Cargando…

Endometrial Immune Profiling: A Method to Design Personalized Care in Assisted Reproductive Medicine

Objective: To assess the efficiency of the endometrial immune profiling as a method to design personalized care to enhance the pregnancy rate in a large heterogeneous infertile population. We hypothesized that some reproductive failures could be induced by a uterine immune dysregulation which could...

Descripción completa

Detalles Bibliográficos
Autores principales: Lédée, Nathalie, Petitbarat, Marie, Prat-Ellenberg, Laura, Dray, Géraldine, Cassuto, Guy N., Chevrier, Lucie, Kazhalawi, Alaa, Vezmar, Katia, Chaouat, Gerard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7287127/
https://www.ncbi.nlm.nih.gov/pubmed/32582163
http://dx.doi.org/10.3389/fimmu.2020.01032
_version_ 1783545003109253120
author Lédée, Nathalie
Petitbarat, Marie
Prat-Ellenberg, Laura
Dray, Géraldine
Cassuto, Guy N.
Chevrier, Lucie
Kazhalawi, Alaa
Vezmar, Katia
Chaouat, Gerard
author_facet Lédée, Nathalie
Petitbarat, Marie
Prat-Ellenberg, Laura
Dray, Géraldine
Cassuto, Guy N.
Chevrier, Lucie
Kazhalawi, Alaa
Vezmar, Katia
Chaouat, Gerard
author_sort Lédée, Nathalie
collection PubMed
description Objective: To assess the efficiency of the endometrial immune profiling as a method to design personalized care to enhance the pregnancy rate in a large heterogeneous infertile population. We hypothesized that some reproductive failures could be induced by a uterine immune dysregulation which could be identified and corrected with a targeted plan. Design: Prospective cohort study. Setting: Multicentric study. Intervention(s) and Main outcome measure(s): One thousand and seven hundred thirty-eight infertile patients had an immune profiling on a timed endometrial biopsy between 2012 and 2018. This test documented the absence or the presence of an endometrial immune dysregulation and identified its type. In case of dysregulation, a targeted personalized plan was suggested to the treating clinician aiming to supply the anomaly. One year after the test, the clinician was contacted to provide the outcome of the subsequent embryo transfer with the applied suggested plan. Result(s): After testing, 16.5% of the patients showed no endometrial immune dysregulation, 28% had a local immune under-activation, 45% had a local immune over-activation, and 10.5% had a mixed endometrial immune profile. In patients with a history of repeated implantation failures (RIF) or recurrent miscarriages (RM), the pregnancy rate was significantly higher if an endometrial dysregulation was found and the personalized plan applied, compared to the patients with an apparent balanced immune profile (respectively 37.7 and 56% vs. 26.9 and 24%, p < 0.001). In contrast, in good prognosis IVF (in vitro fertilization) subgroup and patients using donor eggs, this difference was not significant between dysregulated and balanced subgroups, but higher pregnancy rates were observed in absence of dysregulation. For patients with immune over-activation, pregnancy rates were significantly higher for patients who had a test of sensitivity, regarding the type of immunotherapy introduced, when compared to the ones who did not (51 vs. 39.9%, p = 0.012). Conclusion(s): Local endometrial immunity appears to be a new and important parameter able to influence the prognosis of pregnancy. Targeted medical care in case of local immune dysregulation resulted in significantly higher pregnancy rates in RIF and RM patients.
format Online
Article
Text
id pubmed-7287127
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-72871272020-06-23 Endometrial Immune Profiling: A Method to Design Personalized Care in Assisted Reproductive Medicine Lédée, Nathalie Petitbarat, Marie Prat-Ellenberg, Laura Dray, Géraldine Cassuto, Guy N. Chevrier, Lucie Kazhalawi, Alaa Vezmar, Katia Chaouat, Gerard Front Immunol Immunology Objective: To assess the efficiency of the endometrial immune profiling as a method to design personalized care to enhance the pregnancy rate in a large heterogeneous infertile population. We hypothesized that some reproductive failures could be induced by a uterine immune dysregulation which could be identified and corrected with a targeted plan. Design: Prospective cohort study. Setting: Multicentric study. Intervention(s) and Main outcome measure(s): One thousand and seven hundred thirty-eight infertile patients had an immune profiling on a timed endometrial biopsy between 2012 and 2018. This test documented the absence or the presence of an endometrial immune dysregulation and identified its type. In case of dysregulation, a targeted personalized plan was suggested to the treating clinician aiming to supply the anomaly. One year after the test, the clinician was contacted to provide the outcome of the subsequent embryo transfer with the applied suggested plan. Result(s): After testing, 16.5% of the patients showed no endometrial immune dysregulation, 28% had a local immune under-activation, 45% had a local immune over-activation, and 10.5% had a mixed endometrial immune profile. In patients with a history of repeated implantation failures (RIF) or recurrent miscarriages (RM), the pregnancy rate was significantly higher if an endometrial dysregulation was found and the personalized plan applied, compared to the patients with an apparent balanced immune profile (respectively 37.7 and 56% vs. 26.9 and 24%, p < 0.001). In contrast, in good prognosis IVF (in vitro fertilization) subgroup and patients using donor eggs, this difference was not significant between dysregulated and balanced subgroups, but higher pregnancy rates were observed in absence of dysregulation. For patients with immune over-activation, pregnancy rates were significantly higher for patients who had a test of sensitivity, regarding the type of immunotherapy introduced, when compared to the ones who did not (51 vs. 39.9%, p = 0.012). Conclusion(s): Local endometrial immunity appears to be a new and important parameter able to influence the prognosis of pregnancy. Targeted medical care in case of local immune dysregulation resulted in significantly higher pregnancy rates in RIF and RM patients. Frontiers Media S.A. 2020-06-04 /pmc/articles/PMC7287127/ /pubmed/32582163 http://dx.doi.org/10.3389/fimmu.2020.01032 Text en Copyright © 2020 Lédée, Petitbarat, Prat-Ellenberg, Dray, Cassuto, Chevrier, Kazhalawi, Vezmar and Chaouat. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Lédée, Nathalie
Petitbarat, Marie
Prat-Ellenberg, Laura
Dray, Géraldine
Cassuto, Guy N.
Chevrier, Lucie
Kazhalawi, Alaa
Vezmar, Katia
Chaouat, Gerard
Endometrial Immune Profiling: A Method to Design Personalized Care in Assisted Reproductive Medicine
title Endometrial Immune Profiling: A Method to Design Personalized Care in Assisted Reproductive Medicine
title_full Endometrial Immune Profiling: A Method to Design Personalized Care in Assisted Reproductive Medicine
title_fullStr Endometrial Immune Profiling: A Method to Design Personalized Care in Assisted Reproductive Medicine
title_full_unstemmed Endometrial Immune Profiling: A Method to Design Personalized Care in Assisted Reproductive Medicine
title_short Endometrial Immune Profiling: A Method to Design Personalized Care in Assisted Reproductive Medicine
title_sort endometrial immune profiling: a method to design personalized care in assisted reproductive medicine
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7287127/
https://www.ncbi.nlm.nih.gov/pubmed/32582163
http://dx.doi.org/10.3389/fimmu.2020.01032
work_keys_str_mv AT ledeenathalie endometrialimmuneprofilingamethodtodesignpersonalizedcareinassistedreproductivemedicine
AT petitbaratmarie endometrialimmuneprofilingamethodtodesignpersonalizedcareinassistedreproductivemedicine
AT pratellenberglaura endometrialimmuneprofilingamethodtodesignpersonalizedcareinassistedreproductivemedicine
AT draygeraldine endometrialimmuneprofilingamethodtodesignpersonalizedcareinassistedreproductivemedicine
AT cassutoguyn endometrialimmuneprofilingamethodtodesignpersonalizedcareinassistedreproductivemedicine
AT chevrierlucie endometrialimmuneprofilingamethodtodesignpersonalizedcareinassistedreproductivemedicine
AT kazhalawialaa endometrialimmuneprofilingamethodtodesignpersonalizedcareinassistedreproductivemedicine
AT vezmarkatia endometrialimmuneprofilingamethodtodesignpersonalizedcareinassistedreproductivemedicine
AT chaouatgerard endometrialimmuneprofilingamethodtodesignpersonalizedcareinassistedreproductivemedicine