Literature DB >> 32096829

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

Purificación Hernández-Vargas1,2, Manuel Muñoz1,2, Francisco Domínguez2.   

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.
© The Author(s) 2020. Published by Oxford University Press on behalf of the European Society of Human Reproduction and Embryology. All rights reserved. For permissions, please e-mail: journals.permission@oup.com.

Entities:  

Keywords:  biomarkers; embryo viability; endometrial receptivity; epigenomics; genomics; implantation; integrative models; metabolomics; proteomics; transcriptomics

Year:  2020        PMID: 32096829     DOI: 10.1093/humupd/dmz042

Source DB:  PubMed          Journal:  Hum Reprod Update        ISSN: 1355-4786            Impact factor:   15.610


  16 in total

1.  Combining Machine Learning with Metabolomic and Embryologic Data Improves Embryo Implantation Prediction.

Authors:  Aswathi Cheredath; Shubhashree Uppangala; Asha C S; Ameya Jijo; Vani Lakshmi R; Pratap Kumar; David Joseph; Nagana Gowda G A; Guruprasad Kalthur; Satish Kumar Adiga
Journal:  Reprod Sci       Date:  2022-09-12       Impact factor: 2.924

Review 2.  Gene Therapy for Malignant and Benign Gynaecological Disorders: A Systematic Review of an Emerging Success Story.

Authors:  Ekati Drakopoulou; Nicholas P Anagnou; Kalliopi I Pappa
Journal:  Cancers (Basel)       Date:  2022-06-30       Impact factor: 6.575

3.  Development of a dynamic machine learning algorithm to predict clinical pregnancy and live birth rate with embryo morphokinetics.

Authors:  Liubin Yang; Mary Peavey; Khalied Kaskar; Neil Chappell; Lynn Zhu; Darius Devlin; Cecilia Valdes; Amy Schutt; Terri Woodard; Paul Zarutskie; Richard Cochran; William E Gibbons
Journal:  F S Rep       Date:  2022-04-15

4.  The Lifestyle Modifications and Endometrial Proteome Changes of Women With Polycystic Ovary Syndrome and Obesity.

Authors:  D Abdulkhalikova; A Sustarsic; Eda Vrtačnik Bokal; N Jancar; M Jensterle; T Burnik Papler
Journal:  Front Endocrinol (Lausanne)       Date:  2022-06-22       Impact factor: 6.055

Review 5.  The Interaction Between Microorganisms, Metabolites, and Immune System in the Female Genital Tract Microenvironment.

Authors:  Huanrong Li; Yuqin Zang; Chen Wang; Huiyang Li; Aiping Fan; Cha Han; Fengxia Xue
Journal:  Front Cell Infect Microbiol       Date:  2020-12-23       Impact factor: 5.293

6.  NGS-Based Application for Routine Non-Invasive Pre-Implantation Genetic Assessment in IVF.

Authors:  Katalin Gombos; Bence Gálik; Krisztina Ildikó Kalács; Krisztina Gödöny; Ákos Várnagy; Donát Alpár; József Bódis; Attila Gyenesei; Gábor L Kovács
Journal:  Int J Mol Sci       Date:  2021-02-28       Impact factor: 5.923

7.  RNA Demethylase FTO Mediated RNA m6A Modification Is Involved in Maintaining Maternal-Fetal Interface in Spontaneous Abortion.

Authors:  Weiyu Qiu; Yuexi Zhou; Haiwang Wu; Xiaoli Lv; Lilin Yang; Zhenxing Ren; He Tian; Qingying Yu; Jing Li; Weixian Lin; Ling Zhao; Songping Luo; Jie Gao
Journal:  Front Cell Dev Biol       Date:  2021-07-19

Review 8.  The Role of Interleukins in Recurrent Implantation Failure: A Comprehensive Review of the Literature.

Authors:  Konstantinos Pantos; Sokratis Grigoriadis; Evangelos Maziotis; Kalliopi Pistola; Paraskevi Xystra; Agni Pantou; Georgia Kokkali; Athanasios Pappas; Maria Lambropoulou; Konstantinos Sfakianoudis; Mara Simopoulou
Journal:  Int J Mol Sci       Date:  2022-02-16       Impact factor: 5.923

9.  Non-invasive Embryo Assessment: Altered Individual Protein Profile in Spent Culture Media from Embryos Transferred at Day 5.

Authors:  Alexander Freis; Sabine Roesner; Anne Marshall; Julia Rehnitz; Kyra von Horn; Edison Capp; Jens Erik Dietrich; Thomas Strowitzki; Ariane Germeyer
Journal:  Reprod Sci       Date:  2020-11-05       Impact factor: 3.060

10.  Glucocorticoid therapy in assisted reproduction.

Authors:  Yong Jin Kim
Journal:  Clin Exp Reprod Med       Date:  2021-11-30
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