ArticleJournal of cellular and molecular medicine2022
CXCR4 and TYROBP mediate the development of atrial fibrillation via inflammation.
Article in Journal of cellular and molecular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 29 citations in OpenAlex.
- SNAI2/SLUG: a key regulator of endothelial-to-mesenchymal transition and vascular remodeling in cardiovascular diseases.Journal of cardiothoracic surgery · 2026Review
- Integrated bioinformatics and experimental analysis identify apoptosis- and pyroptosis-related hub genes as candidate diagnostic biomarkers in Alzheimer's disease.Journal of applied genetics · 2026Article
- Uncovering the immune-related PCD genes in chronic rhinosinusitis with nasal polyps inflammatory progression: a machine learning and functional validation study.Frontiers in cell and developmental biology · 2026Article
- Early diagnosis of acute myocardial infarction via hub genes identified by integrated weighted gene co-expression network analysis.American heart journal plus : cardiology research and practice · 2025Article
- Microarray-based analysis reveals a novel role of the miRNA-613/SNAI2/CXCR4 axis in atrial fibrillation.PloS one · 2025Article
- Myeloid-specific S100A8/A9 deficiency attenuates atrial fibrillation through prevention of TLR4/NF-kB-mediated immune cell recruitment and inflammation.Frontiers in immunology · 2025Article
- Integrated bioinformatic analysis of the shared molecular mechanisms between ANCA-associated vasculitis and atherosclerosis.Arthritis research & therapy · 2024Article
- [Pathogenesis and potential diagnostic biomarkers of atrial fibrillation in Chinese population: a study based on bioinfor-matics].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2024Article
- Identification of common mechanisms and biomarkers of atrial fibrillation and heart failure based on machine learning.ESC heart failure · 2024Article
- Low TYROBP expression predicts poor prognosis in multiple myeloma.Cancer cell international · 2024Article
- Identification of shared pathogenetic mechanisms between COVID-19 and IC through bioinformatics and system biology.Scientific reports · 2024Article
- Amlexanox reduces new-onset atrial fibrillation risk in sepsis by downregulating S100A12: a Mendelian randomization study.Frontiers in cardiovascular medicine · 2024Article
- Identification of atrial fibrillation-related genes through transcriptome data analysis and Mendelian randomization.Frontiers in cardiovascular medicine · 2024Article
- Developing Pharmacological Therapies for Atrial Fibrillation Targeting Mitochondrial Dysfunction and Oxidative Stress: A Scoping Review.International journal of molecular sciences · 2023Article
- Ablation of CXCR4 expression in cardiomyocytes exacerbates isoproterenol‑induced cell death and heart failure.International journal of molecular medicine · 2023Article
- CXCR4 and TYROBP mediate the development of atrial fibrillation via inflammation.Journal of cellular and molecular medicine · 2022Article
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Atrial fibrillation (AF) is a rapid supraventricular arrhythmia. However, the pathogenesis of atrial fibrillation remains controversial. We obtained transcriptome expression profiles GSE41177, GSE115574 and GSE79768 from GEO database. WGCNA was performed, DEGs were screened, PPI network was constructed using STRING database. CTD database was used to identify the reference score of hub genes associated with cardiovascular diseases. Prediction of miRNAs of hub genes was performed by TargetScan. DIANA-miRPath v3.0 was applied to make functional annotation of miRNA. The animal model of atrial fibrillation was constructed, RT-PCR was used to verify the expression of hub genes. Immunofluorescence assay for THBS2 and VCAN was made to identify molecular. Design of BP neural network was made to explore the prediction relationship of CXCR4 and TYROBP on AF. The merged datasets contained 104 up-regulated and 34 down-regulated genes. GO and KEGG enrichment analysis results of DEGs showed they were mainly enriched in 'regulation of release of sequestered calcium ion into cytosol', 'actin cytoskeleton organization' and 'focal adhesion'. The hub genes were CXCR4, SNAI2, S100A4, IGFBP3, CSNK2A1, CHGB, VCAN, APOE, C1QC and TYROBP, which were up-regulated expression in the AF compared with control tissues. There was strong correlation among the CXCR4, TYROBP and AF based on the BP neural network. Through training, best training performance is 9.6474e-05 at epoch 14, and the relativity was 0.99998. CXCR4 and TYROBP might be involved in the development of atrial fibrillation by affecting inflammation-related signalling pathways and may serve as targets for early diagnosis and preventive treatment.
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