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Pseudomonas aeruginosa Infection and Inflammation in Cystic Fibrosis: A Pilot Study With Lung Explants and a Novel Histopathology Scoring System

  • Sankalp Malhotra,
  • Ching Yang,
  • Kerri L. Nicholson,
  • Daniel J. Wozniak,
  • Don Hayes Jr

摘要

Purpose

Pseudomonas aeruginosa is the predominant bacterial pathogen colonizing the cystic fibrosis (CF) lung. Mixed populations of nonmucoid and mucoid variants of P. aeruginosa have been isolated from the CF airway. While the association between mucoid variants and pulmonary function decline is well-established, their impact on inflammation and tissue damage in advanced CF lung disease remains unclear.

Methods

This pilot study utilized 1 non-CF and 3 CF lung explants to examine lobar distribution, inflammation, and histopathology related to nonmucoid and mucoid P. aeruginosa infection. To study tissue damage, we developed a novel lung histopathology scoring system, the first applied to human CF lung biopsies, which is comprised of five indicators: bronchiolar epithelial infiltrate, luminal inflammation, peribronchial/bronchiolar infiltrate, peribronchiolar fibrosis, and alveolar involvement.

Results

Mucoid P. aeruginosa variants were distributed throughout the CF lung but associated with greater concentrations of proinflammatory cytokines, IL-1β, TNF-α, IL-6, IL-8, and IFN-γ, and one anti-inflammatory cytokine, IL-10, compared to nonmucoid variants. CF lung explants exhibited higher histopathology scores compared to a non-CF lung control. In mixed-variant infection, nonmucoid constituents associated with increased bronchiolar epithelial infiltration, one indicator of histopathology.

Conclusion

This pilot study suggests ongoing interplay between host and bacterial elements in late-stage CF pulmonary disease. Mucoid P. aeruginosa infection correlates with inflammation regardless of lung lobe, whereas nonmucoid P. aeruginosa is associated with increased inflammatory cell infiltration. The development of a novel lung histopathology scoring system lays the groundwork for future large-cohort investigations.