2017
DOI: 10.1002/14651858.cd011872.pub2
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Metabolomics for improving pregnancy outcomes in women undergoing assisted reproductive technologies

Abstract: According to current trials in women undergoing ART, there is insufficient evidence to show that metabolomic assessment of embryos before implantation has any meaningful effect on rates of live birth, ongoing pregnancy, or miscarriage rates. The existing evidence varied from very low to low-quality. Data on adverse events were sparse, so we could not reach conclusions on these. At the moment, there is no evidence to support or refute the use of this technique for subfertile women undergoing ART. Robust evidenc… Show more

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Cited by 10 publications
(7 citation statements)
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“…The integration of metabolomics into ART could assist the selection of viable embryos and competent oocytes, as well as the creation of a healthy and receptive endometrium for implantation. Specifically, metabolomics could improve the associated procedures and increase the success rates of ART by reducing implantation failures, miscarriages, multiple pregnancies, ectopic pregnancies, and fetal abnormalities, thus alleviating the emotional and socioeconomic consequences that accompany them [ 9 ].…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…The integration of metabolomics into ART could assist the selection of viable embryos and competent oocytes, as well as the creation of a healthy and receptive endometrium for implantation. Specifically, metabolomics could improve the associated procedures and increase the success rates of ART by reducing implantation failures, miscarriages, multiple pregnancies, ectopic pregnancies, and fetal abnormalities, thus alleviating the emotional and socioeconomic consequences that accompany them [ 9 ].…”
Section: Resultsmentioning
confidence: 99%
“…A recent study protocol proposed how the measurement of different classes of metabolomics parameters may be incorporated into such a large database of patient demographics, previous cycle characteristics, used protocols, underlying infertility conditions, sperm as well as other “omics” parameters and, with the assistance of ANNs, provide valuable predictions of IVF outcomes (i.e., clinical pregnancy rates, live birth rates, miscarriage rates, multiple pregnancy rates) [ 53 ]. Even without the implementation of AI, such a database would be extremely meaningful as it would be able to address one of the main pitfalls of metabolomics’ utilization in IVF so far; that is, the inconsistency between different studies, patients, and settings [ 9 ], or even the variability between metabolomics biomarkers used [ 10 , 11 , 19 , 21 , 33 ]. Multivariable analyses conducted through the collected evidence could account for a variety of parameters and sources of heterogeneity between different infertility groups and involved IVF clinics and potentially identify specific patient subgroups in which specific metabolomics measurements lead to more accurate predictions and true improvement of IVF outcomes.…”
Section: Suggested Stepsmentioning
confidence: 99%
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“…The quiet embryo hypothesis as well as the employment of metabolomics for selecting the optimal embryo to transfer seem promising, however, they have not been validated by large RCTs and meta-analyses. The sole meta-analysis hitherto evaluating metabolomics has reported that no statistically significant difference was observed regarding clinical pregnancy rates [ 139 ]. However, the meta-analysis evaluated only four RCTs, with a total sample size of less than 1000 embryos.…”
Section: Resultsmentioning
confidence: 99%
“…Recent research in this area has focused on finding a viable endometrial receptivity marker that may help to identify the best moment to perform an embryo transfer (Edgell et al, 2013;Evans et al, 2018;Kliman & Frankfurter, 2019;Miravet-Valenciano et al, 2015;Siristatidis et al, 2018). Histologically, endometrial maturity can be classified using the Noyes criteria (Kliman & Frankfurter, 2019;Noyes et al, 1950;Paulson, 2019), which characterizes the endometrium into its phases (Complementary table).…”
Section: Introductionmentioning
confidence: 99%