Literature DB >> 9169078

Regional hepatic CYP1A1 and CYP1A2 induction with 2,3,7,8-tetrachlorodibenzo-p-dioxin evaluated with a multicompartment geometric model of hepatic zonation.

M E Andersen1, L S Birnbaum, H A Barton, C R Eklund.   

Abstract

A physiologically based pharmacokinetic (PBPK) model for 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) was combined with a five-compartment geometric model of hepatic zonation to predict both total and regional induction of CYP450 proteins within the liver. Three literature studies on TCDD pharmacokinetics and protein induction in female rats were analyzed. In simulating low-dose behavior for mRNA in whole liver and, particularly, in representing immunohistochemical observations, the five-compartment model was more successful than conventional homogeneous one-compartment liver models. The five-compartment liver model was used with the affinity of TCDD for the Ah receptor (AhR) held constant across all the liver (Kb = 0.2 nM). The presumed affinities of the AhR-TCDD complex for TCDD responsive elements in the CYP1A1 (Kd1) and CYP1A2 (Kd2) genes varied between adjacent compartments by a factor of 3. This parameterization leads to predicted 81-fold differences in affinities between the centrilobular and the periportal regions. The affinities used for AhR-TCDD complex binding to TCDD response elements for CYP1A2 in compartment 3 (the midzonal area) ranged from 0.08 to 1.0 nM in the three studies modeled. For CYP1A1 the corresponding dissociation constant in compartment 3 varied from 0.6 to 2.0 nM. In each compartment, the Hill coefficient for induction had to be 4 or greater to match the immunohistochemical results. This multi-compartment liver model is consistent with data on protein and mRNA induction throughout the liver and on the regional distribution of these proteins. No previous model has incorporated regional variations in induction. The PBPK analysis based on the multicompartment liver model suggests that the low-dose behavior for hepatic CYP1A1/CYP1A2 induction by TCDD is highly non-linear.

Entities:  

Mesh:

Substances:

Year:  1997        PMID: 9169078     DOI: 10.1006/taap.1996.8067

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


  14 in total

Review 1.  Physiologically-based pharmacokinetic modeling for absorption, transport, metabolism and excretion.

Authors:  K Sandy Pang; Matthew R Durk
Journal:  J Pharmacokinet Pharmacodyn       Date:  2010-12-14       Impact factor: 2.745

2.  Complexities in understanding the nature of the dose-response for dioxins and related compounds.

Authors:  Nigel J Walker; Jae-Ho Yang
Journal:  Dose Response       Date:  2006-05-01       Impact factor: 2.658

3.  Computational experiments reveal plausible mechanisms for changing patterns of hepatic zonation of xenobiotic clearance and hepatotoxicity.

Authors:  Shahab Sheikh-Bahaei; Jacquelyn J Maher; C Anthony Hunt
Journal:  J Theor Biol       Date:  2010-06-10       Impact factor: 2.691

4.  A bistable switch underlying B-cell differentiation and its disruption by the environmental contaminant 2,3,7,8-tetrachlorodibenzo-p-dioxin.

Authors:  Sudin Bhattacharya; Rory B Conolly; Norbert E Kaminski; Russell S Thomas; Melvin E Andersen; Qiang Zhang
Journal:  Toxicol Sci       Date:  2010-02-01       Impact factor: 4.849

5.  Induction of oxidative stress responses by dioxin and other ligands of the aryl hydrocarbon receptor.

Authors:  John F Reichard; Timothy P Dalton; Howard G Shertzer; Alvaro Puga
Journal:  Dose Response       Date:  2006-05-01       Impact factor: 2.658

Review 6.  Recent advances in 2D and 3D in vitro systems using primary hepatocytes, alternative hepatocyte sources and non-parenchymal liver cells and their use in investigating mechanisms of hepatotoxicity, cell signaling and ADME.

Authors:  Patricio Godoy; Nicola J Hewitt; Ute Albrecht; Melvin E Andersen; Nariman Ansari; Sudin Bhattacharya; Johannes Georg Bode; Jennifer Bolleyn; Christoph Borner; Jan Böttger; Albert Braeuning; Robert A Budinsky; Britta Burkhardt; Neil R Cameron; Giovanni Camussi; Chong-Su Cho; Yun-Jaie Choi; J Craig Rowlands; Uta Dahmen; Georg Damm; Olaf Dirsch; María Teresa Donato; Jian Dong; Steven Dooley; Dirk Drasdo; Rowena Eakins; Karine Sá Ferreira; Valentina Fonsato; Joanna Fraczek; Rolf Gebhardt; Andrew Gibson; Matthias Glanemann; Chris E P Goldring; María José Gómez-Lechón; Geny M M Groothuis; Lena Gustavsson; Christelle Guyot; David Hallifax; Seddik Hammad; Adam Hayward; Dieter Häussinger; Claus Hellerbrand; Philip Hewitt; Stefan Hoehme; Hermann-Georg Holzhütter; J Brian Houston; Jens Hrach; Kiyomi Ito; Hartmut Jaeschke; Verena Keitel; Jens M Kelm; B Kevin Park; Claus Kordes; Gerd A Kullak-Ublick; Edward L LeCluyse; Peng Lu; Jennifer Luebke-Wheeler; Anna Lutz; Daniel J Maltman; Madlen Matz-Soja; Patrick McMullen; Irmgard Merfort; Simon Messner; Christoph Meyer; Jessica Mwinyi; Dean J Naisbitt; Andreas K Nussler; Peter Olinga; Francesco Pampaloni; Jingbo Pi; Linda Pluta; Stefan A Przyborski; Anup Ramachandran; Vera Rogiers; Cliff Rowe; Celine Schelcher; Kathrin Schmich; Michael Schwarz; Bijay Singh; Ernst H K Stelzer; Bruno Stieger; Regina Stöber; Yuichi Sugiyama; Ciro Tetta; Wolfgang E Thasler; Tamara Vanhaecke; Mathieu Vinken; Thomas S Weiss; Agata Widera; Courtney G Woods; Jinghai James Xu; Kathy M Yarborough; Jan G Hengstler
Journal:  Arch Toxicol       Date:  2013-08-23       Impact factor: 5.153

7.  A mechanistic modeling framework for predicting metabolic interactions in complex mixtures.

Authors:  Shu Cheng; Frederic Y Bois
Journal:  Environ Health Perspect       Date:  2011-08-11       Impact factor: 9.031

8.  Bayesian Analysis of a Lipid-Based Physiologically Based Toxicokinetic Model for a Mixture of PCBs in Rats.

Authors:  Alan F Sasso; Panos G Georgopoulos; Sastry S Isukapalli; Kannan Krishnan
Journal:  J Toxicol       Date:  2012-01-19

Review 9.  Molecular circuits, biological switches, and nonlinear dose-response relationships.

Authors:  Melvin E Andersen; Raymond S H Yang; C Tenley French; Laura S Chubb; James E Dennison
Journal:  Environ Health Perspect       Date:  2002-12       Impact factor: 9.031

10.  Use of a physiologically based pharmacokinetic model for rats to study the influence of body fat mass and induction of CYP1A2 on the pharmacokinetics of TCDD.

Authors:  Claude Emond; Linda S Birnbaum; Michael J DeVito
Journal:  Environ Health Perspect       Date:  2006-09       Impact factor: 9.031

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.