A robust method for the estimation and visualization of IgE cross-reactivity likelihood between allergens belonging to the same protein family.
A robust method for the estimation and visualization of IgE cross-reactivity likelihood between allergens belonging to the same protein family.
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DOI：
10.1371/journal.pone.0208276
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发表时间：
2018
期刊：
影响因子：
3.7
通讯作者：
Kowal K
中科院分区：
文献类型：
--
作者：
Chruszcz M;Kapingidza AB;Dolamore C;Kowal K
在大量已鉴定的蛋白质家族中，过敏原源自相对较少的家族，这意味着仅占已鉴定蛋白质家族的一小部分。在过敏诊断和免疫治疗中，免疫球蛋白 E 和过敏原之间的相互作用至关重要，因为过敏原-抗体复合物的形成对于触发过敏反应是必要的。在过敏性疾病中，存在一种称为交叉反应的现象。交叉反应描述了一种情况，其中个体产生了针对特定过敏性蛋白质的抗体，但所述抗体无法区分原始致敏剂和通常属于同一家族的其他类似蛋白质。为了阐明交叉反应性的概念，本研究检查了十个蛋白质家族，其中包括专门为交叉反应性分析而选择的过敏原。选定的过敏原家族至少有 13 种代表性蛋白质，家族之间的总体折叠差异显着，并且包括具有不同效力的相关过敏原。使用家庭成员之间序列相似性和同一性的信息以及临床相关交叉反应的报告对选定的过敏原进行分析。根据我们的分析，我们建议引入一个新的 A-RISC 指数（过敏原的相对同一性、相似性和交叉反应性），该指数描述属于同一蛋白质家族的两种过敏原之间的同源性，并用于预测它们之间交叉反应性的可能性。关于序列相似性和同一性的信息以及关于所提议的 A-RISC 指数值的信息用于引入描述交叉反应反应风险的四个类别，即：高、中高、中低和低。所提出的方法可以促进成分解析过敏诊断的分析，为过敏个体生成避免指南，并帮助设计免疫疗法。
Among the vast number of identified protein families, allergens emanate from relatively few families which translates to only a small fraction of identified protein families. In allergy diagnostics and immunotherapy, interactions between immunoglobulin E and allergens are crucial because the formation of an allergen-antibody complex is necessary for triggering an allergic reaction. In allergic diseases, there is a phenomenon known as cross-reactivity. Cross-reactivity describes a situation where an individual has produced antibodies against a particular allergenic protein, but said antibodies fail to discriminate between the original sensitizer and other similar proteins that usually belong to the same family. To expound the concept of cross-reactivity, this study examines ten protein families that include allergens selected specifically for the analysis of cross-reactivity. The selected allergen families had at least 13 representative proteins, overall folds that differ significantly between families, and include relevant allergens with various potencies. The selected allergens were analyzed using information on sequence similarities and identities between members of the families as well as reports on clinically relevant cross-reactivities. Based on our analysis, we propose to introduce a new A-RISC index (Allergens’–Relative Identity, Similarity and Cross-reactivity) which describes homology between two allergens belonging to the same protein family and is used to predict the likelihood of cross-reactivity between them. Information on sequence similarities and identities, as well as on the values of the proposed A-RISC index is used to introduce four categories describing a risk of a cross-reactive reaction, namely: high, medium-high, medium-low and low. The proposed approach can facilitate analysis in component-resolved allergy diagnostics, generation of avoidance guidelines for allergic individuals, and help with the design of immunotherapy.
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