No description available.

No description available.

No description available.

Hepatotoxicity is a serious adverse health effect caused by drugs and other chemical toxins generally detected in the later stages of drug development or in whole animal studies. Thus, development of screening approaches available for earlier identification of hepatotoxic molecules is necessary. A novel in vitro- in silico test system for the evaluation of the molecular mechanisms of xenobiotic toxicity in primary hepatocyte systems is presented here. It is well established that hepatocytes in vitro are most representative of hepatotoxicity in vivo, and are most useful for the determination of xenobiotic hepatotoxicity mechanisms at the molecular and cellular level. There is an on-going interest in Quantitative Structure-Activity Relationships (QSAR) in toxicology, as it can identify correlations between chemical structure and biological activity. QSAR can be used to evaluate the effects of metabolism and toxicity as many physicochemical descriptors reflect simple molecular properties that can provide insight into the physicochemical nature of the activity under consideration. QSARs were determined for hepatotoxicity of halobenzenes, p-benzoquinones, α,β-unsaturated carbonyl compounds and nitroaromatics towards isolated hepatocytes. A molecular link was established for their proposed toxicity pathways. For example oxidative activation was linked to EHOMO (energy of the highest occupied molecular orbital) values and hydrophobicity (log P) of the chemicals, while reductive activation was linked with ELUMO (energy of the lowest molecular orbital) values and log P. Such relationships may thus be useful for predicting toxicity of other chemicals of the same mechanism of toxicity. Due to the complexity involved in the phenomena of hepatotoxicity, unravelling of structure-hepatotoxicity relationships is a complicated task. A conceptual framework for QSAR modeling is proposed that involves recognition of molecular initiating events as potential endpoints to improve the prediction potential of QSAR models. Acute toxicity of reactive chemicals could be based on an initial reaction with biomolecules, thus the theory of covalent binding reactivity was used to test this concept. Reactivity assays with thiol and amine surrogate nucleophiles were used to determine susceptibility to toxicity. The derived QSAR expressions suggested that covalent binding reactivity is a good correlate to hepatotoxicity, however only if electrophilicity was the main mechanism of toxicity.

Hepatotoxicity is a serious adverse health effect caused by drugs and other chemical toxins generally detected in the later stages of drug development or in whole animal studies. Thus, development of screening approaches available for earlier identification of hepatotoxic molecules is necessary. A novel in vitro- in silico test system for the evaluation of the molecular mechanisms of xenobiotic toxicity in primary hepatocyte systems is presented here. It is well established that hepatocytes in vitro are most representative of hepatotoxicity in vivo, and are most useful for the determination of xenobiotic hepatotoxicity mechanisms at the molecular and cellular level. There is an on-going interest in Quantitative Structure-Activity Relationships (QSAR) in toxicology, as it can identify correlations between chemical structure and biological activity. QSAR can be used to evaluate the effects of metabolism and toxicity as many physicochemical descriptors reflect simple molecular properties that can provide insight into the physicochemical nature of the activity under consideration. QSARs were determined for hepatotoxicity of halobenzenes, p-benzoquinones, α,β-unsaturated carbonyl compounds and nitroaromatics towards isolated hepatocytes. A molecular link was established for their proposed toxicity pathways. For example oxidative activation was linked to EHOMO (energy of the highest occupied molecular orbital) values and hydrophobicity (log P) of the chemicals, while reductive activation was linked with ELUMO (energy of the lowest molecular orbital) values and log P. Such relationships may thus be useful for predicting toxicity of other chemicals of the same mechanism of toxicity. Due to the complexity involved in the phenomena of hepatotoxicity, unravelling of structure-hepatotoxicity relationships is a complicated task. A conceptual framework for QSAR modeling is proposed that involves recognition of molecular initiating events as potential endpoints to improve the prediction potential of QSAR models. Acute toxicity of reactive chemicals could be based on an initial reaction with biomolecules, thus the theory of covalent binding reactivity was used to test this concept. Reactivity assays with thiol and amine surrogate nucleophiles were used to determine susceptibility to toxicity. The derived QSAR expressions suggested that covalent binding reactivity is a good correlate to hepatotoxicity, however only if electrophilicity was the main mechanism of toxicity.

The acute phase response (APR) has been shown to alter expression and activity of biotransformation enzymes, such as the phase I cytochromes P450 and phase II glutathione s-transferases (GSTs). The cytochromes P450 and GSTs are expressed abundantly and colocalized to non-neuronal cells of the olfactory mucosa. Previous studies indicate that olfactory cytochromes P450 expression and activity is altered during periods of localized inflammation and infection. Little is understood, however, about the influence of the APR on olfactory GST enzymes. This study investigated effects of the APR on olfactory GST isozymes expression and activity in mouse olfactory mucosa after 24-hr treatment with the acute phase inducer, polyinosinic: polycytidylic acid (polyIC). Western blot analysis using antibodies directed against specific GST isoforms α (A1-1), μ (M1-1), and π (P1-1) demonstrated that their expression was unaltered by polyIC treatment. In contrast, olfactory P450 2E1 expression was significantly decreased. Enzymatic activity of the olfactory GSTs toward the general substrate, 1-chloro-2,4-dinitrobenzene (CDNB) was unchanged during the APR. Analysis of olfactory glutathione content during the APR showed that it was also unaffected by polyIC. The insensitivity of these olfactory GST isoforms during the APR may play a significant role toward limiting the impact of infection and inflammation on the olfactory system.

Secoisolariciresinol (SECO) is the major lignan present in flaxseed, but unlike the structurally related lignan nordihydroguaiaretic acid, it is not associated with toxicity. The major phase I metabolite of SECO is lariciresinol, likely formed as a result of para-quinone methide (p-QM) formation followed by an intramolecular cyclization, thereby minimizing any toxicity associated with the p-QM. Four analogues of SECO were used to investigate substituent effects on lignan metabolism and formation of reactive quinones. HPLC methods were developed for analysis of SECO analogues and their metabolites. The stability of SECO analogues (1 mM) in a 50 mM Na2HPO4 buffer at pH 6.0 and 7.4 were quantified. Enzymatic oxidation experiments using mushroom tyrosinase and microsomes harvested from male Sprague-Dawley rats were performed with and without a GSH trapping system. Mass spectrometry and LC-MS were used to identify metabolites. Life Technologies was contracted to perform IC50 inhibition assays on SECO and the SECO analogues against CYP3A4, CYP3A5, CYP2C9 and CYP2C19 cytochrome P450 isoforms. All SECO analogues were stable at pH 6.0. SECO-2 was stable at pH 7.4 but SECO-1, -3 and -4 were unstable at pH 7.4. Autoxidation of SECO -1, -3 and -4 were 1st order reactions with t1/2 of 9.0 h, 1.7 h and 7.0 h respectively. Mushroom tyrosinase oxidations were performed to generate ortho-quinone standards. SECO-1 -3 and -4 were oxidized by mushroom tyrosinase but SECO-2 was not. Trapping with GSH produces aromatic ring conjugates for SECO-1, -3, -4. Results from microsomal oxidations for SECO-1, -3 and -4 are consistent with these standards. SECO-2 was metabolized by a microsomal system to produce a benzyl GSH adduct. Dealkylation products were also observed. All SECO analogues formed quinones but interestingly, GSH conjugation was competitive with intramolecular cyclization. All cytochrome P450 isoforms were inhibited by every analogue tested to varying degrees, a potential cause of toxicity concerns. Quinones are known to cause toxicity in vivo, including cytotoxicity, immunotoxicity, and carcinogenesis. Our results suggest that since the phenol and catechol lignans form GSH adducts in addition to intramolecular cyclization products, this class of lignans have the potential to cause toxicity.

MetaPrint2D, a new software tool implementing a data-mining approach for predicting sites of xenobiotic metabolism has been developed. The algorithm is based on a statistical analysis of the occurrences of atom centred circular fingerprints in both substrates and metabolites. This approach has undergone extensive evaluation and been shown to be of comparable accuracy to current best-in-class tools, but is able to make much faster predictions, for the first time enabling chemists to explore the effects of structural modifications on a compound’s metabolism in a highly responsive and interactive manner. MetaPrint2D is able to assign a confidence score to the predictions it generates, based on the availability of relevant data and the degree to which a compound is modelled by the algorithm. In the course of the evaluation of MetaPrint2D a novel metric for assessing the performance of site of metabolism predictions has been introduced. This overcomes the bias introduced by molecule size and the number of sites of metabolism inherent to the most commonly reported metrics used to evaluate site of metabolism predictions. This data mining approach to site of metabolism prediction has been augmented by a set of reaction type definitions to produce MetaPrint2D-React, enabling prediction of the types of transformations a compound is likely to undergo and the metabolites that are formed. This approach has been evaluated against both historical data and metabolic schemes reported in a number of recently published studies. Results suggest that the ability of this method to predict metabolic transformations is highly dependent on the relevance of the training set data to the query compounds. MetaPrint2D has been released as an open source software library, and both MetaPrint2D and MetaPrint2D-React are available for chemists to use through the Unilever Centre for Molecular Science Informatics website.

The aryl hydrocarbon receptor (AHR) is a basic helix-loop-helix PER/ARNT/SIM (bHLH-PAS) transcription factor that binds ligands typified by 2,3,7,8-tetracholordibenzo-p-dioxin, translocates to the nucleus, dimerizes with the aryl hydrocarbon nuclear translocator (ARNT) and associates with specific cis xenobiotic response elements to activate transcription of genes involved with xenobiotic metabolism. AHR-mediated signal transduction has been evaluated thoroughly in the C57BL/6J mouse model system. This model system, however, may not be the most accurate model for human comparisons as the AHRb-1 allele carried by C57BL/6J contains a point mutation that prematurely truncates the receptor at 805 amino acids, while the AHRb-2, rat, and human AHR all contain an additional 42-45 amino acids at their carboxy-terminus that have 70% identity. This carboxy-terminal region could be functionally significant and the analysis of AHR-mediated signal transduction in the rat, human, or other mouse strains may better represent the physiology of the AHR pathway. ARNT is another member of the bHLH-PAS family of proteins that is essential in several distinct signal transduction pathways mediated by its dimerization with a variety of bHLH-PAS proteins. Several isoforms of ARNT have been identified in mammalian and aquatic species. While ARNT and ARNT2 exhibit >90% amino acid identity in the bHLH and PAS domains, gene knock-out of either ARNT or ARNT2 results in embryonic/perinatal lethality characterized by distinct phenotypes. This suggests that neither protein can compensate fully for the loss of the other. Since overlapping tissue specific expression of ARNT and ARNT2 does exist, but neither ARNT can compensate fully for loss of the other, this suggests that the two proteins have distinct functions in the presence of various dimerization partners. Thus, the focus of these studies is to examine the discrepancies between the rat, human, or AHRb-2 possessing the extended carboxy-terminal region and that of the AHRb-1 and also to examine the role of both ARNT and ARNT2 during AHR-mediated signal transduction.

Cytochrome P450 enzymes (CYPs), found in almost all organisms, are involved in endobiotic metabolism and detoxification of xenobiotic compounds, such as drugs, pollutants, and insecticides. In insects, CYPs play a major role in conferring resistance to various insecticides including DDT. In Drosophila and other insects, DDT-resistant strains exhibit increased expression of multiple P450 genes; however, the mechanism of overexpression is unknown. Since many CYP genes including Cyp6a8 of Drosophila are induced by caffeine and other xenobiotics, these chemicals are used as tools to understand the regulation of these genes. Previously it was shown that the 0.8-kb (-1/-732) and 0.2-kb (-1/-170) upstream DNA of Cyp6a8 of the DDT-resistant 91-R strain support caffeine, DDT, and Phenobarbital induction in adult flies and S2 cells, the 0.2-kb DNA has many transcriptionally important sequence motifs. In the present investigation, site-directed mutagenesis was performed on the putative TATA box and CREB/AP-1 motifs located at the -97/-101, -57/-61, -43/-47, and -6/-10 regions of the 0.2- and 0.8 DNAs to determine their cis-regulatory role in caffeine and PB induction in S2 cells using luciferase reporter system. Results showed that all four deletions in 0.2- and 0.8-kb DNA decreased both basal and caffeine-induced activities, but maximum effect was seen with the -57/-61 deletion. Second, the TATA mutations greatly decreased basal activity, but they did not decrease caffeine-inducibility as much as the -57/-61 mutations. Third, the effects of other three deletions on basal activities were not as pronounced in the 0.8-kb environment as were seen in the 0.2-kb environment. Taken together these results suggest that of all four putative CREB/AP1 sites the one located at -57/-61 region is most important for both basal and caffeine-induced activities. The results also suggest that the additional 600 bases upstream of -1/-170 have distal elements that interact with the proximal promoter in the 0.2-kb DNA and boost basal transcription. A model suggesting interactions of all cis elements with the basal promoter for basal and induced transcription has been proposed.