Associations of food and nutrient intakes with serum IGF-I, IGF-II, IGFBP-3, TGF-b1, total SOD activity and sFas levels among middle-aged Japanese: the Japan Collaborative Cohort study.
No observational study has examined whether cancer-related biomarkers are associated with diet in Japanese. We therefore assessed sex-specific food and nutrient intakes according to serum IGF-I, IGF-II, IGFBP-3, TGF-b1, total SOD activity and sFas levels, under a cross-sectional study of 10,350 control subjects who answered the food frequency questionnaire in the first-wave nested case-control study within the Japan Collaborative Cohort Study. For both men and women, IGF-I levels were associated with higher intakes of milk, fruits, green tea, calcium and vitamin C. IGF-II levels were associated with higher intakes of milk, yogurt, fruits and miso soup, and lower intakes of rice, coffee and carbohydrate. IGFBP-3 levels were associated with higher intakes of milk, yogurt, fruits and vitamin C, and lower intakes of rice, energy, protein, carbohydrate, sodium and polyunsaturated fatty acids. TGF-b1 levels were associated with lower intakes of coffee intakes, and higher intakes of miso soup and sodium. Total SOD activity levels were associated with lower intakes of most nutrients other than energy, carbohydrate, iron, copper, manganese, retinol equivalents, vitamin A, B2, B12, niacin, folic acid, vitamin C and fish fat. sFas levels were associated with higher intakes of manganese and folic acids. The results of the present study should help to account for findings on those biomarkers regarding risks of cancer and other lifestyle-related diseases in terms of dietary confounding as causality.
Maruyama
Koutatsu
K
Department of Social and Environmental Medicine, Osaka University Graduate School of Medicine, Japan.
Iso
Hiroyasu
H
Ito
Yoshinori
Y
Watanabe
Yoshiyuki
Y
Inaba
Yutaka
Y
Tajima
Kazuo
K
Nakachi
Kei
K
Tamakoshi
Akiko
A
D000328:Adult; D000368:Aged; D015415:Biomarkers / Q000097:blood; D016022:Case-Control Studies; D015331:Cohort Studies; D003430:Cross-Sectional Studies; D004032:Diet; D019587:Dietary Supplements; D005260:Female; D006801:Humans; D018972:Insulin-Like Growth Factor Binding Protein 3 / Q000097:blood*; D007334:Insulin-Like Growth Factor I / Q000378:metabolism*; D007335:Insulin-Like Growth Factor II / Q000378:metabolism*; D007564:Japan; D008297:Male; D008875:Middle Aged; D011379:Prognosis; D013482:Superoxide Dismutase / Q000097:blood*; D000072105:Superoxide Dismutase-1; D053773:Transforming Growth Factor beta1 / Q000097:blood*; D019014:fas Receptor / Q000097:blood*
D015415:Biomarkers; C491901:FAS protein, human; D018972:Insulin-Like Growth Factor Binding Protein 3; C000606290:SOD1 protein, human; C508960:TGFB1 protein, human; D053773:Transforming Growth Factor beta1; D019014:fas Receptor; D007334:Insulin-Like Growth Factor I; D007335:Insulin-Like Growth Factor II; D013482:Superoxide Dismutase; D000072105:Superoxide Dismutase-1