Integrated omics endotyping of infants with respiratory syncytial virus bronchiolitis and risk of childhood asthma
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 end...
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Veröffentlicht in: | Nature communications 2021-06, Vol.12 (1), p.3601-3601, Article 3601 |
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Sprache: | eng |
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Zusammenfassung: | 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) clinical
classic
microbiome
M. nonliquefaciens
inflammation
IFN-intermediate
, B) clinical
atopic
microbiome
S. pneumoniae
/
M. catarrhalis
inflammation
IFN-high
, C) clinical
severe
microbiome
mixed
inflammation
IFN-low
, and D) clinical
non-atopic
microbiome
M.catarrhalis
inflammation
IL-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.
Respiratory syncytial virus (RSV) bronchiolitis during infancy is a major risk factor for asthma development. Here, Raita et al. integrate clinical data with airway microbiome, transcriptome, and metabolome data and identity four endotypes with differential risks for developing asthma. |
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ISSN: | 2041-1723 2041-1723 |
DOI: | 10.1038/s41467-021-23859-6 |