Hemoglobin adducts as a measure of variations in exposure to acrylamide in food and comparison to questionnaire data

Anna C. Vikstrom, Margareta Warholm, Birgit Paulsson, Anna Axmon, Elisabet Wirfält, Margareta Tornqvist

Research output: Contribution to journalArticlepeer-review

Abstract

Measurement of haemoglobin (Hb) adducts from acrylamide (AA) and its metabolite glycidamide (GA) is a possibility to improve the exposure assessment in epidemiological studies of AA intake from food. This study aims to clarify the reliability of Hb-adduct measurement from individual single samples for exposure assessment of dietary AA intake. The intra-individual variations of AA- and GA-adduct levels measured in blood samples collected over 20 months from 13 non-smokers were up to 2-fold and 4-fold, respectively. The corresponding interindividual variations observed between 68 non-smokers, with large differences in AA intake, were 6-fold and 8-fold, respectively. The intra-individual variation of the GA-to-AA-adduct level ratio was up to 3-fold, compared to 11-fold between individuals (n = 68). From AA-adduct levels the average AA daily intake (n = 68) was calculated and compared to that estimated from dietary history methodology: 0.52 and 0.67 mu g/kg body weight and day, respectively. At an individual level the measures showed low association (Rs = 0.39). Conclusions: Dietary AA is the dominating source to measured AA-adduct levels and corresponding inter- and intra-individual variations in non-smokers. Measurements from single individual samples are useful for calculation of average M intake and its variation in a cohort, and for identification of individuals only from extreme intake groups. (C) 2012 Elsevier Ltd. All rights reserved.
Original languageEnglish
Pages (from-to)2531-2539
JournalFood and Chemical Toxicology
Volume50
Issue number7
DOIs
Publication statusPublished - 2012

Subject classification (UKÄ)

  • Pharmacology and Toxicology

Free keywords

  • Acrylamide
  • Dietary intake
  • Glycidamide
  • Dietary history methodology
  • Individual variation
  • Food frequency questionnaire

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