Epigenetic Clock at Birth and Childhood Blood Pressure Trajectory: A Prospective Birth Cohort Study.

DNA methylation biomarkers blood pressure fetal blood sex characteristics

Journal

Hypertension (Dallas, Tex. : 1979)
ISSN: 1524-4563
Titre abrégé: Hypertension
Pays: United States
ID NLM: 7906255

Informations de publication

Date de publication:
01 Aug 2024
Historique:
medline: 1 8 2024
pubmed: 1 8 2024
entrez: 1 8 2024
Statut: aheadofprint

Résumé

The impact of methylation gestational age (GAmAge; a biomarker of fetal maturity) at birth on childhood blood pressure (BP) trajectories is unknown. This cohort study included 500 boys and 440 girls with data on cord blood DNA methylation and BP at 3 to 15 years of age. Systolic BP (SBP) and diastolic BP percentiles were calculated based on clinical guidelines. Time-series K-means clustering identified 4 distinct SBP and diastolic BP percentile trajectories: high-steady, high-decrease, normal-increase, and normal-steady. GAmAge was estimated using an existing pediatric epigenetic clock. Extrinsic age acceleration was calculated as residuals of associations between GAmAge and chronological gestational age. Intrinsic age acceleration was calculated using the same method adjusting for cord blood cell compositions. Extrinsic age acceleration and intrinsic age acceleration were inversely associated with repeated measures of BP percentiles. Significant inverse associations were observed between extrinsic age acceleration and SBP percentiles in boys (β=-2.02; GAmAge acceleration at birth was inversely associated with child BP, and such association was more pronounced in boys than in girls. Our findings may shed new light on the developmental origins of high BP and sex differences in cardiovascular risk.

Sections du résumé

BACKGROUND UNASSIGNED
The impact of methylation gestational age (GAmAge; a biomarker of fetal maturity) at birth on childhood blood pressure (BP) trajectories is unknown.
METHODS UNASSIGNED
This cohort study included 500 boys and 440 girls with data on cord blood DNA methylation and BP at 3 to 15 years of age. Systolic BP (SBP) and diastolic BP percentiles were calculated based on clinical guidelines. Time-series K-means clustering identified 4 distinct SBP and diastolic BP percentile trajectories: high-steady, high-decrease, normal-increase, and normal-steady. GAmAge was estimated using an existing pediatric epigenetic clock. Extrinsic age acceleration was calculated as residuals of associations between GAmAge and chronological gestational age. Intrinsic age acceleration was calculated using the same method adjusting for cord blood cell compositions.
RESULTS UNASSIGNED
Extrinsic age acceleration and intrinsic age acceleration were inversely associated with repeated measures of BP percentiles. Significant inverse associations were observed between extrinsic age acceleration and SBP percentiles in boys (β=-2.02;
CONCLUSIONS UNASSIGNED
GAmAge acceleration at birth was inversely associated with child BP, and such association was more pronounced in boys than in girls. Our findings may shed new light on the developmental origins of high BP and sex differences in cardiovascular risk.

Identifiants

pubmed: 39087326
doi: 10.1161/HYPERTENSIONAHA.124.22695
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Jie Hu (J)

Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA. (J.H., A.Y.M., F.B.H., L.L.).
Center for Genomic Medicine and Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (J.H.).

Anat Yaskolka Meir (A)

Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA. (J.H., A.Y.M., F.B.H., L.L.).

Xiumei Hong (X)

Center on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (X.H., G.W., X.W.).

Guoying Wang (G)

Center on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (X.H., G.W., X.W.).

Frank B Hu (FB)

Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA. (J.H., A.Y.M., F.B.H., L.L.).
Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA. (F.B.H.).
Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (F.B.H.).

Xiaobin Wang (X)

Center on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (X.H., G.W., X.W.).
Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD (X.W.).

Liming Liang (L)

Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA. (J.H., A.Y.M., F.B.H., L.L.).
Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA. (L.L.).

Classifications MeSH