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基于子宫内膜微小RNA开发新型子宫内膜特征以确定胚胎移植的最佳时机

Development of a Novel Endometrial Signature Based on Endometrial microRNA for Determining the Optimal Timing for Embryo Transfer.

作者信息

Chen Ching-Hung, Lu Farn, Yang Wen-Jui, Chen Wei-Ming, Yang Pok Eric, Kang Shih-Ting, Wang Tiffany, Chang Po-Chang, Feng Chi-Ting, Yang Jung-Hsuan, Liu Chen-Yu, Hsieh Chi-An, Wang Lily Hui-Ching, Huang Jack Yu-Jen

机构信息

Institute of Molecular and Cellular Biology, National Tsing Hua University, Hsinchu 300, Taiwan.

Department of Obstetrics and Gynecology, Ton Yen General Hospital, Hsinchu 302, Taiwan.

出版信息

Biomedicines. 2024 Mar 21;12(3):700. doi: 10.3390/biomedicines12030700.

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

尽管体外受精(IVF)领域已经取得了巨大进展,但仍有一部分患者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一种称为植入窗移位(WOI)的子宫状况,它指的是IVF患者子宫内膜与胚胎移植时间不同步。先前的研究表明,微小RNA(miRNA)可能是生殖过程中的重要生物标志物。在本研究中,我们旨在开发一种基于miRNA的分类器,以识别WOI,确定胚胎移植的最佳时间。使用一种与生殖相关的PanelChip从200名接受IVF治疗的患者中获取miRNA表达谱。在167个在90%的表达谱中具有扩增信号的miRNA中,总共143个被用于构建基于miRNA的分类器。基于miRNA的分类器在训练集中识别胚胎移植最佳时机的准确率为93.9%,灵敏度为85.3%,特异性为92.4%,在测试集中的准确率为88.5%,在准确识别WOI以确定胚胎移植最佳时机方面显示出很高的前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/edd1/10968378/54164b1f5070/biomedicines-12-00700-g001.jpg

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