通过图形和流形分析探索过敏致敏和哮喘的时间相互作用
2025/04/06
摘要
背景：过敏致敏与哮喘之间的关联已被充分证实，但其在哮喘中的确切作用尚不确定。成分解析诊断可以详细评估IgE对多种过敏原分子（c-sIgE）的敏感性。
目的：本研究应用前沿网络嵌入技术，旨在研究多种c-sIgE的时间发展动态，并确定哮喘相关网络。
方法：本研究基于人群出生队列，采用多重阵列在婴儿期到青春期的6个时间点测量了112种蛋白质c-sIgE。本研究在各c-sIgEs之间建立了加权共现网络，以研究不同年龄段的连接结构。本研究采用图嵌入和降维技术，用以识别网络相似/发散的关键时期。通过比较不同年龄有无哮喘的受试者之间的网络发展结构，分析其拓扑特征以比较网络结构。
结果：不同年龄段的c-sIgEs致敏网络显示出显著、持续的进化，而非突变，5岁和8岁的网络非常相似。哮喘患者始终表现出更复杂和相互关联的c-sIgEs网络，且随年龄增长更加明显。图形嵌入显示，哮喘患者和非哮喘患者特征不同，且差异存在于不同年龄段。特定c-sIgEs及其相互作用是造成差异的原因。哮喘和非哮喘致敏个体的网络拓扑特征具有年龄依赖性。
结论：在整个儿童期，哮喘和非哮喘患者之间c-sIgE网络的差异是一致的。因此，在开发哮喘诊断/预测的解释算法时需考虑年龄。
Exploring the Temporal Interplay of Allergic Sensitization and Asthma via Graph and Manifold Analysis.
Cucco A, Simpson A, Murray C, Custovic A, Fontanella S.
Abstract
BACKGROUND:The association between allergic sensitization and asthma is well-documented, but its precise role in asthma remains uncertain. Component-resolved diagnostics allows detailed assessment of IgE-sensitization to multiple allergenic molecules (c-sIgE).
OBJECTIVE:We applied advanced network embedding techniques to investigate the dynamics of temporal development of multiple c-sIgE and identify networks associated with asthma.
METHODS:In a population-based birth cohort, we measured c-sIgE to 112 proteins using multiplex array at 6 time-points from infancy to adolescence. We built weighted co-occurrence networks between c-sIgEs to investigate connectivity structures at different ages. To identify critical periods where networks are similar/divergent, we applied Graph embedding and dimensionality reduction techniques. We then compared network development structure between subjects with and without asthma at different ages, and analyzed topological features to compare network structures.
RESULTS:c-sIgEs sensitization networks across ages revealed significant changes and a continuous evolution rather than abrupt shifts, with networks at ages 5 and 8 being very similar. Individuals with asthma consistently exhibited more complex and interconnected networks of c-sIgEs, which became more pronounced with age. Graph embedding showed that while profiles of those with and without asthma were distinct and the separation persisted across ages. A specific set of c-sIgEs and their interactions was responsible for this distinction. Topological features of networks which distinguished between sensitized individuals with and without asthma were age dependent.
CONCLUSION:The differences in c-sIgE networks between subjects with and without asthma are consistently observed throughout childhood. Age needs to be considered when developing interpretation algorithms for asthma diagnosis/prediction.
背景：过敏致敏与哮喘之间的关联已被充分证实，但其在哮喘中的确切作用尚不确定。成分解析诊断可以详细评估IgE对多种过敏原分子（c-sIgE）的敏感性。
目的：本研究应用前沿网络嵌入技术，旨在研究多种c-sIgE的时间发展动态，并确定哮喘相关网络。
方法：本研究基于人群出生队列，采用多重阵列在婴儿期到青春期的6个时间点测量了112种蛋白质c-sIgE。本研究在各c-sIgEs之间建立了加权共现网络，以研究不同年龄段的连接结构。本研究采用图嵌入和降维技术，用以识别网络相似/发散的关键时期。通过比较不同年龄有无哮喘的受试者之间的网络发展结构，分析其拓扑特征以比较网络结构。
结果：不同年龄段的c-sIgEs致敏网络显示出显著、持续的进化，而非突变，5岁和8岁的网络非常相似。哮喘患者始终表现出更复杂和相互关联的c-sIgEs网络，且随年龄增长更加明显。图形嵌入显示，哮喘患者和非哮喘患者特征不同，且差异存在于不同年龄段。特定c-sIgEs及其相互作用是造成差异的原因。哮喘和非哮喘致敏个体的网络拓扑特征具有年龄依赖性。
结论：在整个儿童期，哮喘和非哮喘患者之间c-sIgE网络的差异是一致的。因此，在开发哮喘诊断/预测的解释算法时需考虑年龄。
（中日友好医院呼吸与危重症医学科 张婧媛 摘译 林江涛 审校）
（J Allergy Clin Immunol. 2025 Feb 19:S0091-6749(25)00208-8.）
Exploring the Temporal Interplay of Allergic Sensitization and Asthma via Graph and Manifold Analysis.
Cucco A, Simpson A, Murray C, Custovic A, Fontanella S.
Abstract
BACKGROUND:The association between allergic sensitization and asthma is well-documented, but its precise role in asthma remains uncertain. Component-resolved diagnostics allows detailed assessment of IgE-sensitization to multiple allergenic molecules (c-sIgE).
OBJECTIVE:We applied advanced network embedding techniques to investigate the dynamics of temporal development of multiple c-sIgE and identify networks associated with asthma.
METHODS:In a population-based birth cohort, we measured c-sIgE to 112 proteins using multiplex array at 6 time-points from infancy to adolescence. We built weighted co-occurrence networks between c-sIgEs to investigate connectivity structures at different ages. To identify critical periods where networks are similar/divergent, we applied Graph embedding and dimensionality reduction techniques. We then compared network development structure between subjects with and without asthma at different ages, and analyzed topological features to compare network structures.
RESULTS:c-sIgEs sensitization networks across ages revealed significant changes and a continuous evolution rather than abrupt shifts, with networks at ages 5 and 8 being very similar. Individuals with asthma consistently exhibited more complex and interconnected networks of c-sIgEs, which became more pronounced with age. Graph embedding showed that while profiles of those with and without asthma were distinct and the separation persisted across ages. A specific set of c-sIgEs and their interactions was responsible for this distinction. Topological features of networks which distinguished between sensitized individuals with and without asthma were age dependent.
CONCLUSION:The differences in c-sIgE networks between subjects with and without asthma are consistently observed throughout childhood. Age needs to be considered when developing interpretation algorithms for asthma diagnosis/prediction.
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