Development of a New Personalized Molecular Test Based on Endometrial Receptivity and Maternal-Fetal Dialogue: Adhesio.

IF 2.1 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Biochemical Genetics Pub Date : 2024-11-03 DOI:10.1007/s10528-024-10950-y
Amelie Bourdiec, Soumaya Messaoudi, Imane El Kasmi, Mélanie Chow-Shi-Yée, Eva Kadoch, Marie-Eve Stebenne, Artak Tadevosyan, Isaac-Jacques Kadoch
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Abstract

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.

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基于子宫内膜敏感性和母胎对话的新型个性化分子检验的开发:Adhesio.
胚胎的成功植入有赖于具有接受能力的子宫内膜和母胎对话。接受能力异常是辅助生殖技术中植入失败的常见原因。本研究旨在开发一种基于转录组学的新型诊断测定--Adhesio,用于评估子宫内膜的接受能力并指导个性化胚胎移植。Adhesio 是基于 74 个子宫内膜活检样本的初始数据集开发的。其中涉及两种类型的活检样本:45份子宫内膜活检样本是在最佳理论植入窗口期(WOI)收集的,29份子宫内膜活检样本是在有或没有自体胚胎的情况下进行细胞培养的。对活检样本进行了微阵列分析,以确定与子宫内膜接受性相关的差异表达基因,并使用实时定量聚合酶链反应(RT-qPCR)对选定的候选基因进行了评估。对 Adhesio 的性能和准确性进行了统计分析。微阵列分析确定了三个具有不同基因表达模式的子宫内膜样本群。群组 1 展示了 1717 个差异表达基因,这些基因涉及与子宫内膜接受能力相关的生物过程。通过分类预测方法,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。之后,根据 10 个基因在子宫内膜活检组织和共培养细胞中的表达谱,筛选出一个原始的基因小组,作为子宫内膜受孕率的潜在生物标志物。本文概述了开发 "Adhesio "所采用的方法。"Adhesio "是一种利用原始的 10 个基因小组评估子宫内膜接受能力的检测方法。这些基因不仅参与了WOI过程,还受到母胎对话的影响。
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来源期刊
Biochemical Genetics
Biochemical Genetics 生物-生化与分子生物学
CiteScore
3.90
自引率
0.00%
发文量
133
审稿时长
4.8 months
期刊介绍: Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses. Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication. Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses. Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods. Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.
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