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• W4289884328 abstract "Problem Recurrent implantation failure (RIF) refers to a challenging topic in assisted reproductive technology, the etiology of which may be attributed to the impaired endometrial receptivity, however, the precise pathogenesis of RIF has not been thoroughly elucidated. Method of Study Four RIF microarray datasets were obtained from the Gene Expression Omnibus database and integrated by the “sva” R package. The differentially expressed genes (DEGs) were analyzed using the “limma” package and then GO, KEGG, GSEA, and GSVA were applied to perform functional and pathway enrichment analysis. The immune cell infiltration in the RIF process was evaluated by the CIBERSORT algorithm. Finally, the hub genes were identified through the CytoHubba and subsequently verified using two items of external endometrial data. Results 236 genes were differentially expressed in the endometrium of the RIF group. Functional enrichment analysis demonstrated that the biological functions of DEGs were mainly correlated to the immune-related pathways, including immune response, TNF signaling pathway, complement and coagulation cascades. Among the immune cells, γδ T cells decreased significantly in the endometrium of RIF patients. In addition, the key DEGs such as PTGS2, FGB, MUC1, SST, VCAM1, MMP7, ERBB4, FOLR1 and C3 were screened and identified as the hub genes involved in the pathogenesis of RIF. Conclusions Abnormal immune response regulation of endometrium contributes to the occurrence of RIF, and γδ T cells may be the pivotal immune cells causing RIF. At the same time, the novel hub genes identified will provide effective targets for the prediction and therapy of RIF. This article is protected by copyright. All rights reserved" @default.
• W4289884328 created "2022-08-05" @default.
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• W4289884328 date "2022-08-15" @default.
• W4289884328 modified "2023-10-02" @default.
• W4289884328 title "Identification of key genes and immune cell infiltration in recurrent implantation failure: A study based on integrated analysis of multiple microarray studies" @default.
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• W4289884328 doi "https://doi.org/10.1111/aji.13607" @default.
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