Marcia Smiti Jude, Chaini Konwar, Robyn J. McQuaid, Farooq Ghani, Nazneen Islam, Sharifa Lalani, Sarah M. Merrill, Fizza Fatima, Julia L. MacIsaac, Ntonghanwah Forcheh, Calen P. Ryan, Nanette R. Lee, Christopher W. Kuzawa, Michael S. Kobor, Shahirose Sadrudin Premji, Ilona S. Yim, Sikolia Wanyonyi, Salima Sulaiman, Rozina Shazad, Kiran Shaikh, Pauline Samia, Saima Sachwani, Geoffrey Omuse, Christine Okoko, Sidrah Nausheen, Christopher T. Naugler, Joseph Wangira Musana, Ayesha Mian, Mohamoud Merali, Nicole Letourneau, Imtiaz Jehan, Aliyah Dosani, Neelofur Babar
Mothers undergo physiological and molecular changes over the course of gestation. These modifications “get under the skin” and may be reflected in the maternal epigenome through processes such as DNA methylation. Such an epigenetic mark may offer insights into maternal responses to prenatal influences and biological cues from the developing fetus, thereby functioning as an indirect indicator of the conditions the fetus experiences in utero. We measured whole blood DNA methylation using the MethylationEPIC BeadChip Infinium microarray v1.0 in 22 pregnant women from Pakistan, a low- and middle-income country (LMIC), at two timepoints during their term pregnancies (early: 10–19 weeks and late-mid: 22–29 weeks). We used DNA methylation profiles to predict immune cell proportions and tested differences in these proportions and DNA methylation patterns between the two timepoints. Further, we evaluated DNA methylation associations with gestational age at each timepoint and examined the contribution of genetic, psychosocial, and biological factors. Our analyses documented changes in immune cell proportions and DNA methylation profiles over the course of gestation, albeit in a small percentage of the measured DNA methylome. We also observed timepoint-specific DNA methylation associations with gestational age, predominantly at early pregnancy, with predicted interleukin-6 level and socioeconomic status contributing to a few of these associations. On comparing to three external cohorts from different sociocultural contexts, we also noted these signatures to be unique to LMIC settings. Overall, these changes measured in term pregnancies may be used to assess both fluctuations in pregnancy and birth outcomes, particular in women from LMIC settings. © The Author(s) 2025.
BC Children’s Hospital Research Institute (BCCHR), 950 West 28th Avenue, Vancouver, BC, Canada; Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada; Department of Neuroscience, Carleton University, Ottawa, ON, Canada; University of Ottawa Institute of Mental Health Research, Ottawa, ON, Canada; Department of Pathology and Microbiology, Aga Khan University, Sindh, Karachi, Pakistan; Molecular Pathology, Clinical Laboratory Medicine, Aga Khan University Hospital, Sindh, Karachi, Pakistan; School of Nursing and Midwifery, Aga Khan University, Sindh, Karachi, Pakistan; Department of Psychiatry and Human Behavior, The Warren Alpert Medical School at Brown University, Providence, RI, United States; School of Nursing, Faculty of Health Sciences, Queen’s University, Kingston, ON, Canada; Robert N. Butler Columbia Aging Center, Mailman School of Public Health, Columbia University, New York, NY, United States; Office of Population Studies, University of San Carlos, Talamban, Cebu City, Philippines; Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, United States; Edwin S. H. Leong Centre for Healthy Aging, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada; Sally Smith Chair in Nursing, School of Nursing, Faculty of Health Sciences, Queen’s University, Kingston, ON, Canada
