Life-course socioeconomic status and DNA methylation of genes regulating inflammation

International Journal of Epidemiology

Volumn 44, Issue 4, 2015, Pages 1320-1330

  Stringhini, Silvia ^a   Polidoro, Silvia ^b   Sacerdote, Carlotta ^b   Kelly, Rachel S ^c,d   Van Veldhoven, Karin ^b,c   Agnoli, Claudia ^e   Grioni, Sara ^e   Tumino, Rosario ^f   Giurdanella, Maria Concetta ^f   Panico, Salvatore ^g   Mattiello, Amalia ^g   Palli, Domenico ^h   Masala, Giovanna ^h   Gallo, Valentina ^c,i   Castagné, Raphaële ^c   Paccaud, Fred ^a   Campanella, Gianluca ^c   Chadeau Hyam, Marc ^c   Vineis, Paolo ^b,c  

^a UNIVERSITY OF LAUSANNE   (Switzerland)

^b Human Genetics Foundation   (Italy)

^c IMPERIAL COLLEGE LONDON   (United Kingdom)

^d HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^e NATIONAL CANCER INSTITUTE   (Italy)

^f Cancer Registry and Histopathology Unit Civic MP Arezzo Hospita   (Italy)

^g UNIVERSITY OF NAPLES FEDERICO II   (Italy)

^h CANCER RESEARCH AND PREVENTION INSTITUTE ISPO   (Italy)

ⁱ QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

DNA methylation; Inflammation; Life course; Socioeconomic status

Indexed keywords

CXCL2 CHEMOKINE; DNA; INTERLEUKIN 1ALPHA; MITOGEN ACTIVATED PROTEIN KINASE; NFATC1 PROTEIN, HUMAN; TRANSCRIPTION FACTOR NFAT;

DNA; DOSE-RESPONSE RELATIONSHIP; GENE EXPRESSION; GENETICS; GENOME; HEALTH RISK; IMMUNE RESPONSE; METHYLATION; SOCIOECONOMIC STATUS;

ADULT; ARTICLE; CHRONIC DISEASE; COHORT ANALYSIS; DNA METHYLATION; DNA MICROARRAY; DOSE RESPONSE; FEMALE; GENE; GENE CONTROL; GENETIC ASSOCIATION; GPR132 GENE; HUMAN; IMMUNE RESPONSE; INFLAMMATION; MALE; MICROARRAY ANALYSIS; NORMAL HUMAN; PRIORITY JOURNAL; PROTEIN FAMILY; SOCIAL ENVIRONMENT; SOCIAL STATUS; GENETICS; GENOME-WIDE ASSOCIATION STUDY; ITALY; MIDDLE AGED; MULTIVARIATE ANALYSIS; PROSPECTIVE STUDY; SOCIAL CLASS;

DNA METHYLATION; FEMALE; GENOME-WIDE ASSOCIATION STUDY; HEALTHY VOLUNTEERS; HUMANS; INFLAMMATION; ITALY; MALE; MIDDLE AGED; MULTIVARIATE ANALYSIS; NFATC TRANSCRIPTION FACTORS; PROSPECTIVE STUDIES; SOCIAL CLASS; SOCIAL ENVIRONMENT;

EID: 84943776956     PISSN: 03005771     EISSN: 14643685     Source Type: Journal    
DOI: 10.1093/ije/dyv060     Document Type: Article

References (44)

1. Adler NE, Boyce T, Chesney MA et al. Socioeconomic status and health. The challenge of the gradient. Am Psychol 1994;49:15-24.
2. Stringhini S, Dugravot A, Shipley M et al. Health behaviours, socioeconomic status, and mortality: further analyses of the British Whitehall II and the French GAZEL prospective cohorts. PLoS Med 2011;8:e1000419.
3. Stringhini S, Sabia S, Shipley M et al. Association of socioeconomic position with health behaviors and mortality. JAMA 2010;303:1159-66.
4. Gallo V, Mackenbach JP, Ezzati M et al. Social inequalities and mortality in Europe - results from a large multi-national cohort. PLoS One 2012;7:e39013.
5. Kivimaki M, Shipley MJ, Ferrie JE et al. Best-practice interventions to reduce socioeconomic inequalities of coronary heart disease mortality in UK: a prospective occupational cohort study. Lancet 2008;372:1648-54.
6. Rutter M. Achievements and challenges in the biology of environmental effects. Proc Natl Acad Sci U S A 2012;109(Suppl 2):17149-53.
7. Dowd JB, Simanek AM, Aiello AE. Socio-economic status, cortisol and allostatic load: a review of the literature. Int J Epidemiol 2009;38:1297-309.
8. Ranjit N, Diez-Roux AV, Shea S, Cushman M, Ni H, Seeman T. Socioeconomic position, race/ethnicity, and inflammation in the multi-ethnic study of atherosclerosis. Circulation 2007;116:2383-90.
9. Loucks EB, Pilote L, Lynch JW et al. Life course socioeconomic position is associated with inflammatory markers:the Framingham Offspring Study. Soc Sci Med 2010;71:187-95.
10. Carroll JE, Cohen S, Marsland AL. Early childhood socioeconomic status is associated with circulating interleukin-6 among mid-life adults. Brain Behav Immun 2011;25:1468-74.
11. Steptoe A, Shamaei-Tousi A, Gylfe A, Henderson B, Bergstrom S, Marmot M. Socioeconomic status, pathogen burden and cardiovascular disease risk. Heart 2007;93:1567-70.
12. Dowd JB, Zajacova A, Aiello A. Early origins of health disparities:burden of infection, health, and socioeconomic status in U.S. children. Soc Sci Med 2009;68:699-707.
13. Gianaros PJ, Manuck SB. Neurobiological pathways linking socioeconomic position and health. Psychosom Med 2010;72:450-61.
14. Kaplan GA, Keil JE. Socioeconomic factors and cardiovascular disease: a review of the literature. Circulation 1993;88(4 Pt 1):1973-98.
15. Stringhini S, Tabak AG, Akbaraly TN et al. Contribution of modifiable risk factors to social inequalities in type 2 diabetes:prospective Whitehall II cohort study. BMJ 2012;345:e5452.
16. Dohrenwend BP, Levav I, Shrout PE et al. Socioeconomic status and psychiatric disorders: the causation-selection issue. Science 1992;255:946-52.
17. Stringhini S, Batty GD, Bovet P et al. Association of lifecourse socioeconomic status with chronic inflammation and type 2 diabetes risk: The Whitehall II Prospective Cohort Study. PLoS Med 2013;10:e1001479.
18. Miller GE, Chen E, Parker KJ. Psychological stress in childhood and susceptibility to the chronic diseases of aging: moving toward a model of behavioral and biological mechanisms. Psychol Bull 2011;137:959-97.
19. Miller GE, Chen E, Fok AK et al. Low early-life social class leaves a biological residue manifested by decreased glucocorticoid and increased proinflammatory signaling. Proc Natl Acad Sci USA2009;106:14716-21.
20. Tung J, Barreiro LB, Johnson ZP et al. Social environment is associated with gene regulatory variation in the rhesus macaque immune system. Proc Natl Acad Sci U S A 2012;109:6490-95.
21. Borghol N, Suderman M, McArdle W et al. Associations with early-life socio-economic position in adult DNA methylation. Int J Epidemiol 2012;41:62-74.
22. McGuinness D, McGlynn LM, Johnson PC et al. Socio-economic status is associated with epigenetic differences in the pSoBid cohort. Int J Epidemiol 2012;41:151-60.
23. Tehranifar P, Wu HC, Fan X et al. Early life socioeconomic factors and genomic DNA methylation in mid-life. Epigenetics 2013;8:123-27.
24. Lam LL, Emberly E, Fraser HB et al. Factors underlying variable DNA methylation in a human community cohort. Proc Natl Acad Sci U S A 2012;109(Suppl 2):17253-60.
25. Riboli E, Kaaks R. The EPIC Project: rationale and study design. European Prospective Investigation into Cancer and Nutrition. Int J Epidemiol 1997;26(Suppl 1):S6-14.
26. Osservatorio Regionale sul Mercato del Lavoro (ORML). L'occupazione femminile in Piemonte. ISTAT. Torino, Italy. 2007.
27. Wareham NJ, Jakes RW, Rennie KL et al. Validity and repeatability of a simple index derived from the short physical activity questionnaire used in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Public Health Nutr 2003;6:407-13.
28. Agnoli C, Krogh V, Grioni S et al. A priori-defined dietary patterns are associated with reduced risk of stroke in a large Italian cohort. J Nutr 2011;141:1552-58.
29. Riboli E, Hunt KJ, Slimani N et al. European Prospective Investigation into Cancer and Nutrition (EPIC): study populations and data collection. Public Health Nutr 2002;5:1113-24.
30. Houseman EA, Accomando WP, Koestler DC et al. DNA methylation arrays as surrogate measures of cell mixture distribution. BMC Bioinformatics 2012;13:86.
31. Loucks EB, Sullivan LM, Hayes LJ et al. Association of educational level with inflammatory markers in the Framingham Offspring Study. Am J Epidemiol 2006;163:622-28.
32. O'Reilly DS, Upton MN, Caslake MJ et al. Plasma C reactive protein concentration indicates a direct relation between systemic inflammation and social deprivation. Heart 2006;92:533-35.
33. Alley DE, Seeman TE, Ki Kim J Karlamangla, A Hu, P Crimmins, EM. Socioeconomic status and C-reactive protein levels in the US population: NHANES IV. Brain Behav Immun 2006;20:498-504.
34. Gimeno D, Ferrie JE, Elovainio Met al. When do social inequalities in C-reactive protein start? A life course perspective from conception to adulthood in the Cardiovascular Risk in Young Finns Study. Int J Epidemiol 2008;37:290-98.
35. Slopen N, Koenen KC, Kubzansky LD. Childhood adversity and immune and inflammatory biomarkers associated with cardiovascular risk in youth: a systematic review. Brain Behav Immun 2012;26:239-50.
36. Ball MP, Li JB, Gao Y et al. Targeted and genome-scale strategies reveal gene-body methylation signatures in human cells. Nat Biotechnol 2009;27:361-68.
37. Deaton AM, Webb S, Kerr AR et al. Cell type-specific DNA methylation at intragenic CpG islands in the immune system. Genome Res 2011;21:1074-86.
38. Tung J, Gilad Y. Social environmental effects on gene regulation. Cell Mol Life Sci 2013;70:4323-39.
39. Heijmans BT, Mill J. Commentary: The seven plagues of epigenetic epidemiology. Int J Epidemiol 2012;41:74-78.
40. Cole SW. Human social genomics. PLoS Genet 2014;10:e1004601.
41. Batty GD, Lawlor DA, Macintyre S, Clark H, Leon DA. Accuracy of adults' recall of childhood social class: findings from the Aberdeen children of the 1950s study. J Epidemiol Community Health 2005;59:898-903.
42. Vannoni F, Spadea T, Frasca G et al. Association between social class and food consumption in the Italian EPIC population. Tumori 2003;89:669-78.
43. Terry MB, Delgado-Cruzata L, Vin-Raviv N, Wu HC, Santella RM. DNA methylation in white blood cells: association with risk factors in epidemiologic studies. Epigenetics 2011;6:828-37.
44. Adalsteinsson BT, Gudnason H, Aspelund T et al. Heterogeneity in white blood cells has potential to confound DNA methylation measurements. PLoS One 2012;7:e46705.