When the Embryo Meets the Endometrium: Identifying the Features Required for Successful Embryo Implantation.
AI
ART
IVF
blastocyst
embryo
endometrial receptivity
extracellular vesicles
implantation
secretome
transcriptomic signature
Journal
International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791
Informations de publication
Date de publication:
29 Feb 2024
29 Feb 2024
Historique:
received:
18
01
2024
revised:
22
02
2024
accepted:
27
02
2024
medline:
13
3
2024
pubmed:
13
3
2024
entrez:
13
3
2024
Statut:
epublish
Résumé
Evaluation of the optimal number of embryos, their quality, and the precise timing for transfer are critical determinants in reproductive success, although still remaining one of the main challenges in assisted reproduction technologies (ART). Indeed, the success of in vitro fertilization (IVF) treatments relies on a multitude of events and factors involving both the endometrium and the embryo. Despite concerted efforts on both fronts, the overall success rates of IVF techniques continue to range between 25% and 30%. The role of the endometrium in implantation has been recently recognized, leading to the hypothesis that both the "soil" and the "seed" play a central role in a successful pregnancy. In this respect, identification of the molecular signature of endometrial receptivity together with the selection of the best embryo for transfer become crucial in ART. Currently, efforts have been made to develop accurate, predictive, and personalized tests to identify the window of implantation and the best quality embryo. However, the value of these tests is still debated, as conflicting results are reported in the literature. The purpose of this review is to summarize and critically report the available criteria to optimize the success of embryo transfer and to better understand current limitations and potential areas for improvement.
Identifiants
pubmed: 38474081
pii: ijms25052834
doi: 10.3390/ijms25052834
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Regione Lazio, LazioInnova
ID : A0375-2020-36775