Evidence map›Paper›PMID 33076993›Full record

ArticleClinical epigenetics2020

Serious neonatal morbidities are associated with differences in DNA methylation among very preterm infants.

Todd M Everson, T Michael O'Shea, Amber Burt, Karen Hermetz, Brian S Carter, Jennifer Helderman, Julie A Hofheimer, Elisabeth C McGowan, Charles R Neal, Steven L Pastyrnak and 7 more

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.3field-weighted citation impact, top 6% 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

31 citing papers in PubMed, 48 citations in OpenAlex.

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  16. DNA methylation in necrotizing enterocolitis.Expert reviews in molecular medicine · 2024
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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

17 authors at 9 institutions in 1 country.

Todd M EversonGangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, USA. Todd.M.Everson@Emory.edu.ORCID 0000-0003-2732-4550
T Michael O'SheaDepartment of Pediatrics, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
Amber BurtGangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, USA.
Karen HermetzGangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, USA.
Brian S CarterDepartment of Pediatrics-Neonatology, Children's Mercy Hospital, Kansas City, MO, USA.
Jennifer HeldermanDepartment of Pediatrics, Wake Forest School of Medicine, Winston Salem, NC, USA.
Julie A HofheimerDepartment of Pediatrics, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
Elisabeth C McGowanDepartment of Pediatrics, Brown Alpert Medical School and Women and Infants Hospital, Providence, RI, USA.
Charles R NealDepartment of Pediatrics, University of Hawaii John A. Burns School of Medicine, Honolulu, HI, USA.
Steven L PastyrnakDepartment of Pediatrics, Spectrum Health-Helen Devos Hospital, Grand Rapids, MI, USA.
Lynne M SmithDepartment of Pediatrics, Lundquist Institute At Harbor-UCLA Medical Center, Torrance, CA, USA.
Antoine SolimanDepartment of Pediatrics, Miller Children's and Women's Hospital Long Beach, Long Beach, CA, USA.
Sheri A DellaGrottaBrown Center for the Study of Children at Risk, Brown Alpert Medical School and Women and Infants Hospital, Providence, RI, USA.
Lynne M DansereauBrown Center for the Study of Children at Risk, Brown Alpert Medical School and Women and Infants Hospital, Providence, RI, USA.
James F PadburyDepartment of Pediatrics, Brown Alpert Medical School and Women and Infants Hospital, Providence, RI, USA.
Barry M LesterDepartment of Pediatrics, Brown Alpert Medical School and Women and Infants Hospital, Providence, RI, USA.
Carmen J MarsitGangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, USA.
Emory University · USProvidence College · USUniversity of North Carolina at Chapel Hill · USChildren's Mercy Hospital · USMiller Children's & Women's Hospital · USSpectrum Health · USUCLA Medical Center · USUniversity of Hawaiʻi at Mānoa · USWake Forest University · US

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Pilot Project ProgramP30ES019776 · NIEHS · EMORY UNIVERSITY · PI William Michael Caudle · 2013 to 2026
$22.6M
ENVIRONMENTAL INFLUENCES ON NEURODEVELOPMENTAL OUTCOME IN INFANTS BORN VERY PRETERMUH3OD023347 · OD · WOMEN AND INFANTS HOSPITAL-RHODE ISLAND · PI LESTER, BARRY M., MARSIT, CARMEN JOSEPH · 2018 to 2022
$18.4M
Epigenetic Predictors of Impairment in Very Preterm InfantsR01HD084515 · NICHD · WOMEN AND INFANTS HOSPITAL-RHODE ISLAND · PI EVERSON, TODD M, LESTER, BARRY M. · 2016 to 2023
$3.9M
Neonatal Neurobehavior and Outcomes in Very Preterm InfantsR01HD072267 · NICHD · WOMEN AND INFANTS HOSPITAL-RHODE ISLAND · PI LESTER, BARRY M., O'SHEA, MICHAEL · 2013 to 2017
$3.3M
NCATS NIH HHS UL1 TR001881NICHD NIH HHS R01 HD072267NICHD NIH HHS R01 HD084515NIEHS NIH HHS P30 ES019776NIH HHS UH3 OD023347
6 · The paper itself

Abstract

backgroundInfants born very preterm are more likely to experience neonatal morbidities compared to their term peers. Variations in DNA methylation (DNAm) associated with these morbidities may yield novel information about the processes impacted by these morbidities.

methodsThis study included 532 infants born < 30 weeks gestation, participating in the Neonatal Neurobehavior and Outcomes in Very Preterm Infants study. We used a neonatal morbidity risk score, which was an additive index of the number of morbidities experienced during the NICU stay, including bronchopulmonary dysplasia (BPD), severe brain injury, serious neonatal infections, and severe retinopathy of prematurity. DNA was collected from buccal cells at discharge from the NICU, and DNAm was measured using the Illumina MethylationEPIC. We tested for differential methylation in association with the neonatal morbidity risk score then tested for differentially methylated regions (DMRs) and overrepresentation of biological pathways.

resultsWe identified ten differentially methylated CpGs (α Bonferroni-adjusted for 706,278 tests) that were associated with increasing neonatal morbidity risk scores at three intergenic regions and at HPS4, SRRD, FGFR1OP, TNS3, TMEM266, LRRC3B, ZNF780A, and TENM2. These mostly followed dose-response patterns, for 8 CpGs increasing DNAm associated with increased numbers of morbidities, while for 2 CpGs the risk score was associated with decreasing DNAm. BPD was the most substantial contributor to differential methylation. We also identified seven potential DMRs and over-representation of genes involved in Wnt signaling; however, these results were not significant after Bonferroni adjustment for multiple testing.

conclusionsNeonatal DNAm, within genes involved in fibroblast growth factor activities, cellular invasion and migration, and neuronal signaling and development, are sensitive to the neonatal health complications of prematurity. We hypothesize that these epigenetic features may be representative of an integrated marker of neonatal health and development and are promising candidates to integrate with clinical information for studying developmental impairments in childhood.

Indexed as

AdultBrain InjuriesBronchopulmonary DysplasiaCpG IslandsDNA MethylationEpigenomicsFemaleGestational AgeHumansInfant, NewbornInfant, PrematureInfant, Premature, DiseasesInfectionsMaleMorbidityMouth MucosaBrain injuryBronchopulmonary dysplasiaEpigeneticsInfectionMethylationNeonatalPretermRetinopathy of prematurity

Identifiers

PMID33076993
PMCPMC7574188
OpenAlexW3093039530

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LicenceCC BY
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Registered trials

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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.