毛细支气管炎
内型
医学
哮喘
鼻病毒
前瞻性队列研究
免疫学
儿科
内科学
作者
Tadao Ooka,Yoshihiko Raita,Michimasa Fujiogi,Robert J. Freishtat,Robert E. Gerszten,Jonathan M. Mansbach,Zhaozhong Zhu,Carlos A. Camargo,Kohei Hasegawa
出处
期刊:Allergy
[Wiley]
日期:2022-05-27
摘要
Background Bronchiolitis is the leading cause of hospitalization in U.S. infants and a major risk factor for childhood asthma. Growing evidence supports clinical heterogeneity within bronchiolitis. We aimed to identify endotypes of infant bronchiolitis by integrating clinical, virus, and serum proteome data, and examine their relationships with asthma development. Methods This is a multicenter prospective cohort study of infants hospitalized for physician-diagnosis of bronchiolitis. We identified bronchiolitis endotypes by applying unsupervised machine learning (clustering) approaches to integrated clinical, virus (respiratory syncytial virus [RSV], rhinovirus [RV]), and serum proteome data measured at hospitalization. We then examined their longitudinal association with the risk for developing asthma by age 6 years. Results In 140 infants hospitalized with bronchiolitis, we identified three endotypes: (1) clinicalatopicvirusRVproteomeNFκB-dysregulated, (2) clinicalnon-atopicvirusRSV/RVproteomeTNF-dysregulated, and (3) clinicalclassicvirusRSVproteomeNFκB/TNF-regulated endotypes. Endotype 1 infants were characterized by high proportion of IgE sensitization and RV infection. These endotype 1 infants also had dysregulated NFκB pathways (FDR < 0.001) and significantly higher risks for developing asthma (53% vs. 22%; adjOR 4.04; 95% CI, 1.49–11.0; p = 0.006), compared with endotype 3 (clinically resembling “classic” bronchiolitis). Likewise, endotype 2 infants were characterized by low proportion of IgE sensitization and high proportion of RSV or RV infection. These endotype 2 infants had dysregulated tumor necrosis factor (TNF)-mediated signaling pathway (FDR <0.001) and significantly higher risks for developing asthma (44% vs. 22%; adjOR 2.71; 95% CI, 1.03–7.11, p = 0.04). Conclusion In this multicenter cohort, integrated clustering of clinical, virus, and proteome data identified biologically distinct endotypes of bronchiolitis that have differential risks of asthma development.
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