Multiomic signals associated with maternal epidemiological factors contributing to preterm birth in low- and middle-income countries

Camilo A. Espinosa, Waqasuddin Khan, Rasheda Khanam, Sayan Das, Javairia Khalid, Jesmin Pervin, Margaret P. Kasaro, Kévin Contrepois, Alan L. Chang, Thanaphong Phongpreecha, Basil Michael, Mathew Ellenberger, Usma Mehmood, Aneeta Hotwani, Ambreen Nizar, Furqan Kabir, Ronald J. Wong, Martin Becker, Eloise Berson, Anthony CulosDavide De Francesco, Samson Mataraso, Neal Ravindra, Melan Thuraiappah, Maria Xenochristou, Ina A. Stelzer, Ivana Marić, Arup Dutta, Rubhana Raqib, Salahuddin Ahmed, Sayedur Rahman, A. S.M. Tarik Hasan, Said M. Ali, Mohamed H. Juma, Monjur Rahman, Shaki Aktar, Saikat Deb, Joan T. Price, Paul H. Wise, Virginia D. Winn, Maurice L. Druzin, Ronald S. Gibbs, Gary L. Darmstadt, Jeffrey C. Murray, Jeffrey S.A. Stringer, Brice Gaudilliere, Michael P. Snyder, Martin S. Angst, Anisur Rahman, Abdullah H. Baqui, Fyezah Jehan, Muhammad Imran Nisar, Bellington Vwalika, Sunil Sazawal, Gary M. Shaw, David K. Stevenson, Nima Aghaeepour

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)


Preterm birth (PTB) is the leading cause of death in children under five, yet comprehensive studies are hindered by its multiple complex etiologies. Epidemiological associations between PTB and maternal characteristics have been previously described. This work used multiomic profiling and multivariate modeling to investigate the biological signatures of these characteristics. Maternal covariates were collected during pregnancy from 13,841 pregnant women across five sites. Plasma samples from 231 participants were analyzed to generate proteomic, metabolomic, and lipidomic datasets. Machine learning models showed robust performance for the prediction of PTB (AUROC = 0.70), time-to-delivery (r = 0.65), maternal age (r = 0.59), gravidity (r = 0.56), and BMI (r = 0.81). Time-to-delivery biological correlates included fetal-associated proteins (e.g., ALPP, AFP, and PGF) and immune proteins (e.g., PD-L1, CCL28, and LIFR). Maternal age negatively correlated with collagen COL9A1, gravidity with endothelial NOS and inflammatory chemokine CXCL13, and BMI with leptin and structural protein FABP4. These results provide an integrated view of epidemiological factors associated with PTB and identify biological signatures of clinical covariates affecting this disease.

Original languageEnglish
Article numbereade7692
JournalScience advances
Issue number21
Publication statusPublished - May 2023


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