Integrated omics endotyping of infants with respiratory syncytial virus bronchiolitis and risk of childhood asthma.
Yoshihiko RaitaMarcos Pérez-LosadaRobert J FreishtatBrennan HarmonJonathan M MansbachPedro A PiedraZhaozhong ZhuCarlos Arturo CamargoKohei HasegawaPublished in: Nature communications (2021)
Respiratory syncytial virus (RSV) bronchiolitis is not only the leading cause of hospitalization in U.S. infants, but also a major risk factor for asthma development. While emerging evidence suggests clinical heterogeneity within RSV bronchiolitis, little is known about its biologically-distinct endotypes. Here, we integrated clinical, virus, airway microbiome (species-level), transcriptome, and metabolome data of 221 infants hospitalized with RSV bronchiolitis in a multicentre prospective cohort study. We identified four biologically- and clinically-meaningful endotypes: A) clinicalclassicmicrobiomeM. nonliquefaciensinflammationIFN-intermediate, B) clinicalatopicmicrobiomeS. pneumoniae/M. catarrhalisinflammationIFN-high, C) clinicalseveremicrobiomemixedinflammationIFN-low, and D) clinicalnon-atopicmicrobiomeM.catarrhalisinflammationIL-6. Particularly, compared with endotype A infants, endotype B infants-who are characterized by a high proportion of IgE sensitization and rhinovirus coinfection, S. pneumoniae/M. catarrhalis codominance, and high IFN-α and -γ response-had a significantly higher risk for developing asthma (9% vs. 38%; OR, 6.00: 95%CI, 2.08-21.9; P = 0.002). Our findings provide an evidence base for the early identification of high-risk children during a critical period of airway development.
Keyphrases
- respiratory syncytial virus
- chronic obstructive pulmonary disease
- lung function
- single cell
- clinical trial
- young adults
- allergic rhinitis
- immune response
- randomized controlled trial
- machine learning
- study protocol
- dendritic cells
- electronic health record
- rna seq
- dna methylation
- bioinformatics analysis
- childhood cancer