» Articles » PMID: 34573944

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

Overview
Specialty Radiology
Date 2021 Sep 28
PMID 34573944
Citations 7
Authors
Affiliations
Soon will be listed here.
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.

Citing Articles

Recent progress in metabolomics for analyzing common infertility conditions that affect ovarian function.

Kobayashi H, Imanaka S Reprod Med Biol. 2024; 23(1):e12609.

PMID: 39351127 PMC: 11442066. DOI: 10.1002/rmb2.12609.


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.

Babaei K, Aziminezhad M, Mirzajani E, Mozdarani H, Sharami S, Norollahi S Toxicol Rep. 2024; 12:546-563.

PMID: 38798987 PMC: 11127471. DOI: 10.1016/j.toxrep.2024.05.001.


The prospect of artificial intelligence to personalize assisted reproductive technology.

Hanassab S, Abbara A, Yeung A, Voliotis M, Tsaneva-Atanasova K, Kelsey T NPJ Digit Med. 2024; 7(1):55.

PMID: 38429464 PMC: 10907618. DOI: 10.1038/s41746-024-01006-x.


Metabolomics Integration in Assisted Reproductive Technologies for Enhanced Embryo Selection beyond Morphokinetic Analysis.

Pinto S, Guerra-Carvalho B, Crisostomo L, Rocha A, Barros A, Alves M Int J Mol Sci. 2024; 25(1).

PMID: 38203668 PMC: 10778973. DOI: 10.3390/ijms25010491.


Combining Machine Learning with Metabolomic and Embryologic Data Improves Embryo Implantation Prediction.

Cheredath A, Uppangala S, C S A, Jijo A, R V, Kumar P Reprod Sci. 2022; 30(3):984-994.

PMID: 36097248 PMC: 10014658. DOI: 10.1007/s43032-022-01071-1.


References
1.
Schiroli D, Marraccini C, Zanetti E, Ragazzi M, Gianoncelli A, Quartieri E . Imbalance of Mg Homeostasis as a Potential Biomarker in Colon Cancer. Diagnostics (Basel). 2021; 11(4). PMC: 8073761. DOI: 10.3390/diagnostics11040727. View

2.
Siristatidis C, Stavros S, Drakeley A, Bettocchi S, Pouliakis A, Drakakis P . Omics and Artificial Intelligence to Improve In Vitro Fertilization (IVF) Success: A Proposed Protocol. Diagnostics (Basel). 2021; 11(5). PMC: 8143333. DOI: 10.3390/diagnostics11050743. View

3.
Huo P, Zhu Y, Liang C, Yao J, Le J, Qin L . Non-invasive Amino Acid Profiling of Embryo Culture Medium Using HPLC Correlates With Embryo Implantation Potential in Women Undergoing Fertilization. Front Physiol. 2020; 11:405. PMC: 7251166. DOI: 10.3389/fphys.2020.00405. View

4.
Bodart J, Wieruszeski J, Amniai L, Leroy A, Landrieu I, Rousseau-Lescuyer A . NMR observation of Tau in Xenopus oocytes. J Magn Reson. 2008; 192(2):252-7. DOI: 10.1016/j.jmr.2008.03.006. View

5.
Rivera Egea R, Garrido Puchalt N, Meseguer Escriva M, Varghese A . OMICS: Current and future perspectives in reproductive medicine and technology. J Hum Reprod Sci. 2014; 7(2):73-92. PMC: 4150148. DOI: 10.4103/0974-1208.138857. View