Serum and cervico-vaginal glycodelin concentrations as predictors of successful implantation after embryo transfer

Farag, Amr H.; Farid, Ali Asghar Asgharnejad; El-Din, Mohamed H; Mohamed, Marwa Ahmed; El-Helaly, Amr Mohamed

doi:10.1016/j.tjog.2022.03.012

Cited by 1 publication

(1 citation statement)

References 28 publications

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“…Metabolomic, protein, and cytological markers from cervicovaginal fluids have been studied to identify endometrial conditions [ 23 , 24 , 25 , 26 ]. In assisted reproduction, while markers from cervicovaginal washing or lavages, including glycodelin A and cytokines, have been associated with implantation outcome, they have not yet been successfully validated [ 27 , 28 , 29 , 30 ]. Interestingly, it is evident that DNA methylation markers from cervicovaginal materials can be used to detect endometrial cancer with high accuracy [ 31 , 32 , 33 ].…”

Section: Introductionmentioning

confidence: 99%

DNA Methylation of Window of Implantation Genes in Cervical Secretions Predicts Ongoing Pregnancy in Infertility Treatment

Chen³

et al. 2023

IJMS

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Window of implantation (WOI) genes have been comprehensively identified at the single cell level. DNA methylation changes in cervical secretions are associated with in vitro fertilization embryo transfer (IVF-ET) outcomes. Using a machine learning (ML) approach, we aimed to determine which methylation changes in WOI genes from cervical secretions best predict ongoing pregnancy during embryo transfer. A total of 2708 promoter probes were extracted from mid-secretory phase cervical secretion methylomic profiles for 158 WOI genes, and 152 differentially methylated probes (DMPs) were selected. Fifteen DMPs in 14 genes (BMP2, CTSA, DEFB1, GRN, MTF1, SERPINE1, SERPINE2, SFRP1, STAT3, TAGLN2, TCF4, THBS1, ZBTB20, ZNF292) were identified as the most relevant to ongoing pregnancy status. These 15 DMPs yielded accuracy rates of 83.53%, 85.26%, 85.78%, and 76.44%, and areas under the receiver operating characteristic curves (AUCs) of 0.90, 0.91, 0.89, and 0.86 for prediction by random forest (RF), naïve Bayes (NB), support vector machine (SVM), and k-nearest neighbors (KNN), respectively. SERPINE1, SERPINE2, and TAGLN2 maintained their methylation difference trends in an independent set of cervical secretion samples, resulting in accuracy rates of 71.46%, 80.06%, 80.72%, and 80.68%, and AUCs of 0.79, 0.84, 0.83, and 0.82 for prediction by RF, NB, SVM, and KNN, respectively. Our findings demonstrate that methylation changes in WOI genes detected noninvasively from cervical secretions are potential markers for predicting IVF-ET outcomes. Further studies of cervical secretion of DNA methylation markers may provide a novel approach for precision embryo transfer.

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Section: Introductionmentioning

confidence: 99%

DNA Methylation of Window of Implantation Genes in Cervical Secretions Predicts Ongoing Pregnancy in Infertility Treatment

Chen³

et al. 2023

IJMS

View full text Add to dashboard Cite

show abstract

Serum and cervico-vaginal glycodelin concentrations as predictors of successful implantation after embryo transfer

Cited by 1 publication

References 28 publications

DNA Methylation of Window of Implantation Genes in Cervical Secretions Predicts Ongoing Pregnancy in Infertility Treatment

DNA Methylation of Window of Implantation Genes in Cervical Secretions Predicts Ongoing Pregnancy in Infertility Treatment

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