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Endometrial gene expression profiling of recurrent implantation failure after in vitro fertilization
Recurrent implantation failure (RIF) is diagnosed when good-quality embryos repeatedly fail to implant after transfer in several in vitro fertilization (IVF) treatment cycles. Different expression profiles in maternal mRNAs could be referring to many diseases including RIF. This study aimed to revea...
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Published in: | Molecular biology reports 2021-06, Vol.48 (6), p.5075-5082 |
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Main Authors: | , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Recurrent implantation failure (RIF) is diagnosed when good-quality embryos repeatedly fail to implant after transfer in several in vitro fertilization (IVF) treatment cycles. Different expression profiles in maternal mRNAs could be referring to many diseases including RIF. This study aimed to reveal significantly dysregulated selected genes expression between healthy fertile women and RIF patients in the implantation window days of the natural menstrual cycle. MME, WWC1, TNC, and FOXP3 genes were chosen as target genes regarding their possible relations with the implantation process. Pathways with these genes were identified and the relationship between these pathways and RIF was investigated. In this study, the endometrial biopsy samples were collected in the secretory phase (cycle day 20–24) of the menstrual cycle from RIF patients (n = 34) and healthy fertile controls (n = 34). After “Pathway and network-oriented GWAS analysis” (PANOGA) and “Kyoto Encyclopedia of Genes and Genomes” (KEGG) pathway analysis; “Membrane Metalloendopeptidase” (MME), “WW and C2 Domain Containing 1” (WWC1), “Tenascin C” (TNC) and “Forkhead Box P3” (FOXP3) genes were chosen as target genes by regarding their possible relation with implantation process. Detection of differences in mRNA expressions between the control group and RIF patients has been performed with the droplet digital PCR (ddPCR) method. Results of the study showed that MME and WWC1 genes expression levels are significantly (p |
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ISSN: | 0301-4851 1573-4978 |
DOI: | 10.1007/s11033-021-06502-x |