scholarly journals Bioinformatic analysis and validation of microRNA‐508‐3p as a protective predictor by targeting NR4A3/MEK axis in pulmonary arterial hypertension

2021 ◽  
Author(s):  
Yi Ma ◽  
Shu‐Shu Chen ◽  
Fen Jiang ◽  
Ru‐Yi Ma ◽  
Huan‐Liang Wang
Keyword(s):  
Pulmonary Arterial Hypertension ◽  
Arterial Hypertension ◽  
Bioinformatic Analysis ◽  
Pulmonary Arterial

scholarly journals Screening of Hub Genes Associated with Pulmonary Arterial Hypertension by Integrated Bioinformatic Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Yu Zeng ◽  
Nanhong Li ◽  
Zhenzhen Zheng ◽  
Riken Chen ◽  
Min Peng ◽  
...  
Keyword(s):  
Pulmonary Arterial Hypertension ◽  
Arterial Hypertension ◽  
Drug Targets ◽  
Bioinformatic Analysis ◽  
Functional Enrichment ◽  
Receptor Interaction ◽  
Ppi Network ◽  
Hub Genes ◽  
Network Analyses ◽  
Pulmonary Arterial

Background. Pulmonary arterial hypertension (PAH) is a disease or pathophysiological syndrome which has a low survival rate with abnormally elevated pulmonary artery pressure caused by known or unknown reasons. In addition, the pathogenesis of PAH is not fully understood. Therefore, it has become an urgent matter to search for clinical molecular markers of PAH, study the pathogenesis of PAH, and contribute to the development of new science-based PAH diagnosis and targeted treatment methods. Methods. In this study, the Gene Expression Omnibus (GEO) database was used to downloaded a microarray dataset about PAH, and the differentially expressed genes (DEGs) between PAH and normal control were screened out. Moreover, we performed the functional enrichment analyses and protein-protein interaction (PPI) network analyses of the DEGs. In addition, the prediction of miRNA and transcriptional factor (TF) of hub genes and construction miRNA-TF-hub gene network were performed. Besides, the ROC curve was used to evaluate the diagnostic value of hub genes. Finally, the potential drug targets for the 5 identified hub genes were screened out. Results. 69 DEGs were identified between PAH samples and normal samples. GO and KEGG pathway analyses revealed that these DEGs were mostly enriched in the inflammatory response and cytokine-cytokine receptor interaction, respectively. The miRNA-hub genes network was conducted subsequently with 131 miRNAs, 7 TFs, and 5 hub genes (CCL5, CXCL12, VCAM1, CXCR1, and SPP1) which screened out via constructing the PPI network. 17 drugs interacted with 5 hub genes were identified. Conclusions. Through bioinformatic analysis of microarray data sets, 5 hub genes (CCL5, CXCL12, VCAM1, CXCR1, and SPP1) were identified from DEGs between control samples and PAH samples. Studies showed that the five hub genes might play an important role in the development of PAH. These 5 hub genes might be potential biomarkers for diagnosis or targets for the treatment of PAH. In addition, our work also indicated that paying more attention on studies based on these 5 hub genes might help to understand the molecular mechanism of the development of PAH.

scholarly journals Comprehensive bioinformatic analysis identified m6A methylation as an important regulator in mediating immune response during idiopathic pulmonary arterial hypertension

2020 ◽  
Author(s):  
Na Liu ◽  
Yunhong Zeng ◽  
Ting Huang ◽  
Wanyun Zuo ◽  
Yunbin Xiao ◽  
...  
Keyword(s):  
Immune Response ◽  
Pulmonary Arterial Hypertension ◽  
Arterial Hypertension ◽  
Immune Cell ◽  
Enrichment Analysis ◽  
Bioinformatic Analysis ◽  
Pathway Enrichment Analysis ◽  
Protein Protein Interaction ◽  
M1 Macrophage ◽  
Pulmonary Arterial

Abstract BackgroundDespite its functional importance in various fundamental bioprocesses, studies of N6-methyladenosine (m6A) in the pulmonary arterial hypertension (PAH) are lacking. Here we studied the potential relevance of m6A RNA methylation and immune response in PAH development.MethodsWe constructed a monocrotaline (MCT) induced PAH rat model and performed Methylated RNA immunoprecipitation sequencing (MeRIP-Seq). The 18 idiopathic PAH (IPAH) microarray data obtained from the GEO database was used to construct co-expression networks by weighted gene co-expression network analysis (WGCNA). CIBERSORT was used to investigate the effect of m6A methylation on immune cell infiltration during PAH.ResultsA differential pattern of m6A abundance, mainly up-methylation, was observed in the lung tissues of rats with MCT induced PAH. By WGCNA, multi-list pathway enrichment analysis and protein-protein interaction (PPI) analysis, we found that m6A methylation modification may play important roles in mediating immune response during PAH. CYBERSORT algorithm indicated that the m6A methylation can drive monocyte to form M1 macrophage, which may be mediated by CCR5 and CXCL9.ConclusionCollectively, m6A landscape is altered in PAH. We summarize newly discovered m6A in controlling immune response, which caused activation of M1 macrophage during PAH. It’s provided a novel insight into the therapeutic mechanisms of PAH.

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