Comprehensive analysis of micro RNAs in recurrent implantation failures patients and construction of prediction models based on circulating micro RNAs

Abstract BackgroundRecurrent implantation failure (RIF) is an obstacle in the process of assisted reproductive technology (ART). At present, there was limited research on its pathogenesis, diagnosis and treatment methods.ResultsIn this study, a series of analytical tools were used to analyze differences in miRNAs, mRNAs and lncRNAs in the endometrium of patients in the RIF group and the control group. At the same time, multiple databases are used to predict the target genes of non-coding RNAs. Then the competing endogenous RNA (ceRNA) network was built to describe the relationship between gene regulation in the endometrium of the RIF.ConcludesBased on the results of the logistic regression of co-expression miRNAs between serum and endometrial samples, we built a predictive model based on circulating miRNAs.