• Scott D Sagel, Brandie D Wagner, Margaret M Anthony, Peggy Emmett, and Edith T Zemanick.
• Children's Hospital Colorado, 13123 E. 16th Avenue, Aurora, CO 80045, USA. scott.sagel@childrenscolorado.org
• Am. J. Respir. Crit. Care Med. 2012 Nov 1; 186 (9): 857865857-65.

RationaleProgressive lung function decline is a defining feature of cystic fibrosis (CF). Because airway inflammation plays a central role in CF lung disease, inflammatory biomarkers that can be used to monitor disease activity would be valuable.ObjectivesExamine longitudinal relationships between sputum biomarkers and lung function.MethodsIn this prospective, longitudinal cohort study, sputum induction was performed annually over 3 years in 35 children with CF. Sputum was assayed for mediators related to proteolysis and a panel of inflammatory cytokines.Measurements And Main ResultsSputum neutrophil elastase, tissue inhibitor of metalloproteinase-1, and TNF-α increased over time, whereas neutrophil elastase antiprotease complexes (NEAPCs) and secretory leukoprotease inhibitor (SLPI) significantly decreased over time. Higher detectable baseline neutrophil elastase was associated with more rapid lung function decline. Similar results for neutrophil elastase were observed in a validation cohort. When categorizing subjects as "rapid" or "slow" decliners, logistic regression demonstrated that the initial measurement of neutrophil elastase had the highest individual predictive value for subsequent lung function decline, whereas neutrophil elastase, IL-8, and IL-6 had the highest combined predictive value. Lung function decline was associated with increases in neutrophil counts, neutrophil elastase, and IL-1β and declines in NEAPCs and SLPI.ConclusionsIn children with CF, a single determination of sputum biomarkers, particularly neutrophil elastase, has predictive value for subsequent lung function decline, and longitudinal changes in sputum inflammatory biomarkers are related to lung function changes. Based on our results, sputum neutrophil elastase was the most informative biomarker to monitor disease activity.

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