Preterm Birth in African American Women: A Multi-Omic Pilot Study in Early Pregnancy

Alexandra L Nowak1, Nadia Saadat2, Jiao Sun3

  • 1Marcella Niehoff School of Nursing, Loyola University at Chicago, Maywood, IL, USA.

PubMed

Insights

Preterm birth disparities in African Americans may involve altered gene expression. This study found differences in HLA-DQB2 methylation and expression, suggesting potential biological links to preterm birth (PTB).

Area of Science:

  • Genomics
  • Epigenetics
  • Reproductive Health

Background:

  • Preterm birth (PTB) affects over 13 million worldwide, with significant racial disparities in the U.S.
  • Existing research links PTB disparities to social determinants, but biological underpinnings remain unclear.
  • DNA methylation (DNAm) influences gene expression and is affected by environmental factors.

Purpose of the Study:

  • To investigate differences in DNA methylation (DNAm) and messenger RNA (mRNA) transcriptomic data in pregnant African American women.
  • To explore potential biological mechanisms underlying racial disparities in preterm birth (PTB).

Main Methods:

  • Utilized a multi-omic approach combining DNAm and mRNA transcriptomic data.
  • Analyzed samples from 20 pregnant African American women (12 PTB, 8 term birth) early in gestation (8-18 weeks).
  • Examined differential methylation and expression of genes, including HLA-DQB2 and HLA-DRB4.

Main Results:

  • The HLA-DQB2 gene showed differential methylation and expression between PTB and term birth groups (p < .05).
  • HLA-DQB2 expression was higher in PTB, while HLA-DRB4 expression was higher in term birth.
  • HLA-DRB4 and AKR1C1 were identified as potential biomarkers in dimensionality reduction models.

Conclusions:

  • Altered gene expression, particularly involving HLA-DQB2 and HLA-DRB4, may contribute to inflammatory imbalances or allogenic intolerance, leading to PTB.
  • This study provides proof-of-concept for multi-omics in understanding PTB disparities.
  • Further research with larger cohorts is needed to validate identified genes and pathways.