ObjectiveTo systematically review the efficiency and safety of transcatheter aortic valve replacement (TAVR) in patients with aortic stenosis at intermediate-low risk compared with surgical aortic valve replacement (SAVR).MethodsTwo researchers searched literatures independently in databases including PubMed, Embase, Scopus, Cochrane Library, China Biology Medicine disc, China National Knowledge Internet, VIP database for studies published from January 2012 to October 2017, then screened for propriate studies, collected information from different follow-up period all on the principle of Cocharan handbook. At last statistal analysis was performed in RevMan 5.3 to calculate relative risk (RR) and its 95% confidence interval (CI).ResultsThirteen studies were enrolled in this Meta-analysis with 10 753 patients, including 5 263 cases in TAVR group and 5 490 cases in SAVR group. Meta-analysis showed that there were no statistically significant differences in all-cause mortality between TAVR group and SAVR group in 30 days, 1 year or 2 years after operation [RR=0.96, 95%CI (0.75, 1.24), P=0.78; RR=0.84, 95%CI (0.68, 1.03), P=0.09; RR=0.97, 95%CI (0.84, 1.14), P=0.75]; while stroke more preferred SAVR no matter 30 days or 1 year [RR=0.64, 95%CI (0.51, 0.80), P<0.000 1;RR=0.76, 95%CI (0.63, 0.92), P=0.004].ConclusionThere is no significant difference in all-cause mortality of intermediate-low risk patients undergoing TAVR and SAVR, but TAVR perfoms better in terms of srtoke.
Objective To explore the key genes, pathways and immune cell infiltration of bicuspid aortic valve (BAV) with ascending aortic dilation by bioinformatics analysis. Methods The data set GSE83675 was downloaded from the Gene Expression Omnibus database (up to May 12th, 2022). Differentially expressed genes (DEGs) were analyzed and gene set enrichment analysis (GSEA) was conducted using R language. STRING database and Cytoscape software were used to construct protein-protein interaction (PPI) network and identify hub genes. The proportion of immune cells infiltration was calculated by CIBERSORT deconvolution algorithm. Results There were 199 DEGs identified, including 19 up-regulated DEGs and 180 down-regulated DEGs. GSEA showed that the main enrichment pathways were cytokine-cytokine receptor interaction, pathways in cancer, regulation of actin cytoskeleton, chemokine signaling pathway and mitogen-activated protein kinase signaling pathway. Ten hub genes (EGFR, RIMS3, DLGAP2, RAPH1, CCNB3, CD3E, PIK3R5, TP73, PAK3, and AGAP2) were identified in PPI network. CIBERSORT analysis showed that activated natural killer cells were significantly higher in dilated aorta with BAV. Conclusions These identified key genes and pathways provide new insights into BAV aortopathy. Activated natural killer cells may participate in the dilation of ascending aorta with BAV.