Estimating Gestational Age and Prediction of Preterm Birth Using Metabolomics Biomarkers

Victoria C Ward1, Steven Hawken2, Pranesh Chakraborty3

  • 1Department of Pediatrics, Stanford University School of Medicine, 291 Campus Drive Li Ka Shing Building, Stanford, CA 94305, USA.

PubMed

Insights

Preterm birth (PTB) is a major global health issue, particularly in low-resource areas. Metabolomics biomarkers show promise for identifying high-risk pregnancies and estimating gestational age and preterm status.

Area of Science:

  • Biomedical research
  • Public health
  • Metabolomics

Background:

  • Preterm birth (PTB) is a significant cause of child mortality worldwide.
  • Accurate gestational age (GA) assessment is challenging in low-resource settings, hindering PTB burden measurement.
  • First trimester ultrasound dating is the gold standard for GA estimation.

Purpose of the Study:

  • To explore the potential of metabolomics biomarkers for PTB research.
  • To investigate biomarkers for early identification of high-risk pregnancies.
  • To assess biomarkers for estimating GA and postnatal preterm status.

Main Methods:

  • Utilizing metabolomics to analyze biological samples.
  • Developing and validating biomarker panels.
  • Comparing biomarker-based GA estimation with traditional methods.

Main Results:

  • Metabolomics biomarkers demonstrate potential for GA estimation.
  • Biomarkers may aid in identifying pregnancies at risk for PTB.
  • Further research is needed to validate these findings in diverse populations.

Conclusions:

  • Metabolomics offers a novel approach to address PTB challenges.
  • Biomarkers could improve PTB surveillance and risk assessment globally.
  • This research highlights the need for biomarker-driven solutions in maternal and child health.

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