Bourdiec Amelie, Messaoudi Soumaya, El Kasmi Imane, Chow-Shi-Yée Mélanie, Kadoch Eva, Stebenne Marie-Eve, Tadevosyan Artak, Kadoch Isaac-Jacques
Clinique ovo, 8000 Boul. Décarie, Montreal, QC, H4P 2S4, Canada.
Department of Pharmacology and Physiology, Université de Montreal, Montreal, QC, Canada.
Biochem Genet. 2024 Nov 3. doi: 10.1007/s10528-024-10950-y.
Successful embryo implantation relies on a receptive endometrium and a maternofetal dialogue. Abnormal receptivity is a common cause of implantation failure in assisted reproductive techniques. This study aimed to develop a novel transcriptomic-based diagnostic assay, Adhesio, for assessing endometrial receptivity and guiding personalized embryo transfer. Adhesio was developed based on an initial dataset of 74 endometrial biopsies. Two types of biopsy samples were involved: 45 endometrial biopsies collected during the optimal theoretical window of implantation (WOI) and 29 endometrial biopsies which cells have been cultured with or without an autologous embryo. Microarray analysis was performed to identify differentially expressed genes associated with endometrial receptivity and selected candidate genes were assessed using quantitative real-time polymerase chain reaction (RT-qPCR) on biopsy samples. Statistical analyses were conducted to assess the performance and accuracy of Adhesio. The microarray analysis identified three distinct clusters of endometrial samples with differential gene expression patterns. Cluster 1 exhibited 1717 differentially expressed genes involved in biological processes associated with endometrial receptivity. A specific transcriptomic signature of 60 genes associated with endometrial co-culture was obtained using class prediction approach. Thereafter, an original panel of 10 genes was selected as potential biomarkers for endometrial receptivity based on their expression profiles in both endometrial biopsies and co-cultured cells. This article outlines the methodology employed to develop Adhesio, a test that assesses endometrial receptivity using an original panel of 10 genes. These genes are not only involved during the WOI but are also influenced by the maternal-fetal dialogue.
成功的胚胎着床依赖于子宫内膜的容受性和母胎对话。子宫内膜容受性异常是辅助生殖技术中着床失败的常见原因。本研究旨在开发一种基于转录组学的新型诊断方法Adhesio,用于评估子宫内膜容受性并指导个性化胚胎移植。Adhesio是基于74例子宫内膜活检的初始数据集开发的。涉及两种类型的活检样本:在最佳理论着床窗(WOI)期间收集的45例子宫内膜活检样本,以及29例已与自体胚胎共培养或未共培养的子宫内膜活检样本。进行微阵列分析以鉴定与子宫内膜容受性相关的差异表达基因,并使用定量实时聚合酶链反应(RT-qPCR)对活检样本评估选定的候选基因。进行统计分析以评估Adhesio的性能和准确性。微阵列分析确定了具有不同基因表达模式的三个不同的子宫内膜样本簇。簇1显示出1717个参与与子宫内膜容受性相关生物学过程的差异表达基因。使用分类预测方法获得了与子宫内膜共培养相关的60个基因的特定转录组特征。此后,基于10个基因在子宫内膜活检样本和共培养细胞中的表达谱,选择了一组原始的10个基因作为子宫内膜容受性的潜在生物标志物。本文概述了开发Adhesio的方法,Adhesio是一种使用一组原始的10个基因评估子宫内膜容受性的检测方法。这些基因不仅在WOI期间起作用,而且还受到母胎对话的影响。