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M C Kohn

Publications and source records attributed to M C Kohn.

At least 37 records · Page 2Linked to original sources

A mechanistic model of effects of dioxin on thyroid hormones in the rat.

A physiological dosimetric model of the disposition of TCDD in the rat (Kohn et al., Toxicol. Appl. Pharmacol. 120, 138-154, 1993) was extended to include effects of dioxin on serum concentrations of thyroid hormones in the rat. The extended model included distribution of blood among major vessels and tissue capillary beds and resorption of TCDD released into the gut lumen from the liver by cell lysis consequent to cytotoxicity. TCDD metabolism was represented by Hill kinetics. Parameter values were estimated by fitting time-course data for a single oral subcutaneous injection of TCDD and dose-response data for biweekly oral dosing. The extended model included new compartments for the thyroid and thyroxine-sensitive tissues (e.g., pituitary, kidney, and brown fat), secretion and tissue uptake of thyroid hormones, binding of 3,5,3'-triiodothyronine (T3) and 3,5,3',5'-tetraiodothyronine (thyroxine, T4) to proteins in blood and tissues, deiodination of iodothyronines, and glucuronidation of T4 by the hepatic UDP-glucuronosyltransferase (UGT) activity induced by TCDD. Secretion of thyroid hormones was modeled as regulated by thyrotropin (TSH), whose secretion was modeled as regulated by the hypothalamic factors thyrotropin releasing hormone and somatostatin. Release of the hypothalamic factors was modeled as under feedback control by the blood T4 level. Induction of UGT was modeled as stimulated by the Ah receptor-TCDD complex. The extended model fit the observed dose-response of P450 isozymes and Ah and estrogen receptors following repeated oral doses with comparable accuracy as the earlier model. The fit to liver and fat TCDD levels following single and repeated oral and subcutaneous doses was improved over the earlier model. The revised model's predicted liver TCDD concentrations at very low doses were verified experimentally. The model reproduced the responses observed for blood T3, T4, and TSH after 31 weeks of biweekly oral dosing of rats with TCDD. The model also predicted responses of UGT mRNA and UGT enzymatic activity comparable to those observed in TCDD-treated rats in experiments whose data were not used in constructing the model. Calculated increases in blood TSH levels are consistent with prolonged stimulation of the thyroid and may represent an early stage in the induction of thyroid tumors identified in previous two-year bioassays. Thus, increases in UGT activity may be useful as a biomarker for tumorigenic changes in hormone levels subsequent to TCDD exposure.

Adipose Tissue↗

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

Nongenotoxic carcinogens are chemicals that induce neoplasia without it or its metabolites reacting directly with DNA. Chemicals classified as nongenotoxic carcinogens have been assumed to act as tumor promoters and exhibit threshold tumor dose-responses. This is in contrast to genotoxic carcinogens that are DNA reactive, act as tumor initiators, and are assumed to exhibit proportional responses at low doses. In this perspective, we examine the basic tenets and utility of this classification for evaluating human cancer risk. Two classes of so-called nongenotoxic chemical carcinogens selected for review include cytotoxic agents that induce regenerative hyperplasia (trihalomethanes and inducers of alpha 2-microglobulin nephropathy) and agents that act via receptor-mediated mechanisms (peroxisome proliferators and dioxin). Major conclusions of this review include: a) many chemicals considered to be nongenotoxic carcinogens actually possess certain genotoxic activities, and limiting evaluations of carcinogenicity to their nongenotoxic effects can be misleading; b) some nongenotoxic activities may cause oxidative DNA damage and thereby initiate carcinogenesis; c) although cell replication is involved in tumor development, cytotoxicity and mitogenesis do not reliably predict carcinogenesis; d) a threshold tumor response is not an inevitable result of a receptor-mediated mechanism. There are insufficient data on the chemicals reviewed here to justify treating their carcinogenic effects in animals as irrelevant for evaluating human risk. Research findings that characterize the multiple mechanisms of chemical carcinogenesis should be used quantitatively to clarify human dose-response relationships, leading to improved scientifically based public health decisions. Excessive reliance on oversimplified classification schemes that do not consider all potential contributing effects of a toxicant can obscure the actual causal relationships between exposure and cancer outcome.

Animals↗

Biochemical mechanisms and cancer risk assessment models for dioxin.

Biologically realistic mechanistic models of carcinogenesis by TCDD are composed of equations representing biochemical events leading to altered expression of proteins involved in the response or equations representing the kinetics of proliferation of clones of mutant cells. A biochemically augmented physiological dosimetry model reproduces the observed altered expression of liver proteins in female rats exposed to dioxin. The model suggests that oxidation of estradiol to DNA reactive quinones or semiquinones by CYP1A2 protein induced by TCDD may contribute to an increased mutational rate. It suggests that TCDD-stimulated production of a peptide ligand of the epidermal growth factor (EGF) receptor and subsequent activation of the receptor's tyrosine kinase activity may increase the rate of proliferation of susceptible cells. These calculated quantities can serve as indices of toxicity and can be used to predict tumor incidence as a function of exposure.

Animals↗

Achieving credibility in risk assessment models.

Validation of a mathematical model requires demonstrating that a model is free of mathematical errors (internal consistency), is sensitive to large but not small errors or uncertainties in parameter values (verifiability and robustness), reproduces experimental observations on the system being modeled (external consistency), and leads to testable predictions of the system's biological properties. To be heuristically valid, a model also must be a realistic representation of the actual biological system. Only then would the model's predictions be credible to the wider community of biological scientists who would use the model for risk assessment and dose or species extrapolation. Owing to incomplete data, most current dosimetric models are insufficiently realistic to pass this test of credibility. Enhancements to such models that would help achieve credibility are presented, and suggestions are offered for institutionalizing realistic modeling practices in risk assessment.

Animals↗

Mechanistic data indicate that 1,3-butadiene is a human carcinogen.

A review of the epidemiological and mechanistic data on 1,3-butadiene indicates that this chemical is a human carcinogen for which the mouse is an appropriate model for assessing human cancer risk. Butadiene is carcinogenic at multiple organ sites in laboratory animals, including the induction of lymphomas in mice, while epidemiological studies have consistently found associations between occupational exposure to butadiene and increased mortality from lymphatic and hematopoietic cancers. Activated oncogenes and inactivated tumor suppressor genes in butadiene-induced tumors in mice are analogous to genetic alterations frequently observed in human cancers. Butadiene is metabolized to mutagenic and carcinogenic epoxides in all mammalian species studied, including humans. These metabolites form N7-alkylguanine adducts which have been detected in liver DNA of mice exposed to butadiene and in urine of exposed workers. Increases in hprt mutations were observed in lymphocytes from mice exposed to butadiene and in occupationally exposed humans. The mutational spectra for butadiene and its epoxide metabolites at the hprt locus in mouse lymphocytes are similar to the mutational spectrum of ethylene oxide; all of these chemicals exhibit a high percentage of frameshift mutations. Ethylene oxide, an alkylating agent that also forms an N7-alkylguanine adduct, was recently classified by the International Agency for Research on Cancer as a human carcinogen. Based on these data, we suggest that cancer induction by ethylene oxide and butadiene involve similar molecular mechanisms.

Animals↗

Dioxin-responsive genes: examination of dose-response relationships using quantitative reverse transcriptase-polymerase chain reaction.

The purpose of the present experiments was to examine dose-response relationships for induction of hepatic mRNA following a single administration of 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) to rats. The induction of cytochrome P450-1A1 (CYP1A1) mRNA is compared to other "dioxin-responsive" genes including UDP-glucuronosyltransferase I, plasminogen activator inhibitor 2, and transforming growth factor alpha using a sensitive reverse transcriptase-polymerase chain reaction-based method. Sample-to-sample variability in amplification is a concern in using polymerase chain reaction to quantitate biological responses. However, in the present study recombinant RNA templates were synthesized to use as internal standards in both the reverse transcription and the polymerase chain reaction steps. The induction of CYP1A1 mRNA was extremely sensitive to TCDD treatment with increases observed at doses as low as 1 ng/kg body weight. The induction of CYP1A1 mRNA correlated highly (R2 > 0.90) with an increase in ethoxyresorufin-o-deethylase activity, a CYP1A1-associated enzyme activity. However, induction of CYP1A1 mRNA levels was detected at lower TCDD doses than was ethoxyresorufin-o-deethylase activity, reflecting the greater sensitivity of the reverse transcription-polymerase chain reaction approach to detect transcriptional activation of the CYP1A1 gene. UDP-glucuronosyltransferase I mRNA was increased over control (5-fold) but required 1000-times higher TCDD doses (1 microgram/kg) to result in a significant increase than did CYP1A1. Plasminogen activator inhibitor 2 and transforming growth factor alpha mRNA, both previously shown to be induced by TCDD in human keratinocytes, were not increased in rat liver. Hence, these studies reaffirm that TCDD acts through classical receptor mechanisms with gene-to-gene differences in responsiveness. The reverse transcription-polymerase chain reaction method developed to measure mRNA for dioxin-responsive genes in rat liver will allow for measuring multigene and tissue responses to TCDD and other xenobiotics with high sensitivity, reproducibility, and adaptability and should increase our understanding of various dose-response relationships.

Animals↗

The importance of biological realism in dioxin risk assessment models.

Mechanistic mathematical models of hepatocarcinogenesis in the female rat were constructed to investigate possible relationships among the Ah, estrogen, and EGF receptors in TCDD hepatocarcinogenicity. Each model generates dose-response curves for the expression of biomarker liver proteins CYP1A1, CYP1A2, and residual plasma membrane EGF receptor consequent to exposure to TCDD. The shapes of the response curves were strongly dependent on the assumed mechanisms of constitutive expression of these proteins. Assuming a constant level of the hepatic Ah receptor, a sigmoidal dose-response of hepatic CYP1A1 to total liver TCDD was computed. However, inclusion of induction of the Ah receptor by TCDD in a physiologically realistic dosimetric model produced a linear low-dose response of CYP1A1. This behavior was computed to arise from the net effect of sublinear response of CYP1A1 mRNA to the concentration of the Ah-TCDD complex and supralinear response of the protein concentration to the mRNA level, illustrating the importance of biological realism in dose-response modeling. The dosimetric model also computed effects of TCDD on the hepatic estradiol concentration and consequent effects on the binding capacity of the EGF receptor and suggests plausible mechanisms for tumor promotion by TCDD. Setting circulating estradiol levels in the model to values typical of the male rat indicated possible sources of the differences in the responses of the EGF receptor and in development of tumors in the two sexes.

Animals↗

A mechanistic model of effects of dioxin on gene expression in the rat liver.

Improved methods for estimating the shape of the response curve for effects of exposure to 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) are needed in order to evaluate possible adverse health effects of TCDD. A mathematical model has been constructed to describe TCDD-mediated alterations in hepatic proteins in the rat. In this model it was assumed that TCDD mediates increases in the liver concentration of transforming growth factor-alpha (TGF-alpha) by a mechanism which requires the aryl hydrocarbon (Ah) receptor. TGF-alpha subsequently binds to the epidermal growth factor (EGF) receptor, a process which is known to cause internalization of this receptor in hepatocytes. This action is thought to be an early event in the generation of a mitogenic signal. Because TCDD decreases binding of EGF in the livers of intact female rats but not in ovariectomized rats, this effect was further assumed to be dependent on estrogen action. The model postulates Ah receptor-dependent effects on the concentration of cytochrome P450 1A2 (CYP1A2), which is involved in the metabolism of estradiol, and on the concentration of the estrogen receptor. The model also incorporates information on induction of cytochrome P450 1A1 (CYP1A1) by TCDD. The biochemical response curves for all these proteins were hyperbolic (Hill exponents in the equations for their expression were found to be 1), indicating a proportional relationship between target tissue dose and protein concentration at low administered doses of TCDD. The model successfully reproduced the observed tissue distribution of TCDD, the concentrations of CYP1A1 and CYP1A2, and the effects of TCDD on the Ah, estrogen, and EGF receptors over a wide dose range.

Animals↗

Species differences in the production and clearance of 1,3-butadiene metabolites: a mechanistic model indicates predominantly physiological, not biochemical, control.

Inhaled 1,3-butadiene, a monomer used in the production of synthetic rubber and other resins, is metabolized to mutagenic and carcinogenic epoxide intermediates. A physiologically based pharmacokinetic model of the uptake, tissue distribution, and metabolism of butadiene was constructed to determine if the biochemical kinetic constants obtained from in vitro studies are consistent with the observed in vivo uptake and metabolism. The model includes compartments for lung, blood, fat, liver, other rapidly perfused tissues ('viscera') and slowly perfused tissues. Metabolism of butadiene was assumed to occur in viscera in addition to lung and liver. Enzymatic reaction rate equations for the formation of 1,2-epoxy-3-butene, for hydrolysis of this epoxide, and for its conjugation with glutathione were also included. Physiological and biochemical parameters for the mouse, rat and human were obtained from the literature; they were not adjusted to produce a fit to experimental data. The model was used to test the hypothesis that differences in uptake and clearance of butadiene by the three species are due to differences in the activities of the metabolizing enzymes. The model reproduces whole-body observations for the mouse and rat. It predicts that inhalation uptake of butadiene and formation and retention of epoxybutene are controlled to a much greater extent by physiological parameters than by biochemical parameters and that storage in the fat represents a significant fraction of the retained butadiene. Accumulation of epoxybutene in the blood is predicted to be higher in mice than in rats or humans, but accumulation of the epoxide intermediate in the liver is predicted to be highest in humans. The epoxide tissue concentrations predicted by the model do not, by themselves, correlate with tumor incidence in mice and rats, indicating that other factors are crucial for carcinogenesis induced by butadiene.

Adsorption↗

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

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.

Dose-Response Relationship, Drug↗

Propagation of information in MetaNet graph models.

Information flow in metabolic networks has been studied with a graph model which represents the biochemical transformations occurring in the system under investigation. The "signal strength", an algebraic expression which estimates the probability that an intermediate metabolite is bound to a given enzyme, has been used to derive the "signal transmittance", the fraction of the informational signal at one intermediate that reaches another intermediate. The transmittance has been used to derive the "response ratio", the sensitivity of the rate of change of information at one metabolite consequent to a perturbation at another metabolite. Because the graphical representation corresponds to the biochemical events presumed to occur in the network, these quantities can be used to design experiments to confirm or falsify the hypotheses underlying the model and aid in understanding the regulatory properties of the system. The technique is illustrated by an example model, and its predictions are shown to be sensitive to modest structural changes in the network.

Animals↗

Identification of regulatory properties of metabolic networks by graph theoretical modeling.

An earlier graph theoretical model of metabolic and gene-expression networks has been modified and extended to include the effect of electrical potentials on binding constants, representation of uncatalyzed processes, and treatment of parallel reactions catalyzed by a single enzyme. Formal operations on the graph, which are facilitated by a set of standardized guidelines, identify the feedback signals in the network and rank them according to their influence. The technique was applied to a model of glycolysis in ascites tumor cells in the absence and presence of 12.5 mM exogenous glucose. Feedback regulation was widely distributed and mostly due to binding of adenine nucleotide cofactors to the enzymes of the network. The major changes in feedback regulation on adding glucose is the relief of inhibition of hexokinase and phosphofructokinase and the activation of pyruvate kinase. We conclude that regulation of tumor cell glycolysis is not restricted to hexokinase or to (Na+,K+)-ATPase as was previously suggested by others.

Animals↗

Kinetic analysis of monocarboxylate uptake into perfused rat hearts.

To test a prediction that trans-sarcolemmal lactate movement is carrier mediated, 14C-labelled lactate or pyruvate and 3H-mannitol were transiently infused (2 min) into aerobically perfused rat hearts that had been depleted of intracellular monocarboxylates by a 30 min pre-perfusion in the absence of substrates. Uptake was calculated from the difference between the level of 14C-substrate predicted from the extracellular distribution of 3H-mannitol and the actual level (corrected for 14CO2 contamination) measured in successive 20 s samples of effluent perfusate. Computer optimization analysis of the initial influx revealed that monocarboxylate transport is not simply a question of diffusion. On the contrary, saturation and cross-inhibition (Ki, lactate 0.14 +/- 0.04 mM; Ki, pyruvate 2.2 +/- 0.4 mM; Ki, acetoacetate 6.2 +/- 0.9 mM; and Ki, 3-hydroxybutyrate 20 +/- 6.0 mM) suggest that trans-sarcolemmal monocarboxylate movements are reversibly mediated by a high activity (Vmax 34 +/- 7 mumol/min/g wet wt), low affinity lactate (Km 6 +/- 2 mM) permease. Further, studies into the effects of pH indicate that transport requires prior protonation of the carrier (pKa 7.1) and that lactate movements are driven by the displacement of the trans-sarcolemmal lactate and proton gradient from the Donnan equilibrium.

Animals↗

Monocarboxylate-uptake kinetics in perfused rat heart.

While there is considerable evidence to suggest that lactate and pyruvate transport across the cell membrane is controlled, virtually nothing is known about the mechanisms. To test a prediction that sarcolemmal monocarboxylate transport is mediated by a specific carrier, we have examined the kinetics of pyruvate and lactate uptake into aerobically perfused rat hearts. In preparations depleted of intracellular lactate and pyruvate by a 30-min pre-perfusion in the absence of substrates, various concentrations of [14C]lactate or pyruvate (0.02 Ci/mole), together with [3H]mannitol (50 nCi/ml), were transiently (2 min) infused into the mainstream perfusate immediately above the heart. Uptake was calculated from the difference between the level of 14C-labeled substrate predicted from the extracellular distribution of [3H]mannitol and the actual level (corrected for 14CO2 contamination) measured in successive 20-sec samples of effluent perfusate. Computer optimization analysis of the initially rapid (first 60 sec) uptake rates revealed that monocarboxylate transport is not simply a question of diffusion. On the contrary, the observation of typical saturation kinetics (Vmax 7.7-8.4 mumoles/min per g wet wt.) and cross-inhibition (Ki pyr, 2.3 +/- 0.5 mM; Ki lac, 0.16 +/- 0.02 mM) suggest that transsarcolemmal movement of monocarboxylate may be mediated by a high-affinity lactate (km 3.9 +/- 0.9 mM), low-affinity pyruvate (Km 8.6 +/- 1.1 mM), translocase.

Animals↗