Associations between maternal risk factors of adverse pregnancy and birth outcomes and the offspring epigenetic clock of gestational age at birth

• Published in: Clinical epigenetics 2017-05, Vol.9 (1), p.49-49, Article 49
• Main Authors: Girchenko, Polina, Lahti, Jari, Czamara, Darina, Knight, Anna K, Jones, Meaghan J, Suarez, Anna, Hämäläinen, Esa, Kajantie, Eero, Laivuori, Hannele, Villa, Pia M, Reynolds, Rebecca M, Kobor, Michael S, Smith, Alicia K, Binder, Elisabeth B, Räikkönen, Katri
• Format: Article
• Language: English
• Subjects: Adult; Age; Aging; Apgar score; Birth; Birth Weight - genetics; Cardiovascular disease; Cord blood; Cord blood methylation; Diabetes mellitus; DNA Methylation; Epigenesis, Genetic; Epigenetic clock; Epigenetics; Female; Fetuses; Gestational Age; Glutamate decarboxylase; Health risk assessment; Humans; Infant, Newborn; Insulin; Neonates; Offspring; Pre-eclampsia; Pregnancy; Prenatal experience; Prenatal programming; Risk Factors; Short Report; Sjogren's syndrome; Umbilical cord
• ISSN: 1868-7075; 1868-7083; 1868-7083; 1868-7075
• DOI: 10.1186/s13148-017-0349-z

A recent study has shown that it is possible to accurately estimate gestational age (GA) at birth from the DNA methylation (DNAm) of fetal umbilical cord blood/newborn blood spots. This DNAm GA predictor may provide additional information relevant to developmental stage. In 814 mother-neonate pairs, we evaluated the associations between DNAm GA and a number of maternal and offspring characteristics. These characteristics reflect prenatal environmental adversity and are expected to influence newborn developmental stage. DNAm GA acceleration (GAA; i.e., older DNAm GA than chronological GA) of the offspring at birth was associated with maternal age of over 40 years at delivery, pre-eclampsia and fetal demise in a previous pregnancy, maternal pre-eclampsia and treatment with antenatal betamethasone in the index pregnancy, lower neonatal birth size, lower 1-min Apgar score, and female sex. DNAm GA deceleration (GAD; i.e., younger DNAm GA than chronological GA) of the offspring at birth was associated with insulin-treated gestational diabetes mellitus (GDM) in a previous pregnancy and Sjögren's syndrome. These findings were more accentuated when the DNAm GA calculation was based on the raw difference between DNAm GA and GA than on the residual from the linear regression of DNAm GA on GA. Our findings show that variations in the DNAm GA of the offspring at birth are associated with a number of maternal and offspring characteristics known to reflect exposure to prenatal environmental adversity. Future studies should be aimed at determining if this biological variation is predictive of developmental adversity.