Evidence map›Paper›PMID 34655469›Full record

ArticleAging2021

NEOage clocks - epigenetic clocks to estimate post-menstrual and postnatal age in preterm infants.

Stefan Graw, Marie Camerota, Brian S Carter, Jennifer Helderman, Julie A Hofheimer, Elisabeth C McGowan, Charles R Neal, Steven L Pastyrnak, Lynne M Smith, Sheri A DellaGrotta and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

14 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Quantification of Epigenetic Aging in Public Health.Annual review of public health · 2025
    Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Biomarkers of aging through the life course: A Recent Literature Update.Current opinion in epidemiology and public health · 2023
    Article
  13. Article
  14. 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

16 authors at 10 institutions in 1 country.

Stefan GrawGangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA 30322, USA.
Marie CamerotaDepartment of Psychiatry and Human Behavior, Brown University, Providence, RI 02906, USA.
Brian S CarterDepartment of Pediatrics-Neonatology, Children's Mercy Hospital, Kansas City, MO 64108, USA.
Jennifer HeldermanDepartment of Pediatrics, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA.
Julie A HofheimerDepartment of Pediatrics, University of North Carolina School of Medicine, Chapel Hill, NC 27599, USA.
Elisabeth C McGowanDepartment of Pediatrics, Brown Alpert Medical School and Women and Infants Hospital, Providence, RI 02912, USA.
Charles R NealDepartment of Pediatrics, University of Hawaii John A. Burns School of Medicine, Honolulu, HI 96813, USA.
Steven L PastyrnakDepartment of Pediatrics, Spectrum Health-Helen Devos Hospital, Grand Rapids, MI 49503, USA.
Lynne M SmithDepartment of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA 90502, USA.
Sheri A DellaGrottaBrown Center for the Study of Children at Risk, Brown Alpert Medical School and Women and Infants Hospital, Providence, RI 02912, USA.
Lynne M DansereauBrown Center for the Study of Children at Risk, Brown Alpert Medical School and Women and Infants Hospital, Providence, RI 02912, USA.
James F PadburyDepartment of Pediatrics, Brown Alpert Medical School and Women and Infants Hospital, Providence, RI 02912, USA.
Michael O'SheaDepartment of Pediatrics, University of North Carolina School of Medicine, Chapel Hill, NC 27599, USA.
Barry M LesterDepartment of Psychiatry and Human Behavior, Brown University, Providence, RI 02906, USA.
Carmen J MarsitGangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA 30322, USA.
Todd M EversonGangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA 30322, USA.
Emory University · USProvidence College · USUniversity of North Carolina at Chapel Hill · USBrown University · USChildren's Mercy Hospital · USHarbor–UCLA Medical Center · USSpectrum Health · USUniversity of Hawaiʻi at Mānoa · USWake Forest University · USWomen & Infants Hospital of Rhode Island · US

Funding

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
NICHD NIH HHS R01 HD072267NICHD NIH HHS R01 HD084515NIEHS NIH HHS P30 ES019776NIH HHS UH3 OD023347
6 · The paper itself

Abstract

Epigenetic clocks based on DNA methylation (DNAm) can accurately predict chronological age and are thought to capture biological aging. A variety of epigenetic clocks have been developed for different tissue types and age ranges, but none have focused on postnatal age prediction for preterm infants. Epigenetic estimators of biological age might be especially informative in epidemiologic studies of neonates since DNAm is highly dynamic during the neonatal period and this is a key developmental window. Additionally, markers of biological aging could be particularly important for those born preterm since they are at heightened risk of developmental impairments. We aimed to fill this gap by developing epigenetic clocks for neonatal aging in preterm infants. As part of the Neonatal Neurobehavior and Outcomes in Very Preterm Infants (NOVI) study, buccal cells were collected at NICU discharge to profile DNAm levels in 542 very preterm infants. We applied elastic net regression to identify four epigenetic clocks (NEOage Clocks) predictive of post-menstrual and postnatal age, compatible with the Illumina EPIC and 450K arrays. We observed high correlations between predicted and reported ages (0.93 - 0.94) with root mean squared errors (1.28 - 1.63 weeks). Epigenetic estimators of neonatal aging in preterm infants can be useful tools to evaluate biological maturity and associations with neonatal and long-term morbidities.

Indexed as

Gestational AgeAge FactorsAgingBiological ClocksDNA MethylationEpigenesis, GeneticFemaleHumansInfant, NewbornInfant, PrematureMaleDNA methylationepigenetic clockneonatal agingpreterm infants

Identifiers

PMID34655469
PMCPMC8580352
OpenAlexW3206175173

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.