Associations between dietary patterns and gene expression profiles of healthy men and women: A cross-sectional study

Nutrition Journal

Volumn 12, Issue 1, 2013, Pages

  Bouchard Mercier, Annie ^a,b,c   Paradis, Ann Marie ^a   Rudkowska, Iwona ^a,b,c   Lemieux, Simone ^a,b   Couture, Patrick ^a   Vohl, Marie Claude ^a,b,c  

^a LAVAL UNIVERSITY   (Canada)

^b UNIVERSITÉ LAVAL   (Canada)

^c LAVAL UNIVERSITY   (Canada)

Author keywords

Dietary patterns; Gene expression; Prudent dietary pattern; Transcriptomics; Western dietary pattern

Indexed keywords

MESSENGER RNA; TRIACYLGLYCEROL;

ADULT; ANTHROPOMETRIC PARAMETERS; APOPTOSIS; ARTICLE; BLOOD PRESSURE MEASUREMENT; BODY MASS; CANADA; CARDIOVASCULAR DISEASE; CELL SURVIVAL; CROSS-SECTIONAL STUDY; DIASTOLIC BLOOD PRESSURE; DIETARY INTAKE; DOWN REGULATION; FEMALE; FOOD FREQUENCY QUESTIONNAIRE; FRUIT; GENE EXPRESSION; GENETIC ASSOCIATION; GRAIN; HUMAN; IMMUNE RESPONSE; MALE; NEOPLASM; NORMAL HUMAN; PERIPHERAL BLOOD MONONUCLEAR CELL; PROTEIN PHOSPHORYLATION; SYSTOLIC BLOOD PRESSURE; TRANSCRIPTOMICS; UPREGULATION; VEGETABLE;

ADULT; BLOOD PRESSURE; CEREALS; CHRONIC DISEASE; CROSS-SECTIONAL STUDIES; DIET; FEMALE; FOOD HABITS; FRUIT; GENE EXPRESSION REGULATION; HUMANS; LEUKOCYTES, MONONUCLEAR; MALE; MEAT PRODUCTS; MIDDLE AGED; NUTRIGENOMICS; NUTRITION ASSESSMENT; QUEBEC; QUESTIONNAIRES; RNA, MESSENGER; TRANSCRIPTOME; VEGETABLES; YOUNG ADULT;

EID: 84873701002     PISSN: None     EISSN: 14752891     Source Type: Journal    
DOI: 10.1186/1475-2891-12-24     Document Type: Article

References (59)

1. Dietary patterns and levels of blood pressure and serum lipids in a Japanese population. Sadakane A, Tsutsumi A, Gotoh T, Ishikawa S, Ojima T, Kario K, et al. J Epidemiol 2008 18 58 67 10.2188/jea.18.58 18403855
2. Major dietary patterns and cardiovascular risk factors from childhood to adulthood. The Cardiovascular Risk in Young Finns Study. Mikkila V, Rasanen L, Raitakari OT, Marniemi J, Pietinen P, Ronnemaa T, et al. Br J Nutr 2007 98 218 225 10.1017/S0007114507691831 17367571 (Pubitemid 47272168)
3. Dietary patterns, subclinical inflammation, incident coronary heart disease and mortality in middle-aged men from the MONICA/KORA Augsburg cohort study. Meyer J, Doring A, Herder C, Roden M, Koenig W, Thorand B, Eur J Clin Nutr 2011 65 800 807 10.1038/ejcn.2011.37 21468094
4. Associations between dietary patterns and obesity phenotypes. Paradis AM, Godin G, Perusse L, Vohl MC, Int J Obes (Lond) 2009 33 1419 1426 10.1038/ijo.2009.179
5. Dietary patterns and risk of mortality from cardiovascular disease, cancer, and all causes in a prospective cohort of women. Heidemann C, Schulze MB, Franco OH, van Dam RM, Mantzoros CS, Hu FB, Circulation 2008 118 230 237 10.1161/CIRCULATIONAHA.108.771881 18574045
6. Stroke, food groups, and dietary patterns: a systematic review. Sherzai A, Heim LT, Boothby C, Sherzai AD, Nutr Rev 2012 70 423 435 10.1111/j.1753-4887. 2012.00490.x 22835136
7. Dietary patterns and risk of colorectal cancer: a systematic review of cohort studies (2000-2011). Yusof AS, Isa ZM, Shah SA, Asian Pac J Cancer Prev 2012 13 4713 4717 10.7314/APJCP.2012.13.9.4713 23167408
8. Association of dietary patterns with cancer recurrence and survival in patients with stage III colon cancer. Meyerhardt JA, Niedzwiecki D, Hollis D, Saltz LB, Hu FB, Mayer RJ, et al. JAMA 2007 298 754 764 10.1001/jama.298.7.754 17699009 (Pubitemid 47263158)
9. Dietary patterns and ethnicity are associated with distinct plasma proteomic groups. Garcia-Bailo B, Brenner DR, Nielsen D, Lee HJ, Domanski D, Kuzyk M, et al. Am J Clin Nutr 2012 95 352 361 10.3945/ajcn.111.022657 22205312
10. Dietary pattern analysis: a new direction in nutritional epidemiology. Hu FB, Curr Opin Lipidol 2002 13 3 9 10.1097/00041433-200202000-00002 11790957 (Pubitemid 34174623)
11. Reproducibility and validity of dietary patterns assessed with a food-frequency questionnaire. Hu FB, Rimm E, Smith-Warner SA, Feskanich D, Stampfer MJ, Ascherio A, et al. Am J Clin Nutr 1999 69 243 249 9989687 (Pubitemid 29065546)
12. Reproducibility and validity of major dietary patterns among Swedish women assessed with a food-frequency questionnaire. Khani BR, Ye W, Terry P, Wolk A, J Nutr 2004 134 1541 1545 15173426 (Pubitemid 38720736)
13. Reproducibility and validity of dietary patterns assessed by a food frequency questionnaire used in the 5-year follow-up survey of the Japan Public Health Center-Based Prospective Study. Nanri A, Shimazu T, Ishihara J, Takachi R, Mizoue T, Inoue M, et al. J Epidemiol 2012 22 205 215 22343330
14. Evidence for the relationship between diet and cancer. Ross SA, Exp Oncol 2010 32 137 142 21403607
15. Next steps in cardiovascular disease genomic research-sequencing, epigenetics, and transcriptomics. Schnabel RB, Baccarelli A, Lin H, Ellinor PT, Benjamin EJ, Clin Chem 2012 58 113 126 10.1373/clinchem.2011.170423 22100807
16. Nutritional genomics, polyphenols, diets, and their impact on dietetics. Barnes S, J Am Diet Assoc 2008 108 1888 1895 10.1016/j.jada.2008.08.014 18954579
17. Fatty acids and retinoids control lipid metabolism through activation of peroxisome proliferator-activated receptor-retinoid X receptor heterodimers. Keller H, Dreyer C, Medin J, Mahfoudi A, Ozato K, Wahli W, Proc Natl Acad Sci USA 1993 90 2160 2164 10.1073/pnas.90.6.2160 8384714 (Pubitemid 23078585)
18. Biomarkers of dietary energy restriction in women at increased risk of breast cancer. Ong KR, Sims AH, Harvie M, Chapman M, Dunn WB, Broadhurst D, et al. Cancer Prev Res (Phila) 2009 2 720 731 10.1158/1940-6207.CAPR-09-0008
19. Identification of adipocyte genes regulated by caloric intake. Franck N, Gummesson A, Jernas M, Glad C, Svensson PA, Guillot G, et al. J Clin Endocrinol Metab 2011 96 413 E418 10.1210/jc.2009-2534 21047925
20. A saturated fatty acid-rich diet induces an obesity-linked proinflammatory gene expression profile in adipose tissue of subjects at risk of metabolic syndrome. van Dijk SJ, Feskens EJ, Bos MB, Hoelen DW, Heijligenberg R, Bromhaar MG, et al. Am J Clin Nutr 2009 90 1656 1664 10.3945/ajcn.2009.27792 19828712
21. Mediterranean diet supplemented with coenzyme Q10 modifies the expression of proinflammatory and endoplasmic reticulum stress-related genes in elderly men and women. Yubero-Serrano EM, Gonzalez-Guardia L, Rangel-Zuniga O, Delgado-Lista J, Gutierrez-Mariscal FM, Perez-Martinez P, et al. J Gerontol A Biol Sci Med Sci 2012 67 3 10 22016358
22. Transcriptomic and metabolomic signatures of an n-3 polyunsaturated fatty acids supplementation in a normolipidemic/normocholesterolemic Caucasian population. Rudkowska I, Paradis AM, Thifault E, Julien P, Tchernof A, Couture P, et al. J Nutr Biochem 2012 24 54 61 22748805
23. Standardization of Anthropometric Measurements. Callaway CW, Chumlea WC, Bouchard C, Himes JH, Lohman TG, Martin AD, Mitchell CD, Mueller WH, Roche AF, Seefeldt VD, The Airlie (VA) Consensus Conference Champaign, IR, USA: Human Kinetics Publishers, Lohman T, Roche A, Martorel R, 1988 39 80
24. Automated enzymatic standardized lipid analyses for plasma and lipoprotein fractions. McNamara JR, Schaefer EJ, Clin Chim Acta 1987 166 1 8 10.1016/0009-8981(87)90188-4 3608193 (Pubitemid 17095867)
25. [On a rapid determination of the cholesterol bound to the serum alpha- and beta-lipoproteins]. Burstein M, SAMAILLE J, Clin Chim Acta 1960 5 609 10.1016/0009-8981(60)90075-9 13806309
26. Multi-laboratory comparison of three heparin-Mn2+ precipitation procedures for estimating cholesterol in high-density lipoprotein. Albers JJ, Warnick GR, Wiebe D, King P, Steiner P, Smith L, et al. Clin Chem 1978 24 853 856 207461 (Pubitemid 8357892)
27. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Friedewald WT, Levy RI, Fredrickson DS, Clin Chem 1972 18 499 502 4337382
28. Age and duration of follow-up as modulators of the risk for ischemic heart disease associated with high plasma C-reactive protein levels in men. Pirro M, Bergeron J, Dagenais GR, Bernard PM, Cantin B, Despres JP, et al. Arch Intern Med 2001 161 2474 2480 10.1001/archinte.161.20.2474 11700160 (Pubitemid 33043121)
29. Quantitative estimation of proteins by electrophoresis in agarose gel containing antibodies. Laurell CB, Anal Biochem 1966 15 45 52 10.1016/0003-2697(66)90246-6 5959431
30. Dauwalder H: [Determination of plasma glucose by hexokinase-glucose-6- phosphate dehydrogenase method]. Richterich R, Schweiz Med Wochenschr 1971 101 615 618 5576952
31. Use of polyethylene glycol to separate free and antibody-bound peptide hormones in radioimmunoassays. Desbuquois B, Aurbach GD, J Clin Endocrinol Metab 1971 33 732 738 10.1210/jcem-33-5-732 5166455
32. The 2009 Canadian Hypertension Education Program recommendations for the management of hypertension: Part 1-blood pressure measurement, diagnosis and assessment of risk. Padwal RS, Hemmelgarn BR, Khan NA, Grover S, McKay DW, Wilson T, et al. Can J Cardiol 2009 25 279 286 10.1016/S0828-282X(09)70491-X 19417858
33. Validity and reproducibility of an interviewer-administered food frequency questionnaire for healthy French-Canadian men and women. Goulet J, Nadeau G, Lapointe A, Lamarche B, Lemieux S, Nutr J 2004 3 13 10.1186/1475-2891-3-13 15363100
34. Empirically derived eating patterns using factor or cluster analysis: a review. Newby PK, Tucker KL, Nutr Rev 2004 62 177 203 10.1111/j.1753-4887.2004. tb00040.x 15212319 (Pubitemid 38702862)
35. Statistics and bioinformatics in nutritional sciences: analysis of complex data in the era of systems biology. Fu WJ, Stromberg AJ, Viele K, Carroll RJ, Wu G, J Nutr Biochem 2010 21 561 572 10.1016/j.jnutbio.2009.11.007 20233650
36. The peripheral blood transcriptome dynamically reflects system wide biology: a potential diagnostic tool. Liew CC, Ma J, Tang HC, Zheng R, Dempsey AA, J Lab Clin Med 2006 147 126 132 10.1016/j.lab.2005.10.005 16503242 (Pubitemid 43288168)
37. The RIN: an RNA integrity number for assigning integrity values to RNA measurements. Schroeder A, Mueller O, Stocker S, Salowsky R, Leiber M, Gassmann M, et al. BMC Mol Biol 2006 7 3 10.1186/1471-2199-7-3 16448564
38. Michal B, Mathieu M, Robert N, FlexArray: A statistical data analysis software for gene expression microarrays Montreal, Canada: Génome Québec 2007 http://genomequebec.mcgill.ca/FlexArray
39. Optimizing the noise versus bias trade-off for Illumina whole genome expression BeadChips. Shi W, Oshlack A, Smyth GK, Nucleic Acids Res 2010 38 204 10.1093/nar/gkq871 20929874
40. Significance analysis of microarrays applied to the ionizing radiation response. Tusher VG, Tibshirani R, Chu G, Proc Natl Acad Sci USA 2001 98 5116 5121 10.1073/pnas.091062498 11309499 (Pubitemid 32397092)
41. Coronary heart disease prevention: nutrients, foods, and dietary patterns. Bhupathiraju SN, Tucker KL, Clin Chim Acta 2011 412 1493 1514 10.1016/j.cca.2011.04.038 21575619
42. Prospective study of major dietary patterns and risk of coronary heart disease in men. Hu FB, Rimm EB, Stampfer MJ, Ascherio A, Spiegelman D, Willett WC, Am J Clin Nutr 2000 72 912 921 11010931
43. Canada H, Eating well with Canada's Food Guide Ottawa: Publications Health Canada 2011 23432182
44. Insulin resistance and hyperinsulinemia: is hyperinsulinemia the cart or the horse? Shanik MH, Xu Y, Skrha J, Dankner R, Zick Y, Roth J, Diabetes Care 2008 31 Suppl 2 262 S268 18227495
45. American Diabetes Association: Standards of medical care in diabetes - 2012. Diabetes Care 2012 35 Suppl 1 11 S63 22187469
46. Gene expression profiling of adipose tissue: individual, depot-dependent, and sex-dependent variabilities. Klaus S, Keijer J, Nutrition 2004 20 115 120 10.1016/j.nut.2003.09.020 14698025 (Pubitemid 38091590)
47. PPARalpha in Obesity: Sex Difference and Estrogen Involvement. Yoon M, PPAR Res 2010 2010
48. Changes in the gene expression of peripheral blood mononuclear cells during the menstrual cycle of females is associated with a gender bias in the incidence of systemic lupus erythematosus. Kawasaki M, Sekigawa I, Nozawa K, Kaneko H, Takasaki Y, Takamori K, et al. Clin Exp Rheumatol 2009 27 260 266 19473566
49. Oxidative stress and redox regulation of phospholipase D in myocardial disease. Tappia PS, Dent MR, Dhalla NS, Free Radic Biol Med 2006 41 349 361 10.1016/j.freeradbiomed.2006.03.025 16843818 (Pubitemid 44056012)
50. Phosphatidic acid: a potential signal transducer for cardiac hypertrophy. Dhalla NS, Xu YJ, Sheu SS, Tappia PS, Panagia V, J Mol Cell Cardiol 1997 29 2865 2871 10.1006/jmcc.1997.0522 9405162 (Pubitemid 27510754)
51. Tyrosine phosphatases as a superfamily of tumor suppressors in colorectal cancer. Laczmanska I, Sasiadek MM, Acta Biochim Pol 2011 58 467 470 22146137
52. Integrin alpha2-beta1 Mediates Tyrosine Phosphorylation of Vascular Endothelial Cadherin Induced by Invasive Breast Cancer Cells. Haidari M, Zhang W, Caivano A, Chen Z, Ganjehei L, Mortazavi A, et al. J Biol Chem 2012 287 23981 23992
53. The modulation of inflammatory gene expression by lipids: mediation through Toll-like receptors. Lee JY, Hwang DH, Mol Cells 2006 21 174 185 16682810
54. Postprandial dietary lipid-specific effects on human peripheral blood mononuclear cell gene expression profiles. Bouwens M, Grootte BM, Jansen J, Muller M, Afman LA, Am J Clin Nutr 2010 91 208 217 10.3945/ajcn.2009.28586 19923369
55. Inhibiting B-cell receptor signaling pathways in chronic lymphocytic leukemia. Burger JA, Curr Hematol Malig Rep 2012 7 26 33 10.1007/s11899-011- 0104-z 22105489
56. American Cancer Society Guidelines on nutrition and physical activity for cancer prevention: reducing the risk of cancer with healthy food choices and physical activity. Kushi LH, Doyle C, McCullough M, Rock CL, Demark-Wahnefried W, Bandera EV, et al. CA Cancer J Clin 2012 62 30 67 10.3322/caac.20140 22237782
57. Interaction between NFkappaB and NFAT coordinates cardiac hypertrophy and pathological remodeling. Liu Q, Chen Y, Auger-Messier M, Molkentin JD, Circ Res 2012 110 1077 1086 10.1161/CIRCRESAHA.111.260729 22403241
58. Dual roles for NFAT transcription factor genes as oncogenes and tumor suppressors. Robbs BK, Cruz AL, Werneck MB, Mognol GP, Viola JP, Mol Cell Biol 2008 28 7168 7181 10.1128/MCB.00256-08 18809576
59. Pronounced effects of acute endurance exercise on gene expression in resting and exercising human skeletal muscle. Catoire M, Mensink M, Boekschoten MV, Hangelbroek R, Muller M, Schrauwen P, et al. PLoS One 2012 7 51066 10.1371/journal.pone.0051066 23226462