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Background: Exposure to high levels of maternal stress and ineffective maternal-child engagement (MC-E) may adversely affect child health-related outcomes., Objective: The aim of this study was to examine the impact of maternal stress and MC-E on maternal and child biological responses (salivary cortisol and testosterone) and child health outcome in mother-child dyads of preschool children (3-5.9 years) in a low socioeconomic setting., Methods: Observational and biobehavioral data were collected from 50 mother-child dyads in a preschool setting. Assessments included maternal stress with the Perceived Stress Scale, child health outcomes with the Pediatric Quality of Life Inventory, and MC-E with videotaped mother-child interactions and scored with the Keys to Interactive Parenting Scale. Morning and evening saliva samples were collected from mother and child for biological assays., Results: Maternal stress was negatively correlated with MC-E (r = -.32, p < .05) and child health outcome (r = -.33, p < .05). Lower levels of MC-E predicted higher morning cortisol (p = .02) and higher morning and bedtime testosterone levels in children (p = .03 and p = .04, respectively). Child biological responses did not predict child health outcome., Discussion: Maternal stress and MC-E during mother-child interactions play a significant role in the regulation of child stress physiology and child health outcome. Elevated cortisol and testosterone related to high maternal stress and low MC-E may increase the child's vulnerability to negative health outcomes-if sustained. More biobehavioral research is needed to understand how parent-child interactions affect child development and health outcomes in early childhood.

Relationships between the structure and properties of chemicals can be programmed into knowledge-based systems such as DEREK for Windows (DEREK is an acronym for "Deductive Estimation of Risk from Existing Knowledge"). The DEREK for Windows computer system contains a subset of over 60 rules describing chemical substructures (toxophores) responsible for skin sensitisation. As part of the European Phototox Project, the rule base was supplemented by a number of rules for the prospective identification of photoallergens, either by extension of the scope of existing rules or by the generation of new rules where a sound mechanistic rationale for the biological activity could be established. The scope of the rules for photoallergenicity was then further refined by assessment against a list of chemicals identified as photosensitisers by the Centro de Farmacovigilancia de la Comunidad Valenciana, Valencia, Spain. This paper contains an analysis of the mechanistic bases of activity for eight important groups of photoallergens and phototoxins, together with rules for the prospective identification of the photobiological activity of new or untested chemicals belonging to those classes. The mechanism of action of one additional chemical, nitrofurantoin, is well established; however, it was deemed inappropriate to write a rule on the basis of a single chemical structure.

The new European Union (EU) chemicals policy, as described in the White Paper entitled Strategy for a Future Chemicals Policy, has identified a need for computer-based tools suitable for predicting the hazardous properties of chemicals. Two sets of structural alerts (fragments of chemical structure) for the prediction of skin sensitisation hazard classification ("R43, may cause sensitisation by skin contact") have been drawn up, based on sensitising chemicals from a regulatory database (containing data for the EU notification of new chemicals). These alerts comprise 15 rules for chemical structures deemed to be sensitising by direct action of the chemicals with cells or proteins within the skin, and three rules for substructures that act indirectly, i.e. requiring chemical or biochemical transformation. The predictivity rates of the rules were found to be good (positive predictivity, 88%; false-positive rate, 1%; specificity, 99%; negative predictivity, 74%; false-negative rate, 80%; sensitivity, 20%). Because of the confidential nature of the regulatory database, the rules are supported by examples of sensitising chemicals taken from the "Allergenliste" now held by the Federal Institute for Risk Assessment (BfR) and the DEREK for Windows expert system. The rules were prevalidated against data not used for their development. As a result of the prevalidation study, it is proposed that the two sets of structural alerts should be taken forward for formal validation, with a view to incorporating them into regulatory guidelines.

Recent developments in the prediction of toxicity from chemical structure have been reviewed. Attention has been drawn to some of the problems that can be encountered in the area of predictive toxicology, including the need for a multi-disciplinary approach and the need to address mechanisms of action. Progress has been hampered by the sparseness of good quality toxicological data. Perhaps too much effort has been devoted to exploring new statistical methods rather than to the creation of data sets for hitherto uninvestigated toxicological endpoints and/or classes of chemicals.

The potent skin sensitizers hex-1-ene- and hexane-1,3-sultone have been synthesized isotopically labeled with (13)C at reactive sites. The reactivity of 2-[(13)C]- and 3-[(13)C]hex-1-ene-1,3-sultones and of 3-[(13)C]hexane-1,3-sultone toward a series of model nucleophiles for protein amino acid residues, i.e., butylamine, diethylamine, imidazole, propanethiol, and phenol, was followed by (13)C NMR spectroscopy. The reactivity in water of hex-1-ene-1,3-sultone toward model nucleophiles follows the hard and soft acid and base theory with the hard nucleophiles (primary and secondary amine and phenate) mainly reacting at position 3 by S(N) substitution, and the soft nucleophiles (thiolate and imidazole) mainly reacting at position 2 by a Michael addition reaction. Hexane-1,3-sultone reacts with model nucleophiles at position 3 by S(N) substitution. Both saturated and unsaturated sultones are sensitive to hydrolysis when reacted in water.

3-[(13)C]- and 2-[(13)C]hex-1-ene-1,3-sultones (1a and 1b, respectively) and 3-[(13)C]hex-1-ene-1,3-sultone 2a were incubated with human serum albumin in phosphate buffer at pH 8.1. In both cases, the main reaction was a hydrolysis via an S(N) reaction at position 3, but several adducts were also formed. Hex-1-ene-1,3-sultone, which is a strong skin sensitizer, appears also to be a strongly oxophilic molecule reacting mainly at position 3 through an S(N) reaction to give adducts on tyrosines. This sultone was also able to react with a single lysine residue, also via an initial S(N) reaction at position 3, followed by an intramolecular Michael addition at position 2 to form a mixture of aziridinium intermediates which were subsequently hydrolyzed to give an amino alcohol derivative as the final product. The same reaction carried out on acetylated human serum albumin seems to indicate that the target lysine could be Lys199, which is known to be easily acetylated. Hexane-1,3-sultone, which is a weak sensitizer, appears to be an even more oxophilic molecule, making adducts on tyrosines through an S(N) reaction at position 3. No reaction was observed on Lys199. The difference in skin sensitization potential seems therefore to be more related to the selective ability of modifying lysine residues than to the more general ability to modify tyrosine residues.

Relationships between the structure and properties of chemicals can be programmed into knowledge-based systems such as DEREK (an acronym for 'Deductive Estimation of Risk from Existing Knowledge'). The DEREK knowledge-based computer system contains a sub-set of over 50 rules describing chemical substructures (toxophores) responsible for skin sensitization. This rulebase, based originally on Unilever historical in-house guinea pig maximisation test data, is largely complete and is undergoing refinement as the next stage of its development. As part of an ongoing program of validation and testing, the predictive ability of the sensitization rule set was assessed by processing the structures of over 100 chemical substances in the list of contact allergens identified by the BgVV (German Federal Institute for Health Protection of Consumers). The exercise highlighted areas of chemistry where further development of the rulebase was required, either by extension of the scope of existing rules or by generation of new rules where a sound mechanistic rationale for the biological activity could be established. Several chemicals likely to be acting as photoallergens were identified and rules for photoallergenicity were written covering three classes of chemicals. This paper describes work to extend the DEREK rules for photoallergenicity as part of the European Phototox Project.

Many therapeutic drugs induce phototoxic skin responses following exposure to solar or artificial ultraviolet radiation sources. Several in vitro model systems have been developed to predict drug phototoxicity but none have been conducted in parallel with controlled clinical phototoxicity studies on systemically administered pharmaceuticals. The in vitro phototoxicity of eight fluoroquinolone (FQ) antibiotics (ciprofloxacin, grepafloxacin, lomefloxacin, norfloxacin, ofloxacin, trovafloxacin, BAYy3118, moxifloxacin) was determined by exposing Chinese hamster fibroblasts to UVA radiation. Cell damage was quantified with standard MTT or neutral red assays and an in vitro phototoxic index calculated (PI(vit)=% cell viability with UVA alone /% cell viability with UVA+FQ) for each endpoint. Clinical photosensitizing ability of the eight systemically administered FQ was investigated using double-blind, placebo and positive controlled, clinical skin phototesting of normal subjects. Minimal erythema doses at 365+/-30nm were determined before and after 6-7 days of FQ ingestion and PI(clin) (minimal erythema dose without FQ/minimal erythema dose with FQ) calculated. Linear regression analysis of PI(vit) vs PI(clin) gave correlations of up to 0.893. Principal components analysis of PI(vit), daily dose, plasma levels and photophysical (absorption) properties of the eight FQ showed that phototoxic (arbitrarily defined as PI(clin)> or =2) and non-phototoxic (PI(clin)<2) FQ could be completely discriminated using these parameters, and that the in vitro models were able to rank the relative phototoxic potential of the eight FQ.

A QSAR model for the eye irritation of cationic surfactants has been constructed using a dataset consisting of the maximum average scores (MAS-accordance to Draize) for 29 in vivo rabbit eye irritation tests on 19 different cationic surfactants. The parameters used were logP (log [octanol/water partition coefficient]) and molecular volume (to model the partition of the surfactants into the membranes of the eye), logCMC (log critical micelle concentration-a measure of the reactivity of the surfactants with the eye) together with surfactant concentration. The model was constructed using neural network analysis. MAS showed strongly positive, non-linear correlations with surfactant concentration and logCMC and a strongly negative, non-linear correlation with logP. The Pearson correlation between the actual and predicted values of MAS was 0.838 showing that around 70% (r(2)=0.702) of the variance in the dataset is explained by the model. This value is consistent with levels of biological variability reported historically for the Draize rabbit eye test. The relationship provides a potentially useful prediction model for the eye irritation potential of new or untested cationic surfactants with physicochemical properties lying within the parameter space of the model.

The basis for the prediction of toxicity from chemical structure is that the properties of a chemical are implicit in its molecular structure. Biological activity can be expressed as a function of partition and reactivity, that is, for a chemical to be able to express its toxicity, it must be transported from its site of administration to its site of action and then it must bind to or react with its receptor or target. This process may also involve metabolic transformation of the chemical. The application of these principles to the prediction of the toxicity of new or untested chemicals has been achieved in a number of different ways covering a wide range of complexity, from computer systems containing databases of hundreds of chemicals, to simple "reading across" between chemicals with similar chemical/toxicological functionality. The common feature of the approaches described in this article is that their starting point is a mechanistic hypothesis linking chemical structure and/or functionality with the toxicological endpoint of interest. The prediction of toxicity from chemical structure can make a valuable contribution to the reduction of animal usage in the screening out of potentially toxic chemicals at an early stage and in providing data for making positive classifications of toxicity.

The ECVAM Task Force on Integrated Testing Strategies was established in December 1996, with the remit of assessing the current status of integrated toxicity testing, and of making proposals regarding the design and implementation of integrated testing strategies. The first step in an integrated testing strategy is usually to determine the chemical functionality of a substance, on the basis of its structure and physicochemical properties. The biokinetic and dynamic behaviours of the chemical in various in vitro systems are then assessed. The various elements are then integrated, in either a parallel or a stepwise fashion, to make predictions of the local or systemic toxicity of the chemical of interest. In this report, a generic scheme for local/systemic toxicity, and a specific scheme for target organ toxicity, are proposed. The scope and limitations of the approaches are discussed. The task force hopes that its proposals will stimulate a discussion on the feasibility of this type of approach and it welcomes any feedback. It is planned that the discussion points will be elaborated in a second task force report., (1999 FRAME.)

The DEREK knowledge-based computer system contains a subset of approximately 50 rules describing chemical substructures (toxophores) responsible for skin sensitization. This rulebase, based originally on Unilever historical in-house guinea pig maximization test data, has been subject to extensive validation and is undergoing refinement as the next stage of its development. As part of an ongoing program of validation and testing, the predictive ability of the sensitization rule set has been assessed by processing the structures of the 84 chemical substances in the list of contact allergens issued by the BgVV (German Federal Institute for Health Protection of Consumers). This list of chemicals is important because the biological data for each of the chemicals have been carefully scrutinized and peer reviewed, a key consideration in an area of toxicology in which much unreliable and potentially misleading data have been published. The existing DEREK rulebase for skin sensitization identified toxophores for skin sensitization in the structures of 71 out of the 84 chemicals (85%). The exercise highlighted areas of chemistry where further development of the rulebase was required, either by extension of the scope of existing rules or by generation of new rules where a sound mechanistic rationale for the biological activity could be established. Chemicals likely to be acting as photoallergens were identified, and new rules for photoallergenicity have subsequently been written. At the end of the exercise, the refined rulebase was able to identify toxophores for skin sensitization for 82 of the 84 chemicals in the BgVV list.

Structure Activity Relationships (SARs) or Quantitative Structure Activity Relationships (QSARs) form the basis of most computer prediction systems in toxicology. The underlying premise of SARs and QSARs is that the properties of a chemical are implicit in its molecular structure. For an SAR or QSAR to be valid and reliable, the dependent property for all of the chemicals covered by the relationship has to be elicited by a mechanism which is both common to the set of chemicals as well as relevant to that dependent property. Similar principles must also be applied to the development of in vitro alternatives to animal tests if those methods are to be reliable. A number of ways in which computer prediction systems and in vitro toxicology can complement each other in the development of alternatives to live animal experiments are described.

An international validation study on in vitro tests for skin corrosivity was conducted during 1996 and 1997 under the auspices of the European Centre for the Validation of Alternative Methods (ECVAM). The main objectives of the study were to assess the performances of selected in vitro tests in discriminating between: (a) corrosives (C) and non-corrosives (NC), for selected groups of chemicals (e.g. organic acids, phenols) and/or for all chemicals (single chemical entities only); and (b) known R35 (UN packing group I) and R34 (UN packing groups II & III) chemicals. Each test was evaluated for reliability and relevance by using a test set of 60 coded chemicals. In this paper, the test chemicals used in the validation study are identified; they include organic acids (6C/5NC), organic bases (7C/3NC), neutral organics (9NC), phenols (2C/3NC), inorganic acids (6C/1NC), inorganic bases (2C/2NC), inorganic salts (1C/2NC), electrophiles (3C/5NC) and soaps/surfactants (3NC). The in vivo classifications and important physicochemical properties (e.g. logP, pKa) of the test chemicals are given. The main criterion for including chemicals in the test set was that their corrosivity classifications were based on unequivocal animal data. Where available, structure-activity information was also used to support the corrosivity classifications. Despite the small numbers of chemicals in some of the categories, it was felt that the test set chosen represented the best possible for evaluating the performances of the in vitro tests for predicting skin corrosivity, given the limited availability of unequivocal animal data. The prediction of skin corrosivity from pH data was also investigated for those chemicals with extreme pH values (i.e. pH2 or 11.5). Nine of the 12 strongly acidic or alkaline chemicals in the test set, which were predicted to be C on the basis of their pH values, had also been found to be C in vivo.

The principles of quantitative structure-activity relationships (QSAR) are based on the premise that the properties of a chemical are implicit in its molecular structure. Therefore, if a mechanistic hypothesis can be proposed linking a group of related chemicals with a particular toxic end point, the hypothesis can be used to define relevant parameters to establish a QSAR. Ways in which QSAR and in vitro toxicology can complement each other in development of alternatives to live animal experiments are described and illustrated by examples from acute toxicological end points. Integration of QSAR and in vitro methods is examined in the context of assessing mechanistic competence and improving the design of in vitro assays and the development of prediction models. The nature of biological variability is explored together with its implications for the selection of sets of chemicals for test development, optimization, and validation. Methods are described to support the use of data from in vivo tests that do not meet today's stringent requirements of acceptability. Integration of QSAR and in vitro methods into strategic approaches for the replacement, reduction, and refinement of the use of animals is described with examples.

Virtually all current detergent formulations contain mixtures of surfactants. Our experience and test data on these formulations, which is in agreement with that of many others, has shown that in use the formulations exhibit lower acute irritation potential than predicted by simple summation of the irritation potential of the individual actives. Using the criteria of the Dangerous Preparations Directive (EC Directive 88/379/EEC), many of these formulations classify as irritant in the neat state, with consequent labelling requirements. Such classification is based on addition of irritant components giving a total concentration which exceeds a nominal threshold. In this study, mixtures of surfactants were tested by application to a panel of 31 human volunteers for up to 4 hr, using the technique established for the assessment of acute skin irritation potential. The positive control, sodium dodecyl sulfate (SDS) at 20% concentration, gave an 84% positive response. Dimethyl dodecyl amido betaine (DDAB) at the same concentration gave a 94% response. However, a combination of 20% of each of these surfactants in the same panellists gave a response of only 44%--a significant reduction in the irritation potential. A further test conducted with a mixture of 10% SDS and 10% DDAB in a second panel gave a 31% positive response compared with a 94% positive response to the 20% SDS control in that panel. These results clearly demonstrate that the acute irritation potential of mixed surfactants cannot be predicted by simple summation of the irritation potential of the component substances. Initial results of the mechanistic investigation indicate that the reduced irritation induced by the mixed surfactant systems correlates with a reduced critical micelle concentration (CMC). However, the reduced CMC itself seems not to be responsible for the lowered irritation, since these experiments were conducted at concentrations well above the CMC. It is proposed that the critical event leading to skin irritation is binding to skin protein and that in mixed surfactant systems, the individual surfactants exhibit less affinity for this protein.

A quantitative structure-activity relationship (QSAR) was derived previously relating European Community (EC) eye irritation classification data of a set of neutral organic chemicals, to log(octanol/water partition coefficient), to the minor principal inertial axes (Ry and Rz) and to dipole moment. Eye irritation scores on a scale of 1-10 for a set of aliphatic alcohols (from the work of Smyth and Carpenter) have been shown to correlate well with the same four physicochemical parameters by means of neural network analysis. The original classification dataset of neutral organic chemicals has been augmented by the addition of a number of the aliphatic alcohols from the Smyth and Carpenter data that could unequivocally be assigned the EC classifications of irritant (those with eye irritation scores of 8 and 9) or non-irritant (scores of 1). Analysis of the extended dataset by both principal components and neural network analysis showed a clear discrimination between irritant and non-irritant chemicals using the same four physicochemical parameters. Predictions of EC eye irritation classifications for aliphatic alcohols with eye scores of 2-7, using the neural network model, showed that alcohols with eye scores of 2 and 3 lie on the classification boundary between irritant and non-irritant whereas those with scores of 4 and above are classified as irritant. These analyses support the validity of the original four-parameter eye irritation QSAR model for neutral organic chemicals. Furthermore, they provide a method for interrelating sets of in vivo data in which the biological response parameters are expressed in quite different formats, providing a means of utilizing historical data and thereby extending the availability of in vivo data suitable for the validation of in vitro alternative methods.

Quantitative structure-activity relationships (QSAR) methods have been derived that relate the severity of skin corrosivity (designated by the EC risk phrases R34 and R35) of acids to parameters that model their skin permeability and cytotoxicity. Skin permeability was modelled by log(octanol/water partition coefficient), molecular volume and melting point, while the cytotoxicity of the acids was accounted for by their pK(a), values and the in vitro cytotoxicity of their sodium salts towards Swiss mouse embryo 3T3 cells. The dataset was analysed using principal components and neural network analysis. The classification predictions from both QSAR methods were in agreement with those in the training set for 26 of the 27 acids. The methods provide useful procedures for the prediction of the skin corrosivity potentials of severely corrosive acids, which avoid the use of experimental animals and demonstrate the value of in vitro cytotoxicity parameters as inputs for QSAR analysis.

Quantitative structure-activity relationships (QSARs) have been derived by relating skin irritation and corrosivity data of neutral and electrophilic organic chemicals to their log(octanol/water partition coefficient) (logP), molecular volume, dipole moment and 1/molecular weight. Datasets were analysed using stepwise regression, discriminant and principal components analysis. Discriminant analysis between irritant and non-irritant neutral and electrophilic organic chemicals using the above parameters, which broadly model skin permeability (logP and molecular volume), 'reactivity' (dipole moment) and l/molecular weight to compensate for the fact that skin irritation/corrosivity testing is carried out using a fixed mass or volume of chemical, was found to discriminate well for only 73.1% of the dataset (67.3% cross-validated). The poor discrimination at the irritant/non-irritant classification boundary is attributed largely to biological variability. Stepwise regression analysis of the Primary Irritation Index (PII) for the same dataset showed a poor correlation (r(2) = 0.422; cross-validated r(2) = 0.201) with a positive dependence on logP and dipole moment and a negative dependence on molecular volume; l/molecular weight was not a significant variable. While this QSAR for PII has little value as a predictive model, mainly because of the large biological variability evident in PII values, it is useful in confirming the putative model for skin irritation. Discriminant analysis using logP, molecular volume and dipole moment, was able to discriminate reasonably well (92.9% well-classified; 92.9% cross-validated) between corrosive and non-corrosive electrophiles. A plot of the first two principal components of the same parameters showed a clear demarcation between corrosive and non-corrosive electrophiles. In contrast to the QSARs for skin irritation, increasing skin corrosivity was found to correlate with decreasing molecular volume, with increasing dipole moment, and with decreasing logP. The predominant parameter in determining the skin corrosivity of electrophilic organic chemicals appears to be the molar dose at which they are tested; this arises because skin corrosivity testing is conducted using a fixed mass or volume of chemical. A stepwise approach to the skin corrosivity/irritation classification of neutral and electrophilic organic chemicals is outlined. The derived QSARs should be useful for the prediction of the skin corrosivity potential of new or untested electrophiles. (Non-electrophilic neutral organic chemicals, as a category, do not generally appear to be corrosive.) Discrimination between some non-irritant and irritant neutral and electrophilic organic chemicals using these techniques is also possible. For a large number of chemicals whose irritation potentials lie in a fairly broad band around the irritant/non-irritant classification boundary, no firm prediction of classification is possible.

Iodide uptake (IU) by thyrocytes from the plasma against chemical and electrical gradients is by a specific iodide transporter or 'pump'. Perchlorate (ClO(4)(-)) and other univalent, symmetrical anions are competitive inhibitors of iodide uptake (IU), and apparent K(i) for individual anions can be correlated with ion size. This study uses cultured thyrocytes and a broad range of anion size, in particular a series of spherical hexafluoride ions, in order to understand more about the parameters governing the activity of competitive inhibitors of IU. (125)I uptake and organification by cultured porcine thyrocytes was combined with biochemical enzyme inhibition studies on thyroid peroxidase in order to identify specific effects on IU. Known inhibitors were used in a validation phase and demonstrated that a combination of the in vitro thyrocyte (125)I assay and thyroid peroxidase inhibition assay could be used to identify selective inhibitors that can be difficult to identify using thyrocytes alone. Anions of less than, or similar, volume to I(-) (35.0 A(3)) were weak inhibitors with potency increasing proportional to ion size up to an apparent maximum for AsF(6)(-) (94.45 A(3)); this correlation was strong (r = 0.96). PF(6)(-), AsF(6)(-) and SbF(6)(-) were identified as novel inhibitors of IU, showing that the size range of anions active in IU inhibition is greater than that previously identified. The biological significance in vivo of the inhibitory action of the hexafluoride ions is not known. Their potency in this study suggests that these anions may have the potential to affect thyroid function in vivo if they were available systemically.

Quantitative structure-activity relationships (QSARs) relating skin corrosivity data of organic acids, bases and phenols to their log(octanol/water partition coefficient), molecular volume, melting point and pK(a). have been extended to substantially larger datasets. In addition to principal components analysis, as used in earlier work, the datasets have also been analysed using neural networks. Plots of the first two principal components of the four independent variables, which broadly model skin permeability and cytotoxicity, for each of the extended datasets confirmed that the analysis was able to discriminate well between corrosive and non-corrosive chemicals. Neural networks using the same parameters as inputs, were trained to an output in the range 0.0 to 1.0, with non-corrosive chemicals being assigned the value 0 and corrosive chemicals the value 1. As well as yielding classification predictions in agreement with those in the training sets, predicted outputs in the 0 to 1 range gave a useful indication of the confidence of the predicted classification. These QSARs are useful (a) for the prediction of the skin corrosivity potentials of new or untested chemicals and (b) for determining the confidence of predictions in regions of 'biological uncertainty' which exist at the classification threshold between corrosive and non-corrosive chemicals.

The corrosive potential of a series of fatty acids-propanoic acid (C3), butanoic acid (C4), hexanoic acid (C6), octanoic acid (C8), decanoic acid (C10) and dodecanoic acid (C12)-was investigated in the in vitro skin corrosivity test (IVSCT) using both rat skin and human skin. All the fatty acids with alkyl chain lengths up to and including C8 were found to be corrosive to rat skin. When human skin was used, the corrosive/non-corrosive threshold was shifted to around the C6 fatty acid. The results are discussed in the context of a QSAR for the corrosivity of organic acids, with the putative mechanism that corrosivity is a function of the ability of the chemical to permeate the skin together with its cytotoxicity, expressed in this case as acidity (pK(a)). This mechanistic interpretation is consistent with the known differences in barrier properties between rat and human skin.

Computer-based assessment of potential toxicity has become increasingly popular in recent years. The knowledge-base system DEREK is developed under the guidance of a multinational Collaborative Group of expert toxicologists and provides a qualitative approach to toxicity prediction. Major developments of the DEREK program and knowledge-base have taken place in the last 3 years. Program developments include improvements in both the user interface and data processing. Work on the knowledge-base has concentrated on the areas of genotoxicity and skin sensitisation. DEREK's predictive capabilities for these toxicological end-points has been demonstrated. In addition to the continued expansion of the knowledge-base, a number of enhancements are planned in the DEREK program. In particular, work is in progress to develop further DEREK's ability to report the reasoning behind its predictions.

For over half a century, guinea pig methods have dominated the field of toxicology concerned with the identification of skin sensitizers. Specific protocols, for example the guinea pig maximization test (GPMT), have been pre-eminent in the identification of skin sensitization hazard for regulatory purposes. However, there are increasingly several forces driving change, not least animal use/welfare considerations. In response to this and to address the need for a rapid screen for chemical allergens, an alternative strategy has been developed. In the first instance, a chemical is assessed by a computer-based expert system. This system is constructed from some 50 rules describing the key chemically reactive substructures of known skin sensitizers. The output from the expert system is also evaluated in the light of the understanding of the skin penetration characteristics of the chemical. In this way, and without use of animals, the likelihood that a chemical represents a skin sensitization hazard is assessed based on the two key characteristics of a skin sensitizer: (1) its direct or indirect ability to react with skin protein (i.e. does it contain a structural alert?); and (2) the ability of the chemical to partition into the appropriate epidermal compartment. When the chemical does possess a structural alert and has the capacity to penetrate skin sufficiently, then it may be regarded as a potential skin sensitizer. Subsequent to this screening phase, if necessary the chemical may be assessed in the murine local lymph node assay. This assay is quicker and cheaper than traditional guinea pig assays and importantly is less stressful to the fewer animals that it requires. The assay is well validated and produces objective results which are equivalent to the GPMT in terms of identifying significant skin sensitization hazard. In this paper, the above strategy is described in more detail, focusing on its relevance to hazard identification and its value in animal welfare terms. It is concluded that the strategy provides an important opportunity for both substantial reduction and refinement of animal use in a manner which will not compromise the existing standard of classification and labelling of skin sensitization hazard in the European Union.

Quantitative structure-activity relationships (QSARs) have been derived relating eye irritation data of a set of neutral organic chemicals to log(octanol-water partition coefficient), the minor principal inertial axes (Ry and Rz) and dipole moment. Datasets were analysed using principal components analysis; plots of the first 2 principal components of the above parameters showed that the analysis was able to discriminate well between the irritant and non-irritant chemicals in the dataset. The derived QSAR could be useful for the prediction of the eye irritation potential of new or untested chemicals within this category.

Mechanistically based quantitative structure-activity relationships (QSARs) have been developed for some well defined toxic endpoints. Principal components analysis has proved to be a useful technique in visualizing the QSARs and allows ready construction of hypotheses to test. The preferred way of testing the hypotheses is to use in vitro methods: thus integrating the use of QSAR and in vitro methods. Principal components analysis affords a basis for more rational selection of test chemicals to examine the utility of an in vitro method and more specifically the selection of test chemicals to be used in the validation of an in vitro method. This is particularly important in the absence of a large number of chemicals which have been tested in animals. In addition, elucidation of the putative mechanism of action of chemicals allows re-evaluation of the appropriateness of an in vitro method for the precise detection of the toxicity of specific classes of substances and more rational design of in vitro methods with improved powers of prediction.

In vitro human skin permeability coefficient data collected by Flynn (1990) have been analysed using multiple regression analysis. An improved model for the prediction of permeability coefficients has been derived by the inclusion of the melting point as an independent variable in addition to the octanol-water partition coefficient (as logP) and molecular volume. (The solubility of chemicals in water is related to logP and melting point through an algorithm; Suzuki, Journal of Computer-Aided Molecular Design 1991, 5, 149-166.) Examination of the dataset using principal components analysis confirmed that it could be divided into three distinct groups of chemicals-steroids, other pharmacologically active molecules and small molecules. Regression analysis of the individual groups revealed a very high level of correlation with the model for the steroids and small molecules, but a poor correlation for the pharmacologically active molecules. A sub-set of hydrocortisone derivatives within the steroid group had measured permeability coefficients which were around 1.5 orders of magnitude greater than values predicted from the small molecule model. By grouping together the small molecules and the steroids (excluding the hydrocortisone set)-60 molecules-a quantitative structure-activity relationship (QSAR) has been derived for their permeability coefficients which is dependent on logP, molecular volume and melting point, and which explains more than 90% of the variability in the data. Although yet to be tested experimentally, this QSAR is expected to give accurate predictions of in vitro human skin permeability coefficients within the constraints of the dataset.

Quantitative structure activity relationships (QSARs) have been derived relating skin corrosivity data of organic acids, bases and phenols to their log(octanol/water partition coefficient), molecular volume, melting point and pKa. Datasets were analysed using principal components analysis; plots of the first 2 principal components of the above parameters, which broadly model skin permeability and cytotoxicity, for each group of chemicals showed that the analysis was able to discriminate well between corrosive and non-corrosive chemicals. The derived QSARs should be useful for the prediction of the skin corrosivity potential of new or untested chemicals.

There are currently no in vitro methods suitable for the prospective identification of skin sensitizers (contact allergens). Knowledge relating chemical structure to toxicity can be programmed into expert systems. An historical database, containing results of 294 defined single substances tested in the guinea pig maximization test (GPMT) carried out according to a single protocol, has been used to derive a set of structural alerts for skin sensitization. Where possible, the approach used was to group the substances according to their most likely mechanism of reaction with skin proteins. Where no mechanism could be identified, structural alerts were derived empirically for groups of molecules with similar chemical functionality. This process has currently resulted in the production of 40 structure-activity rules which have been incorporated into the expert system DEREK. This system forms an integral part of a strategic approach to the identification of contact allergens.

There are currently no in vitro methods for the identification of skin sensitizers (contact allergens). Knowledge relating chemical structure to toxicity can be programmed into expert systems. An historical database containing results of 294 defined single substances tested in the guinea pig maximization test to a single protocol has been used to derive a set of structural alerts for skin sensitization. Where possible, the approach used was to group the substances according to their most likely mechanism of reaction with skin proteins. Where no mechanism could be identified, structural alerts were derived empirically for groups of molecules with similar chemical functionality. This process has currently resulted in the production of 40 structure-activity rules, which have been incorporated into the expert system DEREK. Rulebases of this type have potential for use as a preliminary screen in toxicological hazard identification and may ultimately lead to a reduction in the use of laboratory animals.

A number of chemicals induce a toxic syndrome in male rats-referred to as alpha(2mu)-globulin nephropathy-that is characterized by an accumulation of the urinary protein alpha(2mu)-globulin in renal lysosomes, subsequent cytotoxicity and cell death. Binding affinity to alpha(2mu)-globulin has been identified as one of the determinants for alpha(2mu)-globulin nephropathy. A quantitative structure-activity relationship (QSAR) has been derived by multiple regression analysis relating this binding to negative charge density of the binding molecule and its molecular volume. Previous data, correlating aliphatic and alicyclic hydrocarbon structures with ability to induce renal lysosome accumulation in male rats, were analysed by the technique of principal components analysis applied to the molecular volumes and principal inertial axes of alcohols predicted to be derived from the hydrocarbons. Mapping of the first and second principal components showed clustering of molecules relative to their biological activity. A combination of the two QSARs is useful in identifying molecules with a potential to cause alpha(2mu)-globulin nephropathy.

The key to determining whether a chemical has the ability to behave as a contact allergen must reside ultimately in the structure and properties of that chemical rather than in the immune system. Quantitative structure-activity relationships (QSARs) have been demonstrated for a small number of series of chemicals in the past, using the relative alkylation index model based on this principle. In the present work, a carefully chosen range of phenyl benzoate esters has been synthesized such that they would have a single mechanism of action but otherwise would span important areas of parameter space-reactivity, skin penetration characteristics and biological response. Computer-based methods of analysis were used to generate a QSAR. The model showed that molecular volume and particularly the calculated logarithm of the partition coefficient (ClogP) were key parameters. Surprisingly, while chemical reactivity is a requirement for skin sensitization, it was not found to be an important variable in the QSAR. In conclusion, the study confirms that within a series of related chemicals it is possible to derive a useful QSAR.

Although many simple chemicals can give rise to the phenomenon of allergic contact dermatitis, it is rare that the mechanism of reaction between the chemical hapten and skin protein is known. A further complication is that metabolic processes may produce substantial changes to a chemical penetrating skin. Thus the skin contactant may be regarded as a prohapten which will give rise to the true hapten in vivo. In this study, the possible reaction mechanisms for a number of related simple aromatic chemicals have been investigated. The approach taken was to evaluate potential reaction mechanisms by assessing the degree to which chemicals could cross-react in sensitization tests. By careful choice of chemicals, it was then possible to confirm (or reject) options. Using this approach, a number of reaction schemes were investigated for eugenol, isoeugenol, dihydroeugenol, anethole and several related chemicals. The patterns of sensitization obtained and the cross-reactions observed indicated clearly that electrophile/nucleophile interactions were unlikely to provide a complete explanation of the sensitization processes. Eugenol and isoeugenol are not mutually cross-reactive, yet both cross-reacted with dihydroeugenol. Examination of the possible reaction mechanisms allows the speculation that eugenol reacts in part via a phenolic radical mechanism, whilst isoeugenol reacts largely via formation of an orthoquinone. Both reaction mechanisms are proposed for dihydroeugenol.

Synopsis Photocontact allergy, an acquired altered reactivity of the skin to light in the presence of a photosensitizer, has for many years been considered to be a delayed-type hypersensitivity. The response has been postulated as being mediated via the formation of a protein-photoallergen conjugate acting as a complete antigen. The purpose of this paper is to bring together evidence at the molecular level which supports this theory of photoallergy. All photoallergens studied so far have been shown to be able to bind to proteins under the influence of ultraviolet light. Photoallergen-protein binding in most cases is non-specific; the exception, that of tetrachlorosalicylanilide (T(4)CS), displays a high specificity towards serum albumin. The mechanism of protein-photoallergen binding is thought to proceed via the formation of highly reactive species such as free radicals. Free radicals have now been observed using electron spin resonance spectroscopy for at least five photoallergens. Macrophage inhibition and lymphocyte transformation experiments have indicated that protein-photoallergen conjugates act as complete antigens. Further evidence for this is provided by the observation that photoconjugates injected into guinea-pigs can induce a photoallergic response in the absence of irradiation. The response produced by T(4)CS-serum albumin conjugates is greater than that produced by any other combination of photoallergen and protein. The potency of the T(4)CS-serum albumin photoconjugate in inducing photoallergy, together with the binding specificity of T(4)CS, suggest that albumin may have a special role as a carrier protein in T(4)CS photoallergy.

An in vitro screening procedure is described whereby potential photoallergens are irradiated with ultraviolet (UV) light in the presence of monomeric human serum albumin. UV spectroscopy before and after irradiation and after passage of the reaction mixture through Sephadex G-10, is used to determine whether or not the test compound has bound to the albumin. Using this method and others employing radiolabelled compounds, nine photoallergens have been shown to bind to protein under the influence of UV light. In contrast, a cinnamate sunscreen, which absorbs UV light but is not a photoallergen, does not bind under these conditions. The method is proposed as an in vitro screening procedure for potential photoallergens.

A simple procedure employing UV spectroscopy is described for testing the ability of chemicals to form covalent conjugates with proteins after irradiation with the appropriate wavelength of light. A range of known photoallergens of widely differing structure has been tested using this procedure; results of these experiments, together with evidence from the scientific literature, provide a correlation between compounds known to be photoallergens and their ability to form covalent conjugates with proteins on irradiation with the appropriate wavelength of light. The method is proposed as an in vitro screening procedure for potential photoallergens.

The light-mediated effects of Rose Bengal and 3,3',4',5-tetrachlorosalicylanilide (T4CS) on porcine erythrocyte membranes have been investigated. Irradiation in the presence of Rose Bengal and oxygen causes extensive destruction of the unsaturated fatty acids of the erythrocyte membrane. This results in a decrease in the membrane flexibility as measured by a nitroxide spin probe. Irradiation in the presence of T4CS and oxygen had no measurable effect on the unsaturated fatty acids or on the membrane flexibility. Irradiation of erythrocyte membranes both in the presence of Rose Bengal and oxygen and of T4CS gave rise to polymerisation of the membrane proteins. This was evident by polyacrylamide gel electrophoresis and by freeze-fracture electron microscopy. Aggregation of membrane proteins could be observed with low levels of Rose Bengal and short irradiation times at which no loss of unsaturated fatty acids could be detected. Irradiation of the n-butanol-extracted apoprotein of porcine erythrocyte membranes both in the presence of Rose Bengal and of T4CS resulted in polymerisation of the protein as measured by gel electrophoresis and electron microscopy. The results obtained from the two photodynamic compounds are compared in terms of their different mechanisms of action on the membrane. The implications of the results in determining the molecular events leading to photohaemolysis are discussed.

The binding site for 3,3',4',5-tetrachlorosalicylanilide (T4CS), a potent photoallergen, on human serum albumin (HSA) was studied by electron spin resonance spectroscopy using a spin-labelled analogue 3,5-dichlorosalicylamido-4-(2,2,6,6-tetramethylpiperidine 1-oxyl) (DCS-TEMPO) of T4CS in the absence of ultraviolet irradiation. DCS-TEMPO bound non-covalently (K = 5.8 X 10(6) M-1) to one major binding site on HSA. This binding site could be blocked by the photochemical binding of T4CS to the protein. Limited tryptic digestion of HSA or chemical modification of its single tryptophan residue with 2-hydroxy-5-nitrobenzyl bromide was found to reduce the binding constant of the T4CS/DCS-TEMPO-binding site. These observations are in good agreement with earlier conclusions on the nature of the T4CS-binding site and suggest a location for this site close to the single tryptophan residue of the HSA molecule.

The relationship between the delta 9-desaturase activity of the psychrophilic bacterium Micrococcus cryophilus grown at different temperatures and the physical state of its membrane lipids as measured by ESR spectroscopy has been studied. Arrhenius plots of desaturase activity were biphasic with a discontinuity at a temperature which depended upon the bacterial growth temperature. Changes in the desaturase activation energy, which increased as the growth temperature was lowered, are discussed in the context of membrane lipid fluidity adaptation to changing environmental temperature. The fluidity of membranes and isolated lipids was measured using nitroxide-labeled fatty acids. The spectra of 2-(10-carboxydecyl)-2-hexyl-4,4-dimethyl-3-oxazolidinoxyl in membranes indicated that there were two lipid environments within the membrane whose relative proportions were dependent both on temperature of measurement and on bacterial growth temperature. In contrast, 2-(3-carboxypropyl)-4,4-dimethyl-2-tridecyl-3-oxazolidinoxyl spectra showed a single lipid environment and plots of log order parameter (S3) vs 1/T were biphasic with inflexion temperatures which were closely related to the bacterial growth temperature. As with membranes, plots of log S3 vs 1/T for total lipids, phosphatidylglycerol and cardiolipin, but not phosphatidylethanolamine, were biphasic and showed inflexions which correlated well with bacterial growth temperature. These results are interpreted as being consistent with a location for the desaturase within the bulk lipid of the membrane rather than in association with specific lipid types.

Synopsis The effect of aqueous solutions of 2-hydroxyacids of chain length C(3) to C(10) on the extensibility of undamaged and solvent-damaged guinea-pig footpad stratum corneum has been studied. The increase in extensibility of solvent-damaged corneum, caused by treatment with hydroxyacid, reached a maximum with 2-hydroxycaprylic acid (C(8)); on undamaged corneum, 2-hydroxycaprylic acid was the only hydroxyacid studied to give a significant effect. The increase in corneum extensibility produced by 2-hydroxyacids decreases when the pH is raised from 3 to 4. This loss of effect correlates with the ionization of the hydroxyacid (pK 3.85). The binding of radiolabelled 2-hydroxycaproic (C(6)) and 2-hydroxycaprylic acids to stratum corneum has been studied. 2-Hydroxycaprylic acid binds much more strongly than 2-hydroxycaproic acid, the difference in the binding being consistent with the hydrophobic binding energy of two methylene groups. Raising the pH above 3.5 results in a large decrease in the binding of 2-hydroxycaprylic acid in line with the corresponding reduction in extensibility. Treatment with 2-hydroxyacids results in a small increase in the water-binding capacity of solvent-damaged stratum corneum, but in a decrease in the water-binding capacity of undamaged stratum corneum. These data are discussed in terms of a possible mechanism for the plasticizing of stratum corneum.

A comparison of the conformation of Folch-Pi apoprotein in organic solvent and in aqueous solutions has been made by ESR, infrared and circular dichroism spectroscopy studies. Electrophoresis and ultracentrifugation have been carried out in order to correlate molecular weight and charge of the molecule with its conformation. It appears that the protein is monomeric in organic solution. In water, only one component is present but the molecules behave as a polydisperse system of associating molecules. Hydrophobic interacitons seem to be important for this polymerisation which does not appear to be accompanied by the formation of beta-structure. After the transfer of the protein from organic solution to water, the ESR spectra of the protein labelled on the free SH groups show an heterogeneity in the motional environment of the label which permits to assume that different areas of association exist in the polymeric molecule.

A spin label analogue of compound 48/80 has been synthesized and its binding to purified rat peritoneal mast cells has been studied by electron spin resonance spectroscopy. The spin label analogue (SL-48/80) had almost identical biological activity to unlabeled compound 48/80. SL-48/80 was used to estimate the number of binding sites per cell on normal mast cells (7.25 X 10(10)), on mast cells deactivated by sodium azide and 2-deoxyglucose or by heating to 46 degrees for 30 min (1 X 10(10)) and cells from animals actively-sensitized to ovalbumin (5.2 X 10(10)). SL-48/80 was also shown to bind to isolated mast cell granules. Differences in the binding properties of mast cells after the different treatments are related to their surface topography as seen by scanning electron microscopy, and the contribution of the granules to the number of binding sites is discussed.

Aqueous solutions (pH = 8) of both 3,3'-dimethyl and 4,4'-dimethyl substituted analogues of the photoallergen fentichlor (bis(2-hydroxy-5-chlorophenyl)sulphide) produced stable semiquinone radicals when irradiated with u.v. light (greater than 310 nm). These radicals have been characterised using electron spin resonance techniques: the results confirm the assignment of hyperfine coupling constants for the parent fentichlor radical. The binding of fentichlor to HSA was found to be partly oxygen dependent demonstrating a role for semiquinone type radicals in the binding mechanism. The stoichiometry and specificity of the binding of the dimethyl analogues to soluble proteins were found to be similar to that of fentichlor itself.