2018
DOI: 10.1002/mnfr.201800092
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Dietary Intervention Modifies DNA Methylation Age Assessed by the Epigenetic Clock

Abstract: Scope Alterations in DNA methylation patterns are correlated with aging, environmental exposures, and disease pathophysiology; the possibility of reverting or preventing these processes through dietary intervention is gaining momentum. In particular, methyl donors that provide S‐adenosyl‐methionine for one‐carbon metabolism and polyphenols such as flavanols that inhibit the activity of DNA methyltransferases (DNMTs) can be key modifiers of epigenetic patterns. Methods and results DNA methylation patterns are a… Show more

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Cited by 79 publications
(58 citation statements)
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References 39 publications
(62 reference statements)
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“…In a recent study, the effects of dietary supplementation with folic acid and vitamin B12 on epigenetic age deceleration were found dependent upon gender and MTHFR genotype (Sae-Lee et al 2018). Only the group of women with the MTHFR 677CC genotype displayed a deceleration in epigenetic aging upon vitaminic supplementation (Sae-Lee et al 2018).…”
Section: Discussionmentioning
confidence: 96%
“…In a recent study, the effects of dietary supplementation with folic acid and vitamin B12 on epigenetic age deceleration were found dependent upon gender and MTHFR genotype (Sae-Lee et al 2018). Only the group of women with the MTHFR 677CC genotype displayed a deceleration in epigenetic aging upon vitaminic supplementation (Sae-Lee et al 2018).…”
Section: Discussionmentioning
confidence: 96%
“…DNA methylation is reversible, therefore identification of aberrant DNA methylation patterns in genes critical to metabolic regulation may provide unique opportunities for intervention strategies. Lifestyle modifications such as diet ( Obeid et al, 2018 ; Sae-Lee et al, 2018 ) and exercise ( Rönn et al, 2013 ; Fabre et al, 2018 ) have been shown to reprogram altered DNA methylation, thus may lead to restoring metabolic homeostasis and preventing disease progression.…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, our results uncover novel machine-learned associations between age and specific metatranscriptomic features that could guide the design of nutritional interventions to reduce biological age and increase the human healthspan (see e.g. Sae-Lee et al, 2018;Ghosh et al, 2019). We will continue to evaluate and improve the models as we obtain more data.…”
Section: Resultsmentioning
confidence: 88%