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A novel approach for investigation of specific and cross-reactive IgE epitopes on Bet v 1 and homologous food allergens in individual patients.

机译:一种用于研究Bet v 1上的特异性和交叉反应性IgE表位以及各个患者的同源食物过敏原的新颖方法。

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BACKGROUND: A clinically relevant allergic reaction requires recognition of at least two different epitopes on the surface of the allergen by IgE. These epitopes may be specific or cross-reactive. Moreover, patterns of IgE reactivity may be patient-specific. The aim of our study was to compare specific and cross-reactive IgE epitopes and epitope patterns between individual patients. We used Bet v 1-related food allergy as a model. METHODS: Five patients were investigated by cross-competitive ELISA for specific and cross-reacting IgE to Bet v 1, and its homologues Gly m 4 (soybean), Ara h 8 (peanut), and Pru av 1 (cherry). Allergen-specific as well as cross-reactive IgE epitopes were assessed by competitive immunoscreening of a phage-displayed random 7-mer peptide library using polyclonal purified IgE from individual sera. The resulting peptide mimics were mapped on the surface of the 3D-structure of the allergens using a computer-based algorithm. RESULTS: Competitive immunoscreening and epitope mappingidentified patient-specific IgE epitope patterns. However, one IgE-binding surface area that was recognized by all patients and two recognized by three patients were identified on all four proteins. These results are consistent with the determination of IgE cross-reactivity of the individual patients' sera against the four recombinant allergens by cross-competitive ELISA. CONCLUSIONS: Selection of phage-displayed peptide mimics with serum IgE from allergic patients in combination with computer-based mapping of the peptide mimics onto the surface of the three-dimensional allergen structure is a promising novel tool to investigate IgE epitope specificity in individual patients. Such basic information on epitope structure may be used for prediction of cross-reactivity and potential allergenicity of novel foods.
机译:背景:临床相关的过敏反应需要通过IgE识别过敏原表面上的至少两个不同表位。这些表位可以是特异性的或交叉反应的。此外,IgE反应性的模式可能是患者特异性的。我们研究的目的是比较个别患者之间的特异性和交叉反应性IgE表位以及表位模式。我们使用与Bet v 1相关的食物过敏作为模型。方法:通过交叉竞争ELISA对5名患者的Bet v 1及其同系物Gly m 4(大豆),Ara h 8(花生)和Pru av 1(樱桃)的特异性和交叉反应IgE进行了调查。通过使用来自各个血清的多克隆纯化的IgE对噬菌体展示的随机7-mer肽库进行竞争性免疫筛选,评估了过敏原特异性和交叉反应性IgE表位。使用基于计算机的算法,将得到的肽模拟物映射到变应原的3D结构表面。结果:竞争性免疫筛选和抗原决定簇定位确定了患者特异性的IgE抗原决定簇模式。但是,在所有四种蛋白质上均鉴定出了一个被所有患者识别的IgE结合表面积和被三个患者识别的两个IgE结合表面积。这些结果与通过交叉竞争性ELISA确定个别患者血清对四种重组变应原的IgE交叉反应性相一致。结论:从过敏患者中选择具有血清IgE的噬菌体展示肽模拟物,并结合计算机模拟肽模拟物到三维过敏原结构表面,是研究单个患者IgE表位特异性的有前途的新工具。这种有关表位结构的基本信息可用于预测新型食品的交叉反应性和潜在的致敏性。

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