Literature DB >> 8658509

Modeling the number and size of hepatic focal lesions following exposure to 2,3,7,8-TCDD.

C J Portier1, C D Sherman, M Kohn, L Edler, A Kopp-Schneider, R M Maronpot, G Lucier.   

Abstract

Data on the size and number of placental glutathione S-transferase-positive (PGST+) foci were collected from a two-stage hepatocarcinogenesis model in female Sprague-Dawley rats. the study consisted of multiple 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD)-exposed dose groups including both diethylnitrosomine (DEN)-initiated and uninitiated animals. Groups were observed after 15 or 31 weeks of TCDD exposure. The parameters in the first half of a two-stage mathematical model of carcinogenesis were estimated from these data. If the model is valid, the results suggest that TCDD stimulates the production of PGST+ foci and promotes the growth of PGST+ foci. This finding suggests a complicated mechanism for TCDD-induced production of Hepatic foci that we refer to as activation, labeling TCDD as an activator. The analysis also indicates that there is an interaction between DEN and TCDD which results in dose-related formation of initiated cells throughout the study period. Best-fitting curves (using maximum likelihood methods) for TCDD-induced activation and promotion reached saturation levels at low doses of TCDD. In summary, the model fit the data well, but leads to an interpretation of the data which either questions the validity of the model or implies that our understanding of the effects of TCDD and DEN is incomplete.

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Year:  1996        PMID: 8658509     DOI: 10.1006/taap.1996.0093

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


  4 in total

1.  Analysis of nonlinear regression models: a cautionary note.

Authors:  Shyamal D Peddada; Joseph K Haseman
Journal:  Dose Response       Date:  2006-05-01       Impact factor: 2.658

2.  Uncertainties in biologically-based modeling of formaldehyde-induced respiratory cancer risk: identification of key issues.

Authors:  Ravi P Subramaniam; Chao Chen; Kenny S Crump; Danielle Devoney; John F Fox; Christopher J Portier; Paul M Schlosser; Chad M Thompson; Paul White
Journal:  Risk Anal       Date:  2008-06-28       Impact factor: 4.000

Review 3.  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

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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