Ann Med Med Res | Volume 5, Issue 1 | Review Article | Open Access

Bioinformatics Analysis for Potential Biomarkers and Therapeutic Targets of Obstructive Sleep Apnea-Related Atrial Fibrillation

Cuiyi Liu1,2#, Jiayong Zhu3#, Boming Zhao3, Bin Li3 and Xuefei Li1*

1Department of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and
Technology, China
2Department of Cardiology, Zhongnan Hospital of Wuhan University, China
3Department of Orthopedic Surgery, Division of Joint Surgery and Sports Medicine, Zhongnan Hospital of Wuhan
University, China
#These authors contributed equally to this work

*Correspondance to: Xuefei Li 

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Abstract

Background: Epidemiological studies indicated that Obstructive Sleep Apnea (OSA) and Atrial Fibrillation (AF) could mutually affect the development and prognosis of diseases, but the underlying pathophysiological mechanisms are still unclear. Methods: We downloaded two mRNA data sets GSE75097 and GSE128188 from Gene Expression Omnibus (GEO) data base, and the common Differentially Expressed Genes (co-DEGS) were identified. OSA-DEGs, LAA-AF-DEGs and RAA-AF-DEGs were functionally annotated by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, and Protein- Protein Interaction (PPI) networks were constructed to screen out their respective hub-genes. Meanwhile, micro RNAs targeting co-DEGs were predicted and GO and KEGG analysis was performed for micro RNAs. Results: We detected 343, 159, and 182 DEGs from OSA, LAA-AF, and RAA-AF patients, and screened out 4 co-DEGs, RASD1, PHLDA1, FOSL1 and ACPP. The GO and KEGG analysis suggested that Wnt signaling pathway might be a specific signaling pathway in the interaction mechanism between OSA and AF. Conclusion: Our study suggested that RASD1, PHLDA1, FOSL1 and ACPP were the critical genes involved in the interaction between OSA and AF. Moreover, OSA may be involved in the process of AF through different mechanisms in LAA and RAA. These results provided potential new therapeutic targets for OSA and AF.

Keywords:

Atrial fibrillation; Biomarkers; Gene analysis; Left atrial appendage; Obstructive sleep apnea; Right atrial appendage

Citation:

Liu C, Zhu J, Zhao B, Li B, Li X. Bioinformatics Analysis for Potential Biomarkers and Therapeutic Targets of Obstructive Sleep Apnea-Related Atrial Fibrillation. Ann Med Medical Res. 2022; 5: 1050..

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