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Why 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 evidence

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Autor
Siristatidis C., Dafopoulos K., Papapanou M., Stavros S., Pouliakis A., Eleftheriades A., Sidiropoulou T., Vlahos N.
Fecha
2021
Language
en
DOI
10.3390/diagnostics11091602
Materia
adenosine triphosphate
high density lipoprotein
artificial neural network
bioinformatics
cell structure
clinical outcome
controlled study
embryo
embryo culture
embryo development
embryo transfer
evidence based practice
female
human
human cell
infertility therapy
liquid chromatography-mass spectrometry
machine learning
Medline
metabolomics
metabonomics
multiple pregnancy
near infrared spectroscopy
newborn disease
oocyte development
phenotype
proteomics
Raman spectrometry
Review
spontaneous abortion
standardization
transcriptomics
ultra performance liquid chromatography
MDPI
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Resumen
Metabolomics 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.
URI
http://hdl.handle.net/11615/79052
Colecciones
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [19735]
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