Genotoxicity of compounds from cooked beef in repair-deficient CHO cells versus salmonella mutagenicity

L. H. Thompson, J. D. Tucker, S. A. Stewart, M. L. Christensen, E. P. Salazar, A. V. Carrano, J. S. Felton

Research output: Contribution to journalArticlepeer-review

161 Scopus citations


A series of compounds isolated on the basis of their muta-genicity in the Ames/Salmonella reversion assay were previously identified in fried beef and chemically synthesized for further evaluation. In this study three of these compounds were tested for genotoxic effects in the UV5 line of Chinese hamster ovary (CHO) cells, which is deficient in nucleotide excision repair. Both 2-amino-3, 4-dimethyl-imidazo]4, 5-f]quinoline (MeIQ) and 2-amino-3, 8-dimethyl-imidazo[4, 5-f]quinoxaline (MelQx) gave very weak responses for cell killing, hprt mutation induction and sister chromatid exchange. These effects occurred at doses in the range of 100-800 μg/ml ( ∼ solubility limit), and dose-dependent increases were not observed. Induction of chromosomal aberrations did not occur with either compound. Nor did either of these compounds produce differential cytotoxicity in normal CHO cells versus UV5 cells, indicating that potentially repairable DNA damage was not responsible for the observed cell killing. In contrast to these results, 2-amino-1-methyl-6-phenylimidazo[4, 5-b]pyridine (PhIP), which constitutes > 90% of the mass of bacterial mutagens in beef, was strongly positive for all endpoints at doses in the range 1-3 μg/ml. PhIP also gave marked differential cytotoxicity (ratio of 6) and cell survival curves that were strongly dependent on repair capacity. Because PhIP is 50- to 300-fold less mutagenic than MelQ and MelQx in Salmonella TA1538, these results point to major differences between the bacterial and mammalian assays in terms of the relative potency of these food-related compounds.

Original languageEnglish (US)
Pages (from-to)483-487
Number of pages5
Issue number6
StatePublished - Nov 1987
Externally publishedYes

ASJC Scopus subject areas

  • Statistics, Probability and Uncertainty
  • Applied Mathematics
  • Health, Toxicology and Mutagenesis
  • Toxicology
  • Genetics(clinical)
  • Genetics


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