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Usage Information

The role for neutrophil extracellular traps in cystic fibrosis autoimmunity
Sladjana Skopelja, B. JoNell Hamilton, Jonathan D. Jones, Mei-Ling Yang, Mark Mamula, Alix Ashare, Alex H. Gifford, William F.C. Rigby
Sladjana Skopelja, B. JoNell Hamilton, Jonathan D. Jones, Mei-Ling Yang, Mark Mamula, Alix Ashare, Alex H. Gifford, William F.C. Rigby
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Research Article Immunology

The role for neutrophil extracellular traps in cystic fibrosis autoimmunity

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Abstract

While respiratory failure in cystic fibrosis (CF) frequently associates with chronic infection by Pseudomonas aeruginosa, no single factor predicts the extent of lung damage in CF. To elucidate other causes, we studied the autoantibody profile in CF and rheumatoid arthritis (RA) patients, given the similar association of airway inflammation and autoimmunity in RA. Even though we observed that bactericidal permeability-increasing protein (BPI), carbamylated proteins, and citrullinated proteins all localized to the neutrophil extracellular traps (NETs), which are implicated in the development of autoimmunity, our study demonstrates striking autoantibody specificity in CF. Particularly, CF patients developed anti-BPI autoantibodies but hardly any anti-citrullinated protein autoantibodies (ACPA). In contrast, ACPA-positive RA patients exhibited no reactivity with BPI. Interestingly, anti-carbamylated protein autoantibodies (ACarPA) were found in both cohorts but did not cross-react with BPI. Contrary to ACPA and ACarPA, anti-BPI autoantibodies recognized the BPI C-terminus in the absence of posttranslational modifications. In fact, we discovered that P. aeruginosa–mediated NET formation results in BPI cleavage by P. aeruginosa elastase, which suggests a novel mechanism in the development of autoimmunity to BPI. In accordance with this model, autoantibodies associated with presence of P. aeruginosa on sputum culture. Finally, our results provide a role for autoimmunity in CF disease severity, as autoantibody levels associate with diminished lung function.

Authors

Sladjana Skopelja, B. JoNell Hamilton, Jonathan D. Jones, Mei-Ling Yang, Mark Mamula, Alix Ashare, Alex H. Gifford, William F.C. Rigby

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Usage data is cumulative from December 2024 through December 2025.

Usage JCI PMC
Text version 560 70
PDF 196 26
Figure 550 2
Table 65 0
Supplemental data 167 2
Citation downloads 131 0
Totals 1,669 100
Total Views 1,769
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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