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HERO ID
6773782
Reference Type
Journal Article
Subtype
Review
Title
Nutritional influences on epigenetics and age-related disease
Author(s)
Park, LK; Friso, S; Choi, SW
Year
2012
Is Peer Reviewed?
1
Journal
Proceedings of the Nutrition Society
ISSN:
0029-6651
EISSN:
1475-2719
Volume
71
Issue
1
Page Numbers
75-83
Language
English
PMID
22051144
DOI
10.1017/S0029665111003302
Web of Science Id
WOS:000299884200009
Abstract
Nutritional epigenetics has emerged as a novel mechanism underlying gene-diet interactions, further elucidating the modulatory role of nutrition in aging and age-related disease development. Epigenetics is defined as a heritable modification to the DNA that regulates chromosome architecture and modulates gene expression without changes in the underlying bp sequence, ultimately determining phenotype from genotype. DNA methylation and post-translational histone modifications are classical levels of epigenetic regulation. Epigenetic phenomena are critical from embryonic development through the aging process, with aberrations in epigenetic patterns emerging as aetiological mechanisms in many age-related diseases such as cancer, CVD and neurodegenerative disorders. Nutrients can act as the source of epigenetic modifications and can regulate the placement of these modifications. Nutrients involved in one-carbon metabolism, namely folate, vitamin B12, vitamin B6, riboflavin, methionine, choline and betaine, are involved in DNA methylation by regulating levels of the universal methyl donor S-adenosylmethionine and methyltransferase inhibitor S-adenosylhomocysteine. Other nutrients and bioactive food components such as retinoic acid, resveratrol, curcumin, sulforaphane and tea polyphenols can modulate epigenetic patterns by altering the levels of S-adenosylmethionine and S-adenosylhomocysteine or directing the enzymes that catalyse DNA methylation and histone modifications. Aging and age-related diseases are associated with profound changes in epigenetic patterns, though it is not yet known whether these changes are programmatic or stochastic in nature. Future work in this field seeks to characterise the epigenetic pattern of healthy aging to ultimately identify nutritional measures to achieve this pattern.
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