Identifying biomarkers for asthma diagnosis using targeted metabolomics approaches.

ABSTRACT:

Background

The diagnosis of asthma in children is challenging and relies on a combination of clinical factors and biomarkers including methacholine challenge, lung function, bronchodilator responsiveness, and presence of airway inflammation. No single test is diagnostic. We sought to identify a pattern of inflammatory biomarkers that was unique to asthma using a targeted metabolomics approach combined with data science methods.

Methods

We conducted a nested case-control study of 100 children living in a peri-urban community in Lima, Peru. We defined cases as children with current asthma, and controls as children with no prior history of asthma and normal lung function. We further categorized enrollment following a factorial design to enroll equal numbers of children as eithe

SUBMITTER: Checkley W 

PROVIDER: S-EPMC5516646 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature