Structural basis of the mutagenicity of phenylazoaniline dyes

The toxicity of textile reactive azo dyes after hydrolysis and decolourisation

The toxicity of C.I. Reactive Black 5 and three Procion dyes, as found in textile effluents, was determined using the bioluminescent bacterium Vibrio fischeri. Hydrolysed Reactive Black had a slightly greater toxicity than the parent form (EC(50) 11.4+/-3.68 and 27.5+/-4.01 mg l(-1), respectively). A baffled bioreactor with anaerobic and aerobic compartments was used to decolourise hydrolysed Reactive Black 5 in a synthetic effluent. Decolourisation of hydrolysed Reactive Black resulted in an increased toxicity (EC(50) 0.2+/-0.03 mg l(-1)). Toxicity was not detectable when decolourised Reactive Black 5 was metabolised under aerobic conditions. No genotoxicity was detected after the decolourisation of either the parent or the hydrolysed reactive dyes, either in vitro or in the bioreactor. The toxicity and genotoxicity of decolourised C.I. Acid Orange 7 was due to the production of 1-amino-2-naphthol (EC(50) 0.1+/-0.03 mg l(-1)).

Detection and determination of aromatic amines as products of reductive splitting from selected azo dyes

The current environment-friendly regulations concerning textile products ban the marketing of textiles dyed with azo dyes capable of reductively splitting carcinogenic aromatic amines. The study analyzes seven azo dyes whose chemical structure determines various quantities of splitting aromatic amines, such as benzidine. For tests, seven commercially available azo dyes with aromatic amines in their structure were selected. These included two hazardous dyes: Acid Red 85 and Direct Blue 6, both capable of reductively splitting carcinogenic benzidine. Of the remaining five azo dyes, three--Ponceau SS, Sudan II, and Disperse Yellow 7--are capable of splitting p-phenylenediamine and aniline, while Mordant Orange 1 and Disperse Orange 3 can split only p-phenylenediamine. For Acid Red 85 and Direct Blue 6, the quantity of benzidine split from them was analyzed, depending on the conditions of the reduction process (e.g., in the HPLC method, 104 g/kg of dye for reduction in NaOH, and 41 g/kg of dye for reduction in acetate buffer). The spectrophotometric method proved useful for preliminary analysis of amine content in examined samples. Spectrophotometric analysis may be used to determine the total content of amines counted as aniline. A full qualitative and quantitative analysis of amines released from azo dyes is possible using high-performance liquid chromatography (HPLC).

Rule extraction from a mutagenicity data set using adaptively grown phylogenetic-like trees

A public bacterial mutagenicity database was classified into 2-D structural families using a set of specific algorithms and clustering techniques that find overlapping classes of compounds based upon chemical substructures. Structure-activity relationships were learned from the biological activity of the compounds within each class and used to identify rules that define substructures potentially responsible for mutagenic activity. In addition, this method of analysis was used to compare the pharmacologically relevant substructure of test compounds with their potential toxic substructures making this a potentially valuable in silico profiling tool for lead selection and optimization.

Review of mutagenicity of monocyclic aromatic amines: quantitative structure-activity relationships

Monocyclic aromatic amines (MAAs) are environmental pollutants. Many of them are genotoxic and impose hazards to human health. The mutagenicity of more than 80 of these amines was reviewed with primary emphasis on evaluation by the Ames Salmonella/microsome testing system. Many amines are mutagenic in Salmonella tester strains TA98 and TA100, but S9 mix is required for activity for most of the active ones. 2,4-Diaminotoluene, 2,4-diaminoethylbenzene, and a few amines containing a nitro-group are direct mutagens. There are several quantitative structure-activity relationship (QSAR) models which rationalize mutagenicity of many aromatic amines and several parameters, such as the lowest unoccupied molecular orbital energy (ELUMO), highest occupied molecular orbital energy (EHOMO), and hydrophobicity that are important. What factors determine the minimum requirement for the compound to be mutagenic and what factors determine the extent of mutagenicity suggest questions for further study.

Computational predictive programs (expert systems) in toxicology

The increasing number of pollutants in the environment raises the problem of the toxicological risk evaluation of these chemicals. Several so called expert systems (ES) have been claimed to be able to predict toxicity of certain chemical structures. Different approaches are currently used for these ES, based on explicit rules derived from the knowledge of human experts that compiled lists of toxic moieties for instance in the case of programs called HazardExpert and DEREK or relying on statistical approaches, as in the CASE and TOPKAT programs. Here we describe and compare these and other intelligent computer programs because of their utility in obtaining at least a first rough indication of the potential toxic activity of chemicals.

Structural determinants of developmental toxicity

Developmental toxicity, an area of public concern, suffers from the lack of accessible, reliable, peer-reviewed compilations of data and substantial gaps in testing. These deficits frequently make it necessary for regulatory agencies to use other toxicological end points to regulate developmental toxicants. We have utilized a database of chemicals identified as developmental toxicants in rats, mice, rabbits, and humans and an expert system which learns the association between molecular structure and biological response (Computer Automated Structure Evaluation; CASE) to explore structure-activity relationships in developmental toxicity. Developmental toxicity was defined as death, growth retardation, or structural or functional malformations. In analyzing the data CASE selects its own molecular descriptors from a learning set of active and inactive molecules. Using randomly constructed learner and tester sets, the concordance of the predictions with the actual data was between 77 and 82%. CASE identified 13 major structural fragments associated with developmental toxicity in mice, 15 in rats, 9 in rabbits, and 7 in humans. These analyses indicate that there is indeed a structural basis for developmental toxicity which may be used to predict the developmental hazard of untested or inadequately tested chemicals.

Structural basis for the induction of preneoplastic glutathione S-transferase positive foci by hepatocarcinogens

A data base consisting of 100 chemicals tested for the ability to enhance the formation of glutathione-S-transferase (GST) positive preneoplastic lesions were analyzed by the CASE structure-activity relational system. A number of structural determinants associated with the induction of GST-positive foci were recognized. The majority of these describe non-electrophilic moieties. It is concluded that there is a structural basis for the induction of these neoplastic lesions; interestingly, it was found that this activity is associated with structures that are non-electrophilic. Reconstruction experiments have indicated that the identified structures are meaningful and that their significance could be better understood with the availability of test results on additional chemicals.

Structural basis of the mutagenicity of heterocyclic amines formed during the cooking processes

A data base consisting of 61 heterocyclic amines formed during food preparation and their des-amino analogs were subjected to structure-activity analysis using the CASE method, a structural activity relational expert system. The program identified the major structural determinants associated with mutagenic activity or lack thereof. The structures identified as contributing to the probability of activity as well as those associated with mutagenic potency were highly predictive of molecules not in the learning set. The major structural determinant, the aromatic amino moiety, and quantum mechanical calculations revealed that the mutagenic potency associated with this functionality derived from their contribution to the energy of the Lowest Unoccupied Molecular Orbital (LUMO).

Structural relationships between mutagenicity, maximum tolerated dose, and carcinogenicity in rodents

The CASE structure-activity relational system was applied to a study of the structural bases of toxicity as expressed in the maximum tolerated dose (MTD) of a group of chemicals for which rodent carcinogenicity and mutagenicity data were also available. All of the results were obtained under the aegis of the U.S. National Toxicology Program. The analyses revealed that there was a structural basis for the MTD in mice and in rats and that these overlapped considerably. There was also some overlap between structural determinants of the MTD and of carcinogenicity in rodents but there was also a significant "antagonism" between such fragments; i.e., fragments associated with high toxicity (low MTD) were associated with lack of carcinogenicity and vice versa. The highest overlaps observed were between the structural determinant for a low MTD (i.e., high toxicity) and mutagenicity in Salmonella.

1,4-Dioxane: prediction of in vivo clastogenicity

1,4-Dioxane was analyzed with the CASE program to determine the structural basis of its potential genotoxicity and carcinogenicity. These investigations led to the prediction that while 1,4-dioxane was not genotoxic in vitro, it was an inducer of micronuclei in the bone marrow of rats and a carcinogen for both rats and mice. If it is assumed that the induction of micronuclei is the result of DNA damage, then this potential and the previous report of the in vivo induction of DNA strand breaks in rat liver raise the possibility of a genotoxic action for 1,4-dioxane. However it is also conceivable that we have identified a structural feature which contributes to the induction of micronuclei by a non-genotoxic mechanism.

Structural basis of the in vivo induction of micronuclei

The structural basis of the in vivo induction of micronuclei was examined with CASE, a structure-activity relational method. The CASE program identified a number of structures associated with this activity. When used to predict the activity of chemicals not included in the learning set, these structural determinants gave a concordance in excess of 83%. The existence of a structural basis for the induction of micronuclei will permit an investigation of the mechanistic basis of this phenomenon.

Mutagenicity of azo dyes: structure-activity relationships

Azo dyes are extensively used in textile, printing, leather, paper making, drug and food industries. Following oral exposure, azo dyes are metabolized to aromatic amines by intestinal microflora or liver azoreductases. Aromatic amines are further metabolized to genotoxic compounds by mammalian microsomal enzymes. Many of these aromatic amines are mutagenic in the Ames Salmonella/microsomal assay system. The chemical structure of many mutagenic azo dyes was reviewed, and we found that the biologically active dyes are mainly limited to those compounds containing p-phenylenediamine and benzidine moieties. It was found that for the phenylenediamine moiety, methylation or substitution of a nitro group for an amino group does not decrease mutagenicity. However, sulfonation, carboxylation, deamination, or substitution of an ethyl alcohol or an acetyl group for the hydrogen in the amino groups leads to a decrease in the mutagenic activity. For the benzidine moiety, methylation, methoxylation, halogenation or substitution of an acetyl group for hydrogen in the amino group does not affect mutagenicity, but complexation with copper ions diminishes mutagenicity. The mutagenicity of benzidine or its derivatives is also decreased when in the form of a hydrochloride salt with only one exception. Mutagenicity of azo dyes can, therefore, be predicted by these structure-activity relationships.

Testing by artificial intelligence: computational alternatives to the determination of mutagenicity

In order to develop methods for evaluating the predictive performance of computer-driven structure-activity methods (SAR) as well as to determine the limits of predictivity, we investigated the behavior of two Salmonella mutagenicity data bases: (a) a subset from the Genetox Program and (b) one from the U.S. National Toxicology Program (NTP). For molecules common to the two data bases, the experimental concordance was 76% when "marginals" were included and 81% when they were excluded. Three SAR methods were evaluated: CASE, MULTICASE and CASE/Graph Indices (CASE/GI). The programs "learned" the Genetox data base and used it to predict NTP molecules that were not present in the Genetox compilation. The concordances were 72, 80 and 47% respectively. Obviously, the MULTICASE version is superior and approaches the 85% interlaboratory variability observed for the Salmonella mutagenicity assays when the latter was carried out under carefully controlled conditions.

Decreased electrophilicity of chemicals carcinogenic only at the maximum tolerated dose

While there was no significant difference between the actual or predicted mutagenicity and clastogenicity of a group of chemicals carcinogenic only at the maximum tolerated dose (MTD) and a group of chemicals carcinogenic below the MTD, as a group, the chemicals carcinogenic below the MTD exhibited a significantly decreased LUMO (Lowest Unoccupied Molecular Orbital) energy, indicative of increased electrophilicity (i.e. DNA reactivity). These findings suggest that chemicals carcinogenic only at the MTD either require increased doses of "weak" electrophiles to be carcinogenic or that they may act by a "non-genotoxic" mechanism.

A compilation of genotoxicity and carcinogenicity data on aromatic aminosulphonic acids

A review is presented to evaluate existing information on genotoxicity and carcinogenicity testing of various aromatic aminosulphonic acids (AASAs). A great variety of water-soluble azo dyes can form aromatic phenyl- or naphthyl-aminosulphonic acids by chemical and enzymatic reduction. AASAs are also used as intermediates in the synthesis of azo dyes and azo pigments and can arise as contaminants in the final products. Comparisons have been made with the data available on the corresponding unsulphonated analogues, some of which are known to be genotoxic and/or carcinogenic. The vast majority of the AASAs were conclusively non-mutagenic in the Ames test. In most cases the absence of genotoxicity was also demonstrated with a variety of other test systems in vitro and in vivo. It is concluded that AASAs, in contrast with some of their unsulphonated analogues, generally have no or very low genotoxic and tumorigenic potential.

Implications of newly recognized relationships between mutagenicity, genotoxicity and carcinogenicity of molecules

The CASE structure-activity relational method was used to predict the mutagenicity, cytogenotoxicity, carcinogenicity, sensory irritation, male rat-specific alpha 2 mu-nephrotoxicity and maximum tolerated dose of a population of molecules (N greater than or equal to 1300). These chemicals were then sorted out by their predicted responses to specific tests and sub-populations of molecules with different prevalence with respect to described endpoints were constructed, i.e. 0-100% prevalences of mutagens, rodent carcinogens and SCE inducers. The predicted properties of these populations were analyzed and the overlap among tests was determined. The method also permits the determination of the dependence among assays and the level of false-positive and false-negative predictions.

Methapyrilene: DNA as a possible target

The structural features contributing to the potential carcinogenicity, DNA-reactivity and genotoxicity of methapyrilene and its non-carcinogenic congener pyrilamine were examined. The analyses suggest that the former has the potential for DNA-reactivity, a property which is absent from the latter.

The structural basis of the carcinogenic and mutagenic potentials of phytoalexins

CASE, a structure-activity relational system, was used to predict the proportion of substances to be carcinogenic and mutagenic among plant pesticides (phytoalexins) and other natural products compared to that of randomly selected chemicals. There were no significant differences between phytoalexins and other natural products. On the other hand, the natural products, as a group, were predicted to be less mutagenic and carcinogenic than randomly selected chemicals. 37% of natural products are predicted to be rodent carcinogens.

The carcinogenic potential of cocaine

Analysis of cocaine by CASE, an expert system, results in the prediction that cocaine is a rodent carcinogen. In view of the widespread exposure to cocaine this is cause for alarm, especially as in utero exposure has been widely documented and the developing human fetus is at an increased risk of transplacental cancer induction.

New structural concepts for predicting carcinogenicity in rodents: an artificial intelligence approach

The Computer Automated Structure Evaluation (CASE) method for studying structure-activity relationships has been applied to a data base of rodent carcinogens. It has been demonstrated that CASE is able to identify determinants embedded in the molecular structure which, with a high probability, predict rodent carcinogenicity. CASE has also identified determinants associated with the activity of non-genotoxic carcinogens, thereby suggesting that there is a structural commonality in the activity of these molecules. The present study reveals that there are "universal" as well as species-specific structural determinants of carcinogenicity. CASE was able to predict the carcinogenicity in rodents of certain endogenous pesticides in edible plants.