Epigenetic age acceleration in adolescence associates with BMI, inflammation, and risk score for middle age cardiovascular disease

Huang, Rae-Chi, Lillycrop, Karen A, Beilin, Lawrence J, Godfrey, Keith M, Anderson, Denise, Mori, Trevor A, Rauschert, Sebastian, Craig, Jeffrey M, Oddy, Wendy H, Ayonrinde, Oyekoya T, Pennell, Craig E, Holbrook, Joanna D and Melton, Phillip E 2019, Epigenetic age acceleration in adolescence associates with BMI, inflammation, and risk score for middle age cardiovascular disease, Journal of clinical endocrinology and metabolism, vol. 104, no. 7, pp. 3012-3024, doi: 10.1210/jc.2018-02076.

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Title Epigenetic age acceleration in adolescence associates with BMI, inflammation, and risk score for middle age cardiovascular disease
Author(s) Huang, Rae-Chi
Lillycrop, Karen A
Beilin, Lawrence J
Godfrey, Keith M
Anderson, Denise
Mori, Trevor A
Rauschert, Sebastian
Craig, Jeffrey MORCID iD for Craig, Jeffrey M orcid.org/0000-0003-3979-7849
Oddy, Wendy H
Ayonrinde, Oyekoya T
Pennell, Craig E
Holbrook, Joanna D
Melton, Phillip E
Journal name Journal of clinical endocrinology and metabolism
Volume number 104
Issue number 7
Start page 3012
End page 3024
Total pages 13
Publisher Oxford Univesity Press
Place of publication Oxford, Eng.
Publication date 2019-07
ISSN 0021-972X
1945-7197
Keyword(s) Epigenetic Age Acceleration
Adolescence
BMI
Inflammation
Middle Age Cardiovascular Disease
Summary Accelerated aging, assessed by adult DNA methylation, predicts cardiovascular disease (CVD). Adolescent accelerated aging might predict CVD earlier. We investigated whether epigenetic age acceleration (assessed age, 17 years) was associated with adiposity/CVD risk measured (ages 17, 20, and 22 years) and projected CVD by middle age. Design: DNA methylation measured in peripheral blood provided two estimates of epigenetic age acceleration: intrinsic (IEAA; preserved across cell types) and extrinsic (EEAA; dependent on cell admixture and methylation levels within each cell type). Adiposity was assessed by anthropometry, ultrasound, and dual-energy x-ray absorptiometry (ages 17, 20, and 22 years). CVD risk factors [lipids, homeostatic model assessment of insulin resistance (HOMA-IR), blood pressure, inflammatory markers] were assessed at age 17 years. CVD development by age 47 years was calculated by Framingham algorithms. Results are presented as regression coefficients per 5-year epigenetic age acceleration (IEAA/EEAA) for adiposity, CVD risk factors, and CVD development.
Language eng
DOI 10.1210/jc.2018-02076
Indigenous content off
Field of Research 1103 Clinical Sciences
1114 Paediatrics and Reproductive Medicine
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2019, Endocrine Society
Persistent URL http://hdl.handle.net/10536/DRO/DU:30124939

Document type: Journal Article
Collections: Faculty of Health
School of Medicine
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