The Exploration of Fetal Growth Restriction Based on Metabolomics: A Systematic Review

Mengxin Yao1, Zhuoqiao Yang1, Xin Rong1

  • 1Department of Epidemiology and Health Statistics, Medical College of Soochow University, Suzhou 215000, China.

Metabolites
|September 23, 2022
PubMed

Insights

This review identifies key metabolic biomarkers and pathways involved in fetal growth restriction (FGR). Understanding these metabolic changes in pregnancy can improve diagnosis and treatment for FGR complications.

Area of Science:

  • Obstetrics and Gynecology
  • Metabolomics
  • Neonatal Health

Background:

  • Fetal growth restriction (FGR) is a major pregnancy complication impacting neonatal health and adult disease risk.
  • The underlying causes and biological mechanisms of FGR are not fully understood.
  • Metabolomics offers a powerful approach to uncover metabolic alterations in FGR.

Purpose of the Study:

  • To systematically review and synthesize findings from metabolomics studies on FGR.
  • To identify potential metabolic biomarkers and pathways associated with FGR in human pregnancies and animal models.
  • To enhance understanding of the metabolic pathogenesis of FGR.

Main Methods:

  • Comprehensive literature search of PubMed and Web of Science databases (January 2000 - July 2022).
  • Systematic comparison of reported metabolites from 10 neonatal and 14 maternal human studies, plus 8 animal model studies.
  • Pathway analysis using MetaboAnalyst 5.0 software.

Main Results:

  • Several amino acids, including alanine, valine, and isoleucine, were frequently identified as biomarkers in both neonatal and maternal FGR studies.
  • Key metabolic pathways implicated in FGR include arginine biosynthesis, arginine/proline metabolism, glyoxylate/dicarboxylate metabolism, and alanine/aspartate/glutamate metabolism.
  • Metabolites like glutamine, phenylalanine, and proline were common across human and animal FGR models.

Conclusions:

  • This review consolidates crucial metabolic biomarkers and pathways relevant to FGR.
  • Findings provide insights into the metabolic underpinnings of FGR, potentially guiding future research and clinical applications.
  • Further investigation into these metabolic signatures may improve FGR management and outcomes.

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