Abstract：
The demand for botanicals and natural substances in consumer products has increased in recent years. These substances usually contain proteins and these, in turn, can pose a risk for immunoglobulin E (IgE)-mediated sensitization and allergy. However, no method has yet been accepted or validated for assessment of potential allergenic hazards in such materials. In the studies here, a dual proteomic-bioinformatic approach is proposed to evaluate holistically allergenic hazards in complex mixtures of plants, insects, or animal proteins. Twelve commercial preparations of source materials (plant products, dust mite extract, and preparations of animal dander) known to contain allergenic proteins were analyzed by label-free proteomic analyses to identify and semi-quantify proteins. These were then evaluated by bioinformatics using AllerCatPro 2.0 (https://allercatpro.bii.a-star.edu.sg/) to predict no, weak, or strong evidence for allergenicity and similarity to source-specific allergens. In total, 4,586 protein sequences were identified in the 12 source materials combined. Of these, 1,665 sequences were predicted with weak or strong evidence for allergenic potential. This first-tier approach provided top-level information about the occurrence and abundance of proteins and potential allergens. With regards to source-specific allergens, 129 allergens were identified. The sum of the relative abundance of these allergens ranged from 0.8% (lamb\'s quarters) to 63% (olive pollen). It is proposed here that this dual proteomic-bioinformatic approach has the potential to provide detailed information on the presence and relative abundance of allergens, and can play an important role in identifying potential allergenic hazards in complex protein mixtures for the purposes of safety assessments.
摘要：
近年来，消费品中对植物药和天然物质的需求有所增加。这些物质通常含有蛋白质，反过来,可能会导致免疫球蛋白E（IgE）介导的致敏和过敏。然而,尚未接受或验证评估此类材料中潜在致敏危险的方法。在这里的研究中，提出了一种双重蛋白质组学-生物信息学方法来评估植物复杂混合物中的整体过敏危害，昆虫,或动物蛋白质。12种原料的商业制剂(植物产品，尘螨提取物，和已知含有变应原性蛋白质的动物皮屑的制剂）通过无标记蛋白质组学分析来鉴定和半定量蛋白质。然后使用AllerCatPro2.0(https://allercatpro)通过生物信息学评估这些。bii.A星。edu.sg/)预测否，弱,或强有力的证据表明过敏原性和与来源特异性过敏原的相似性。总的来说,在组合的12种来源材料中鉴定了4,586种蛋白质序列。其中,预测1,665个序列具有弱或强的变应原潜能的证据。这种第一层方法提供了有关蛋白质和潜在过敏原的发生和丰度的顶级信息。关于特定来源的过敏原，已鉴定出129种过敏原。这些过敏原的相对丰度的总和范围从0.8%(羔羊的四分之一)到63%(橄榄花粉)。这里提出，这种双重蛋白质组学-生物信息学方法有可能提供有关过敏原存在和相对丰度的详细信息，并且可以在识别复杂蛋白质混合物中潜在的过敏危害以进行安全性评估方面发挥重要作用。
