Søsted H, Basketter D A, Estrada E, Johansen J D, Patlewicz G Y
The National Allergy Research Centre for Consumer Products, Department of Dermatology, University of Copenhagen, Gentofte Hospital, Denmark.
Contact Dermatitis. 2004 Nov-Dec;51(5-6):241-54. doi: 10.1111/j.0105-1873.2004.00440.x.
Allergic contact dermatitis following the use of hair dyes is well known. Many chemicals are used in hair dyes and it is unlikely that all cases of hair dye allergy can be diagnosed by means of patch testing with p-phenylenediamine (PPD). The objectives of this study are to identify all hair dye substances registered in Europe and to provide their tonnage data. The sensitization potential of each substance was then estimated by using a quantitative structure-activity relationship (QSAR) model and the substances were ranked according to their predicted potency. A cluster analysis was performed in order to help select a number of chemically diverse hair dye substances that could be used in subsequent clinical work. Various information sources, including the Inventory of Cosmetics Ingredients, new regulations on cosmetics, data on total use and ChemId (the Chemical Search Input website provided by the National Library of Medicine), were used in order to identify the names and structures of the hair dyes. A QSAR model, developed with the help of experimental local lymph node assay data and topological sub-structural molecular descriptors (TOPS-MODE), was used in order to predict the likely sensitization potential. Predictions for sensitization potential were made for the 229 substances that could be identified by means of a chemical structure, the majority of these hair dyes (75%) being predicted to be strong/moderate sensitizers. Only 22% were predicted to be weak sensitizers and 3% were predicted to be extremely weak or non-sensitizing. Eight of the most widely used hair dye substances were predicted to be strong/moderate sensitizers, including PPD - which is the most commonly used hair dye allergy marker in patch testing. A cluster analysis by using TOPS-MODE descriptors as inputs helped us group the hair dye substances according to their chemical similarity. This would facilitate the selection of potential substances for clinical patch testing. A patch-test series with potent, frequently used, substances representing various chemical clusters is suggested. This may prove useful in diagnosing PPD-negative patients with symptoms of hair dye allergy and would provide some clinical validation of the QSAR predictions.
使用染发剂后发生的变应性接触性皮炎是众所周知的。染发剂中使用了许多化学物质,通过对对苯二胺(PPD)进行斑贴试验来诊断所有染发剂过敏病例不太可能。本研究的目的是识别在欧洲注册的所有染发剂物质并提供其吨位数据。然后使用定量构效关系(QSAR)模型估计每种物质的致敏潜力,并根据预测的效力对这些物质进行排名。进行聚类分析以帮助选择一些化学性质不同的染发剂物质,用于后续临床工作。为了识别染发剂的名称和结构,使用了各种信息来源,包括化妆品成分清单、化妆品新法规、总使用量数据以及ChemId(美国国立医学图书馆提供的化学搜索输入网站)。借助实验性局部淋巴结试验数据和拓扑亚结构分子描述符(TOPS-MODE)开发的QSAR模型,用于预测可能的致敏潜力。对通过化学结构可以识别的229种物质进行了致敏潜力预测,这些染发剂中的大多数(75%)被预测为强/中度致敏剂。只有22%被预测为弱致敏剂,3%被预测为极弱或无致敏性。八种最常用的染发剂物质被预测为强/中度致敏剂,包括PPD——它是斑贴试验中最常用的染发剂过敏标志物。通过使用TOPS-MODE描述符作为输入进行聚类分析,帮助我们根据化学相似性对染发剂物质进行分组。这将有助于选择用于临床斑贴试验的潜在物质。建议进行一个斑贴试验系列,使用代表各种化学簇的强效、常用物质。这可能对诊断有染发剂过敏症状的PPD阴性患者有用,并将为QSAR预测提供一些临床验证。