Literature DB >> 8259447

Effects of the mechanism of receptor-mediated gene expression on the shape of the dose-response curve.

M C Kohn1, C J Portier.   

Abstract

A mathematical model of receptor-mediated gene expression that includes receptor binding of natural and xenobiotic ligands, protein synthesis and degradation, and metabolism of the xenobiotic ligand was created to identify the determinants of the shape of the dose-response profile. Values of the model's parameters were varied to reflect alternative mechanisms of expression of the protein. These assumptions had dramatic effects on the computed response to a bolus dose of the xenobiotic ligand. If all processes in the model exhibit hyperbolic kinetics, the dose-response curves can appear sigmoidal but actually be linear with a positive slope at low doses. The slope of the curve only approached zero at low dose, indicative of a threshold for response, if binding of the xenobiotic ligand to the receptor exhibited positive cooperativity (ligand binding at one site increases the affinity for ligand at another binding site on the receptor). Positive cooperativity in the rate-limiting step of protein synthesis produced dose-response curves which were "U-shaped" at low doses, also indicative of a threshold. Positive cooperativity in the metabolism of the xenobiotic ligand produced dose-response curves that increased more rapidly than linearly with increasing dose. The model illustrates the fact that response cannot be predicted from qualitative mechanistic arguments alone; any assessment of risk to health from xenobiotic chemicals must be based on a detailed quantitative examination of the kinetic behavior of each chemical species individually.

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Year:  1993        PMID: 8259447     DOI: 10.1111/j.1539-6924.1993.tb00016.x

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  5 in total

1.  Dose-response modeling of high-throughput screening data.

Authors:  Fred Parham; Chris Austin; Noel Southall; Ruili Huang; Raymond Tice; Christopher Portier
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2.  Identification of nonmonotonic concentration-responses in Tox21 high-throughput screening estrogen receptor assays.

Authors:  Zhenzhen Shi; Menghang Xia; Shuo Xiao; Qiang Zhang
Journal:  Toxicol Appl Pharmacol       Date:  2022-08-19       Impact factor: 4.460

Review 3.  Implications for risk assessment of suggested nongenotoxic mechanisms of chemical carcinogenesis.

Authors:  R L Melnick; M C Kohn; C J Portier
Journal:  Environ Health Perspect       Date:  1996-03       Impact factor: 9.031

4.  No threshold dose for estradiol-induced sex reversal of turtle embryos: how little is too much?

Authors:  D M Sheehan; E Willingham; D Gaylor; J M Bergeron; D Crews
Journal:  Environ Health Perspect       Date:  1999-02       Impact factor: 9.031

5.  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

  5 in total

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