Evidence map›Paper›PMID 36322087›Full record

ArticleJAMA network open2022

Association of Pediatric Buccal Epigenetic Age Acceleration With Adverse Neonatal Brain Growth and Neurodevelopmental Outcomes Among Children Born Very Preterm With a Neonatal Infection.

Noha Gomaa, Chaini Konwar, Nicole Gladish, Stephanie H Au-Young, Ting Guo, Min Sheng, Sarah M Merrill, Edmond Kelly, Vann Chau, Helen M Branson and 5 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.4field-weighted citation impact, top 4% 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

25 citing papers in PubMed, 30 citations in OpenAlex.

  1. Trial
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  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Quantification of Epigenetic Aging in Public Health.Annual review of public health · 2025
    Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
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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

15 authors at 6 institutions in 1 country.

Noha GomaaSchulich School of Medicine & Dentistry, Western University, London, Ontario, Canada.
Chaini KonwarDepartment of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada.
Nicole GladishDepartment of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada.
Stephanie H Au-YoungNeuroscience and Mental Health Program, SickKids Research Institute, Hospital for Sick Children, Toronto, Ontario, Canada.
Ting GuoNeuroscience and Mental Health Program, SickKids Research Institute, Hospital for Sick Children, Toronto, Ontario, Canada.
Min ShengNeuroscience and Mental Health Program, SickKids Research Institute, Hospital for Sick Children, Toronto, Ontario, Canada.
Sarah M MerrillDepartment of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada.
Edmond KellyDivision of Neonatology, Mount Sinai Hospital, Toronto, Ontario, Canada.
Vann ChauNeuroscience and Mental Health Program, SickKids Research Institute, Hospital for Sick Children, Toronto, Ontario, Canada.
Helen M BransonNeuroscience and Mental Health Program, SickKids Research Institute, Hospital for Sick Children, Toronto, Ontario, Canada.
Linh G LyNeuroscience and Mental Health Program, SickKids Research Institute, Hospital for Sick Children, Toronto, Ontario, Canada.
Emma G DuerdenFaculty of Education, Western University, London, Ontario, Canada.
Ruth E GrunauDivision of Neonatology, BC Children's Hospital, Vancouver, British Columbia, Canada.
Michael S KoborDepartment of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada.
Steven P MillerNeuroscience and Mental Health Program, SickKids Research Institute, Hospital for Sick Children, Toronto, Ontario, Canada.
SickKids Foundation · CAUniversity of British Columbia · CABC Children's Hospital · CAHospital for Sick Children · CAMount Sinai Hospital · CAWestern University · CA

Funding

CIHR MOP 136966
6 · The paper itself

Abstract

Importance: Very preterm neonates (24-32 weeks' gestation) remain at a higher risk of morbidity and neurodevelopmental adversity throughout their lifespan. Because the extent of prematurity alone does not fully explain the risk of adverse neonatal brain growth or neurodevelopmental outcomes, there is a need for neonatal biomarkers to help estimate these risks in this population. Objectives: To characterize the pediatric buccal epigenetic (PedBE) clock-a recently developed tool to measure biological aging-among very preterm neonates and to assess its association with the extent of prematurity, neonatal comorbidities, neonatal brain growth, and neurodevelopmental outcomes at 18 months of age. Design, Setting, and Participants: This prospective cohort study was conducted in 2 neonatal intensive care units of 2 hospitals in Toronto, Ontario, Canada. A total of 35 very preterm neonates (24-32 weeks' gestation) were recruited in 2017 and 2018, and neuroimaging was performed and buccal swab samples were acquired at 2 time points: the first in early life (median postmenstrual age, 32.9 weeks [IQR, 32.0-35.0 weeks]) and the second at term-equivalent age (TEA) at a median postmenstrual age of 43.0 weeks (IQR, 41.0-46.0 weeks). Follow-ups for neurodevelopmental assessments were completed in 2019 and 2020. All neonates in this cohort had at least 1 infection because they were originally enrolled to assess the association of neonatal infection with neurodevelopment. Neonates with congenital malformations, genetic syndromes, or congenital TORCH (toxoplasmosis, rubella, cytomegalovirus, herpes and other agents) infection were excluded. Exposures: The extent of prematurity was measured by gestational age at birth and PedBE age difference. PedBE age was computed using DNA methylation obtained from 94 age-informative CpG (cytosine-phosphate-guanosine) sites. PedBE age difference (weeks) was calculated by subtracting PedBE age at each time point from the corresponding postmenstrual age. Main Outcomes and Measures: Total cerebral volumes and cerebral growth during the neonatal intensive care unit period were obtained from magnetic resonance imaging scans at 2 time points: approximately the first 2 weeks of life and at TEA. Bayley Scales of Infant and Toddler Development, Third Edition, were used to assess neurodevelopmental outcomes at 18 months. Results: Among 35 very preterm neonates (21 boys [60.0%]; median gestational age, 27.0 weeks [IQR, 25.9-29.9 weeks]; 23 [65.7%] born extremely preterm [<28 weeks' gestation]), extremely preterm neonates had an accelerated PedBE age compared with neonates born at a later gestational age (β = 9.0; 95% CI, 2.7-15.3; P = .01). An accelerated PedBE age was also associated with smaller cerebral volumes (β = -5356.8; 95% CI, -6899.3 to -2961.7; P = .01) and slower cerebral growth (β = -2651.5; 95% CI, -5301.2 to -1164.1; P = .04); these associations remained significant after adjusting for clinical neonatal factors. These findings were significant at TEA but not earlier in life. Similarly, an accelerated PedBE age at TEA was associated with lower cognitive (β = -0.4; 95% CI, -0.8 to -0.03; P = .04) and language (β = -0.6; 95% CI, -1.1 to -0.06; P = .02) scores at 18 months. Conclusions and Relevance: This cohort study of very preterm neonates suggests that biological aging may be associated with impaired brain growth and neurodevelopmental outcomes. The associations between epigenetic aging and adverse neonatal brain health warrant further attention.

Indexed as

Infant, Extremely PrematureInfant, Premature, DiseasesAccelerationBrainChildCohort StudiesEpigenesis, GeneticFemaleHumansInfantInfant, NewbornMaleOntarioProspective Studies

Identifiers

PMID36322087
PMCPMC9631102
OpenAlexW4307988511

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.