecular biotechnology · 2025Pooled 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
- Identification of potential biological biomarkers for acute ischemic stroke based on integrated bioinformatics analyses.BMC neurology · 2026Article
- Gut-heart axis disruption and LPS translocation: driving atrial fibrillation through inflammatory storm and fibrotic mechanisms.Frontiers in endocrinology · 2026Review
- miRNA101a secreted by EATMs regulates atrial fibrillation through the PDGF-mediated PI3K/AKT pathway.Frontiers in pharmacology · 2026Article
- Association Between Fasting Blood Glucose and Myocardial Infarction Risk: Findings From the 2015-2018 NHANES Database and Mendelian Randomization Studies.Cardiology research and practice · 2026Article
- Shared genetic associations between CHAInternational journal of cardiology. Cardiovascular risk and prevention · 2025Article
- FGF9 alleviates diabetic cardiomyopathy by activating Nrf2 via SQSTM1/p62-Keap1 in mice.Communications biology · 2025Article
- Global burden of disease analysis of stroke due to high systolic blood pressure in different regions, 1990-2021.BMC public health · 2025Article
- Characterization of SPTLC2 as a key driver promoting microglial activation and energy metabolism reprogramming after ischemic stroke through bulk and single-cell analyses combined with experimental validation.Cell biology and toxicology · 2025Article
- Genetic Architecture of Ischemic Stroke: Insights from Genome-Wide Association Studies and Beyond.Journal of cardiovascular development and disease · 2025Review
- Direct oral anticoagulants do not affect miR-27a-3p expression, a regulator of coagulation cascade, in atrial fibrillation patients.Journal of thrombosis and thrombolysis · 2025Article
- Bioinformatics analysis and experimental validation of potential targets and pathways in chronic kidney disease associated with renal fibrosis.Journal of translational medicine · 2025Article
- Long Non-coding RNA Involved in the Pathophysiology of Atrial Fibrillation.Cardiovascular drugs and therapy · 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
- Molecular targets of neuroplasticity in ischemic stroke: insights from GEO database, single-cell analysis and immune infiltration analysis.Frontiers in aging neuroscience · 2025Article
- Energy Metabolism Dysregulation in Myocardial Infarction: An Integrative Analysis of Ischemic Cardiomyopathy.Current vascular pharmacology · 2025Article
- Mediation Analysis of Serum Fibroblast Growth Factor 20 and Poor Prognosis After Ischemic Stroke.Journal of the American Heart Association · 2024Article
- Article
12 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundAtrial 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.
methodsAF-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 used to assess protein-protein interaction (PPI) networks, Gene Ontology (GO) terms and pathway enrichment for DEGs, and co-expressed DEGs coupled with corresponding predicted miRNAs involved in AF and stroke were assessed as well.
resultsWe identified 489, 265, 518, and 592 DEGs in left atrial specimens and cardioembolic stroke blood samples at < 3, 5, and 24 h, respectively. LRRK2, CALM1, CXCR4, TLR4, CTNNB1, and CXCR2 may be implicated in AF and the hub-genes of CD19, FGF9, SOX9, GNGT1, and NOG may be associated with stroke. Finally, co-expressed DEGs of ZNF566, PDZK1IP1, ZFHX3, and PITX2 coupled with corresponding predicted miRNAs, especially miR-27a-3p, miR-27b-3p, and miR-494-3p may be significantly associated with AF-related stroke.
conclusionAF and stroke are related and ZNF566, PDZK1IP1, ZFHX3, and PITX2 genes are significantly associated with novel biomarkers involved in AF-related stroke.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.