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dc.creatorSiristatidis C., Dafopoulos K., Papapanou M., Stavros S., Pouliakis A., Eleftheriades A., Sidiropoulou T., Vlahos N.en
dc.date.accessioned2023-01-31T09:57:07Z
dc.date.available2023-01-31T09:57:07Z
dc.date.issued2021
dc.identifier10.3390/diagnostics11091602
dc.identifier.issn20754418
dc.identifier.urihttp://hdl.handle.net/11615/79052
dc.description.abstractMetabolomics emerged to give clinicians the necessary information on the competence, in terms of physiology and function, of gametes, embryos, and the endometrium towards a targeted infertility treatment, namely, assisted reproduction techniques (ART). Our minireview aims to inves-tigate the current status of the use of metabolomics in assisted reproduction, the potential flaws in its use, and to propose specific solutions towards the improvement of ART outcomes through the use of the intervention. We used published reports assessing the role of metabolomic investigation of the endometrium, oocytes, and embryos in improving clinical outcomes in women undergoing ART. We initially found that there is no evidence to support that fertility outcomes can be improved through metabolomics profiling. In contrast, it may be helpful for understanding and appraising the nutritional environment of oocytes and embryos. The causes include the different infertility popula-tions, the difference between animals and humans, technical limitations, and the great heterogeneity in the variables employed. Suggested steps include the standardization of variables of the method itself, the universal creation of a panel where all biomarkers are stored concerning specific infertile populations with different phenotypes or etiologies, specific bioinformatics contribution, significant computing power for data processing, and importantly, properly conducted trials. © 2021 by the authorsLicensee MDPI, Basel, Switzerland.en
dc.language.isoenen
dc.sourceDiagnosticsen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85114454738&doi=10.3390%2fdiagnostics11091602&partnerID=40&md5=7c3d5c07983b606112ff57534b647918
dc.subjectadenosine triphosphateen
dc.subjecthigh density lipoproteinen
dc.subjectartificial neural networken
dc.subjectbioinformaticsen
dc.subjectcell structureen
dc.subjectclinical outcomeen
dc.subjectcontrolled studyen
dc.subjectembryoen
dc.subjectembryo cultureen
dc.subjectembryo developmenten
dc.subjectembryo transferen
dc.subjectevidence based practiceen
dc.subjectfemaleen
dc.subjecthumanen
dc.subjecthuman cellen
dc.subjectinfertility therapyen
dc.subjectliquid chromatography-mass spectrometryen
dc.subjectmachine learningen
dc.subjectMedlineen
dc.subjectmetabolomicsen
dc.subjectmetabonomicsen
dc.subjectmultiple pregnancyen
dc.subjectnear infrared spectroscopyen
dc.subjectnewborn diseaseen
dc.subjectoocyte developmenten
dc.subjectphenotypeen
dc.subjectproteomicsen
dc.subjectRaman spectrometryen
dc.subjectReviewen
dc.subjectspontaneous abortionen
dc.subjectstandardizationen
dc.subjecttranscriptomicsen
dc.subjectultra performance liquid chromatographyen
dc.subjectMDPIen
dc.titleWhy has metabolomics so far not managed to efficiently contribute to the improvement of assisted reproduction outcomes? The answer through a review of the best available current evidenceen
dc.typeotheren


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