Multi-Omics for Mothers and Infants (MOMI) Consortium: a global initiative to study adverse pregnancy outcomes

Background: The Multi-Omics for Mothers and Infants (MOMI) Consortium aims to define biological mechanisms associated with preterm birth, small for gestational age, preeclampsia, and stillbirth. Globally, the burden of adverse pregnancy outcomes (APOs) is highest in low- and middle-income countries (LMICs). The MOMI Consortium consists of six different LMIC sites established by The Alliance for Maternal and Newborn Health Improvement in Bangladesh, Pakistan, and Tanzania, the Global Alliance to Prevent Prematurity and Stillbirth in Bangladesh and Zambia, and the Interdisciplinary Group for Advanced Research on Birth Outcomes - DBT India Initiative. It also partners with five analytical partners and three bioinformatic teams. Methods: The combined MOMI cohort includes 24 321 pregnant women, a rich biorepository, and paired socioeconomic and clinical data. Considering the multifactorial aetiologies and molecular drivers of APOs, we applied an integrative multi-omics (genomics, metabolomics, proteomics, nutrient testing) approach to identify site-specific and cohort-wide signatures linked to distinct APOs. Conclusions: This protocol summarises the MOMI study design, sample and data collection methods, data harmonisation, and the various analytics platforms, and discusses potential outcomes for enhanced clinical care and novel diagnostic and therapeutic tools.

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Publication Details

Journal
Journal of Global Health
Published
2026-04-02
DOI
https://doi.org/10.7189/jogh.16.05002
Primary Topic
Gestational Diabetes Research and Management
Type
article
Field-Weighted Citation Impact
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article

Multi-Omics for Mothers and Infants (MOMI) Consortium: a global initiative to study adverse pregnancy outcomes

Clyde Mulenga, Joni Price, Nitya Wadhwa, K. De Paris et al.
Journal of Global Health
Gestational Diabetes Research and Management
article

Multi-Omics for Mothers and Infants (MOMI) Consortium: a global initiative to study adverse pregnancy outcomes

Clyde Mulenga, Joni Price, Nitya Wadhwa, K. De Paris, Ntazana Sindano, Margaret P. Kasaro, Ramachandran Thiruvengadam, G. Zhang, Jesmin Pervin, Teeranan Pokaprakarn, Waqasuddin Khan, Katelyn Rittenhouse, Liat Shenhav, Javairia Khalid, Sunil Sazawal, Hanqi Luo, Yuri V. Sebastião, Shailaja Sopory, Tushar Kanti Maiti, Arindam Maitra, Anisur Rahman, Xin Tang, Farzana Bashir Ahmed, Lei Xue, Mohammad Mohsin Mannan, Leah Kamulaza, Imran Nisar, Johannes B. Mueller-Reif, Shinjini Bhatnagar, Jeffrey SA Stringer, Tulika Sinha, Vincent Albrecht, Melissa Fox, Vincenth Brennsteiner, Medini Steger, Saikat Deb, Pallavi Kshetrapal, Daniela Hampel, Matthias Mann, Fyezah Jehan, Nima Aghaeepour, Tarik Hasan, Rasheda Khanam, Susan Fisher, Alan Lee Chang, Muhammad F Qazi, Nabidul Haque Chowdhury, Matthew Gormley, Salahuddin Ahmed, Abdullah H Baqui
article en

Abstract

Background: The Multi-Omics for Mothers and Infants (MOMI) Consortium aims to define biological mechanisms associated with preterm birth, small for gestational age, preeclampsia, and stillbirth. Globally, the burden of adverse pregnancy outcomes (APOs) is highest in low- and middle-income countries (LMICs). The MOMI Consortium consists of six different LMIC sites established by The Alliance for Maternal and Newborn Health Improvement in Bangladesh, Pakistan, and Tanzania, the Global Alliance to Prevent Prematurity and Stillbirth in Bangladesh and Zambia, and the Interdisciplinary Group for Advanced Research on Birth Outcomes - DBT India Initiative. It also partners with five analytical partners and three bioinformatic teams. Methods: The combined MOMI cohort includes 24 321 pregnant women, a rich biorepository, and paired socioeconomic and clinical data. Considering the multifactorial aetiologies and molecular drivers of APOs, we applied an integrative multi-omics (genomics, metabolomics, proteomics, nutrient testing) approach to identify site-specific and cohort-wide signatures linked to distinct APOs. Conclusions: This protocol summarises the MOMI study design, sample and data collection methods, data harmonisation, and the various analytics platforms, and discusses potential outcomes for enhanced clinical care and novel diagnostic and therapeutic tools.

Journal of Global HealthVol. 16
University of North Carolina at Chapel Hill (US), Aga Khan University (PK), Cincinnati Children's Hospital Medical Center (US), Johns Hopkins University (US), Emory University (US), University of California, San Francisco (US), International Centre for Diarrhoeal Disease Research (BD), Translational Health Science and Technology Institute (IN), Lusaka Apex Medical University (ZM), University of Zambia (ZM), Public Health Laboratory Ivo de Carneri (TZ), Max Planck Institute of Biochemistry (DE), Biomedical Research Foundation (BD), New York University (US), University of California, Davis (US), Stanford University (US)
Good health and well-being
Openalex Percentile: Top 29%
Gestational Diabetes Research and Management
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