DNA methylation in relation to gestational age and brain dysmaturation in preterm infants

Author:

Wheater Emily N. W.1ORCID,Galdi Paola1ORCID,McCartney Daniel L.2,Blesa Manuel1,Sullivan Gemma1ORCID,Stoye David Q.1ORCID,Lamb Gillian1,Sparrow Sarah1,Murphy Lee2,Wrobel Nicola2,Quigley Alan J.3,Semple Scott45,Thrippleton Michael J.46,Wardlaw Joanna M.6,Bastin Mark E.6,Marioni Riccardo E.2,Cox Simon R.7,Boardman James P.16ORCID

Affiliation:

1. MRC Centre for Reproductive Health, The University of Edinburgh, Queen’s Medical Research Institute , Edinburgh EH16 4TJ, UK

2. Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh , Edinburgh EH4 2XU, UK

3. Department of Paediatric Radiology, Royal Hospital for Sick Children, NHS Lothian , Edinburgh, UK

4. Edinburgh Imaging, University of Edinburgh , EH16 4SB Edinburgh, UK

5. Centre for Cardiovascular Science, The University of Edinburgh, Queen’s Medical Research Institute , Edinburgh EH16 4TJ, UK

6. Centre for Clinical Brain Sciences, The University of Edinburgh , Edinburgh, UK

7. Department of Psychology, The University of Edinburgh , Edinburgh, UK

Abstract

Abstract Preterm birth is associated with dysconnectivity of structural brain networks and is a leading cause of neurocognitive impairment in childhood. Variation in DNA methylation is associated with early exposure to extrauterine life but there has been little research exploring its relationship with brain development. Using genome-wide DNA methylation data from the saliva of 258 neonates, we investigated the impact of gestational age on the methylome and performed functional analysis to identify enriched gene sets from probes that contributed to differentially methylated probes or regions. We tested the hypothesis that variation in DNA methylation could underpin the association between low gestational age at birth and atypical brain development by linking differentially methylated probes with measures of white matter connectivity derived from diffusion MRI metrics: peak width skeletonized mean diffusivity, peak width skeletonized fractional anisotropy and peak width skeletonized neurite density index. Gestational age at birth was associated with widespread differential methylation at term equivalent age, with genome-wide significant associations observed for 8870 CpG probes (P < 3.6 × 10−8) and 1767 differentially methylated regions. Functional analysis identified 14 enriched gene ontology terms pertaining to cell–cell contacts and cell–extracellular matrix contacts. Principal component analysis of probes with genome-wide significance revealed a first principal component that explained 23.5% of the variance in DNA methylation, and this was negatively associated with gestational age at birth. The first principal component was associated with peak width of skeletonized mean diffusivity (β = 0.349, P = 8.37 × 10−10) and peak width skeletonized neurite density index (β = 0.364, P = 4.15 × 10−5), but not with peak width skeletonized fraction anisotropy (β = −0.035, P = 0.510); these relationships mirrored the imaging metrics’ associations with gestational age at birth. Low gestational age at birth has a profound and widely distributed effect on the neonatal saliva methylome that is apparent at term equivalent age. Enriched gene ontology terms related to cell–cell contacts reveal pathways that could mediate the effect of early life environmental exposures on development. Finally, associations between differential DNA methylation and image markers of white matter tract microstructure suggest that variation in DNA methylation may provide a link between preterm birth and the dysconnectivity of developing brain networks that characterizes atypical brain development in preterm infants.

Funder

Wellcome Trust Translational Neuroscience

University of Edinburgh

Theirworld

Medical Research Council

Medical Research Council Centre Grant

Publisher

Oxford University Press (OUP)

Subject

General Earth and Planetary Sciences,General Environmental Science

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