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Biomedical subjects

Michael K Robinson

Publications and source records attributed to Michael K Robinson.

6 recordsLinked to original sources

Comparative assessment of the acute skin irritation potential of detergent formulations using a novel human 4-h patch test method.

Predictive skin irritation test methods, which do not require use of animals, are needed for the pre-market assessment of detergent formulations. The utility of a novel and ethical human acute skin irritation patch test method, originally developed for chemical skin irritation assessment, was evaluated. In this IRB-approved method, subjects were patched under occlusion for increasing periods of time up to 4h in duration. The total incidence of positive skin reactions for test products was compared to a positive control (20% aqueous sodium dodecyl sulfate [SDS]). Acutely irritating formulas were defined as those showing a significantly increased or equal incidence of positive responders compared with that of SDS. The time of exposure required for 50% of subjects to show a positive skin reaction (TR50 value) was calculated for each product and enabled test product comparisons within and between studies. Using this approach, 24 detergent formulations of various types were tested in seven individual studies. The skin irritation profiles were generally consistent within product types, which could be categorized as follows (by decreasing irritancy): mold/mildew removers (average TR50 = 0.37 h) > disinfectants/sanitizers (0.64 h) > fabric softener concentrate (1.09 h) = aluminum wash (1.20 h) > 20% SDS (1.81 h) > liquid laundry detergents (3.48 h) > liquid dish detergents (4.16 h) = liquid fabric softeners (4.56 h) = liquid hand soaps (4.58 h) = shampoos (5.40 h) = hard surface cleaners (6.34 h) > powder automatic dish detergents (>16 h) = powder laundry detergents (>16 h). In addition to formulation effects, some seasonal effects were noted; particularly greater winter-time reactivity to 20% SDS and the hard surface cleaner and liquid laundry formulations. These results demonstrate the utility of this patch test method for the comparative skin irritation assessment of these different product types.

Adult↗

Determination of skin irritation potential in the human 4-h patch test.

Recently adopted legislation in Europe has increased the focus that must be placed on the development of in vitro alternatives to the traditional toxicology tests employed to identify the human health hazards associated with chemicals. Included in these is the rabbit skin-irritation test which is used to discriminate those substances which possess significant acute skin irritation potential from those which are of more limited irritation potential. So far, the considerable efforts to replace this assay with in vitro alternatives have not been successful, which may in part be due to the relatively poor quality of the existing in vivo dataset. To help address this problem, we have elected to present our complete database of information on the skin irritation potential of some 65 substances, all of which have been tested in a standard human 4-h patch test. These provide a high quality dataset, generated in man (the goal of toxicologists' health protection-related activities). The data are presented in the context of results with a concurrent positive skin irritation control to ensure that results from individual experiments can be correlated. Consequently, in vitro or in silico alternatives which can identify the significant acute human skin irritants in this group may well represent suitable alternatives to the rabbit.

Animal Testing Alternatives↗

Population differences in acute skin irritation responses. Race, sex, age, sensitive skin and repeat subject comparisons.

The variability in human skin irritation responses has been well documented and can confound our ability to accurately assess differences in skin reactivity between human subpopulations. In the current analysis, results were compiled from nine acute irritation patch test studies, conducted at three test facilities over a 5-year period. Four irritant test chemicals, 20% sodium dodecyl sulphate, 100% decanol, 100% octanoic acid and 10% acetic acid, were tested in sufficient numbers of test subjects to enable the stratification of results for different human subpopulations. An increased reactivity was noted for Asian versus Caucasian subjects for each of three test chemicals, in contrast to the previously described individual study results from which these data were drawn. Male subjects were directionally or significantly more reactive to each of the test chemicals than female subjects. The oldest age cluster of subjects (56-74 years of age) was directionally or significantly less reactive than younger age clusters. There was virtually identical reactivity between self-assessed 'sensitive' and normal skin groups. Lastly, there was little correlation between the results from individual subjects tested in two or more studies with the same chemicals. These results add to our general understanding of population differences in skin reactivity and the potential implications for ingredient and product skin safety testing and risk assessment.

Acetic Acid↗

A review of the scientific basis for uncertainty factors for use in quantitative risk assessment for the induction of allergic contact dermatitis.

Safety evaluations for chemicals which possess the ability to cause sensitization by skin contact have traditionally been done using an ad hoc comparative risk assessment technique. Recently, several papers have been published supporting the use of an alternative, and potentially better, quantitative risk assessment approach. While they represent a relatively new approach to risk assessment for sensitizers, quantitative methods have been used for decades to support risk assessments for systemic toxicity. Historically, these methods have involved the extrapolation of toxicity data - generally from studies in laboratory animals at relatively high doses to human exposures at lower doses. For toxicity endpoints with a threshold, this process has traditionally involved the use of uncertainty factors. For example, uncertainty factors are commonly used to extrapolate from laboratory animals to humans, and from 'average' humans to sensitive subpopulations. In the absence of data to support a different value, a default factor of 10 is widely accepted for each of these areas. Recent papers have advocated the use of a similar approach to characterize the risk of the induction of skin sensitization by allergens of varying potency and potential for skin contact. As with other forms of toxicity, a quantitative assessment of risk for allergic skin reactions can be approached by identifying a NOAEL (no observed adverse effect level) and applying appropriate uncertainty factors. Three major areas of data extrapolation have been identified: inter-individual susceptibility, the influence of vehicle or product matrix, and exposure considerations. This paper provides an overview of each of these areas with an evaluation of the available scientific database to support an uncertainty factor in the range of 1-10 for each area.

Data Interpretation, Statistical↗

A strategy for skin irritation testing.

Skin irritation safety testing and risk assessment for new products, and the ingredients they contain, is a critical requirement before market introduction. In the past, much of this skin testing required the use of experimental animals. However, new current best approaches for skin corrosion and skin irritation testing and risk assessment are being defined, obviating the need for animal test methods. Several in vitro skin corrosion test methods have been endorsed after successful validation and are gaining acceptance by regulatory authorities. In vitro test methods for acute, cumulative (repeat exposure), and chronic (prolonged exposure) skin irritation are under development. Though not yet validated, many are being used successfully for testing and risk assessment purposes as documented through an expanding literature. Likewise, a novel acute irritation patch test in human subjects is providing a valid and ethical alternative to animal testing for prediction of chemical skin irritation potential. An array of other human test methods also have been developed and used for the prediction of cumulative/chronic skin irritation and the general skin compatibility of finished products. The development of instrumental methods (e.g., transepidermal water loss, capacitance, and so on) has provided the means for analyzing various biophysical properties of human skin and changes in these properties caused by exposure to irritants. However, these methods do not directly measure skin inflammation. A recently introduced skin surface tape sampling procedure has been shown to detect changes in skin surface cytokine recovery that correlate with inflammatory skin changes associated with chemical irritant exposures or existing dermatitis. It holds promise for more objective quantification of skin irritation events, including subclinical (sensory) irritation, in the future.

Animal Testing Alternatives↗

Prediction of skin irritation from organic chemicals using membrane-interaction QSAR analysis.

Membrane-interaction (MI) quantitative structure activity relationship (QSAR) analysis was carried out for a training set of 22 hydroxy organic compounds for which the Draize skin irritation scores, PII, had been determined. Significant MI-QSAR models were constructed in which skin irritation potency is predicted to increase with (1) increasing effective concentration of the compound available for uptake into phospholipid-rich regions of a cellular membrane, (2) increasing binding of the compound to the phospholipid-rich regions of a cellular membrane, and (3) the chemical reactivity of the compound as reflected by the highest occupied molecular orbital (HOMO) and/or lowest unoccupied molecular orbital (LUMO) of the molecule. Overall, the MI-QSAR models constructed for skin irritation are very similar, with respect to the types of descriptors, to those found for eye irritation. In turn, the skin irritation MI-QSAR models suggest a similar molecular mechanism of action to that postulated for eye irritation from MI-QSAR analysis. Significant and predictive QSAR models cannot be constructed unless test compound-membrane interaction descriptors are computed and used to build the QSAR models.

Animal Testing Alternatives↗