Evidence map›Paper›PMID 35402911›Full record

ArticleBrain communications2022

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

Emily N W Wheater, Paola Galdi, Daniel L McCartney, Manuel Blesa, Gemma Sullivan, David Q Stoye, Gillian Lamb, Sarah Sparrow, Lee Murphy, Nicola Wrobel and 8 more

Open access · goldAbstract read
In one paragraph

Article in Brain communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
28.5field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 69 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. DNA Methylation ofBiological research for nursing · 2026
    Article
  6. Article
  7. Review
  8. It's the little things. A framework and guidance for programs to care for infants 22-23 weeks' gestational age.Journal of perinatology : official journal of the California Perinatal Association · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Pathomechanisms of Prenatally Programmed Adult Diseases.Antioxidants (Basel, Switzerland) · 2023
    Review
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 4 institutions in 1 country.

Emily N W WheaterMRC Centre for Reproductive Health, The University of Edinburgh, Queen's Medical Research Institute, Edinburgh EH16 4TJ, UK.ORCID https://orcid.org/0000-0002-2498-293X
Paola GaldiMRC Centre for Reproductive Health, The University of Edinburgh, Queen's Medical Research Institute, Edinburgh EH16 4TJ, UK.ORCID https://orcid.org/0000-0003-4556-6799
Daniel L McCartneyCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK.
Manuel BlesaMRC Centre for Reproductive Health, The University of Edinburgh, Queen's Medical Research Institute, Edinburgh EH16 4TJ, UK.
Gemma SullivanMRC Centre for Reproductive Health, The University of Edinburgh, Queen's Medical Research Institute, Edinburgh EH16 4TJ, UK.ORCID https://orcid.org/0000-0003-1499-3536
David Q StoyeMRC Centre for Reproductive Health, The University of Edinburgh, Queen's Medical Research Institute, Edinburgh EH16 4TJ, UK.ORCID https://orcid.org/0000-0002-2444-3573
Gillian LambMRC Centre for Reproductive Health, The University of Edinburgh, Queen's Medical Research Institute, Edinburgh EH16 4TJ, UK.
Sarah SparrowMRC Centre for Reproductive Health, The University of Edinburgh, Queen's Medical Research Institute, Edinburgh EH16 4TJ, UK.
Lee MurphyCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK.
Nicola WrobelCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK.
Alan J QuigleyDepartment of Paediatric Radiology, Royal Hospital for Sick Children, NHS Lothian, Edinburgh, UK.
Scott SempleEdinburgh Imaging, University of Edinburgh, EH16 4SB Edinburgh, UK.
Michael J ThrippletonEdinburgh Imaging, University of Edinburgh, EH16 4SB Edinburgh, UK.
Joanna M WardlawCentre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK.
Mark E BastinCentre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK.
Riccardo E MarioniCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK.
Simon R CoxDepartment of Psychology, The University of Edinburgh, Edinburgh, UK.
James P BoardmanMRC Centre for Reproductive Health, The University of Edinburgh, Queen's Medical Research Institute, Edinburgh EH16 4TJ, UK.ORCID https://orcid.org/0000-0003-3904-8960
MRC Centre for Reproductive Health · GBUniversity of Edinburgh · GBNHS Lothian · GBThe Queen's Medical Research Institute · GB

Funding

Medical Research Council G1002033The Dunhill Medical Trust R380R/1114Wellcome Trust
6 · The paper itself

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 (

Indexed as

braindevelopmentDNA methylationMRIneonate

Identifiers

PMID35402911
PMCPMC8984700
OpenAlexW4214930963

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.