Journal
FRONTIERS IN GENETICS
Volume 12, Issue -, Pages -Publisher
FRONTIERS MEDIA SA
DOI: 10.3389/fgene.2021.712150
Keywords
recurrent implantation failure; competing endogenous RNAs; assisted reproductive technology; GEO; non-invasive prediction model
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Funding
- National Natural Science Foundation of China [81070495]
- National Key R&D Program of China [2017YFC1001603]
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The study analyzed differences in miRNAs, mRNAs, and lncRNAs in the endometrium of RIF patients, built a ceRNA network, and constructed a circulating miRNA prediction model for diagnosis in RIF patients.
Background Recurrent implantation failure (RIF) is an obstacle in the process of assisted reproductive technology (ART). At present, there is limited research on its pathogenesis, diagnosis, and treatment methods. Methods and Results In this study, a series of analytical tools were used to analyze differences in miRNAs, mRNAs, and lncRNAs in the endometrium of patients in a RIF group and a control group. Then the competing endogenous RNA (ceRNA) network was built to describe the relationship between gene regulation in the endometrium of the RIF group. Based 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. Conclusion The stability and non-invasiveness of the circular miRNA prediction model provided a new method for diagnosis in RIF patients.
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