Metabolomics applied to maternal and perinatal health: A review of new frontiers with a translation potential

Souza, Renato Teixeira, Mayrink, Jussara, Leite, Débora Farias, Costa, Maria Laura, Calderon, Iracema Mattos, Filho, Edilberto Alves Rocha, Vettorazzi, Janete, Feitosa, Francisco Edson and Cecatti, José Guilherme and Preterm SAMBA Study Group (2019) Metabolomics applied to maternal and perinatal health: A review of new frontiers with a translation potential. Clinics, 74. ISSN 1807-5932

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Abstract

The prediction or early diagnosis of maternal complications is challenging mostly because the main conditions, such as preeclampsia, preterm birth, fetal growth restriction, and gestational diabetes mellitus, are complex syndromes with multiple underlying mechanisms related to their occurrence. Limited advances in maternal and perinatal health in recent decades with respect to preventing these disorders have led to new approaches, and “omics” sciences have emerged as a potential field to be explored. Metabolomics is the study of a set of metabolites in a given sample and can represent the metabolic functioning of a cell, tissue or organism. Metabolomics has some advantages over genomics, transcriptomics, and proteomics, as metabolites are the final result of the interactions of genes, RNAs and proteins. Considering the recent “boom” in metabolomic studies and their importance in the research agenda, we here review the topic, explaining the rationale and theory of the metabolomic approach in different areas of maternal and perinatal health research for clinical practitioners. We also demonstrate the main exploratory studies of these maternal complications, commenting on their promising findings. The potential translational application of metabolomic studies, especially for the identification of predictive biomarkers, is supported by the current findings, although they require external validation in larger datasets and with alternative methodologies.

Item Type:	Article
Uncontrolled Keywords:	maternal health (mesh),metabolomics (mesh),prediction,translational medical research (mesh),medicine(all),sdg 3 - good health and well-being ,/dk/atira/pure/subjectarea/asjc/2700
Faculty \ School:	Faculty of Medicine and Health Sciences > Norwich Medical School
UEA Research Groups:	Faculty of Medicine and Health Sciences > Research Centres > Metabolic Health
Related URLs:	http://www.scopus.com/inward/record.url?...
Depositing User:	LivePure Connector
Date Deposited:	23 Jun 2025 16:30
Last Modified:	23 Jun 2025 16:30
URI:	https://ueaeprints.uea.ac.uk/id/eprint/99678
DOI:	10.6061/clinics/2019/e894

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