York M, Steiling W
SEAC Toxicology Unit, Unilever Research Colworth, Sharnbrook, Bedford, UK.
J Appl Toxicol. 1998 Jul-Aug;18(4):233-40. doi: 10.1002/(sici)1099-1263(199807/08)18:4<233::aid-jat496>3.0.co;2-y.
Traditionally, the eye irritation potential of substances and products has been assessed using the Draize eye test. While this procedure has been criticized in terms of its scientific validity and its ethical acceptability, it remains the only official, government-recognized procedure for predicting the irritant effect of substances in the eye. The relative absence of serious human accidents testifies to the success of the predictions. With the development of alternative non-animal procedures to replace the Draize test, the data generated in the Draize procedure are also being used as a 'gold standard' against which the performance of alternative procedures is measured. The major sources of variability are small group size and inability of existing scoring systems to reflect the complexities of the total in vivo response. In addition, the use of algorithms to simplify the in vivo data (for comparison with in vitro data) also misrepresents the in vivo data. Addressing the above issues would inevitably increase the use of animals. This would go against the general public demand for a reduction in the use of animals. Therefore the issue is to decide upon a simple parameter (for comparison with in vitro data) that encompasses the complexity of the irritation response and accurately reflects irritation without requiring the use of additional test animals. Such a parameter could be the recovery time. In addition, controlled human testing to benchmark the Draize data would be invaluable. The future use of Draize data in the validation of in vitro alternatives is undisputed, but the utility of these data will only be enhanced by a proper understanding of the shortcomings of the Draize test.
传统上,物质和产品的眼刺激潜力是通过Draize眼试验来评估的。尽管该程序在科学有效性和伦理可接受性方面受到了批评,但它仍然是唯一官方认可的、用于预测物质对眼睛刺激作用的程序。相对较少发生严重的人类事故证明了预测的成功。随着替代非动物程序的发展以取代Draize试验,Draize程序中产生的数据也被用作衡量替代程序性能的“金标准”。变异性的主要来源是样本量小以及现有评分系统无法反映体内总体反应的复杂性。此外,使用算法简化体内数据(以便与体外数据进行比较)也会歪曲体内数据。解决上述问题将不可避免地增加动物的使用量。这将违背公众减少动物使用的普遍需求。因此,问题在于确定一个简单的参数(用于与体外数据进行比较),该参数涵盖刺激反应的复杂性并准确反映刺激情况,而无需使用额外的实验动物。这样一个参数可能是恢复时间。此外,进行对照人体试验以对Draize数据进行基准测试将非常有价值。Draize数据在体外替代方法验证中的未来应用是无可争议的,但只有正确理解Draize试验的缺点,这些数据的效用才会得到提高。