Abstract：
BACKGROUND: Recent advancements in molecular diagnostics have unveiled a multitude of allergen molecules (AMs) associated with animal sensitizations, revealing significant cross- and co-sensitization patterns among these seemingly distinct allergens.
METHODS: We investigated the sensitization profiles of 120 children, sensitized to at least one of the 14 AMs from cat, dog, or horse using the Alex test, employing correlations and hierarchical clusters to explore relationship between sensitizations.
RESULTS: Sensitizations to Fel d 1, Can f 4/5, and Equ c 4 differ from other cat, dog, and horse AM sensitizations, suggesting they may represent genuine sensitizations for their respective animals. High correlations were observed among various AMs, including lipocalins (Can f 1/2/6, Fel d 4/7, and Equ c 1), serum albumins (Fel d 2, Can f 3, and Equ c 3), and uteroglobins (Fel d 1 and Can f_Fd1). Hierarchical clustering of sensitizations identified two similarity clusters and one dissimilarity cluster, providing an estimation of the likelihood of cross-reactivity. Additionally, our method facilitated speculation regarding cross-, co-, or genuine sensitization. Moreover, we noted a potential increase in the number and level of sensitized animal AMs concurrent with increased sensitization to other aeroallergens with advancing age. No significant difference was detected for the presence or absence of various types of allergic comorbidities.
CONCLUSIONS: Correlations and hierarchical clustering can unveil the extent and magnitude of cross-, co-, and genuine sensitization relationships among animal AMs. These insights can be leveraged to enhance artificial intelligence algorithms, improving diagnostic accuracy through the integration of other measures of sensitization.
METHODS: We investigated the sensitization profiles of 120 children, sensitized to at least one of the 14 AMs from cat, dog, or horse using the Alex test, employing correlations and hierarchical clusters to explore relationship between sensitizations.
RESULTS: Sensitizations to Fel d 1, Can f 4/5, and Equ c 4 differ from other cat, dog, and horse AM sensitizations, suggesting they may represent genuine sensitizations for their respective animals. High correlations were observed among various AMs, including lipocalins (Can f 1/2/6, Fel d 4/7, and Equ c 1), serum albumins (Fel d 2, Can f 3, and Equ c 3), and uteroglobins (Fel d 1 and Can f_Fd1). Hierarchical clustering of sensitizations identified two similarity clusters and one dissimilarity cluster, providing an estimation of the likelihood of cross-reactivity. Additionally, our method facilitated speculation regarding cross-, co-, or genuine sensitization. Moreover, we noted a potential increase in the number and level of sensitized animal AMs concurrent with increased sensitization to other aeroallergens with advancing age. No significant difference was detected for the presence or absence of various types of allergic comorbidities.
CONCLUSIONS: Correlations and hierarchical clustering can unveil the extent and magnitude of cross-, co-, and genuine sensitization relationships among animal AMs. These insights can be leveraged to enhance artificial intelligence algorithms, improving diagnostic accuracy through the integration of other measures of sensitization.
摘要：
背景：分子诊断的最新进展揭示了许多与动物致敏相关的过敏原分子（AM），揭示了这些看似不同的过敏原之间的显著交叉和共致敏模式。
方法：我们调查了120名儿童的致敏情况，对来自猫的14种AM中的至少一种敏感，狗,或者使用亚历克斯测试的马，采用相关性和层次聚类来探索敏化之间的关系。
结果：对Feld1，Canf4/5和Equc4的敏感性与其他猫不同，狗,和马AM致敏剂，这表明它们可能代表了对各自动物的真正敏感。在各种AM之间观察到高度相关，包括脂质运载蛋白(Canf1/2/6、Feld4/7和Equc1)，血清白蛋白(Feld2、Canf3和Equc3)，和子宫球蛋白（Feld1和Canf_Fd1）。敏感的层次聚类确定了两个相似性聚类和一个相异聚类，提供交叉反应可能性的估计。此外,我们的方法促进了关于交叉的猜测，co-,或真正的敏感。此外，我们注意到,随着年龄的增长,致敏动物AMs的数量和水平可能会增加,同时对其他空气过敏原的致敏作用也会增加.对于各种类型的过敏性合并症的存在或不存在，未检测到显着差异。
结论：相关性和层次聚类可以揭示交叉的程度和大小，co-,和动物AM之间真正的敏化关系。这些见解可以用来增强人工智能算法，通过整合其他致敏措施提高诊断准确性。
方法：我们调查了120名儿童的致敏情况，对来自猫的14种AM中的至少一种敏感，狗,或者使用亚历克斯测试的马，采用相关性和层次聚类来探索敏化之间的关系。
结果：对Feld1，Canf4/5和Equc4的敏感性与其他猫不同，狗,和马AM致敏剂，这表明它们可能代表了对各自动物的真正敏感。在各种AM之间观察到高度相关，包括脂质运载蛋白(Canf1/2/6、Feld4/7和Equc1)，血清白蛋白(Feld2、Canf3和Equc3)，和子宫球蛋白（Feld1和Canf_Fd1）。敏感的层次聚类确定了两个相似性聚类和一个相异聚类，提供交叉反应可能性的估计。此外,我们的方法促进了关于交叉的猜测，co-,或真正的敏感。此外，我们注意到,随着年龄的增长,致敏动物AMs的数量和水平可能会增加,同时对其他空气过敏原的致敏作用也会增加.对于各种类型的过敏性合并症的存在或不存在，未检测到显着差异。
结论：相关性和层次聚类可以揭示交叉的程度和大小，co-,和动物AM之间真正的敏化关系。这些见解可以用来增强人工智能算法，通过整合其他致敏措施提高诊断准确性。
