Identifying biomarkers for predicting successful embryo implantation: applying single to multi-OMICs to improve reproductive outcomes

组学 胚胎 生物信息学 生物 计算生物学 医学 遗传学
作者
Purificación Hernández-Vargas,Manuel Muñoz,Francisco Domı́nguez
出处
期刊:Human Reproduction Update [Oxford University Press]
卷期号:26 (2): 264-301 被引量:120
标识
DOI:10.1093/humupd/dmz042
摘要

Abstract BACKGROUND Successful embryo implantation is a complex process that requires the coordination of a series of events, involving both the embryo and the maternal endometrium. Key to this process is the intricate cascade of molecular mechanisms regulated by endocrine, paracrine and autocrine modulators of embryonic and maternal origin. Despite significant progress in ART, implantation failure still affects numerous infertile couples worldwide and fewer than 10% of embryos successfully implant. Improved selection of both the viable embryos and the optimal endometrial phenotype for transfer remains crucial to enhancing implantation chances. However, both classical morphological embryo selection and new strategies incorporated into clinical practice, such as embryonic genetic analysis, morphokinetics or ultrasound endometrial dating, remain insufficient to predict successful implantation. Additionally, no techniques are widely applied to analyse molecular signals involved in the embryo–uterine interaction. More reliable biological markers to predict embryo and uterine reproductive competence are needed to improve pregnancy outcomes. Recent years have seen a trend towards ‘omics’ methods, which enable the assessment of complete endometrial and embryonic molecular profiles during implantation. Omics have advanced our knowledge of the implantation process, identifying potential but rarely implemented biomarkers of successful implantation. OBJECTIVE AND RATIONALE Differences between the findings of published omics studies, and perhaps because embryonic and endometrial molecular signatures were often not investigated jointly, have prevented firm conclusions being reached. A timely review summarizing omics studies on the molecular determinants of human implantation in both the embryo and the endometrium will help facilitate integrative and reliable omics approaches to enhance ART outcomes. SEARCH METHODS In order to provide a comprehensive review of the literature published up to September 2019, Medline databases were searched using keywords pertaining to omics, including ‘transcriptome’, ‘proteome’, ‘secretome’, ‘metabolome’ and ‘expression profiles’, combined with terms related to implantation, such as ‘endometrial receptivity’, ‘embryo viability’ and ‘embryo implantation’. No language restrictions were imposed. References from articles were also used for additional literature. OUTCOMES Here we provide a complete summary of the major achievements in human implantation research supplied by omics approaches, highlighting their potential to improve reproductive outcomes while fully elucidating the implantation mechanism. The review highlights the existence of discrepancies among the postulated biomarkers from studies on embryo viability or endometrial receptivity, even using the same omic analysis. WIDER IMPLICATIONS Despite the huge amount of biomarker information provided by omics, we still do not have enough evidence to link data from all omics with an implantation outcome. However, in the foreseeable future, application of minimally or non-invasive omics tools, together with a more integrative interpretation of uniformly collected data, will help to overcome the difficulties for clinical implementation of omics tools. Omics assays of the embryo and endometrium are being proposed or already being used as diagnostic tools for personalised single-embryo transfer in the most favourable endometrial environment, avoiding the risk of multiple pregnancies and ensuring better pregnancy rates.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
林夕应助科研通管家采纳,获得20
刚刚
朱志伟发布了新的文献求助10
刚刚
刚刚
林夕应助科研通管家采纳,获得20
刚刚
林夕应助科研通管家采纳,获得20
刚刚
林夕应助科研通管家采纳,获得20
刚刚
Hello应助科研通管家采纳,获得10
刚刚
慕青应助科研通管家采纳,获得10
刚刚
斯文败类应助科研通管家采纳,获得10
刚刚
2秒前
aiyangyang完成签到 ,获得积分10
2秒前
12完成签到 ,获得积分10
6秒前
11M发布了新的文献求助10
7秒前
小莫完成签到 ,获得积分10
11秒前
12秒前
30040完成签到,获得积分10
12秒前
11M完成签到,获得积分10
14秒前
奋斗诗云完成签到 ,获得积分10
15秒前
haihai完成签到 ,获得积分10
18秒前
脆脆小甜椒应助马秀玲采纳,获得10
30秒前
小静发布了新的文献求助10
33秒前
张图门完成签到 ,获得积分10
38秒前
博修完成签到,获得积分10
39秒前
GTR的我完成签到 ,获得积分10
43秒前
FZz完成签到 ,获得积分10
43秒前
48秒前
51秒前
hiraabb完成签到 ,获得积分10
52秒前
笛卡尔的情书完成签到 ,获得积分10
53秒前
54秒前
以太发布了新的文献求助30
55秒前
57秒前
amy完成签到 ,获得积分10
58秒前
59秒前
SUNNYONE完成签到 ,获得积分10
1分钟前
1分钟前
曈曦完成签到 ,获得积分10
1分钟前
leo0531完成签到 ,获得积分10
1分钟前
1分钟前
Wywy发布了新的文献求助10
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
模型平均及其应用 900
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
Évora na Idade Média 555
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 550
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7347065
求助须知:如何正确求助?哪些是违规求助? 8959117
关于积分的说明 19024118
捐赠科研通 6997508
什么是DOI,文献DOI怎么找? 3220150
关于科研通互助平台的介绍 2385145
邀请新用户注册赠送积分活动 2200379