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Gestational DNA methylation age as a marker for fetal development and birth outcomes: findings from the Boston Birth Cohort.
Yaskolka Meir, Anat; Gutierrez, Maria Jimena; Hong, Xiumei; Wang, Guoying; Wang, Xiaobin; Liang, Liming.
Affiliation
  • Yaskolka Meir A; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
  • Gutierrez MJ; Division of Pediatric Allergy, Immunology and Rheumatology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Hong X; Department 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.
  • Wang G; Department 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.
  • Wang X; Department 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.
  • Liang L; Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, USA. xwang82@jhu.edu.
Clin Epigenetics ; 16(1): 110, 2024 Aug 20.
Article in En | MEDLINE | ID: mdl-39164769
ABSTRACT

BACKGROUND:

Gestational 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.

METHODS:

GAmAge 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).

RESULTS:

GAmAge 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).

CONCLUSIONS:

GAmAge 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.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Gestational Age / DNA Methylation / Fetal Development / Fetal Blood Limits: Adult / Female / Humans / Male / Newborn / Pregnancy Country/Region as subject: America do norte Language: En Journal: Clin Epigenetics Year: 2024 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Gestational Age / DNA Methylation / Fetal Development / Fetal Blood Limits: Adult / Female / Humans / Male / Newborn / Pregnancy Country/Region as subject: America do norte Language: En Journal: Clin Epigenetics Year: 2024 Document type: Article Affiliation country: