Pseudomonas aeruginosa adaptation in cystic fibrosis patients increases C5a levels and promotes neutrophil recruitment

Virulence. 2022 Dec;13(1):215-224. doi: 10.1080/21505594.2022.2028484.

Abstract

Cystic fibrosis (CF) disease is characterized by an intense airway inflammatory response mediated by neutrophils and chronic respiratory infections caused by P. aeruginosa. High levels of the complement component C5a, the strongest neutrophil chemoattractant molecule, are commonly found in the CF lung and have been associated with a worsening of the disease. In this study, we investigated how the isolates from CF patients modulate the levels of C5a and identified the bacterial factors involved. We demonstrated that most isolates from airway chronic infections induce the production and accumulation of C5a, an effect attributable to the loss of C5a cleavage by the exoproteases alkaline protease (AprA) and elastase B (LasB). Furthermore, we found that lack of the bacterial protease-dependent C5a degradation is due to mutations in the master regulator LasR. Thus, complementation of a non-C5a-cleaving CF isolate with a functional wild-type LasR restored its ability to express both proteases, cleave C5a and reduce neutrophil recruitment in vitro. These findings suggest that the non-cleaving C5a phenotype acquired by the LasR variants frequently isolated in CF patients may account for the strong neutrophilia and general neutrophil dysfunction predisposing toward increased inflammation and reduced bacterial clearance described in CF patients.

Keywords: C5a; alkaline protease A; cystic fibrosis; elastase B; lasR.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Complement C5a / analysis*
  • Cystic Fibrosis* / complications
  • Cystic Fibrosis* / microbiology
  • Humans
  • Neutrophil Infiltration
  • Peptide Hydrolases / metabolism
  • Pseudomonas Infections* / microbiology
  • Pseudomonas aeruginosa / metabolism
  • Respiratory System

Substances

  • Complement C5a
  • Peptide Hydrolases

Grants and funding

This work was supported by grants RTI2018-100701-B-100 and RTI2018-102242-B-100 funded by MCIN/AEI/10.13039/501100011033 and by “ERDF A way of making Europe”.