Publication

Prenatal risk factors and neonatal DNA methylation in very preterm infants

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Last modified
  • 07/03/2025
Type of Material
Authors
    Marie Camerota, Brown UniversityStefan Graw, Emory UniversityTodd Everson, Emory UniversityElisabeth C McGowan, Brown UniversityJulie A Hofheimer, University of North CarolinaMichael T O'Shea, University of North CarolinaBrian S Carter, Childrens Mercy HospJennifer B Helderman, Wake Forest School of MedicineJennifer Check, Wake Forest School of MedicineCharles R Neal, University of HawaiiSteven L Pastyrnak, Spectrum Health-Helen DeVos HospitalLynne M Smith, Harbor-UCLA Medical CenterLynne M Dansereau, Women & Infants Hospital Rhode IslandSheri A DellaGrotta, Women & Infants Hospital Rhode IslandCarmen Marsit, Emory UniversityBarry M Lester, Brown University
Language
  • English
Date
  • 2021-12-01
Publisher
  • BMC
Publication Version
Copyright Statement
  • © The Author(s) 2021
License
Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 13
Issue
  • 1
Start Page
  • 171
End Page
  • 171
Grant/Funding Information
  • This work was funded by the National Institutes of Health (NIH)/Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) grant R01HD072267 (Lester and O’Shea) and R01HD084515 (Lester and Everson). Dr. Camerota was additionally supported by an institutional training grant from the National Institutes of Mental Health (NIMH), grant T32MH019927.
Supplemental Material (URL)
Abstract
  • Background: Prenatal risk factors are related to poor health and developmental outcomes for infants, potentially via epigenetic mechanisms. We tested associations between person-centered prenatal risk profiles, cumulative prenatal risk models, and epigenome-wide DNA methylation (DNAm) in very preterm neonates. Methods: We studied 542 infants from a multi-center study of infants born < 30 weeks postmenstrual age. We assessed 24 prenatal risk factors via maternal report and medical record review. Latent class analysis was used to define prenatal risk profiles. DNAm was quantified from neonatal buccal cells using the Illumina MethylationEPIC Beadarray. Results: We identified three latent profiles of women: a group with few risk factors (61%) and groups with elevated physical (26%) and psychological (13%) risk factors. Neonates born to women in higher risk subgroups had differential DNAm at 2 CpG sites. Higher cumulative prenatal risk was associated with methylation at 15 CpG sites, 12 of which were located in genes previously linked to physical and mental health and neurodevelopment. Conclusion: We observed associations between prenatal risk factors and DNAm in very preterm infants using both person-centered and cumulative risk approaches. Epigenetics offers a potential biological indicator of prenatal risk exposure.
Author Notes
Keywords
Research Categories
  • Health Sciences, Epidemiology
  • Health Sciences, Mental Health

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