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dc.contributor.authorZhou, W
dc.contributor.authorDimitriadis, E
dc.date.accessioned2020-11-17T03:56:10Z
dc.date.available2020-11-17T03:56:10Z
dc.date.issued2020-09-22
dc.identifier.citationZhou, W. & Dimitriadis, E. (2020). Secreted MicroRNA to Predict Embryo Implantation Outcome: From Research to Clinical Diagnostic Application. FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY, 8, https://doi.org/10.3389/fcell.2020.586510.
dc.identifier.issn2296-634X
dc.identifier.urihttp://hdl.handle.net/11343/251646
dc.description.abstractEmbryo implantation failure is considered a leading cause of infertility and a significant bottleneck for in vitro fertilization (IVF) treatment. Confirmed factors that lead to implantation failure involve unhealthy embryos, unreceptive endometrium, and asynchronous development and communication between the two. The quality of embryos is further dependent on sperm parameters, oocyte quality, and early embryo development after fertilization. The extensive involvement of such different factors contributes to the variability of implantation potential across different menstrual cycles. An ideal approach to predict the implantation outcome should not compromise embryo implantation. The use of clinical material, including follicular fluid, cumulus cells, sperm, seminal exosomes, spent blastocyst culture medium, blood, and uterine fluid, that can be collected relatively non-invasively without compromising embryo implantation in a transfer cycle opens new perspectives for the diagnosis of embryo implantation potential. Compositional comparison of these samples between fertile women and women or couples with implantation failure has identified both quantitative and qualitative differences in the expression of microRNAs (miRs) that hold diagnostic potential for implantation failure. Here, we review current findings of secreted miRs that have been identified to potentially be useful in predicting implantation outcome using material that can be collected relatively non-invasively. Developing non-invasive biomarkers of implantation potential would have a major impact on implantation failure and infertility.
dc.languageEnglish
dc.publisherFRONTIERS MEDIA SA
dc.titleSecreted MicroRNA to Predict Embryo Implantation Outcome: From Research to Clinical Diagnostic Application
dc.typeJournal Article
dc.identifier.doi10.3389/fcell.2020.586510
melbourne.affiliation.departmentObstetrics and Gynaecology
melbourne.source.titleFrontiers in Cell and Developmental Biology
melbourne.source.volume8
dc.rights.licenseCC BY
melbourne.elementsid1467105
melbourne.contributor.authorZhou, Wei
melbourne.contributor.authorDimitriadis, Evdokia
dc.identifier.eissn2296-634X
melbourne.accessrightsOpen Access


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