TY - JOUR
T1 - Distinct maternal DNA methylation associations with gestational age at early and late-mid term pregnancy in a low- and middle-income country
T2 - evaluation of biological, genetic, and psychosocial contributors
AU - Maternal-infant Global Health Team (MiGHT) Collaborators in Research
AU - Jude, Marcia Smiti
AU - Konwar, Chaini
AU - McQuaid, Robyn J.
AU - Ghani, Farooq
AU - Islam, Nazneen
AU - Lalani, Sharifa
AU - Merrill, Sarah M.
AU - Fatima, Fizza
AU - MacIsaac, Julia L.
AU - Forcheh, Ntonghanwah
AU - Ryan, Calen P.
AU - Lee, Nanette R.
AU - Kuzawa, Christopher W.
AU - Kobor, Michael S.
AU - Premji, Shahirose Sadrudin
AU - Yim, Ilona S.
AU - Wanyonyi, Sikolia
AU - Sulaiman, Salima
AU - Shazad, Rozina
AU - Shaikh, Kiran
AU - Samia, Pauline
AU - Sachwani, Saima
AU - Omuse, Geoffrey
AU - Okoko, Christine
AU - Nausheen, Sidrah
AU - Naugler, Christopher T.
AU - Musana, Joseph Wangira
AU - Mian, Ayesha
AU - Merali, Mohamoud
AU - Letourneau, Nicole
AU - Jehan, Imtiaz
AU - Dosani, Aliyah
AU - Babar, Neelofur
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025/12
Y1 - 2025/12
N2 - 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.
AB - 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.
KW - DNA methylation
KW - Fetal environment
KW - Gestational age at birth
KW - Immune cell types
KW - LMIC
KW - Maternal blood
KW - MiGHT
KW - Pregnancy
UR - https://www.scopus.com/pages/publications/105018398780
U2 - 10.1186/s12884-025-08037-6
DO - 10.1186/s12884-025-08037-6
M3 - Article
C2 - 41073976
AN - SCOPUS:105018398780
SN - 1471-2393
VL - 25
JO - BMC Pregnancy and Childbirth
JF - BMC Pregnancy and Childbirth
IS - 1
M1 - 1062
ER -