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Endometrial Receptivity Analysis (ERA): data versus opinions

This article summarises and contextualises the accumulated basic and clinical data on the ERA test and addresses specific comments and opinions presented by the opponent as part of an invited debate. Progress in medicine depends on new technologies and concepts that translate to practice to solve lo...

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Autores principales: Ruiz-Alonso, Maria, Valbuena, Diana, Gomez, Carlos, Cuzzi, Juliana, Simon, Carlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8045472/
https://www.ncbi.nlm.nih.gov/pubmed/33880420
http://dx.doi.org/10.1093/hropen/hoab011
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author Ruiz-Alonso, Maria
Valbuena, Diana
Gomez, Carlos
Cuzzi, Juliana
Simon, Carlos
author_facet Ruiz-Alonso, Maria
Valbuena, Diana
Gomez, Carlos
Cuzzi, Juliana
Simon, Carlos
author_sort Ruiz-Alonso, Maria
collection PubMed
description This article summarises and contextualises the accumulated basic and clinical data on the ERA test and addresses specific comments and opinions presented by the opponent as part of an invited debate. Progress in medicine depends on new technologies and concepts that translate to practice to solve long-standing problems. In a key example, combining RNA sequencing data (transcriptomics) with artificial intelligence (AI) led to a clinical revolution in personalising disease diagnosis and fostered the concept of precision medicine. The reproductive field is no exception. Translation of endometrial transcriptomics to the clinic yielded an objective definition of the limited time period during which the maternal endometrium is receptive to an embryo, known as the window of implantation (WOI). The WOI is induced by the presence of exogenous and/or endogenous progesterone (P) after proper oestradiol (E(2)) priming. The window lasts 30–36 hours and, depending on the patient, occurs between LH + 6 and LH + 9 in natural cycles or between P + 4 and P + 7 in hormonal replacement therapy (HRT) cycles. In approximately 30% of IVF cycles in which embryo transfer is performed blindly, the WOI is displaced and embryo-endometrial synchrony is not achieved. Extending this application of endometrial transcriptomics, the endometrial receptivity analysis (ERA) test couples next-generation sequencing (NGS) to a computational predictor to identify transcriptomic signatures for each endometrial stage: proliferative (PRO), pre-receptive (PRE), receptive (R) and post-receptive (POST). In this way, personalised embryo transfer (pET) may be possible by synchronising embryo transfer with each patient’s WOI. Data are the only way to confront arguments sustained in opinions and/or misleading concepts; it is up to the reader to make their own conclusions regarding its clinical utility.
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spelling pubmed-80454722021-04-19 Endometrial Receptivity Analysis (ERA): data versus opinions Ruiz-Alonso, Maria Valbuena, Diana Gomez, Carlos Cuzzi, Juliana Simon, Carlos Hum Reprod Open Debate Continued This article summarises and contextualises the accumulated basic and clinical data on the ERA test and addresses specific comments and opinions presented by the opponent as part of an invited debate. Progress in medicine depends on new technologies and concepts that translate to practice to solve long-standing problems. In a key example, combining RNA sequencing data (transcriptomics) with artificial intelligence (AI) led to a clinical revolution in personalising disease diagnosis and fostered the concept of precision medicine. The reproductive field is no exception. Translation of endometrial transcriptomics to the clinic yielded an objective definition of the limited time period during which the maternal endometrium is receptive to an embryo, known as the window of implantation (WOI). The WOI is induced by the presence of exogenous and/or endogenous progesterone (P) after proper oestradiol (E(2)) priming. The window lasts 30–36 hours and, depending on the patient, occurs between LH + 6 and LH + 9 in natural cycles or between P + 4 and P + 7 in hormonal replacement therapy (HRT) cycles. In approximately 30% of IVF cycles in which embryo transfer is performed blindly, the WOI is displaced and embryo-endometrial synchrony is not achieved. Extending this application of endometrial transcriptomics, the endometrial receptivity analysis (ERA) test couples next-generation sequencing (NGS) to a computational predictor to identify transcriptomic signatures for each endometrial stage: proliferative (PRO), pre-receptive (PRE), receptive (R) and post-receptive (POST). In this way, personalised embryo transfer (pET) may be possible by synchronising embryo transfer with each patient’s WOI. Data are the only way to confront arguments sustained in opinions and/or misleading concepts; it is up to the reader to make their own conclusions regarding its clinical utility. Oxford University Press 2021-04-14 /pmc/articles/PMC8045472/ /pubmed/33880420 http://dx.doi.org/10.1093/hropen/hoab011 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of European Society of Human Reproduction and Embryology. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Debate Continued
Ruiz-Alonso, Maria
Valbuena, Diana
Gomez, Carlos
Cuzzi, Juliana
Simon, Carlos
Endometrial Receptivity Analysis (ERA): data versus opinions
title Endometrial Receptivity Analysis (ERA): data versus opinions
title_full Endometrial Receptivity Analysis (ERA): data versus opinions
title_fullStr Endometrial Receptivity Analysis (ERA): data versus opinions
title_full_unstemmed Endometrial Receptivity Analysis (ERA): data versus opinions
title_short Endometrial Receptivity Analysis (ERA): data versus opinions
title_sort endometrial receptivity analysis (era): data versus opinions
topic Debate Continued
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8045472/
https://www.ncbi.nlm.nih.gov/pubmed/33880420
http://dx.doi.org/10.1093/hropen/hoab011
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