Background: This study investigated the therapeutic targets of aortic aneurysm (AA) and provided insights into the pathogenesis and molecular mechanisms of AA.
Methods: The messenger RNA (mRNA) datasets, GSE9106 (blood samples) and GSE7084 (tissue samples), and the microRNA (miRNA) datasets, GSE92427 (blood samples) and GSE110527 (tissue samples), were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) and differentially expressed miRNAs (DE-miRNAs) were analyzed by limma. Based on the co-DEGs and co-DE-miRNAs between the AA blood and tissue datasets, the miRNA-mRNA regulatory pairs were predicted. Functional enrichment analyses and gene set enrichment analysis (GSEA) were performed and the protein-protein interaction (PPI) network was generated to further analyze the related genes and their functions. Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) and tyramide signal amplification (TSA)-in situ hybridization (ISH) assays were performed to detect the expression of co-DE-miRNAs in AA clinical tissue samples and normal aorta samples.
Results: There were 19 upregulated and 5 downregulated co-differential mRNAs. was the upregulated co-differential miRNA, and was the downregulated co-differential miRNA by blood-tissue co-analysis. Based on the co-DEGs and co-DE-miRNAs, 4 miRNA-mRNA regulatory pairs were predicted. PPI networks were constructed of co-DEGs with 6 relationship pairs. RT-qPCR and TSA-ISH assays showed the upregulation of miR-4306 and the downregulation of miR-3198 in AA tissue samples.
Conclusions: This study provided evidence regarding the differential regulatory miRNA-mRNA networks in AA blood and tissue samples and identified key genes and signaling pathways related to AA, which provided insights into potential targets and mechanisms of AA pathogenesis and progression.
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| http://dx.doi.org/10.21037/atm-22-514 | DOI Listing |
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