OBJECTIVE: To examine the coherence of estimated intakes of acrylamide (AA) from foods, with hemoglobin (Hb) AA adduct levels, an objective marker of environmental AA exposure. DESIGN: A cross-sectional study. SETTING: The Malmö Diet and Cancer study, a large population-based prospective cohort (n=28 098) in the south of Sweden. SUBJECTS: A sample of non-smoking (n=70) and smoking (n=72) women and men selected to obtain large variation in Hb AA adducts. METHODS: Self-reported data on the usual consumption of foods were combined with published data on the AA content in Swedish foods. The Hb AA adduct levels were determined by a modified Edman degradation method. Linear regression and correlation analysis examined associations between estimated AA intakes, and Hb AA adducts. RESULTS: In randomly selected individuals (n=40), the estimated median AA intake was 28 mug per day. In linear regression models, adjusting for sex, significant associations were seen in non-smokers between Hb AA adducts and estimated AA from foods (P=0.006). In smokers both AA from foods (P=0.006) and the calculated amount of tobacco consumed (P=0.003) were significantly associated with Hb AA adducts. Positive partial correlations between dietary AA estimates and Hb AA adducts were seen in smoking men (r=0.37) and women (r=0.59), and in non-smoking men (r=0.60), but not in non-smoking women. CONCLUSIONS: This study suggests that both diet and tobacco are important sources of the environmental AA exposure, although the lack of correlations in non-smoking women cast doubt on the validity of dietary AA intake estimates used in cancer epidemiology, or suggest that unrecognized factors may influence the internal dose measure of AA exposure.
OBJECTIVE: To examine the coherence of estimated intakes of acrylamide (AA) from foods, with hemoglobin (Hb) AA adduct levels, an objective marker of environmental AA exposure. DESIGN: A cross-sectional study. SETTING: The Malmö Diet and Cancer study, a large population-based prospective cohort (n=28 098) in the south of Sweden. SUBJECTS: A sample of non-smoking (n=70) and smoking (n=72) women and men selected to obtain large variation in Hb AA adducts. METHODS: Self-reported data on the usual consumption of foods were combined with published data on the AA content in Swedish foods. The Hb AA adduct levels were determined by a modified Edman degradation method. Linear regression and correlation analysis examined associations between estimated AA intakes, and Hb AA adducts. RESULTS: In randomly selected individuals (n=40), the estimated median AA intake was 28 mug per day. In linear regression models, adjusting for sex, significant associations were seen in non-smokers between Hb AA adducts and estimated AA from foods (P=0.006). In smokers both AA from foods (P=0.006) and the calculated amount of tobacco consumed (P=0.003) were significantly associated with Hb AA adducts. Positive partial correlations between dietary AA estimates and Hb AA adducts were seen in smoking men (r=0.37) and women (r=0.59), and in non-smoking men (r=0.60), but not in non-smoking women. CONCLUSIONS: This study suggests that both diet and tobacco are important sources of the environmental AA exposure, although the lack of correlations in non-smoking women cast doubt on the validity of dietary AA intake estimates used in cancer epidemiology, or suggest that unrecognized factors may influence the internal dose measure of AA exposure.
Authors: Jing Xie; Kathryn L Terry; Elizabeth M Poole; Kathryn M Wilson; Bernard A Rosner; Walter C Willett; Hubert W Vesper; Shelley S Tworoger Journal: Cancer Epidemiol Biomarkers Prev Date: 2013-02-15 Impact factor: 4.254
Authors: Mireia Obón-Santacana; Leila Lujan-Barroso; Heinz Freisling; Claire Cadeau; Guy Fagherazzi; Marie-Christine Boutron-Ruault; Rudolf Kaaks; Renée T Fortner; Heiner Boeing; J Ramón Quirós; Esther Molina-Montes; Saioa Chamosa; José María Huerta Castaño; Eva Ardanaz; Kay-Tee Khaw; Nick Wareham; Tim Key; Antonia Trichopoulou; Pagona Lagiou; Androniki Naska; Domenico Palli; Sara Grioni; Rosario Tumino; Paolo Vineis; Maria Santucci De Magistris; H B Bueno-de-Mesquita; Petra H Peeters; Maria Wennberg; Ingvar A Bergdahl; Hubert Vesper; Elio Riboli; Eric J Duell Journal: Eur J Nutr Date: 2016-02-05 Impact factor: 5.614
Authors: Linda S Von Tungeln; Daniel R Doerge; Gonçalo Gamboa da Costa; M Matilde Marques; William M Witt; Igor Koturbash; Igor P Pogribny; Frederick A Beland Journal: Int J Cancer Date: 2012-03-28 Impact factor: 7.396
Authors: Zhao-Min Liu; Lap Ah Tse; Suzanne C Ho; Suyang Wu; Bailing Chen; Dicken Chan; Samuel Yeung-Shan Wong Journal: J Cancer Res Clin Oncol Date: 2017-07-19 Impact factor: 4.553
Authors: Kathryn M Wilson; Katarina Bälter; Hans-Olov Adami; Henrik Grönberg; Anna C Vikström; Birgit Paulsson; Margareta Törnqvist; Lorelei A Mucci Journal: Int J Cancer Date: 2009-05-15 Impact factor: 7.396
Authors: Kathryn M Wilson; Hubert W Vesper; Paula Tocco; Laura Sampson; Johan Rosén; Karl-Erik Hellenäs; Margareta Törnqvist; Walter C Willett Journal: Cancer Causes Control Date: 2008-10-15 Impact factor: 2.506
Authors: Hubert W Vesper; Samuel P Caudill; John D Osterloh; Tunde Meyers; Deanna Scott; Gary L Myers Journal: Environ Health Perspect Date: 2010-02 Impact factor: 9.031
Authors: Janneke G Hogervorst; Renee T Fortner; Lorelei A Mucci; Shelley S Tworoger; A Heather Eliassen; Susan E Hankinson; Kathryn M Wilson Journal: Cancer Epidemiol Biomarkers Prev Date: 2013-08-27 Impact factor: 4.254