PDF(Pubmed)
Abstract：
Though tremendous advances have been made in the field of in vitro fertilization (IVF), a portion of patients are still affected by embryo implantation failure issues. One of the most significant factors contributing to implantation failure is a uterine condition called displaced window of implantation (WOI), which refers to an unsynchronized endometrium and embryo transfer time for IVF patients. Previous studies have shown that microRNAs (miRNAs) can be important biomarkers in the reproductive process. In this study, we aim to develop a miRNA-based classifier to identify the WOI for optimal time for embryo transfer. A reproductive-related PanelChip® was used to obtain the miRNA expression profiles from the 200 patients who underwent IVF treatment. In total, 143 out of the 167 miRNAs with amplification signals across 90% of the expression profiles were utilized to build a miRNA-based classifier. The microRNA-based classifier identified the optimal timing for embryo transfer with an accuracy of 93.9%, a sensitivity of 85.3%, and a specificity of 92.4% in the training set, and an accuracy of 88.5% in the testing set, showing high promise in accurately identifying the WOI for the optimal timing for embryo transfer.
摘要：
尽管在体外受精（IVF）领域取得了巨大的进步，一部分患者仍然受到胚胎植入失败问题的影响。导致植入失败的最重要因素之一是称为移位植入窗（WOI）的子宫疾病。这是指IVF患者的子宫内膜和胚胎移植时间不同步。先前的研究表明，microRNAs（miRNAs）可能是生殖过程中的重要生物标志物。在这项研究中,我们的目标是开发一种基于miRNA的分类器,以确定胚胎移植最佳时间的WOI.使用生殖相关的PanelChip®从接受IVF治疗的200名患者中获得miRNA表达谱。总的来说,利用在90%的表达谱中具有扩增信号的167个miRNA中的143个miRNA来构建基于miRNA的分类器。基于microRNA的分类器确定了胚胎移植的最佳时机，准确率为93.9%。灵敏度为85.3%，训练集中的特异性为92.4%，测试集的准确率为88.5%，在准确确定胚胎移植的最佳时机方面显示出很高的希望。
