Skip to main content

Advertisement

Log in

Epigenetic patterns of two gene promoters (TNF-α and PON) in stroke considering obesity condition and dietary intake

  • Original Paper
  • Published:
Journal of Physiology and Biochemistry Aims and scope Submit manuscript

Abstract

Some causal bases of stroke remain unclear, but the nutritional effects on the epigenetic regulation of different genes may be involved. The aim was to assess the impact of epigenetic processes of human tumor necrosis factor (TNF-α) and paraoxonase (PON) promoters in the susceptibility to stroke when considering body composition and dietary intake. Twenty-four patients (12 non-stroke/12 stroke) were matched by sex (12 male/12 female), age (mean 70 ± 12 years old), and BMI (12 normal-weight/12 obese; mean 28.1 ± 6.7 kg/m2). Blood cell DNA was isolated and DNA methylation levels of TNF-α (−186 to +349 bp) and PON (−231 to +250 bp) promoters were analyzed by the Sequenom EpiTYPER approach. Histone modifications (H3K9ac and H3K4me3) were analyzed also by chromatin immunoprecipitation in a region of TNF-α (−297 to −185). Total TNF-α promoter methylation was lower in stroke patients (p < 0.001) and showed no interaction with body composition (p = 0.807). TNF-α and PON total methylation levels correlated each other (r = 0.44; p = 0.031), especially in stroke patients (r = 0.72; p = 0.008). The +309 CpG methylation site from TNF-α promoter was related to body weight (p = 0.027) and the region containing three CpGs (from −170 to −162 bp) to the percentage of lipid intake and dietary indexes (p < 0.05) in non-stroke patients. The methylation of PON +15 and +241 CpGs was related to body weight (p = 0.021), waist circumference (p = 0.020), and energy intake (p = 0.018), whereas +214 was associated to the quality of the diet (p < 0.05) in non-stroke patients. When comparing stroke vs non-stroke patients regarding the histone modifications analyzed at TNF-α promoter, no changes were found, although a significant association was identified between circulating TNF-α level and H3K9ac with H3K4me3. TNF-α and PON promoter methylation levels could be involved in the susceptibility to stroke and obesity outcome, respectively. The dietary intake and body composition may influence this epigenetic regulation in non-stroke patients.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. Alcacera MA, Marques-Lopes I, Fajo-Pascual M, Foncillas JP, Carmona-Torre F, Martinez-Gonzalez MA (2008) Alcoholic beverage preference and dietary pattern in Spanish university graduates: the SUN cohort study. Eur J Clin Nutr 62:1178–1186

    Article  CAS  PubMed  Google Scholar 

  2. Anderson CD, Biffi A, Rost NS, Cortellini L, Furie KL, Rosand J (2010) Chromosome 9p21 in ischemic stroke. Population structure and meta-analysis. Stroke 41:1123–1131

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  3. Barrachina M, Ferrer I (2009) DNA methylation of Alzheimer disease and tauopathy-related genes in postmortem brain. J Neuropathol Exp Neurol 68:880–891

    Article  CAS  PubMed  Google Scholar 

  4. Bendavid C, Dubourg C, Pasquier L, Gicquel I, Le Gallou S, Mottier S et al (2007) MLPA screening reveals novel subtelomeric rearrangements in holoprosencephaly. Hum Mutat 28:1189–1197

    Article  CAS  PubMed  Google Scholar 

  5. Bodenant M, Kuulasmaa K, Wagner A, Kee F, Palmieri L, Ferrario MM et al (2011) Measures of abdominal adiposity and the risk of stroke: the MOnica Risk, Genetics, Archiving and Monograph (MORGAM) study. Stroke 42:2872–2877

    Article  PubMed  Google Scholar 

  6. Campión J, Milagro F, Martínez JA (2010) Epigenetics and obesity. Prog Mol Biol Transl Sci 94:291–347

    Article  PubMed  Google Scholar 

  7. Campión J, Milagro FI, Goyenechea E, Martínez JÁ (2009) TNF-alpha promoter methylation as a predictive biomarker for weight-loss response. Obesity 17:1293–1297

    PubMed  Google Scholar 

  8. Chmurzynska A (2010) Fetal programming: link between early nutrition, DNA methylation, and complex diseases. Nutr Rev 68:87–98

    Article  PubMed  Google Scholar 

  9. Chomistek AK, Manson JE, Stefanick ML, Lu B, Sands-Lincoln M, Going SB, Garcia L, Allison MA, Sims ST, LaMonte MJ, Johnson KC, Eaton CB (2013) Relationship of sedentary behavior and physical activity to incident cardiovascular disease: results from the Women’s Health Initiative. J Am Coll Cardiol 61:2346–2354

    Article  PubMed  Google Scholar 

  10. Curioni C, André C, Veras R. (2006) Weight reduction for primary prevention of stroke in adults with overweight or obesity. Cochrane Database Syst Rev 18: CD006062

  11. Docherty SJ, Davis OS, Haworth CM, Plomin R, Mill J (2009) Bisulfite-based epityping on pooled genomic DNA provides an accurate estimate of average group DNA methylation. Epigenetics Chromatin 2:3

    Article  PubMed Central  PubMed  Google Scholar 

  12. El Gazzar M, Yoza BK, Hu JY, Cousart SL, McCall CE (2010) Epigenetic silencing of tumor necrosis factor alpha during endotoxin tolerance. J Biol Chem 282:26857–26864

    Article  Google Scholar 

  13. Garden GA (2013) Epigenetics and the modulation of neuroinflammation. Neurotherapeutics 10:782–788

    Article  CAS  PubMed  Google Scholar 

  14. Gorelick PB, Sacco RL, Smith DB, Alberts M, Mustone-Alexander L, Rader D et al (1999) Prevention of a first stroke: a review of guidelines and a multidisciplinary consensus statement from the National Stroke Association. JAMA 281:1112–1120

    Article  CAS  PubMed  Google Scholar 

  15. Goyenechea E, Parra D, Crujeiras AB, Abete I, Martínez JA (2009) A nutrigenomic inflammation-related PBMC-based approach to predict the weight-loss regain in obese subjects. Ann Nutr Metab 54:43–51

    Article  CAS  PubMed  Google Scholar 

  16. Goyenechea E, Parra D, Martínez JA (2007) Impact of interleukin 6–174G>C polymorphism on obesity-related metabolic disorders in people with excess in body weight. Metabolism 56:1643–1648

    Article  CAS  PubMed  Google Scholar 

  17. Hermsdorf HH, Mansego ML, Campión J, Milagro FI, Zulet MA, Martínez JA (2013) TNF-alpha promoter methylation in peripheral white blood cells: relationship with circulating TNFα, truncal fat and n-6 PUFA intake in young women. Cytokine 64:265–271

    Article  Google Scholar 

  18. Hwang JY, Aromolaran KA, Zukin RS (2013) Epigenetic mechanisms in stroke and epilepsy. Neuropsychopharmacology 38:167–182

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  19. Kirsch-Volders M, Bonassi S, Herceg Z, Hirvonen A, Möller L, Phillips DH (2010) Gender-related differences in response to mutagens and carcinogens. Mutagenesis 25:213–221

    Article  CAS  PubMed  Google Scholar 

  20. Kotani K, Sakane N, Sano Y, Tsuzaki K, Matsuoka Y, Egawa K et al (2009) Changes on the physiological lactonase activity of serum paraoxonase 1 by a diet intervention for weight loss in healthy overweight and obese women. J Clin Biochem Nutr 45:329–334

    Article  PubMed Central  PubMed  Google Scholar 

  21. Kumon Y, Nakauchi Y, Suehiro T, Shiinoki T, Tanimoto N, Inoue M et al (2002) Proinflammatory cytokines but not acute phase serum amyloid A or C-reactive protein, downregulate paraoxonase 1 (PON1) expression by HepG2 cells. Amyloid 9:160–164

    Article  CAS  PubMed  Google Scholar 

  22. Laborde CM, Mourino-Alvarez L, Akerstrom F, Padial LR, Vivanco F, Gil-Dones F, Barderas MG (2012) Potential blood biomarkers for stroke. Expert Rev Proteomics 9:437–449

    Article  CAS  PubMed  Google Scholar 

  23. Lachin JM (2005) A review of methods for futility stopping based on conditional power. Stat Med 24:2747–2764

    Article  PubMed  Google Scholar 

  24. Lai CQ, Parnell LD, Troen AM, Shen J, Caouette H, Warodomwichit D et al (2010) MAT1A variants are associated with hypertension, stroke, and markers of DNA damage and are modulated by plasma vitamin B-6 and folate. Am J Clin Nutr 91:1377–1386

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  25. Laird PW (2003) The power and the promise of DNA methylation markers. Nat Rev 3:253–266

    Article  CAS  Google Scholar 

  26. Lanktree MB, Dichgans M, Hegele RA (2010) Advances in genomic analysis of stroke: what have we learned and where are we headed? Stroke 41:825–832

    Article  CAS  PubMed  Google Scholar 

  27. Lv L, Tang YP, Han X, Wang X, Dong Q (2011) Therapeutic application of histone deacetylase inhibitors for stroke. Cent Nerv Syst Agents Med Chem 11:138–149

    Article  CAS  PubMed  Google Scholar 

  28. Martínez-González MA, Sanchez-Villegas A, Faulin FJ (2006) Bioestadística amigable, 2ª Edit. Díaz-Santos

  29. Martin-Moreno JM, Boyle P, Gorgojo L, Maisonneuve P, Fernandez-Rodriguez JC, Salvini S et al (1993) Development and validation of a food frequency questionnaire in Spain. Int J Epidemiol 22:512–519

    Article  CAS  PubMed  Google Scholar 

  30. Mathew OP, Ranganna K, Yatsu FM (2010) Butyrate, an HDAC inhibitor, stimulates interplay between different posttranslational modifications of histone H3 and differently alters G1-specific cell cycle proteins in vascular smooth muscle cells. Biomed Pharmacother 64:733–740

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  31. Miao F, Smith DD, Zhang L, Min A, Feng W, Natarajan R (2008) Lymphocytes from patients with type 1 diabetes display a distinct profile of chromatin histone H3 lysine 9 dimethylation: an epigenetic study in diabetes. Diabetes 57:3189–3198

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  32. Miao F, Wu X, Zhang L, Yuan YC, Riggs AD, Natarajan R (2007) Genome-wide analysis of histone lysine methylation variations caused by diabetic conditions in human monocytes. J Biol Chem 282:13854–13863

    Article  CAS  PubMed  Google Scholar 

  33. Micha R, Mozaffarian D (2010) Saturated fat and cardiometabolic risk factors, coronary heart disease, stroke, and diabetes: a fresh look at the evidence. Lipids 45:893–905

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  34. Moreiras O, Carvajal A, Cabrera L (2009) Tablas de composición de alimentos [Food composition tables]. Pirámide, Madrid

    Google Scholar 

  35. Okamura M, Inagaki T, Tanaka T, Sakai J (2010) Role of histone methylation and demethylation in adipogenesis and obesity. Organogenesis 6:24–32

    Article  PubMed Central  PubMed  Google Scholar 

  36. Pereira TV, Rudnicki M, Franco RF, Pereira AC, Krieger JE (2007) Effect of the G-308A polymorphism of the tumor necrosis factor alpha gene on the risk of ischemic heart disease and ischemic stroke: a meta-analysis. Am Heart J 153:821–830

    Article  CAS  PubMed  Google Scholar 

  37. Pérez S, Parra MD, Martínez de Morentin B, Rodríguez MC, Martínez JA (2005) Evaluación de la variabilidad intraindividual de la medida de composición corporal mediante bioimpedancia en voluntarias sanas y su relación con el índice de masa corporal y el pliegue tricipital. Enferm Clin 15:307–314

    Article  Google Scholar 

  38. Popa C, van Tits LJ, Barrera P, Lemmers HL, van den Hoogen FH, van Riel PL et al (2009) Anti-inflammatory therapy with tumour necrosis factor alpha inhibitors improves high-density lipoprotein cholesterol antioxidative capacity in rheumatoid arthritis patients. Ann Rheum Dis 68:868–872

    Article  CAS  PubMed  Google Scholar 

  39. Puchau B, Zulet MA, de Echávarri AG, Hermsdorff HH, Martínez JA (2010) Dietary total antioxidant capacity is negatively associated with some metabolic syndrome features in healthy young adults. Nutrition 26:534–541

    Article  CAS  PubMed  Google Scholar 

  40. Qureshi IA, Mehler MF (2010) Emerging role of epigenetics in stroke: part 1: DNA methylation and chromatin modifications. Arch Neurol 67:1316–1322

    PubMed Central  PubMed  Google Scholar 

  41. Rando OJ, Verstrepen KJ (2007) Timescales of genetic and epigenetic inheritance. Cell 128:655–668

    Article  CAS  PubMed  Google Scholar 

  42. Roger VL, Go AS, Lloyd-Jones DM, Adams RJ, Berry JD, Brown TM et al (2011) Heart disease and stroke statistic update: a report from the American Heart Association. Circulation 123:240

    Article  Google Scholar 

  43. Ross OA, Meschia JF (2009) Genetics of ischemic stroke: inheritance of a sporadic disorder. Curr Neurol Neurosci Rep 9:19–27

    Article  CAS  PubMed  Google Scholar 

  44. Seres I, Bajnok L, Harangi M, Sztanek F, Koncsos P, Paragh G (2010) Alteration of PON1 activity in adult and childhood obesity and its relation to adipokine levels. Adv Exp Med Biol 660:129–142

    Article  CAS  PubMed  Google Scholar 

  45. Shin BS, Oh SY, Kim YS, Kim KW (2008) The paraoxonase gene polymorphism in stroke patients and lipid profile. Acta Neurol Scand 117:237–243

    Article  CAS  PubMed  Google Scholar 

  46. Timpson NJ, Harbord R, Davey Smith G, Zacho J, Tybjaerg-Hansen A, Nordestgaard BG (2009) Does greater adiposity increase blood pressure and hypertension risk?: Mendelian randomization using the FTO/MC4R genotype. Hypertension 54:84–90

    Article  CAS  PubMed  Google Scholar 

  47. Urdinguio RG, Sanchez-Mut JV, Esteller M (2009) Epigenetic mechanisms in neurological diseases: genes, syndromes, and therapies. Lancet Neurol 8:1056–1072

    Article  CAS  PubMed  Google Scholar 

  48. Wang X, Cheng S, Brophy VH, Erlich HA, Mannhalter C, Berger K et al (2009) A meta-analysis of candidate gene polymorphisms and ischemic stroke in 6 study populations: association of lymphotoxin-alpha in nonhypertensive patients. Stroke 40:683–695

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  49. Wang Z, Leng Y, Tsai LK, Leeds P, Chuang DM (2011) Valproic acid attenuates blood-brain barrier disruption in a rat model of transient focal cerebral ischemia: the roles of HDAC and MMP-9 inhibition. J Cereb Blood Flow Metab 31:52–57

    Article  PubMed Central  PubMed  Google Scholar 

  50. Yamada N, Nishida Y, Tsutsumida H, Goto M, Higashi M, Nomoto M et al (2010) Expression of MUC5AC, an early marker of pancreatobiliary cancer, is regulated by DNA methylation in the distal promoter region in cancer cells. J Hepatobiliary Pancreat Sci 17:844–854

    Article  PubMed  Google Scholar 

  51. Zulet MA, Puchau B, Hermsdorff HH, Navarro C, Martínez JA (2009) Dietary selenium intake is negatively associated with serum sialic acid and metabolic syndrome features in healthy young adults. Nutr Re 29:41–48

    Article  CAS  Google Scholar 

Download references

Acknowledgments

Authors wish to thank to all patients who volunteered to participate in this study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to J. Campión.

Additional information

A.M. Gómez-Uriz and E. Goyenechea contributed equally to this work.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Gómez-Uriz, A.M., Goyenechea, E., Campión, J. et al. Epigenetic patterns of two gene promoters (TNF-α and PON) in stroke considering obesity condition and dietary intake. J Physiol Biochem 70, 603–614 (2014). https://doi.org/10.1007/s13105-014-0316-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13105-014-0316-5

Keyword

Navigation