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基于 RT-qPCR 基因表达分析的新型全面可靠的子宫内膜容受性图谱(ER 图谱/ER 分级)的开发。

Development of a new comprehensive and reliable endometrial receptivity map (ER Map/ER Grade) based on RT-qPCR gene expression analysis.

机构信息

iGLS, C/Britania 7, 03540, Alicante, Spain.

University Pablo de Olavide, Ctra. Utrera, km 1, 41013 Sevilla, Spain.

出版信息

Hum Reprod. 2018 Feb 1;33(2):220-228. doi: 10.1093/humrep/dex370.

DOI:10.1093/humrep/dex370
PMID:29315421
Abstract

STUDY QUESTION

Is it possible to determine the receptivity status of an endometrium by combined quantitative reverse transcription PCR (RT-qPCR) expression analysis of genes involved in endometrial proliferation and immunity?

SUMMARY ANSWER

The new ER Map®/ER Grade® test can predict endometrial receptivity status by RT-qPCR using a new panel of genes involved in endometrial proliferation and the maternal immune response associated to embryonic implantation.

WHAT IS KNOWN ALREADY

The human endometrium reaches a receptive status adequate for embryonic implantation around Days 19-21 of the menstrual cycle. During this period, known as the window of implantation (WOI), the endometrium shows a specific gene expression profile suitable for endometrial function evaluation. The number of molecular diagnostic tools currently available to characterize this process is very limited. In this study, a new system for human endometrial receptivity evaluation was optimized and presented for the first time.

STUDY DESIGN, SIZE, DURATION: ER Map®/ER Grade® validation was achieved on 312 endometrial samples including fertile women and patients undergoing fertility treatment between July 2014 and March 2016. Expression analyses of 184 genes involved in endometrial receptivity and immune response were performed. Samples were additionally tested with an independent endometrial receptivity test.

PARTICIPANTS/MATERIALS, SETTING, METHODS: A total of 96 fertile women and 120 assisted reproduction treatment (ART) patients participated in the study. Endometrial biopsy samples were obtained at LH + 2 and LH + 7 days in fertile subjects in a natural cycle and at the window of implantation (WOI) in patients in a hormone-replacement therapy (HRT) cycle. Total RNA was purified, quality-checked and reverse-transcribed. Gene expression was quantified by high-throughput RT-qPCR and statistically analyzed. Informative genes were selected and used to classify samples into four different groups of endometrial receptivity status.

MAIN RESULTS AND THE ROLE OF CHANCE

Significantly different gene expression levels were found in 85 out of 184 selected genes when comparing LH + 2 and LH + 7 samples (paired t-test, P < 0.05). Gene ontology analyses revealed that cell division and proliferation, cell signaling and response, extracellular organization and communication, immunological activity, vascular proliferation, blood pressure regulation and embryo implantation are the most over-represented biological terms in this group of genes. Principal component analysis and discriminant functional analysis showed that 40 of the differentially expressed genes allowed accurate classification of samples according to endometrial status (proliferative, pre-receptive, receptive and post-receptive) in both fertile and infertile groups.

LARGE SCALE DATA

N/A.

LIMITATIONS, REASONS FOR CAUTION: To evaluate the efficacy of this new tool to improve ART outcomes, further investigations such as non-selection studies and randomized controlled trials will also be required.

WIDER IMPLICATIONS OF THE FINDINGS

A new comprehensive system for human endometrial receptivity evaluation based on gene expression analysis has been developed. The identification of the optimal time for embryo transfer is essential to maximize the effectiveness of ART. This study is a new step in the field of personalized medicine in human reproduction which may help in the management of endometrial preparation for embryo transfer, increasing the chances of pregnancy for many couples.

STUDY FUNDING/COMPETING INTEREST(S): The authors have no potential conflict of interest to declare. No external funding was obtained for this study.

摘要

研究问题

通过涉及子宫内膜增殖和与胚胎着床相关的母体免疫反应的基因的定量逆转录聚合酶链反应(RT-qPCR)表达分析,是否可以确定子宫内膜的接受状态?

总结答案

新的 ER Map®/ER Grade® 测试可以通过 RT-qPCR 使用涉及子宫内膜增殖和与胚胎着床相关的母体免疫反应的新基因组合来预测子宫内膜接受状态。

已知情况

人类子宫内膜在月经周期的第 19-21 天左右达到适合胚胎着床的接受状态。在此期间,称为着床窗口(WOI),子宫内膜显示出适合评估子宫内膜功能的特定基因表达谱。目前可用于描述这一过程的分子诊断工具数量非常有限。在这项研究中,优化并首次提出了一种新的人类子宫内膜接受能力评估系统。

研究设计、大小和持续时间:ER Map®/ER Grade® 的验证是在 2014 年 7 月至 2016 年 3 月期间进行的,包括有生育能力的女性和接受生育治疗的患者在内的 312 个子宫内膜样本上完成的。对涉及子宫内膜接受能力和免疫反应的 184 个基因的表达进行了分析。样品还使用独立的子宫内膜接受能力测试进行了测试。

参与者/材料、设置、方法:共有 96 名有生育能力的女性和 120 名接受辅助生殖治疗(ART)的患者参加了这项研究。在自然周期中,有生育能力的受试者在 LH + 2 和 LH + 7 天获得子宫内膜活检样本,在激素替代治疗(HRT)周期中,在着床窗口(WOI)获得样本。纯化、检查和逆转录总 RNA。通过高通量 RT-qPCR 定量基因表达,并进行统计学分析。选择有意义的基因,并将其用于将样本分类为四种不同的子宫内膜接受状态组。

主要结果和机会的作用

在比较 LH + 2 和 LH + 7 样本时,在 184 个选定基因中有 85 个基因的表达水平有显著差异(配对 t 检验,P < 0.05)。基因本体分析显示,细胞分裂和增殖、细胞信号转导和反应、细胞外组织和通讯、免疫活性、血管增殖、血压调节和胚胎着床是这群基因中最突出的生物学术语。主成分分析和判别功能分析表明,40 个差异表达基因允许根据有生育能力和不育组中子宫内膜的状态(增殖、预接受、接受和接受后)对样本进行准确分类。

大规模数据

无。

局限性、谨慎的原因:为了评估这种新工具提高辅助生殖技术效果的功效,还需要进行非选择研究和随机对照试验等进一步研究。

研究结果的更广泛意义

已经开发出一种新的基于基因表达分析的人类子宫内膜接受能力综合评估系统。确定胚胎移植的最佳时间对于最大限度地提高辅助生殖技术的有效性至关重要。这项研究是人类生殖个性化医学领域的新一步,这可能有助于管理胚胎移植的子宫内膜准备,增加许多夫妇怀孕的机会。

作者没有潜在的利益冲突需要声明。这项研究没有获得外部资金。

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