ArticleDiagnostics (Basel, Switzerland)2021
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.
Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06094439 (Targeted Metabolomics of Spent Embryo Culture Medium), which is not on this map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Targeted Metabolomics of Spent Embryo Culture Medium
Who cites it
11 citing papers in PubMed, 14 citations in OpenAlex.
- The problem lies in the medium: challenges for diagnostic use of spent culture media in IVF.Frontiers in reproductive health · 2026Article
- Follicular Fluid Metabolomics: Tool for Predicting IVF Outcomes of Different Infertility Causes.Reproductive sciences (Thousand Oaks, Calif.) · 2025Review
- The quest for metabolic biomarkers of IVF outcomes: a meta-analysis and critical review.Frontiers in cell and developmental biology · 2025Review
- A critical review of the recent concept of regulatory performance of DNA Methylations, and DNA methyltransferase enzymes alongside the induction of immune microenvironment elements in recurrent pregnancy loss.Toxicology reports · 2024Review
- The prospect of artificial intelligence to personalize assisted reproductive technology.NPJ digital medicine · 2024Review
- Metabolomics Integration in Assisted Reproductive Technologies for Enhanced Embryo Selection beyond Morphokinetic Analysis.International journal of molecular sciences · 2023Article
- Combining Machine Learning with Metabolomic and Embryologic Data Improves Embryo Implantation Prediction.Reproductive sciences (Thousand Oaks, Calif.) · 2023Article
- Omics in Clinical Practice: How Far Are We?Diagnostics (Basel, Switzerland) · 2022Article
- Updates in Assisted Reproduction.Journal of clinical medicine · 2022Article
- Recent progress in metabolomics for analyzing common infertility conditions that affect ovarian function.Reproductive medicine and biologyReview
- Decoding the Follicular Fluid Microenvironment: Integrative Biomarkers and Multiomics Signatures to Predict IVF Outcomes.Reproductive medicine and biologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 investigate 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 populations, 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.