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M D Barratt

Publications and source records attributed to M D Barratt.

At least 19 recordsLinked to original sources
PubMed2001

The computational prediction of toxicity.

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.

Carcinogens↗
PubMed2001

Studies of the chemical selectivity of hapten, reactivity, and skin sensitization potency. 1. Synthesis and studies on the reactivity toward model nucleophiles of the (13)C-labeled skin sensitizers hex-1-ene- and hexane-1,3-sultones.

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.

Butylamines↗
PubMed2001

Studies of the chemical selectivity of hapten, reactivity, and skin sensitization potency. 2. nmr studies of the covalent binding of the (13)c-labeled skin sensitizers 2-[13C]- and 3-[13C]hex-1-ene- and 3-[13C]hexane-1,3-sultones to human serum albumin.

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.

Acetylation↗
PubMed2000

Comparison of an in vitro cellular phototoxicity model against controlled clinical trials of fluoroquinolone skin phototoxicity.

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.

Animals↗
PubMed2000

A QSAR model for the eye irritation of cationic surfactants.

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.

Animals↗
PubMed2000

Development of an expert system rulebase for the prospective identification of photoallergens.

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.

Allergens↗
PubMed2000

Prediction of toxicity from chemical structure.

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.

Animals↗
PubMed1998

Integrating computer prediction systems with in vitro methods towards a better understanding of toxicology.

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.

Animal Testing Alternatives↗
PubMed1998

Skin irritation potential of mixed surfactant systems.

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.

Betaine↗
PubMed1998

Integration of QSAR and in vitro toxicology.

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.

Animal Testing Alternatives↗
PubMed1996

Computer prediction of possible toxic action from chemical structure: an update on the DEREK system.

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.

Animal Testing Alternatives↗
PubMed1995

An alternative strategy to the use of guinea pigs for the identification of skin sensitization hazard.

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.

Animal Testing Alternatives↗
PubMed1995

Quantitative structure activity relationships for skin corrosivity of organic acids, bases and phenols.

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.

Carboxylic Acids↗
PubMed1995

A quantitative structure-activity relationship for the eye irritation potential of neutral organic chemicals.

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.

Animal Testing Alternatives↗
PubMed1992

Possible origin of the skin sensitization potential of isoeugenol and related compounds. (I). Preliminary studies of potential reaction mechanisms.

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.

Allylbenzene Derivatives↗
PubMed1989

The photochemical binding of bithionol to soluble proteins and peptides.

The photochemical reactions of the bacteriocide bithionol (a known photoallergen in man) with soluble proteins and peptides, were investigated. Solutions of human serum albumin (HSA), human gamma-globulin, bovine insulin and poly-L-lysine were irradiated with ultraviolet light of wavelength 313 nm in the presence of [35S]-bithionol and the extent of photochemical (covalent) binding determined. HSA bound at least four molecules of bithionol per molecule of HSA. Bithionol was also found to bind to gamma-globulin to a similar extent; lower levels of binding were achieved with bovine insulin and poly-L-lysine. A bithionol-HSA photoadduct was treated with cyanogen bromide to determine the selectivity of binding. Fractionation after cyanogen bromide treatment showed that bithionol was bound to both major fragments of HSA, with a preference for the N-terminal region of the protein.

Bithionol↗
PubMed1989

Radicals involved in photoallergen/protein interactions.

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.

Anti-Infective Agents, Local↗