Literature DB >> 9344896

Hepatic foci in rats after diethylnitrosamine initiation and 2,3,7,8-tetrachlorodibenzo-p-dioxin promotion: evaluation of a quantitative two-cell model and of CYP 1A1/1A2 as a dosimeter.

R B Conolly1, M E Andersen.   

Abstract

2,3,7,8-Tetrachlorodibenzo-p-dioxin (TCDD) is a potent hepatic tumor promoter in female rats. We used a quantitative, stochastic initiation-promotion model based on R. B. Conolly and J. S. Kimbell (Toxicol. Appl. Pharmacol. 124, 284-295, 1994) to analyze initiation-promotion results from a previously published study (H. C. Pitot et al., Carcinogenesis 8, 1491-1499, 1987) within the context of a negative selection model of tumor promotion. In this model, two types of initiated cells (called A and B cells) are produced by DEN initiation. Visually excellent correspondence between model predictions and data (i.e., foci/cm3 liver and percentage of liver occupied by foci) are obtained when TCDD is described as having dose-responsive effects on division and death (apoptotic) rates of these two cell types. For A cells, both the division and the death rates increase while the difference between division and apoptotic rates decreases. For B cells, the difference between division and apoptotic rates increases, primarily due to a decrease in the apoptotic rate. We also linked these alterations in cell kinetics to a pharmacokinetic model for TCDD incorporating a five subcompartment model of the liver acinus with induction of CYP1A1 and 1A2 genes in the subcompartments. Alterations in A cell kinetics correlate with effects of TCDD in the region most sensitive to induction (subcompartment 5-centrilobular region); B cell dynamics correlate with induction in subcompartments 3-5 (centrilobular and mid-zonal regions). In summary, these modeling exercises show that (1) the two-cell model, without presuming effects of TCDD on the mutation rate of normal hepatocytes, reproduces the data of Pitot et al. (1987) and (2) induction of CYP1A1/1A2 in different regions of the hepatic acinus can be used as a general correlate of these presumed changes in cell growth kinetics. Copyright 1997 Academic Press.

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Year:  1997        PMID: 9344896     DOI: 10.1006/taap.1997.8248

Source DB:  PubMed          Journal:  Toxicol Appl Pharmacol        ISSN: 0041-008X            Impact factor:   4.219


  4 in total

Review 1.  Association of HLA-B*5801 allele and allopurinol-induced Stevens Johnson syndrome and toxic epidermal necrolysis: a systematic review and meta-analysis.

Authors:  Ratchadaporn Somkrua; Elizabeth E Eickman; Surasak Saokaew; Manupat Lohitnavy; Nathorn Chaiyakunapruk
Journal:  BMC Med Genet       Date:  2011-09-09       Impact factor: 2.103

Review 2.  The use of biochemical and molecular parameters to estimate dose-response relationships at low levels of exposure.

Authors:  M E Andersen; H A Barton
Journal:  Environ Health Perspect       Date:  1998-02       Impact factor: 9.031

3.  Quantitative mechanistically based dose-response modeling with endocrine-active compounds.

Authors:  M E Andersen; R B Conolly; E M Faustman; R J Kavlock; C J Portier; D M Sheehan; P J Wier; L Ziese
Journal:  Environ Health Perspect       Date:  1999-08       Impact factor: 9.031

Review 4.  What role for biologically based dose-response models in estimating low-dose risk?

Authors:  Kenny S Crump; Chao Chen; Weihsueh A Chiu; Thomas A Louis; Christopher J Portier; Ravi P Subramaniam; Paul D White
Journal:  Environ Health Perspect       Date:  2010-01-04       Impact factor: 9.031

  4 in total

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