Unknown

Dataset Information

Utilizing centralized biorepository samples for biomarkers of cystic fibrosis lung disease severity.


ABSTRACT:

Background

Circulating biomarkers reflective of lung disease activity and severity have the potential to improve patient care and accelerate drug development in CF. The objective of this study was to leverage banked specimens to test the hypothesis that blood-based biomarkers discriminate CF children segregated by lung disease severity.

Methods

Banked serum samples were selected from children who were categorized into two extremes of phenotype associated with lung function ('mild' or 'severe') based on CF-specific data and were matched on age, gender, CFTR genotype, and P. aeruginosa infection status. Targeted inflammatory proteins, lipids, and discovery metabolite profiles were measured in these serum samples.

Results

The severe cohort, characterized by a lower CF-sp

SUBMITTER: Sagel SD 

PROVIDER: S-EPMC7305052 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature