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Wheater ENW, Galdi P, McCartney DL, Blesa M, Sullivan G, Stoye DQ, Lamb G, Sparrow S, Murphy L, Wrobel N, Quigley AJ, Semple S, Thrippleton MJ, Wardlaw JM, Bastin ME, Marioni RE, Cox SR, Boardman JP. DNA methylation in relation to gestational age and brain dysmaturation in preterm infants. Brain Commun 2022; 4:fcac056. [PMID: 35402911 PMCID: PMC8984700 DOI: 10.1093/braincomms/fcac056] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 12/10/2021] [Accepted: 03/04/2022] [Indexed: 11/14/2022] Open
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.
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Affiliation(s)
- Emily N. W. Wheater
- MRC Centre for Reproductive Health, The University of Edinburgh, Queen’s Medical Research Institute, Edinburgh EH16 4TJ, UK
| | - Paola Galdi
- MRC Centre for Reproductive Health, The University of Edinburgh, Queen’s Medical Research Institute, Edinburgh EH16 4TJ, UK
| | - Daniel L. McCartney
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Manuel Blesa
- MRC Centre for Reproductive Health, The University of Edinburgh, Queen’s Medical Research Institute, Edinburgh EH16 4TJ, UK
| | - Gemma Sullivan
- MRC Centre for Reproductive Health, The University of Edinburgh, Queen’s Medical Research Institute, Edinburgh EH16 4TJ, UK
| | - David Q. Stoye
- MRC Centre for Reproductive Health, The University of Edinburgh, Queen’s Medical Research Institute, Edinburgh EH16 4TJ, UK
| | - Gillian Lamb
- MRC Centre for Reproductive Health, The University of Edinburgh, Queen’s Medical Research Institute, Edinburgh EH16 4TJ, UK
| | - Sarah Sparrow
- MRC Centre for Reproductive Health, The University of Edinburgh, Queen’s Medical Research Institute, Edinburgh EH16 4TJ, UK
| | - Lee Murphy
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Nicola Wrobel
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Alan J. Quigley
- Department of Paediatric Radiology, Royal Hospital for Sick Children, NHS Lothian, Edinburgh, UK
| | - Scott Semple
- Edinburgh Imaging, University of Edinburgh, EH16 4SB Edinburgh, UK
- Centre for Cardiovascular Science, The University of Edinburgh, Queen’s Medical Research Institute, Edinburgh EH16 4TJ, UK
| | - Michael J. Thrippleton
- Edinburgh Imaging, University of Edinburgh, EH16 4SB Edinburgh, UK
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK
| | - Joanna M. Wardlaw
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK
| | - Mark E. Bastin
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK
| | - Riccardo E. Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Simon R. Cox
- Department of Psychology, The University of Edinburgh, Edinburgh, UK
| | - James P. Boardman
- MRC Centre for Reproductive Health, The University of Edinburgh, Queen’s Medical Research Institute, Edinburgh EH16 4TJ, UK
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK
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Crudgington H, Rogers M, Bray L, Carter B, Currier J, Dunkley C, Gibbon FM, Hughes D, Lyle S, Roberts D, Tudur Smith C, Gringras P, Pal DK, Morris C. Core Health Outcomes in Childhood Epilepsy (CHOICE): Development of a core outcome set using systematic review methods and a Delphi survey consensus. Epilepsia 2019; 60:857-871. [PMID: 31021436 PMCID: PMC6563436 DOI: 10.1111/epi.14735] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Revised: 02/28/2019] [Accepted: 03/27/2019] [Indexed: 11/29/2022]
Abstract
OBJECTIVE Establishing a core set of outcomes to be evaluated and reported in intervention trials aims to improve the usefulness of health research. There is no established core outcome set (COS) for childhood epilepsies. The aim of this study was to select a COS to be used in evaluative research of interventions for children with rolandic epilepsy (RE). METHODS We followed guidance from the COMET (Core Outcome Measures in Effectiveness Trials) Initiative. First, we identified outcomes that had been measured in research through a systematic review. Second, young people with RE, parents, and professionals were invited to take part in a Delphi survey in which participants rated the importance of candidate outcomes. Last, a face-to-face meeting was convened to seek consensus on which outcomes were critical to include and to ratify the final COS. RESULTS From 37 eligible papers in the review, we identified and included 48 candidate outcomes in the survey. We sent invitations to 165 people registered to take part in the survey; of these, 102 (62%) completed Round 1, and 80 (78%) completed Round 2 (three young people, 16 parents, 61 professionals). In Round 2 we included four additional outcomes suggested by participants in Round 1. The consensus meeting included two young people, four parents, and nine professionals who were eligible to vote and ratified the COS as 39 outcomes across 10 domains. SIGNIFICANCE Our methodology was a proportionate and pragmatic approach toward producing a COS for evaluating research on interventions aiming to improve the health of children with RE.
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Affiliation(s)
- Holly Crudgington
- Basic and Clinical Neuroscience DepartmentInstitute of Psychiatry, Psychology, and NeuroscienceKing's College LondonLondonUK
| | - Morwenna Rogers
- University of Exeter Medical School, College of Medicine and HealthUniversity of ExeterExeterUK
| | - Lucy Bray
- Faculty of Health and Social CareEdge Hill UniversityOrmskirkUK
| | - Bernie Carter
- Faculty of Health and Social CareEdge Hill UniversityOrmskirkUK
| | - Janet Currier
- Lay coinvestigator and epilepsy services userLondonUK
| | - Colin Dunkley
- Sherwood Forest Hospitals National Health Service Foundation TrustSutton‐in‐AshfieldUK
| | - Frances M. Gibbon
- Noah's Ark Children's Hospital for WalesCardiff and Vale University Health BoardCardiffUK
| | - Dyfrig Hughes
- Centre for Health Economics and Medicines EvaluationBangor UniversityBangorUK
| | - Samantha Lyle
- Basic and Clinical Neuroscience DepartmentInstitute of Psychiatry, Psychology, and NeuroscienceKing's College LondonLondonUK
| | | | | | - Paul Gringras
- Basic and Clinical Neuroscience DepartmentInstitute of Psychiatry, Psychology, and NeuroscienceKing's College LondonLondonUK
- Evelina London Children's HospitalLondonUK
| | - Deb K. Pal
- Basic and Clinical Neuroscience DepartmentInstitute of Psychiatry, Psychology, and NeuroscienceKing's College LondonLondonUK
- Evelina London Children's HospitalLondonUK
- Medical Research Council Centre for Neurodevelopmental DisordersKing's College LondonLondonUK
- King's College HospitalLondonUK
| | - Christopher Morris
- University of Exeter Medical School, College of Medicine and HealthUniversity of ExeterExeterUK
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