Johnson R, Macina O T, Graham C, Rosenkranz H S, Cass G R, Karol M H
Environmental Engineering Science Department, California Institute of Technology, Pasadena, CA 91125, USA.
Environ Health Perspect. 1997 Sep;105(9):986-92. doi: 10.1289/ehp.97105986.
Organic compounds that are used or generated anthropogenically in large quantities in cities can be identified through their presence in the urban atmosphere and in air pollutant source emissions. Compounds identified by this method were screened to evaluate their potential to act as contact allergens. The CASE and MULTICASE computer programs, which are based on the detection of structure-activity relationships (SAR), were used to evaluate this potential. These relationships first are determined by comparing chemical structures to biological activity within a learning set comprised of 458 compounds, each of which had been tested experimentally in human trials for its sensitization potential. Using the information contained in this learning set, CASE and MULTICASE predicted the activity of 238 compounds found in the atmosphere for their ability to act as contact allergens. The analysis finds that 21 of 238 compounds are predicted to be active contact allergens (probability >0.5), with potencies ranging from mild to very strong. The compounds come from chemical classes that include chlorinated aromatics and chlorinated hydrocarbons, N-containing compounds, phenols, alkenes, and an S-containing compound. Using the measured airborne concentrations or emission rates of these compounds as an indication of the extent of their use, together with their predicted potencies, provides an efficient method to prioritize the experimental assessment of contact sensitization of untested organic compounds that can be detected as air pollutants.
城市中大量人为使用或产生的有机化合物可通过其在城市大气和空气污染物源排放中的存在来识别。通过这种方法识别出的化合物经过筛选,以评估其作为接触性过敏原的潜力。基于结构-活性关系(SAR)检测的CASE和MULTICASE计算机程序被用于评估这种潜力。这些关系首先通过在由458种化合物组成的学习集中比较化学结构和生物活性来确定,每种化合物都已在人体试验中对其致敏潜力进行了实验测试。利用该学习集中包含的信息,CASE和MULTICASE预测了大气中发现的238种化合物作为接触性过敏原的活性。分析发现,238种化合物中有21种被预测为活性接触性过敏原(概率>0.5),效力范围从轻度到非常强。这些化合物来自包括氯化芳烃和氯代烃、含氮化合物、酚类、烯烃和一种含硫化合物在内的化学类别。利用这些化合物的实测空气浓度或排放速率作为其使用程度的指标,结合其预测效力,提供了一种有效的方法来优先对可作为空气污染物检测到的未测试有机化合物的接触致敏实验评估进行排序。