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

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...

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Autores principales: Wheater, Emily N. W., Galdi, Paola, McCartney, Daniel L., Blesa, Manuel, Sullivan, Gemma, Stoye, David Q., Lamb, Gillian, Sparrow, Sarah, Murphy, Lee, Wrobel, Nicola, Quigley, Alan J., Semple, Scott, Thrippleton, Michael J., Wardlaw, Joanna M., Bastin, Mark E., Marioni, Riccardo E., Cox, Simon R., Boardman, James P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8984700/
https://www.ncbi.nlm.nih.gov/pubmed/35402911
http://dx.doi.org/10.1093/braincomms/fcac056
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author Wheater, Emily N. W.
Galdi, Paola
McCartney, Daniel L.
Blesa, Manuel
Sullivan, Gemma
Stoye, David Q.
Lamb, Gillian
Sparrow, Sarah
Murphy, Lee
Wrobel, Nicola
Quigley, Alan J.
Semple, Scott
Thrippleton, Michael J.
Wardlaw, Joanna M.
Bastin, Mark E.
Marioni, Riccardo E.
Cox, Simon R.
Boardman, James P.
author_facet Wheater, Emily N. W.
Galdi, Paola
McCartney, Daniel L.
Blesa, Manuel
Sullivan, Gemma
Stoye, David Q.
Lamb, Gillian
Sparrow, Sarah
Murphy, Lee
Wrobel, Nicola
Quigley, Alan J.
Semple, Scott
Thrippleton, Michael J.
Wardlaw, Joanna M.
Bastin, Mark E.
Marioni, Riccardo E.
Cox, Simon R.
Boardman, James P.
author_sort Wheater, Emily N. W.
collection PubMed
description 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.
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spelling pubmed-89847002022-04-07 DNA methylation in relation to gestational age and brain dysmaturation in preterm infants Wheater, Emily N. W. Galdi, Paola McCartney, Daniel L. Blesa, Manuel Sullivan, Gemma Stoye, David Q. Lamb, Gillian Sparrow, Sarah Murphy, Lee Wrobel, Nicola Quigley, Alan J. Semple, Scott Thrippleton, Michael J. Wardlaw, Joanna M. Bastin, Mark E. Marioni, Riccardo E. Cox, Simon R. Boardman, James P. Brain Commun Original Article 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. Oxford University Press 2022-03-08 /pmc/articles/PMC8984700/ /pubmed/35402911 http://dx.doi.org/10.1093/braincomms/fcac056 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the Guarantors of Brain. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Wheater, Emily N. W.
Galdi, Paola
McCartney, Daniel L.
Blesa, Manuel
Sullivan, Gemma
Stoye, David Q.
Lamb, Gillian
Sparrow, Sarah
Murphy, Lee
Wrobel, Nicola
Quigley, Alan J.
Semple, Scott
Thrippleton, Michael J.
Wardlaw, Joanna M.
Bastin, Mark E.
Marioni, Riccardo E.
Cox, Simon R.
Boardman, James P.
DNA methylation in relation to gestational age and brain dysmaturation in preterm infants
title DNA methylation in relation to gestational age and brain dysmaturation in preterm infants
title_full DNA methylation in relation to gestational age and brain dysmaturation in preterm infants
title_fullStr DNA methylation in relation to gestational age and brain dysmaturation in preterm infants
title_full_unstemmed DNA methylation in relation to gestational age and brain dysmaturation in preterm infants
title_short DNA methylation in relation to gestational age and brain dysmaturation in preterm infants
title_sort dna methylation in relation to gestational age and brain dysmaturation in preterm infants
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8984700/
https://www.ncbi.nlm.nih.gov/pubmed/35402911
http://dx.doi.org/10.1093/braincomms/fcac056
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