Evidence map›Paper›PMID 39164769›Full record

ArticleClinical epigenetics2024

Gestational DNA methylation age as a marker for fetal development and birth outcomes: findings from the Boston Birth Cohort.

Anat Yaskolka Meir, Maria Jimena Gutierrez, Xiumei Hong, Guoying Wang, Xiaobin Wang, Liming Liang

Abstract read
In one paragraph

Article in Clinical epigenetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

6 authors.

Anat Yaskolka MeirDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
Maria Jimena GutierrezDivision of Pediatric Allergy, Immunology and Rheumatology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Xiumei HongDepartment of Population, Family and Reproductive Health, Center On Early Life Origins of Disease, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, 21205, USA.
Guoying WangDepartment of Population, Family and Reproductive Health, Center On Early Life Origins of Disease, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, 21205, USA.
Xiaobin WangDepartment of Population, Family and Reproductive Health, Center On Early Life Origins of Disease, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, 21205, USA. xwang82@jhu.edu.
Liming LiangDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA. lliang@hsph.harvard.edu.

Funding

Preterm Birth, Maternal and Cord Blood Metabolome, and Child Metabolic RiskR01HD041702 · NICHD · LURIE CHILDREN'S HOSPITAL OF CHICAGO · PI Frank B Hu, XIAOBIN WANG · 2001 to 2026
$11.1M
Immune Development Across the Life Course: Integrating Exposures and Multi-Omics in the Boston Birth CohortU01ES034983 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI Hongkai Ji, Harry Benjamin Larman · 2022 to 2026
$3.9M
The Hopkins Population CenterP2CHD042854 · NICHD · JOHNS HOPKINS UNIVERSITY · PI FEINIAN CHEN · 2021 to 2026
$3.0M
Inter-generational Link of Cardio-Metabolic Risk: Integrate Multi-OMICs with Birth CohortR01HD098232 · NICHD · JOHNS HOPKINS UNIVERSITY · PI LIANG, LIMING, WANG, XIAOBIN · 2019 to 2022
$2.7M
Functional RNA Modifications, Micronutrient Exposure, Developmental DisabilitiesR01ES031521 · NIEHS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI WANG, XIAOBIN, XIE, HEHUANG · 2020 to 2024
$1.9M
Maternal Exposure to Low Level Mercury, Metabolome, and Child Cardiometabolic Risk in Multi-Ethnic Prospective Birth CohortsR01ES031272 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI WANG, GUOYING, WANG, XIAOBIN · 2020 to 2024
$1.2M
Maternal and Cord Blood Metabolome, Infant Feeding, and Development of Food Allergy in a Prospective Birth CohortR21AI154233 · NIAID · JOHNS HOPKINS UNIVERSITY · PI HONG, XIUMEI · 2020 to 2021
$450k
Interplay of the T Cell Repertoire Development and Early Life Exposure on Incident Risk of Peanut AllergyR21AI171059 · NIAID · JOHNS HOPKINS UNIVERSITY · PI HONG, XIUMEI, SMITH, KELLIE NICOLE · 2023 to 2024
$450k
HRSA of HHS UT7MC45949March of Dimes 6-FY23-0011NIAID NIH HHS R21 AI154233NIAID NIH HHS R21 AI171059NIAID NIH HHS R21AI171059NICHD NIH HHS P2C HD042854NICHD NIH HHS R01 HD041702NICHD NIH HHS R01 HD098232NIEHS NIH HHS R01 ES031272NIEHS NIH HHS R01 ES031521NIEHS NIH HHS U01 ES034983NIH HHS 2R01HD041702; R01HD098232; R01ES031272; R21AI154233; R01ES031521; U01 ES034983
6 · The paper itself

Abstract

backgroundGestational DNA methylation age (GAmAge) has been developed and validated in European ancestry samples. Its applicability to other ethnicities and associations with fetal stress and newborn phenotypes such as inflammation markers are still to be determined. This study aims to examine the applicability of GAmAge developed from cord blood samples of European decedents to a racially diverse birth cohort, and associations with newborn phenotypes.

methodsGAmAge based on 176 CpGs (Haftorn GAmAge) was calculated for 940 children from a US predominantly urban, low-income, multiethnic birth cohort. Cord blood DNA methylation was profiled by Illumina EPIC array. Newborn phenotypes included anthropometric measurements and, for a subset of newborns (N = 194), twenty-seven cord blood inflammatory markers (sandwich immunoassays).

resultsGAmAge had a stronger correlation with GEAA in boys (r = 0.89, 95% confidence interval (CI) [0.87,0.91]) compared with girls (r = 0.83, 95% CI [0.80,0.86]), and was stronger among extremely preterm to very preterm babies (r = 0.91, 95% CI [0.81,0.96]), compared with moderate (r = 0.48, 95% CI [0.34,0.60]) and term babies (r = 0.58, 95% CI [0.53,0.63]). Among White newborns (N = 51), the correlation between GAmAge vs. GEAA was slightly stronger (r = 0.89, 95% CI [0.82,0.94]) compared with Black/African American newborns (N = 668; r = 0.87, 95% CI [0.85,0.89]) or Hispanic (N = 221; r = 0.79, 95% CI [0.74,0.84]). Adjusting for GEAA and sex, GAmAge was associated with anthropometric measurements, cord blood brain-derived neurotrophic factor (BDNF), and monocyte chemoattractant protein-1 (MCP-1) (p < 0.05 for all).

conclusionsGAmAge estimation is robust across different populations and racial/ethnic subgroups. GAmAge may be utilized as a proxy for GEAA and for assessing fetus development, indicated by inflammatory state and birth outcomes.

Indexed as

DNA MethylationFetal BloodFetal DevelopmentGestational AgeBiomarkersBirth CohortBlack or African AmericanBostonCpG IslandsEpigenesis, GeneticFemaleHispanic or LatinoHumansInfant, NewbornMalePregnancyBiomarkersBirth weightEpigenetic clockInflammationPediatrics

Identifiers

PMID39164769
PMCPMC11334360

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LicenceCC BY-NC-ND
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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 Socratic graph.