Aberrant DNA methylation profiling affecting the endometrial receptivity in recurrent implantation failure patients undergoing in vitro fertilization

2019 ◽  
Vol 83 (1) ◽  
Author(s):  
Amruta D. S. Pathare ◽  
Indira Hinduja
2010 ◽  
Vol 93 (2) ◽  
pp. 437-441 ◽  
Author(s):  
Erika B. Johnston-MacAnanny ◽  
Janice Hartnett ◽  
Lawrence L. Engmann ◽  
John C. Nulsen ◽  
M. Melinda Sanders ◽  
...  

Author(s):  
İrem Gülfem Albayrak ◽  
Fatemeh Azhari ◽  
Ezgi Nur Çolak ◽  
Burçin Karamustafaoğlu Balcı ◽  
Ege Ülgen ◽  
...  

Author(s):  
Xavier Santamaria ◽  
Carlos Simón

AbstractUnexplained infertility (UI) and recurrent implantation failure (RIF) are diagnoses based on failed pregnancy attempts within current infertility treatment models. Both diagnoses are made when fertility is unexplained based on current diagnostic methods and has no clear cause; UI is diagnosed when testing is inconclusive, and RIF is diagnosed after three failed in vitro fertilization cycles. In both cases, interventions are often introduced without an understanding of the cause of the infertility, frequently leading to frustration for patients and caregivers. Here, we review evidence to support an influence of endometrial factor in patients given these poorly defined diagnoses and possible treatments targeting the endometrium to improve outcomes in these patients.


2019 ◽  
Author(s):  
Min Fu ◽  
Xiaowei Zhang ◽  
Weiping Qian ◽  
Yiheng Liang ◽  
Shouren Lin ◽  
...  

Abstract In vitro fertilization-embryo transfer (IVF-ET) is now widely applied in treating infertility. As the number of IVF cycles continues to increase, recurrent implantation failure (RIF) has become a big challenge. The cause of RIF is very complex and remains largely unrevealed, especially for those without any pathological features. It has been proved that vaginal microbiota is associated with many female reproductive diseases, such as pregnancy-related diseases, sexually transmitted diseases, tubal factor infertility, and first trimester miscarriage after in vitro fertilization (IVF) and so on. Hence, vaginal microbiota and its metabolome may also relate to RIF. In this study, we characterized the vaginal microbiota and metabolome of patients with unexplained RIF, while patients who achieved clinical pregnancy in the first IVF cycle were used as controls. Results Based on 16S rDNA sequencing of the vaginal microbiota, the RIF group presented higher microbial α-diversity than the control group (0.80±0.50 vs 0.50±0.39, P-value=0.016) and harbored more non-Lactobacillus microorganisms, including 25 significantly increased genera of both aerobic and anaerobic bacteria. The metabolomic profile showed that the relative abundances of 37 metabolites among 2,507 metabolites were significantly different between the two groups. Among them, 2',3-cyclic UMP and phosphoinositide were the top two metabolites significantly upregulated in the RIF group, while glycerophospholipids and benzopyran were important metabolites that were significantly downregulated. Lysobisphosphatidic acid (LPA) and prostaglandin (PG) metabolized from glycerophospholipids are key factors affecting implantation and decidualization. Benzopyran, as a selective estrogen receptor modulator (SERM), may affect the outcome of pregnancy. All of the metabolome outcomes may result in or from the differential microbiota composition in the RIF patients. Conclusions In conclusion, significant differences were presented in the vaginal microbiota and metabolome between RIF patients and women who became pregnant in the first IVF cycle, which are related to embryo implantation. This study not only deeply investigates the relationship between RIF and the vaginal microbial community and its metabolites but also provides a profound understanding of the pathogenesis of RIF.


2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Hong Zeng ◽  
Yu Fu ◽  
Lang Shen ◽  
Song Quan

Abstract Background MicroRNAs (miRNAs) are small, non-coding RNAs that are dysregulated in many diseases and can act as biomarkers. Although well-studied in cancer, the role of miRNAs in embryo implantation is poorly understood. Approximately 70% of embryos fail to implant following in-vitro fertilization and embryo transfer, 10% of patients experienced recurrent implantation failure. However, there are no well-established biomarkers that can predict implantation failure. Our purpose is to investigate distinct miRNA profiles in plasma and plasma exosomes during the window of implantation between patients with failed implantation and successful implantation. Methods We select a nested case-control population of 12 patients with implantation failure or successfully clinical pregnancy using propensity score matching. RNA was extracted from plasma and plasma exosomes collected during the window of implantation (WOI). MicroRNA expression in all samples was quantified using microRNA sequencing. The intersection of differently expressed miRNAs in plasma and exosomes were further validated in the GEO dataset. Significantly altered microRNAs in both plasma and plasma exosomes were then subjected to target prediction and KEGG pathway enrichment analyses to search for key signaling pathways. WGCNA analysis was performed to identify hub miRNAs associated with implantation. Results 13 miRNAs were differentially expressed in both plasma and plasma exosomes in patients with implantation failure. Among them, miR-150-5p, miR-150-3p, miR-149-5p, and miR-146b-3p had consistent direction changes in endometrium of patients with recurrent implantation failure (RIF), miR-342-3p had consistent direction changes in blood samples of patients with RIF. Pathway enrichment analysis showed that the target genes of differentially expressed miRNAs are enriched in pathways related to embryo implantation. WGCNA analysis indicated that miR-150-5p, miR-150-3p, miR-146b-3p, and miR-342-3p are hub miRNAs. Conclusions Implantation failure is associated with distinct miRNA profiles in plasma and plasma exosomes during WOI.


Medicine ◽  
2019 ◽  
Vol 98 (7) ◽  
pp. e14075 ◽  
Author(s):  
Xiaoyan Mao ◽  
Ling Wu ◽  
Qiuju Chen ◽  
Yanping Kuang ◽  
Shaozhen Zhang

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