Hoang Jennifer A, Celik Alper, Lupinek Christian, Valenta Rudolf, Duan Lucy, Dai Ruixue, Brydges May G, Dubeau Aimée, Lépine Claire, Wong Samantha, Alexanian-Farr Mara, Magder Ahuva, Subbarao Padmaja, Upton Julia E M, Schmidthaler Klara, Szépfalusi Zsolt, Ramani Arun, Eiwegger Thomas
Translational Medicine Program, Research Institute, Hospital for Sick Children, Toronto, ON, Canada.
Centre for Computational Medicine, Hospital for Sick Children, Toronto, ON, Canada.
Allergy. 2021 Mar;76(3):831-841. doi: 10.1111/all.14529. Epub 2020 Aug 16.
Multiplex tests allow for measurement of allergen-specific IgE responses to multiple extracts and molecular allergens and have several advantages for large cohort studies. Due to significant methodological differences, test systems are difficult to integrate in meta-analyses/systematic reviews since there is a lack of datasets with direct comparison. We aimed to create models for statistical integration of allergen-specific IgE to peanut/tree nut allergens from three IgE test platforms.
Plasma from Canadian and Austrian children/adolescents with peanut/tree nut sensitization and a cohort of sensitized, high-risk, pre-school asthmatics (total n = 166) were measured with three R&D multiplex IgE test platforms: Allergy Explorer version 1 (ALEX) (Macro Array Dx), MeDALL-chip (Mechanisms of Development of Allergy) (Thermo Fisher), and EUROLINE (EUROIMMUN). Skin prick test (n = 51) and ImmunoCAP (Thermo Fisher) (n = 62) results for extracts were available in a subset. Regression models (Multivariate Adaptive Regression Splines, local polynomial regression) were applied if >30% of samples were positive to the allergen. Intra-test correlations between PR-10 and nsLTP allergens were assessed.
Using two regression methods, we demonstrated the ability to model allergen-specific relationships with acceptable measures of fit (r = 94%-56%) for peanut and tree nut sIgE testing at the extract and molecular-level, in order from highest to lowest: Ara h 2, Ara h 6, Jug r 1, Ana o 3, Ara h 1, Jug r 2, and Cor a 9.
Our models support the notion that quantitative conversion is possible between sIgE multiplex platforms for extracts and molecular allergens and may provide options to aggregate data for future meta-analysis.
多重检测可测量对多种提取物和分子变应原的变应原特异性IgE反应，对大型队列研究具有多个优势。由于存在显著的方法学差异，检测系统难以纳入荟萃分析/系统评价，因为缺乏可直接比较的数据集。我们旨在创建模型，用于对来自三个IgE检测平台的花生/坚果变应原特异性IgE进行统计整合。
使用三个研发中的多重IgE检测平台对来自加拿大和奥地利的对花生/坚果致敏的儿童/青少年以及一组致敏的高危学龄前哮喘患者（共166例）的血浆进行检测：Allergy Explorer版本1（ALEX）（Macro Array Dx）、MeDALL芯片（变应性疾病发生机制）（赛默飞世尔）和EUROLINE（欧盟免疫）。一部分样本可获得提取物的皮肤点刺试验（n = 51）和免疫捕获法（赛默飞世尔）（n = 62）结果。如果>30%的样本对变应原呈阳性，则应用回归模型（多元自适应回归样条、局部多项式回归）。评估PR-10和nsLTP变应原之间的检测内相关性。
使用两种回归方法，我们证明了能够在提取物和分子水平上对花生和坚果sIgE检测建立变应原特异性关系模型，拟合度可接受（r = 94%-56%），从高到低依次为：Ara h 2、Ara h 6、Jug r 1、Ana o 3、Ara h 1、Jug r 2和Cor a 9。
我们的模型支持这样一种观点，即对于提取物和分子变应原，sIgE多重平台之间可以进行定量转换，并且可能为未来荟萃分析汇总数据提供选择。
