Chronic diseases, including obesity, are major causes of morbidity and mortality in most countries. The adverse impacts of obesity and associated comorbidities on health remain a major concern due to the lack of effective interventions for prevention and management. Precision nutrition is an emerging therapeutic approach that takes into account an individual's genetic and epigenetic information, as well as age, gender, or particular physiopathological status. Advances in genomic sciences are contributing to a better understanding of the role of genetic variants and epigenetic signatures as well as gene expression patterns in the development of diverse chronic conditions, and how they may modify therapeutic responses. This knowledge has led to the search for genetic and epigenetic biomarkers to predict the risk of developing chronic diseases and personalizing their prevention and treatment. Additionally, original nutritional interventions based on nutrients and bioactive dietary compounds that can modify epigenetic marks and gene expression have been implemented. Although caution must be exercised, these scientific insights are paving the way for the design of innovative strategies for the control of chronic diseases accompanying obesity. This document provides a number of examples of the huge potential of understanding nutrigenetic, nutrigenomic, and nutriepigenetic roles in precision nutrition.

1.
Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, et al: Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 2014;384:766-781.
2.
Seidell JC, Halberstadt J: The global burden of obesity and the challenges of prevention. Ann Nutr Metab 2015;66(suppl 2):7-12.
3.
Lim SS, Vos T, Flaxman AD, Danaei G, Shibuya K, Adair-Rohani H, et al: A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012;380:2224-2260.
4.
Simopoulos AP: The impact of the Bellagio Report on healthy agriculture, healthy nutrition, healthy people: scientific and policy aspects and the International Network of Centers for Genetics, Nutrition and Fitness for Health. J Nutrigenet Nutrigenomics 2014;7:191-211.
5.
Kang JX: Nutritional problems and solutions for the modern health epidemic. J Nutrigenet Nutrigenomics 2014;7:188-190.
6.
Steemburgo T, Azevedo MJ, Martínez JA: Gene-nutrient interaction and its association with obesity and diabetes mellitus. Arq Bras Endocrinol Metabol 2009;53:497-508.
7.
Martínez JA, Milagro FI, Claycombe KJ, Schalinske KL: Epigenetics in adipose tissue, obesity, weight loss, and diabetes. Adv Nutr 2014;5:71-81.
8.
Kohlmeier M, De Caterina R, Ferguson LR, Görman U, Allayee H, Prasad C, Kang JX, Nicoletti CF, Martinez JA: Guide and Position of the International Society of Nutrigenetics/Nutrigenomics on Personalized Nutrition. 2. Ethics, Challenges and Endeavors of Precision Nutrition. J Nutrigenet Nutrigenomics 2016;9:28-46.
9.
Goni L, Cuervo M, Milagro FI, Martínez JA: Future perspectives of personalized weight loss interventions based on nutrigenetic, epigenetic, and metagenomic data. J Nutr DOI: 10.3945/jn.115.218354.
10.
Aronson SJ, Rehm HL: Building the foundation for genomics in precision medicine. Nature 2015;526:336-342.
11.
Ferguson LR, De Caterina R, Görman U, Allayee H, Kohlmeier M, Prasad C, Choi MS, Curi R, de Luis DA, Gil Á, Kang JX, Martin RL, Milagro FI, Nicoletti CF, Nonino CB, Ordovas JM, Parslow VR, Portillo MP, Santos JL, Serhan CN, Simopoulos AP, Velázquez-Arellano A, Zulet MA, Martinez JA: Guide and position of the International Society of Nutrigenetics/Nutrigenomics on Personalised Nutrition. 1. Fields of precision nutrition. J Nutrigenet Nutrigenomics 2016;9:12-27.
12.
1000 Genomes Project Consortium, Auton A, Brooks LD, Durbin RM, Garrison EP, Kang HM, Korbel JO, Marchini JL, McCarthy S, McVean GA, Abecasis GR: A global reference for human genetic variation. Nature 2015;526:68-74.
13.
Simopoulos AP: Nutrigenetics/nutrigenomics. Annu Rev Public Health 2010;31:53-68.
14.
Martínez JA: Perspectives on personalized nutrition for obesity. J Nutrigenet Nutrigenomics 2014;7:I-III.
15.
Meisel SF, Carere DA, Wardle J, Kalia SS, Moreno TA, Mountain JL, Roberts JS, Green RC; PGen Study Group: Explaining, not just predicting, drives interest in personal genomics. Genome Med 2015;7:74.
16.
Ramos-Lopez O, Panduro A, Martinez-Lopez E, Roman S: Sweet taste receptor TAS1R2 polymorphism (Val191Val) is associated with a higher carbohydrate intake and hypertriglyceridemia among the population of West Mexico. Nutrients 2016;8:101.
17.
Ramos-Lopez O, Panduro A, Martinez-Lopez E, Fierro NA, Ojeda-Granados C, Sepulveda-Villegas M, Roman S: Genetic variant in the CD36 gene (rs1761667) is associated with higher fat intake and high serum cholesterol among the population of West Mexico. J Nutr Food Sci 2015;5:353.
18.
Jiang-Hua Q, De-Chuang J, Zhen-Duo L, Shu-de C, Zhenzhen L: Association of methylenetetrahydrofolate reductase and methionine synthase polymorphisms with breast cancer risk and interaction with folate, vitamin B6, and vitamin B12 intakes. Tumour Biol 2014;35:11895-11901.
19.
Ahn J, Yu K, Stolzenberg-Solomon R, Simon KC, McCullough ML, Gallicchio L, Jacobs EJ, Ascherio A, Helzlsouer K, Jacobs KB, Li Q, Weinstein SJ, Purdue M, Virtamo J, Horst R, Wheeler W, Chanock S, Hunter DJ, Hayes RB, Kraft P, Albanes D: Genome-wide association study of circulating vitamin D levels. Hum Mol Genet 2010;19:2739-2745.
20.
Barry EL, Rees JR, Peacock JL, Mott LA, Amos CI, Bostick RM, Figueiredo JC, Ahnen DJ, Bresalier RS, Burke CA, Baron JA: Genetic variants in CYP2R1, CYP24A1, and VDR modify the efficacy of vitamin D3 supplementation for increasing serum 25-hydroxyvitamin D levels in a randomized controlled trial. J Clin Endocrinol Metab 2014;99:E2133-E2137.
21.
Desmarchelier C, Borel P, Goncalves A, Kopec R, Nowicki M, Morange S, Lesavre N, Portugal H, Reboul E: A combination of single-nucleotide polymorphisms is associated with interindividual variability in cholecalciferol bioavailability in healthy men. J Nutr 2016;146:2421-2428.
22.
Stathopoulou MG, Dedoussis GV, Trovas G, Theodoraki EV, Katsalira A, Dontas IA, Hammond N, Deloukas P, Lyritis GP: The role of vitamin D receptor gene polymorphisms in the bone mineral density of Greek postmenopausal women with low calcium intake. J Nutr Biochem 2011;22:752-757.
23.
Hosseini-Esfahani F, Mirmiran P, Daneshpour MS, Mehrabi Y, Hedayati M, Zarkesh M, Azizi F: Western dietary pattern interaction with APOC3 polymorphism in the risk of metabolic syndrome: Tehran Lipid and Glucose Study. J Nutrigenet Nutrigenomics 2014;7:105-117.
24.
Hosseini-Esfahani F, Mirmiran P, Daneshpour MS, Mehrabi Y, Hedayati M, Soheilian-Khorzoghi M, Azizi F: Dietary patterns interact with APOA1/APOC3 polymorphisms to alter the risk of the metabolic syndrome: the Tehran Lipid and Glucose Study. Br J Nutr 2015;113:644-653.
25.
Palatini P, Ceolotto G, Ragazzo F, Dorigatti F, Saladini F, Papparella I, Mos L, Zanata G, Santonastaso M: CYP1A2 genotype modifies the association between coffee intake and the risk of hypertension. J Hypertens 2009;27:1594-1601.
26.
Cornelis MC, El-Sohemy A, Kabagambe EK, Campos H: Coffee, CYP1A2 genotype, and risk of myocardial infarction. JAMA 2006;295:1135-1141.
27.
Goni L, Cuervo M, Milagro FI, Martínez JA: A genetic risk tool for obesity predisposition assessment and personalized nutrition implementation based on macronutrient intake. Genes Nutr 2015;10:445.
28.
Casas-Agustench P, Arnett DK, Smith CE, Lai CQ, Parnell LD, Borecki IB, Frazier-Wood AC, Allison M, Chen YD, Taylor KD, Rich SS, Rotter JI, Lee YC, Ordovás JM: Saturated fat intake modulates the association between an obesity genetic risk score and body mass index in two US populations. J Acad Nutr Diet 2014;114:1954-1966.
29.
Qi Q, Chu AY, Kang JH, Jensen MK, Curhan GC, Pasquale LR, Ridker PM, Hunter DJ, Willett WC, Rimm EB, Chasman DI, Hu FB, Qi L: Sugar-sweetened beverages and genetic risk of obesity. N Engl J Med 2012;367:1387-1396.
30.
Qi Q, Chu AY, Kang JH, Huang J, Rose LM, Jensen MK, Liang L, Curhan GC, Pasquale LR, Wiggs JL, De Vivo I, Chan AT, Choi HK, Tamimi RM, Ridker PM, Hunter DJ, Willett WC, Rimm EB, Chasman DI, Hu FB, Qi L: Fried food consumption, genetic risk, and body mass index: gene-diet interaction analysis in three US cohort studies. BMJ 2014;348:g1610.
31.
Huang T, Ley SH, Zheng Y, Wang T, Bray GA, Sacks FM, Qi L: Genetic susceptibility to diabetes and long-term improvement of insulin resistance and β cell function during weight loss: the Preventing Overweight Using Novel Dietary Strategies (POUNDS LOST) trial. Am J Clin Nutr 2016;104:198-204.
32.
Wang T, Huang T, Zheng Y, Rood J, Bray GA, Sacks FM, Qi L: Genetic variation of fasting glucose and changes in glycemia in response to 2-year weight-loss diet intervention: the POUNDS LOST trial. Int J Obes (Lond) 2016;40:1164-1169.
33.
Rudkowska I, Guénard F, Julien P, Couture P, Lemieux S, Barbier O, Calder PC, Minihane AM, Vohl MC: Genome-wide association study of the plasma triglyceride response to an n-3 polyunsaturated fatty acid supplementation. J Lipid Res 2014;55:1245-1253.
34.
Fallaize R, Celis-Morales C, Macready AL, Marsaux CF, Forster H, O'Donovan C, Woolhead C, San-Cristobal R, Kolossa S, Hallmann J, Mavrogianni C, Surwillo A, Livingstone KM, Moschonis G, Navas-Carretero S, Walsh MC, Gibney ER, Brennan L, Bouwman J, Grimaldi K, Manios Y, Traczyk I, Drevon CA, Martinez JA, Daniel H, Saris WH, Gibney MJ, Mathers JC, Lovegrove JA; Food4Me Study: The effect of the apolipoprotein E genotype on response to personalized dietary advice intervention: findings from the Food4Me randomized controlled trial. Am J Clin Nutr 2016;104:827-836.
35.
Livingstone KM, Celis-Morales C, Navas-Carretero S, San-Cristobal R, Macready AL, Fallaize R, Forster H, Woolhead C, O'Donovan CB, Marsaux CF, Kolossa S, Tsirigoti L, Lambrinou CP, Moschonis G, Godlewska M, Surwiłło A, Drevon CA, Manios Y, Traczyk I, Gibney ER, Brennan L, Walsh MC, Lovegrove JA, Saris WH, Daniel H, Gibney M, Martinez JA, Mathers JC; Food4Me Study: Effect of an Internet-based, personalized nutrition randomized trial on dietary changes associated with the Mediterranean diet: the Food4Me Study. Am J Clin Nutr 2016;104:288-297.
36.
Nielsen DE, El-Sohemy A: Disclosure of genetic information and change in dietary intake: a randomized controlled trial. PLoS One 2014;9:e112665.
37.
Roke K: Exploration of the perceived and actual benefits of omega-3 fatty acids and the impact of FADS1 and FADS2 genetic information on dietary intake and blood levels of EPA and DHA. Appl Physiol Nutr Metab 2017;42:333.
38.
Nielsen DE, El-Sohemy A: A randomized trial of genetic information for personalized nutrition. Genes Nutr 2012;7:559-566.
39.
Jeon JP, Shim SM, Nam HY, Ryu GM, Hong EJ, Kim HL, Han BG: Copy number variation at leptin receptor gene locus associated with metabolic traits and the risk of type 2 diabetes mellitus. BMC Genomics 2010;11:426.
40.
Falchi M, El-Sayed Moustafa JS, Takousis P, Pesce F, Bonnefond A, Andersson-Assarsson JC, et al: Low copy number of the salivary amylase gene predisposes to obesity. Nat Genet 2014;46:492-497.
41.
Bonnefond A, Yengo L, Dechaume A, Canouil M, Castelain M, Roger E, Allegaert F, Caiazzo R, Raverdy V, Pigeyre M, Arredouani A, Borys JM, Lévy-Marchal C, Weill J, Roussel R, Balkau B, Marre M, Pattou F, Brousseau T, Froguel P: Relationship between salivary/pancreatic amylase and body mass index: a systems biology approach. BMC Med 2017;15:37.
42.
Hameed I, Masoodi SR, Afroze D, Bhat RA, Naykoo NA, Mir SA, Mubarik I, Ganai BA: CTTTA deletion/insertion polymorphism in 3′-UTR of LEPR gene in type 2 diabetes subjects belonging to Kashmiri population. J Diabetes Metab Disord 2014;13:124.
43.
Fenech M, El-Sohemy A, Cahill L, Ferguson LR, French TA, Tai ES, Milner J, Koh WP, Xie L, Zucker M, Buckley M, Cosgrove L, Lockett T, Fung KY, Head R: Nutrigenetics and nutrigenomics: viewpoints on the current status and applications in nutrition research and practice. J Nutrigenet Nutrigenomics 2011;4:69-89.
44.
Ferguson LR: Nutrigenomics approaches to functional foods. J Am Diet Assoc 2009;109:452-458.
45.
Bouchard-Mercier A, Paradis AM, Rudkowska I, Lemieux S, Couture P, Vohl MC: Associations between dietary patterns and gene expression profiles of healthy men and women: a cross-sectional study. Nutr J 2013;12:24.
46.
Pellatt AJ, Slattery ML, Mullany LE, Wolff RK, Pellatt DF: Dietary intake alters gene expression in colon tissue: possible underlying mechanism for the influence of diet on disease. Pharmacogenet Genomics 2016;26:294-306.
47.
Vo TX, Revesz A, Sohi G, Ma N, Hardy DB: Maternal protein restriction leads to enhanced hepatic gluconeogenic gene expression in adult male rat offspring due to impaired expression of the liver X receptor. J Endocrinol 2013;218:85-97.
48.
Tryndyak V, de Conti A, Kobets T, Kutanzi K, Koturbash I, Han T, Fuscoe JC, Latendresse JR, Melnyk S, Shymonyak S, Collins L, Ross SA, Rusyn I, Beland FA, Pogribny IP: Interstrain differences in the severity of liver injury induced by a choline- and folate-deficient diet in mice are associated with dysregulation of genes involved in lipid metabolism. FASEB J 2012;26:4592-4602.
49.
Zhang Q, Sun X, Xiao X, Zheng J, Li M, Yu M, Ping F, Wang Z, Qi C, Wang T, Wang X: Dietary chromium restriction of pregnant mice changes the methylation status of hepatic genes involved with insulin signaling in adult male offspring. PLoS One 2017;12:e0169889.
50.
Yang G, Zhu Y, Dong X, Duan Z, Niu X, Wei J: TLR2-ICAM1-Gadd45α axis mediates the epigenetic effect of selenium on DNA methylation and gene expression in Keshan disease. Biol Trace Elem Res 2014;159:69-80.
51.
Adaikalakoteswari A, Finer S, Voyias PD, McCarthy CM, Vatish M, Moore J, Smart-Halajko M, Bawazeer N, Al-Daghri NM, McTernan PG, Kumar S, Hitman GA, Saravanan P, Tripathi G: Vitamin B12 insufficiency induces cholesterol biosynthesis by limiting s-adenosylmethionine and modulating the methylation of SREBF1 and LDLR genes. Clin Epigenet 2015;7:14.
52.
Feng Y, Zhao LZ, Hong L, Shan C, Shi W, Cai W: Alteration in methylation pattern of GATA-4 promoter region in vitamin A-deficient offspring's heart. J Nutr Biochem 2013;24:1373-1380.
53.
Yubero-Serrano EM, Gonzalez-Guardia L, Rangel-Zuñiga O, Delgado-Lista J, Gutierrez-Mariscal FM, Perez-Martinez P, Delgado-Casado N, Cruz-Teno C, Tinahones FJ, Villalba JM, Perez-Jimenez F, Lopez-Miranda J: Mediterranean diet supplemented with coenzyme Q10 modifies the expression of proinflammatory and endoplasmic reticulum stress-related genes in elderly men and women. J Gerontol A Biol Sci Med Sci 2012;67:3-10.
54.
Yubero-Serrano EM, Gonzalez-Guardia L, Rangel-Zuñiga O, Delgado-Casado N, Delgado-Lista J, Perez-Martinez P, Garcia-Rios A, Caballero J, Marin C, Gutierrez-Mariscal FM, Tinahones FJ, Villalba JM, Tunez I, Perez-Jimenez F, Lopez-Miranda J: Postprandial antioxidant gene expression is modified by Mediterranean diet supplemented with coenzyme Q(10) in elderly men and women. Age (Dordr) 2013;35:159-170.
55.
Camargo A, Delgado-Lista J, Garcia-Rios A, Cruz-Teno C, Yubero-Serrano EM, Perez-Martinez P, Gutierrez-Mariscal FM, Lora-Aguilar P, Rodriguez-Cantalejo F, Fuentes-Jimenez F, Tinahones FJ, Malagon MM, Perez-Jimenez F, Lopez-Miranda J: Expression of proinflammatory, proatherogenic genes is reduced by the Mediterranean diet in elderly people. Br J Nutr 2012;108:500-508.
56.
Varela LM, Ortega-Gomez A, Lopez S, Abia R, Muriana FJ, Bermudez B: The effects of dietary fatty acids on the postprandial triglyceride-rich lipoprotein/apoB48 receptor axis in human monocyte/macrophage cells. J Nutr Biochem 2013;24:2031-2039.
57.
Dziedzic B, Szemraj J, Bartkowiak J, Walczewska A: Various dietary fats differentially change the gene expression of neuropeptides involved in body weight regulation in rats. J Neuroendocrinol 2007;19:364-373.
58.
Huerta AE, Prieto-Hontoria PL, Sáinz N, Martínez JA, Moreno-Aliaga MJ: Supplementation with α-lipoic acid alone or in combination with eicosapentaenoic acid modulates the inflammatory status of healthy overweight or obese women consuming an energy-restricted diet. J Nutr 2016;pii:jn224105.
59.
Huerta AE, Prieto-Hontoria PL, Fernández-Galilea M, Escoté X, Martínez JA, Moreno-Aliaga MJ: Effects of dietary supplementation with EPA and/or α-lipoic acid on adipose tissue transcriptomic profile of healthy overweight/obese women following a hypocaloric diet. Biofactors DOI: 10.1002/biof.1317.
60.
Garcia-Caraballo SC, Comhair TM, Verheyen F, Gaemers I, Schaap FG, Houten SM, Hakvoort TB, Dejong CH, Lamers WH, Koehler SE: Prevention and reversal of hepatic steatosis with a high-protein diet in mice. Biochim Biophys Acta 2013;1832:685-695.
61.
Garcia-Caraballo SC, Comhair TM, Houten SM, Dejong CH, Lamers WH, Koehler SE: High-protein diets prevent steatosis and induce hepatic accumulation of monomethyl branched-chain fatty acids. J Nutr Biochem 2014;25:1263-1274.
62.
Cao J, Han Z, Tian L, Chen K, Fan Y, Ye B, Huang W, Wang C, Huang Z: Curcumin inhibits EMMPRIN and MMP-9 expression through AMPK-MAPK and PKC signaling in PMA induced macrophages. J Transl Med 2014;12:266.
63.
Cao F, Liu T, Xu Y, Xu D, Feng S: Curcumin inhibits cell proliferation and promotes apoptosis in human osteoclastoma cell through MMP-9, NF-κB and JNK signaling pathways. Int J Clin Exp Pathol 2015;8:6037-6045.
64.
Huang Z, Wang C, Wei L, Wang J, Fan Y, Wang L, Wang Y, Chen T: Resveratrol inhibits EMMPRIN expression via P38 and ERK1/2 pathways in PMA-induced THP-1 cells. Biochem Biophys Res Commun 2008;374:517-521.
65.
Boqué N, de la Iglesia R, de la Garza AL, Milagro FI, Olivares M, Bañuelos O, Soria AC, Rodríguez-Sánchez S, Martínez JA, Campión J: Prevention of diet-induced obesity by apple polyphenols in Wistar rats through regulation of adipocyte gene expression and DNA methylation patterns. Mol Nutr Food Res 2013;57:1473-1478.
66.
Mutch DM, Temanni MR, Henegar C, Combes F, Pelloux V, Holst C, Sørensen TI, Astrup A, Martinez JA, Saris WH, Viguerie N, Langin D, Zucker JD, Clément K: Adipose gene expression prior to weight loss can differentiate and weakly predict dietary responders. PLoS One 2007;2:e1344.
67.
Mutch DM, Pers TH, Temanni MR, Pelloux V, Marquez-Quiñones A, Holst C, Martinez JA, Babalis D, van Baak MA, Handjieva-Darlenska T, Walker CG, Astrup A, Saris WH, Langin D, Viguerie N, Zucker JD, Clément K; DiOGenes Project: A distinct adipose tissue gene expression response to caloric restriction predicts 6-mo weight maintenance in obese subjects. Am J Clin Nutr 2011;94:1399-1409.
68.
Goyenechea E, Parra D, Crujeiras AB, Abete I, Martínez JA: A nutrigenomic inflammation-related PBMC-based approach to predict the weight-loss regain in obese subjects. Ann Nutr Metab 2009;54:43-51.
69.
Márquez-Quiñones A, Mutch DM, Debard C, Wang P, Combes M, Roussel B, Holst C, Martinez JA, Handjieva-Darlenska T, Kalouskova P, Jebb S, Babalis D, Pfeiffer AF, Larsen TM, Astrup A, Saris WH, Mariman E, Clément K, Vidal H, Langin D, Viguerie N; DiOGenes Project: Adipose tissue transcriptome reflects variations between subjects with continued weight loss and subjects regaining weight 6 mo after caloric restriction independent of energy intake. Am J Clin Nutr 2010;92:975-984.
70.
Choi SW, Claycombe KJ, Martinez JA, Friso S, Schalinske KL: Nutritional epigenomics: a portal to disease prevention. Adv Nutr 2013;4:530-532.
71.
Jones PA, Baylin SB: The epigenomics of cancer. Cell 2007;128:683-692.
72.
Campión J, Milagro F, Martínez JA: Epigenetics and obesity. Prog Mol Biol Transl Sci 2010;94:291-347.
73.
Duthie SJ: Epigenetic modifications and human pathologies: cancer and CVD. Proc Nutr Soc 2011;70:47-56.
74.
Vucetic Z, Kimmel J, Totoki K, Hollenbeck E, Reyes TM: Maternal high-fat diet alters methylation and gene expression of dopamine and opioid-related genes. Endocrinology 2010;151:4756-4764.
75.
Sohi G, Marchand K, Revesz A, Arany E, Hardy DB: Maternal protein restriction elevates cholesterol in adult rat offspring due to repressive changes in histone modifications at the cholesterol 7alpha-hydroxylase promoter. Mol Endocrinol 2011;25:785-798.
76.
Tryndyak VP, Marrone AK, Latendresse JR, Muskhelishvili L, Beland FA, Pogribny IP: MicroRNA changes, activation of progenitor cells and severity of liver injury in mice induced by choline and folate deficiency. J Nutr Biochem 2016;28:83-90.
77.
Tryndyak VP, Latendresse JR, Montgomery B, Ross SA, Beland FA, Rusyn I, Pogribny IP: Plasma microRNAs are sensitive indicators of inter-strain differences in the severity of liver injury induced in mice by a choline- and folate-deficient diet. Toxicol Appl Pharmacol 2012;262:52-59.
78.
Mas S, Lafuente MJ, Crescenti A, Trias M, Ballesta A, Molina R, Zheng S, Wiencke JK, Lafuente A: Lower specific micronutrient intake in colorectal cancer patients with tumors presenting promoter hypermethylation in p16(INK4a), p4(ARF) and hMLH1. Anticancer Res 2007;27:1151-1156.
79.
Uthus E, Begaye A, Ross S, Zeng H: The von Hippel-Lindau (VHL) tumor-suppressor gene is down-regulated by selenium deficiency in Caco-2 cells and rat colon mucosa. Biol Trace Elem Res 2011;142:223-231.
80.
Zhang H, Chu X, Huang Y, Li G, Wang Y, Li Y, Sun C: Maternal vitamin D deficiency during pregnancy results in insulin resistance in rat offspring, which is associated with inflammation and Iκbα methylation. Diabetologia 2014;57:2165-2172.
81.
Takaya J, Iharada A, Okihana H, Kaneko K: A calcium-deficient diet in pregnant, nursing rats induces hypomethylation of specific cytosines in the 11β-hydroxysteroid dehydrogenase-1 promoter in pup liver. Nutr Res 2013;33:961-970.
82.
Takaya J, Iharada A, Okihana H, Kaneko K: Magnesium deficiency in pregnant rats alters methylation of specific cytosines in the hepatic hydroxysteroid dehydrogenase-2 promoter of the offspring. Epigenetics 2011;6:573-578.
83.
Choi SW, Friso S: Epigenetics: a new bridge between nutrition and health. Adv Nutr 2010;1:8-16.
84.
Arpón A, Riezu-Boj JI, Milagro FI, Razquin C, Martínez-González MA, Corella D, Estruch R, Casas R, Fitó M, Ros E, Salas-Salvadó J, Martínez JA: Adherence to Mediterranean diet is associated with methylation changes in inflammation-related genes in peripheral blood cells. J Physiol Biochem DOI: 10.1007/s13105-017-0552-6.
85.
Nicoletti CF, Nonino CB, de Oliveira BA, Pinhel MA, Mansego ML, Milagro FI, Zulet MA, Martinez JA: DNA methylation and hydroxymethylation levels in relation to two weight loss strategies: energy-restricted diet or bariatric surgery. Obes Surg 2016;26:603-611.
86.
Shah MS, Schwartz SL, Zhao C, Davidson LA, Zhou B, Lupton JR, Ivanov I, Chapkin RS: Integrated microRNA and mRNA expression profiling in a rat colon carcinogenesis model: effect of a chemo-protective diet. Physiol Genomics 2011;43:640-654.
87.
Gil-Zamorano J, Martin R, Daimiel L, Richardson K, Giordano E, Nicod N, García-Carrasco B, Soares SM, Iglesias-Gutiérrez E, Lasunción MA, Sala-Vila A, Ros E, Ordovás JM, Visioli F, Dávalos A: Docosahexaenoic acid modulates the enterocyte Caco-2 cell expression of microRNAs involved in lipid metabolism. J Nutr 2014;144:575-585.
88.
Gracia A, Elcoroaristizabal X, Fernández-Quintela A, Miranda J, Bediaga NG, M de Pancorbo M, Rimando AM, Portillo MP: Fatty acid synthase methylation levels in adipose tissue: effects of an obesogenic diet and phenol compounds. Genes Nutr 2014;9:411.
89.
Morimoto T, Sunagawa Y, Kawamura T, Takaya T, Wada H, Nagasawa A, Komeda M, Fujita M, Shimatsu A, Kita T, Hasegawa K: The dietary compound curcumin inhibits p300 histone acetyltransferase activity and prevents heart failure in rats. J Clin Invest 2008;118:868-878.
90.
Wu P, Huang R, Xiong YL, Wu C: Protective effects of curcumin against liver fibrosis through modulating DNA methylation. Chin J Nat Med 2016;14:255-264.
91.
Hardy TM, Tollefsbol TO: Epigenetic diet: impact on the epigenome and cancer. Epigenomics 2011;3:503-518.
92.
Li Y, Daniel M, Tollefsbol TO: Epigenetic regulation of caloric restriction in aging. BMC Med 2011;9:98.
93.
Martin SL, Hardy TM, Tollefsbol TO: Medicinal chemistry of the epigenetic diet and caloric restriction. Curr Med Chem 2013;20:4050-4059.
94.
Milagro FI, Mansego ML, De Miguel C, Martínez JA: Dietary factors, epigenetic modifications and obesity outcomes: progresses and perspectives. Mol Aspects Med 2013;34:782-812.
95.
Milagro FI, Gómez-Abellán P, Campión J, Martínez JA, Ordovás JM, Garaulet M: CLOCK, PER2 and BMAL1 DNA methylation: association with obesity and metabolic syndrome characteristics and monounsaturated fat intake. Chronobiol Int 2012;29:1180-1194.
96.
Samblas M, Milagro FI, Gómez-Abellán P, Martínez JA, Garaulet M: Methylation on the circadian gene BMAL1 is associated with the effects of a weight loss intervention on serum lipid levels. J Biol Rhythms 2016;31:308-317.
97.
Cordero P, Campion J, Milagro FI, Goyenechea E, Steemburgo T, Javierre BM, Martinez JA: Leptin and TNF-alpha promoter methylation levels measured by MSP could predict the response to a low-calorie diet. J Physiol Biochem 2011;67:463-470.
98.
Crujeiras AB, Campion J, Díaz-Lagares A, Milagro FI, Goyenechea E, Abete I, Casanueva FF, Martínez JA: Association of weight regain with specific methylation levels in the NPY and POMC promoters in leukocytes of obese men: a translational study. Regul Pept 2013;186:1-6.
99.
Lopez-Legarrea P, Mansego ML, Zulet MA, Martinez JA: SERPINE1, PAI-1 protein coding gene, methylation levels and epigenetic relationships with adiposity changes in obese subjects with metabolic syndrome features under dietary restriction. J Clin Biochem Nutr 2013;53:139-144.
100.
Martín-Núñez GM, Cabrera-Mulero R, Rubio-Martín E, Rojo-Martínez G, Olveira G, Valdés S, Soriguer F, Castaño L, Morcillo S: Methylation levels of the SCD1 gene promoter and LINE-1 repeat region are associated with weight change: an intervention study. Mol Nutr Food Res 2014;58:1528-1536.
101.
Milagro FI, Miranda J, Portillo MP, Fernandez-Quintela A, Campión J, Martínez JA: High-throughput sequencing of microRNAs in peripheral blood mononuclear cells: identification of potential weight loss biomarkers. PLoS One 2013;8:e54319.
102.
Rudkowska I, Caron-Dorval D, Verreault M, Couture P, Deshaies Y, Barbier O, Vohl MC: PPARalpha L162V polymorphism alters the potential of n-3 fatty acids to increase lipoprotein lipase activity. Mol Nutr Food Res 2010;54:543-550.
103.
Rudkowska I, Garenc C, Couture P, Vohl MC: Omega-3 fatty acids regulate gene expression levels differently in subjects carrying the PPARalpha L162V polymorphism. Genes Nutr 2009;4:199-205.
104.
Vallée Marcotte B, Guénard F, Cormier H, Lemieux S, Couture P, Rudkowska I, Vohl MC: Plasma triglyceride levels may be modulated by gene expression of IQCJ, NXPH1, PHF17 and MYB in Humans. Int J Mol Sci 2017;18:pii: E257.
105.
Cardoso BR, Busse AL, Hare DJ, Cominetti C, Horst MA, McColl G, Magaldi RM, Jacob-Filho W, Cozzolino SM: Pro198Leu polymorphism affects the selenium status and GPx activity in response to Brazil nut intake. Food Funct 2016;7:825-833.
106.
Ortega-Azorín C, Sorlí JV, Asensio EM, Coltell O, Martínez-González MÁ, Salas-Salvadó J, Covas MI, Arós F, Lapetra J, Serra-Majem L, Gómez-Gracia E, Fiol M, Sáez-Tormo G, Pintó X, Muñoz MA, Ros E, Ordovás JM, Estruch R, Corella D: Associations of the FTO rs9939609 and the MC4R rs17782313 polymorphisms with type 2 diabetes are modulated by diet, being higher when adherence to the Mediterranean diet pattern is low. Cardiovasc Diabetol 2012;11:137.
107.
Sonestedt E, Roos C, Gullberg B, Ericson U, Wirfält E, Orho-Melander M: Fat and carbohydrate intake modify the association between genetic variation in the FTO genotype and obesity. Am J Clin Nutr 2009;90:1418-1425.
108.
Lappalainen T, Lindström J, Paananen J, Eriksson JG, Karhunen L, Tuomilehto J, Uusitupa M: Association of the fat mass and obesity-associated (FTO) gene variant (rs9939609) with dietary intake in the Finnish Diabetes Prevention Study. Br J Nutr 2012;108:1859-1865.
109.
Vimaleswaran KS, Bodhini D, Lakshmipriya N, Ramya K, Anjana RM, Sudha V, Lovegrove JA, Kinra S, Mohan V, Radha V: Interaction between FTO gene variants and lifestyle factors on metabolic traits in an Asian Indian population. Nutr Metab (Lond) 2016;13:39.
110.
Koochakpoor G, Daneshpour MS, Mirmiran P, Hosseini SA, Hosseini-Esfahani F, Sedaghatikhayat B, Azizi F: The effect of interaction between melanocortin-4 receptor polymorphism and dietary factors on the risk of metabolic syndrome. Nutr Metab (Lond) 2016;13:35.
111.
Phillips CM, Goumidi L, Bertrais S, Field MR, McManus R, Hercberg S, Lairon D, Planells R, Roche HM: Gene-nutrient interactions and gender may modulate the association between ApoA1 and ApoB gene polymorphisms and metabolic syndrome risk. Atherosclerosis 2011;214:408-414.
112.
Ouhaibi-Djellouli H, Mediene-Benchekor S, Lardjam-Hetraf SA, Hamani-Medjaoui I, Meroufel DN, Boulenouar H, Hermant X, Saidi-Mehtar N, Amouyel P, Houti L, Goumidi L, Meirhaeghe A: The TCF7L2 rs7903146 polymorphism, dietary intakes and type 2 diabetes risk in an Algerian population. BMC Genet 2014;15:134.
113.
Phillips CM, Goumidi L, Bertrais S, Field MR, McManus R, Hercberg S, Lairon D, Planells R, Roche HM: Dietary saturated fat, gender and genetic variation at the TCF7L2 locus predict the development of metabolic syndrome. J Nutr Biochem 2012;23:239-244.
114.
Corella D, Arregui M, Coltell O, Portolés O, Guillem-Sáiz P, Carrasco P, Sorlí JV, Ortega-Azorín C, González JI, Ordovás JM: Association of the LCT-13910C>T polymorphism with obesity and its modulation by dairy products in a Mediterranean population. Obesity (Silver Spring) 2011;19:1707-1714.
115.
Memisoglu A, Hu FB, Hankinson SE, Manson JE, De Vivo I, Willett WC, Hunter DJ: Interaction between a peroxisome proliferator-activated receptor gamma gene polymorphism and dietary fat intake in relation to body mass. Hum Mol Genet 2003;12:2923-2929.
116.
Sevastianova K, Santos A, Kotronen A, Hakkarainen A, Makkonen J, Silander K, Peltonen M, Romeo S, Lundbom J, Lundbom N, Olkkonen VM, Gylling H, Fielding BA, Rissanen A, Yki-Järvinen H: Effect of short-term carbohydrate overfeeding and long-term weight loss on liver fat in overweight humans. Am J Clin Nutr 2012;96:727-734.
117.
Mansego ML, De Marco G, Ivorra C, Lopez-Izquierdo R, Morcillo S, Rojo-Martínez G, González-Albert V, Martinez F, Soriguer F, Martín-Escudero JC, Redon J, Chaves FJ: The nutrigenetic influence of the interaction between dietary vitamin E and TXN and COMT gene polymorphisms on waist circumference: a case control study. J Transl Med 2015;13:286.
118.
Zhang X, Qi Q, Zhang C, Smith SR, Hu FB, Sacks FM, Bray GA, Qi L: FTO genotype and 2-year change in body composition and fat distribution in response to weight-loss diets: the POUNDS LOST Trial. Diabetes 2012;61:3005-3011.
119.
Zheng Y, Huang T, Zhang X, Rood J, Bray GA, Sacks FM, Qi L: Dietary fat modifies the effects of FTO genotype on changes in insulin sensitivity. J Nutr 2015;145:977-982.
120.
Grau K, Cauchi S, Holst C, Astrup A, Martinez JA, Saris WH, Blaak EE, Oppert JM, Arner P, Rössner S, Macdonald IA, Klimcakova E, Langin D, Pedersen O, Froguel P, Sørensen TI: TCF7L2 rs7903146-macronutrient interaction in obese individuals' responses to a 10-wk randomized hypoenergetic diet. Am J Clin Nutr 2010;91:472-479.
121.
Zhang X, Qi Q, Bray GA, Hu FB, Sacks FM, Qi L: APOA5 genotype modulates 2-y changes in lipid profile in response to weight-loss diet intervention: the Pounds Lost Trial. Am J Clin Nutr 2012;96:917-922.
122.
Qi Q, Bray GA, Hu FB, Sacks FM, Qi L: Weight-loss diets modify glucose-dependent insulinotropic polypeptide receptor rs2287019 genotype effects on changes in body weight, fasting glucose, and insulin resistance: the Preventing Overweight Using Novel Dietary Strategies trial. Am J Clin Nutr 2012;95:506-513.
123.
Qi Q, Durst R, Schwarzfuchs D, Leitersdorf E, Shpitzen S, Li Y, Wu H, Champagne CM, Hu FB, Stampfer MJ, Bray GA, Sacks FM, Shai I, Qi L: CETP genotype and changes in lipid levels in response to weight-loss diet intervention in the POUNDS LOST and DIRECT randomized trials. J Lipid Res 2015;56:713-721.
124.
Qi Q, Zheng Y, Huang T, Rood J, Bray GA, Sacks FM, Qi L: Vitamin D metabolism-related genetic variants, dietary protein intake and improvement of insulin resistance in a 2 year weight-loss trial: POUNDS Lost. Diabetologia 2015;58:2791-2799.
125.
Xu M, Ng SS, Bray GA, Ryan DH, Sacks FM, Ning G, Qi L: Dietary fat intake modifies the effect of a common variant in the LIPC gene on changes in serum lipid concentrations during a long-term weight-loss intervention trial. J Nutr 2015;145:1289-1294.
126.
Xu M, Qi Q, Liang J, Bray GA, Hu FB, Sacks FM, Qi L: Genetic determinant for amino acid metabolites and changes in body weight and insulin resistance in response to weight-loss diets: the Preventing Overweight Using Novel Dietary Strategies (POUNDS LOST) trial. Circulation 2013;127:1283-1289.
127.
Stocks T, Ängquist L, Hager J, Charon C, Holst C, Martinez JA, Saris WH, Astrup A, Sørensen TI, Larsen LH: TFAP2B -dietary protein and glycemic index interactions and weight maintenance after weight loss in the DiOGenes trial. Hum Hered 2013;75:213-219.
128.
Qi Q, Bray GA, Smith SR, Hu FB, Sacks FM, Qi L: Insulin receptor substrate 1 gene variation modifies insulin resistance response to weight-loss diets in a 2-year randomized trial: the Preventing Overweight Using Novel Dietary Strategies (POUNDS LOST) trial. Circulation 2011;124:563-571.
129.
Huang T, Huang J, Qi Q, Li Y, Bray GA, Rood J, Sacks FM, Qi L: PCSK7 genotype modifies effect of a weight-loss diet on 2-year changes of insulin resistance: the POUNDS LOST trial. Diabetes Care 2015;38:439-444.
130.
Goni L, Cuervo M, Milagro FI, Martínez JA: Gene-gene interplay and gene-diet interactions involving the MTNR1B rs10830963 variant with body weight loss. J Nutrigenet Nutrigenomics 2014;7:232-242.
131.
Razquin C, Martinez JA, Martinez-Gonzalez MA, Fernández-Crehuet J, Santos JM, Marti A: A Mediterranean diet rich in virgin olive oil may reverse the effects of the -174G/C IL6 gene variant on 3-year body weight change. Mol Nutr Food Res 2010;54(suppl 1):S75-S82.
132.
Jiménez-Gómez Y, López-Miranda J, Blanco-Colio LM, Marín C, Pérez-Martínez P, Ruano J, Paniagua JA, Rodríguez F, Egido J, Pérez-Jiménez F: Olive oil and walnut breakfasts reduce the postprandial inflammatory response in mononuclear cells compared with a butter breakfast in healthy men. Atherosclerosis 2009;204:e70-e76.
133.
van Dijk SJ, Feskens EJ, Bos MB, Hoelen DW, Heijligenberg R, Bromhaar MG, de Groot LC, de Vries JH, Müller M, Afman LA: A saturated fatty acid-rich diet induces an obesity-linked proinflammatory gene expression profile in adipose tissue of subjects at risk of metabolic syndrome. Am J Clin Nutr 2009;90:1656-1664.
134.
Enos RT, Velázquez KT, Murphy EA: Insight into the impact of dietary saturated fat on tissue-specific cellular processes underlying obesity-related diseases. J Nutr Biochem 2014;25:600-612.
135.
Huang XF, Han M, Storlien LH: The level of NPY receptor mRNA expression in diet-induced obese and resistant mice. Brain Res Mol Brain Res 2003;115:21-28.
136.
Huang XF, Yu Y, Zavitsanou K, Han M, Storlien L: Differential expression of dopamine D2 and D4 receptor and tyrosine hydroxylase mRNA in mice prone, or resistant, to chronic high-fat diet-induced obesity. Brain Res Mol Brain Res 2005;135:150-161.
137.
Wang X, Cheng M, Zhao M, Ge A, Guo F, Zhang M, Yang Y, Liu L, Yang N: Differential effects of high-fat-diet rich in lard oil or soybean oil on osteopontin expression and inflammation of adipose tissue in diet-induced obese rats. Eur J Nutr 2013;52:1181-1189.
138.
Zhao M, Zang B, Cheng M, Ma Y, Yang Y, Yang N: Differential responses of hepatic endoplasmic reticulum stress and inflammation in diet-induced obese rats with high-fat diet rich in lard oil or soybean oil. PLoS One 2013;8:e78620.
139.
Alsiö J, Rask-Andersen M, Chavan RA, Olszewski PK, Levine AS, Fredriksson R, Schiöth HB: Exposure to a high-fat high-sugar diet causes strong up-regulation of proopiomelanocortin and differentially affects dopamine D1 and D2 receptor gene expression in the brainstem of rats. Neurosci Lett 2014;559:18-23.
140.
la Fleur SE, van Rozen AJ, Luijendijk MC, Groeneweg F, Adan RA: A free-choice high-fat high-sugar diet induces changes in arcuate neuropeptide expression that support hyperphagia. Int J Obes (Lond) 2010;34:537-546.
141.
Hao L, Huang KH, Ito K, Sae-Tan S, Lambert JD, Ross AC: Fibroblast growth factor 21 (Fgf21) gene expression is elevated in the liver of mice fed a high-carbohydrate liquid diet and attenuated by a lipid emulsion but is not upregulated in the liver of mice fed a high-fat obesogenic diet. J Nutr 2016;146:184-190.
142.
Glen CD, McVeigh LE, Voutounou M, Dubrova YE: The effects of methyl-donor deficiency on the pattern of gene expression in mice. Mol Nutr Food Res 2015;59:501-506.
143.
Roth CL, Elfers CT, Figlewicz DP, Melhorn SJ, Morton GJ, Hoofnagle A, Yeh MM, Nelson JE, Kowdley KV: Vitamin D deficiency in obese rats exacerbates nonalcoholic fatty liver disease and increases hepatic resistin and Toll-like receptor activation. Hepatology 2012;55:1103-1111.
144.
Tryndyak VP, Han T, Fuscoe JC, Ross SA, Beland FA, Pogribny IP: Status of hepatic DNA methylome predetermines and modulates the severity of non-alcoholic fatty liver injury in mice. BMC Genomics 2016;17:298.
145.
Cialdella-Kam L, Nieman DC, Knab AM, Shanely RA, Meaney MP, Jin F, Sha W, Ghosh S: A mixed flavonoid-fish oil supplement induces immune-enhancing and anti-inflammatory transcriptomic changes in adult obese and overweight women - a randomized controlled trial. Nutrients 2016;8:pii:E277.
146.
Liu HQ, Qiu Y, Mu Y, Zhang XJ, Liu L, Hou XH, Zhang L, Xu XN, Ji AL, Cao R, Yang RH, Wang F: A high ratio of dietary n-3/n-6 polyunsaturated fatty acids improves obesity-linked inflammation and insulin resistance through suppressing activation of TLR4 in SD rats. Nutr Res 2013;33:849-858.
147.
Sen T, Chatterjee A: Epigallocatechin-3-gallate (EGCG) downregulates EGF-induced MMP-9 in breast cancer cells: involvement of integrin receptor α5β1 in the process. Eur J Nutr 2011;50:465-478.
148.
Sen T, Moulik S, Dutta A, Choudhury PR, Banerji A, Das S, Roy M, Chatterjee A: Multifunctional effect of epigallocatechin-3-gallate (EGCG) in downregulation of gelatinase-A (MMP-2) in human breast cancer cell line MCF-7. Life Sci 2009;84:194-204.
149.
Sil H, Sen T, Moulik S, Chatterjee A: Black tea polyphenol (theaflavin) downregulates MMP-2 in human melanoma cell line A375 by involving multiple regulatory molecules. J Environ Pathol Toxicol Oncol 2010;29:55-68.
150.
Gracia A, Miranda J, Fernández-Quintela A, Eseberri I, Garcia-Lacarte M, Milagro FI, Martínez JA, Aguirre L, Portillo MP: Involvement of miR-539-5p in the inhibition of de novo lipogenesis induced by resveratrol in white adipose tissue. Food Funct 2016;7:1680-1688.
151.
Yang M, Teng W, Qu Y, Wang H, Yuan Q: Sulforaphene inhibits triple negative breast cancer through activating tumor suppressor Egr1. Breast Cancer Res Treat 2016;158:277-286.
152.
Li Y, Chen H, Hardy TM, Tollefsbol TO: Epigenetic regulation of multiple tumor-related genes leads to suppression of breast tumorigenesis by dietary genistein. PLoS One 2013;8:e54369.
153.
Uriarte G, Paternain L, Milagro FI, Martínez JA, Campion J: Shifting to a control diet after a high-fat, high-sucrose diet intake induces epigenetic changes in retroperitoneal adipocytes of Wistar rats. J Physiol Biochem 2013;69:601-611.
154.
Agodi A, Barchitta M, Quattrocchi A, Maugeri A, Canto C, Marchese AE, Vinciguerra M: Low fruit consumption and folate deficiency are associated with LINE-1 hypomethylation in women of a cancer-free population. Genes Nutr 2015;10:480.
155.
Cordero P, Gomez-Uriz AM, Campion J, Milagro FI, Martinez JA: Dietary supplementation with methyl donors reduces fatty liver and modifies the fatty acid synthase DNA methylation profile in rats fed an obesogenic diet. Genes Nutr 2013;8:105-113.
156.
Di Francesco A, Falconi A, Di Germanio C, Micioni Di Bonaventura MV, Costa A, Caramuta S, Del Carlo M, Compagnone D, Dainese E, Cifani C, Maccarrone M, D'Addario C: Extravirgin olive oil up-regulates CB₁ tumor suppressor gene in human colon cancer cells and in rat colon via epigenetic mechanisms. J Nutr Biochem 2015;26:250-258.
157.
Huang Q, Wen J, Chen G, Ge M, Gao Y, Ye X, Liu C, Cai C: Omega-3 polyunsaturated fatty acids inhibited tumor growth via preventing the decrease of genomic DNA methylation in colorectal cancer rats. Nutr Cancer 2016;68:113-119.
158.
Papoutsis AJ, Borg JL, Selmin OI, Romagnolo DF: BRCA-1 promoter hypermethylation and silencing induced by the aromatic hydrocarbon receptor-ligand TCDD are prevented by resveratrol in MCF-7 cells. J Nutr Biochem 2012;23:1324-1332.
159.
Altamemi I, Murphy EA, Catroppo JF, Zumbrun EE, Zhang J, McClellan JL, Singh UP, Nagarkatti PS, Nagarkatti M: Role of microRNAs in resveratrol-mediated mitigation of colitis-associated tumorigenesis in Apc(Min/+) mice. J Pharmacol Exp Ther 2014;350:99-109.
160.
Zhu X, Liu Q, Wang M, Liang M, Yang X, Xu X, Zou H, Qiu J: Activation of Sirt1 by resveratrol inhibits TNF-α induced inflammation in fibroblasts. PLoS One 2011;6:e27081.
161.
Buhrmann C, Shayan P, Popper B, Goel A, Shakibaei M: Sirt1 is required for resveratrol-mediated chemopreventive effects in colorectal cancer cells. Nutrients 2016;8:145.
162.
Morris J, Moseley VR, Cabang AB, Coleman K, Wei W, Garrett-Mayer E, Wargovich MJ: Reduction in promotor methylation utilizing EGCG (epigallocatechin-3-gallate) restores RXRα expression in human colon cancer cells. Oncotarget 2016;7:35313-35326.
163.
Tsang WP, Kwok TT: Epigallocatechin gallate up-regulation of miR-16 and induction of apoptosis in human cancer cells. J Nutr Biochem 2010;21:140-146.
164.
Deb G, Thakur VS, Limaye AM, Gupta S: Epigenetic induction of tissue inhibitor of matrix metalloproteinase-3 by green tea polyphenols in breast cancer cells. Mol Carcinog 2015;54:485-499.
165.
Thakur VS, Gupta K, Gupta S: Green tea polyphenols increase p53 transcriptional activity and acetylation by suppressing class I histone deacetylases. Int J Oncol 2012;41:353-361.
166.
Sun M, Estrov Z, Ji Y, Coombes KR, Harris DH, Kurzrock R: Curcumin (diferuloylmethane) alters the expression profiles of microRNAs in human pancreatic cancer cells. Mol Cancer Ther 2008;7:464-473.
167.
Myzak MC, Dashwood WM, Orner GA, Ho E, Dashwood RH: Sulforaphane inhibits histone deacetylase in vivo and suppresses tumorigenesis in Apc-minus mice. FASEB J 2006;20:506-508.
168.
Clarke JD, Hsu A, Yu Z, Dashwood RH, Ho E: Differential effects of sulforaphane on histone deacetylases, cell cycle arrest and apoptosis in normal prostate cells versus hyperplastic and cancerous prostate cells. Mol Nutr Food Res 2011;55:999-1009.
169.
Majid S, Kikuno N, Nelles J, Noonan E, Tanaka Y, Kawamoto K, Hirata H, Li LC, Zhao H, Okino ST, Place RF, Pookot D, Dahiya R: Genistein induces the p21WAF1/CIP1 and p16INK4a tumor suppressor genes in prostate cancer cells by epigenetic mechanisms involving active chromatin modification. Cancer Res 2008;68:2736-2744.
Copyright / Drug Dosage / Disclaimer
Copyright: All rights reserved. No part of this publication may be translated into other languages, reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, microcopying, or by any information storage and retrieval system, without permission in writing from the publisher.
Drug Dosage: The authors and the publisher have exerted every effort to ensure that drug selection and dosage set forth in this text are in accord with current recommendations and practice at the time of publication. However, in view of ongoing research, changes in government regulations, and the constant flow of information relating to drug therapy and drug reactions, the reader is urged to check the package insert for each drug for any changes in indications and dosage and for added warnings and precautions. This is particularly important when the recommended agent is a new and/or infrequently employed drug.
Disclaimer: The statements, opinions and data contained in this publication are solely those of the individual authors and contributors and not of the publishers and the editor(s). The appearance of advertisements or/and product references in the publication is not a warranty, endorsement, or approval of the products or services advertised or of their effectiveness, quality or safety. The publisher and the editor(s) disclaim responsibility for any injury to persons or property resulting from any ideas, methods, instructions or products referred to in the content or advertisements.
You do not currently have access to this content.