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Dataset Information

Proteomics endotyping of infants with severe bronchiolitis and risk of childhood asthma.


ABSTRACT:

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

SUBMITTER: Ooka T 

PROVIDER: S-EPMC9617778 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature