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Updated: Apr 3, 2026

Generating a Reproducible Model of Mid-Gestational Maternal Immune Activation using PolyI:C to Study Susceptibility and Resilience in Offspring
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Multi-Omics for Mothers and Infants (MOMI) Consortium: a global initiative to study adverse pregnancy outcomes

Xin Tang1, Salahuddin Ahmed2, Farzana Bashir Ahmed3

  • 1Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.

Journal of Global Health
|April 2, 2026
PubMed

Insights

The Multi-Omics for Mothers and Infants (MOMI) Consortium investigates adverse pregnancy outcomes (APOs) in low-income countries. Multi-omics data from over 24,000 women will identify biological signatures linked to preterm birth and other APOs.

Area of Science:

  • Reproductive Health
  • Genomics
  • Metabolomics
  • Proteomics

Background:

  • Adverse pregnancy outcomes (APOs) disproportionately affect low- and middle-income countries (LMICs).
  • The Multi-Omics for Mothers and Infants (MOMI) Consortium addresses critical APOs: preterm birth, small for gestational age, preeclampsia, and stillbirth.
  • MOMI comprises six LMIC sites across Bangladesh, Pakistan, Tanzania, Zambia, and India, with multiple analytical and bioinformatics partners.

Purpose of the Study:

  • To define biological mechanisms underlying major adverse pregnancy outcomes (APOs).
  • To identify site-specific and cohort-wide molecular signatures associated with distinct APOs.
  • To leverage multi-omics data for improved clinical care and novel diagnostic/therapeutic tools.

Main Methods:

  • An integrative multi-omics approach was employed, including genomics, metabolomics, proteomics, and nutrient testing.
  • Data collection involved a large cohort of 24,321 pregnant women, a comprehensive biorepository, and paired socioeconomic and clinical data.
  • Standardized protocols for sample collection, data harmonization, and analytics platforms were established across all study sites.

Main Results:

  • The study generated a rich dataset combining multi-omics profiles with clinical and socioeconomic information.
  • Analysis focused on identifying molecular drivers and biomarkers for specific adverse pregnancy outcomes (APOs).
  • Site-specific and cohort-wide signatures linked to APOs were investigated using advanced bioinformatics.

Conclusions:

  • The MOMI protocol outlines a robust framework for multi-omics research in LMICs.
  • Findings are expected to enhance understanding of APO etiology and inform the development of targeted interventions.
  • The study aims to contribute to improved maternal and infant health through novel diagnostics and therapeutics.
Abstract

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