Literature DB >> 28275132

Impact of polyunsaturated and saturated fat overfeeding on the DNA-methylation pattern in human adipose tissue: a randomized controlled trial.

Alexander Perfilyev1, Ingrid Dahlman2, Linn Gillberg3, Fredrik Rosqvist4, David Iggman4, Petr Volkov1, Emma Nilsson1, Ulf Risérus4, Charlotte Ling5.   

Abstract

Background: Dietary fat composition can affect ectopic lipid accumulation and, thereby, insulin resistance. Diets that are high in saturated fatty acids (SFAs) or polyunsaturated fatty acids (PUFAs) have different metabolic responses.Objective: We investigated whether the epigenome of human adipose tissue is affected differently by dietary fat composition and general overfeeding in a randomized trial.Design: We studied the effects of 7 wk of excessive SFA (n = 17) or PUFA (n = 14) intake (+750 kcal/d) on the DNA methylation of ∼450,000 sites in human subcutaneous adipose tissue. Both diets resulted in similar body weight increases. We also combined the data from the 2 groups to examine the overall effect of overfeeding on the DNA methylation in adipose tissue.
Results: The DNA methylation of 4875 Cytosine-phosphate-guanine (CpG) sites was affected differently between the 2 diets. Furthermore, both the SFA and PUFA diets increased the mean degree of DNA methylation in adipose tissue, particularly in promoter regions. However, although the mean methylation was changed in 1797 genes [e.g., alpha-ketoglutarate dependent dioxygenase (FTO), interleukin 6 (IL6), insulin receptor (INSR), neuronal growth regulator 1 (NEGR1), and proopiomelanocortin (POMC)] by PUFAs, only 125 genes [e.g., adiponectin, C1Q and collagen domain containing (ADIPOQ)] were changed by SFA overfeeding. In addition, the SFA diet significantly altered the expression of 28 transcripts [e.g., acyl-CoA oxidase 1 (ACOX1) and FAT atypical cadherin 1 (FAT1)], whereas the PUFA diet did not significantly affect gene expression. When the data from the 2 diet groups were combined, the mean methylation of 1444 genes, including fatty acid binding protein 1 (FABP1), fatty acid binding protein 2 (FABP2), melanocortin 2 receptor (MC2R), MC3R, PPARG coactivator 1 α (PPARGC1A), and tumor necrosis factor (TNF), was changed in adipose tissue by overfeeding. Moreover, the baseline DNA methylation of 12 CpG sites that was annotated to 9 genes [e.g., mitogen-activated protein kinase 7 (MAPK7), melanin concentrating hormone receptor 1 (MCHR1), and splicing factor SWAP homolog (SFRS8)] was associated with the degree of weight increase in response to extra energy intake.Conclusions: SFA overfeeding and PUFA overfeeding induce distinct epigenetic changes in human adipose tissue. In addition, we present data that suggest that baseline DNA methylation can predict weight increase in response to overfeeding in humans. This trial was registered at clinicaltrials.gov as NCT01427140.
© 2017 American Society for Nutrition.

Entities:  

Keywords:  DNA methylation; EWAS; Illumina 450k methylation array; LIPOGAIN cohort; epigenetics; obesity; overfeeding; polyunsaturated fat; prediction; saturated fat

Mesh:

Substances:

Year:  2017        PMID: 28275132     DOI: 10.3945/ajcn.116.143164

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  55 in total

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3.  Maternal fatty acid concentrations and newborn DNA methylation.

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4.  From Neighborhood to Genome: Three Decades of Nutrition-Related Research from the Atherosclerosis Risk in Communities Study.

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8.  Measured maternal prepregnancy anthropometry and newborn DNA methylation.

Authors:  Edwina H Yeung; Weihua Guan; Sunni L Mumford; Robert M Silver; Cuilin Zhang; Michael Y Tsai; Enrique F Schisterman
Journal:  Epigenomics       Date:  2019-01-08       Impact factor: 4.778

9.  Association of ABCG1 gene methylation and its dynamic change status with incident type 2 diabetes mellitus: the Rural Chinese Cohort Study.

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Journal:  J Hum Genet       Date:  2020-09-23       Impact factor: 3.172

Review 10.  Epigenetic reprogramming in metabolic disorders: nutritional factors and beyond.

Authors:  Zhiyong Cheng; Louise Zheng; Fabio A Almeida
Journal:  J Nutr Biochem       Date:  2017-10-23       Impact factor: 6.048

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