Pseudomonas aeruginosa exoproducts determine antibiotic efficacy against Staphylococcus aureus

Lauren Radlinski1, Sarah E Rowe1, Laurel B Kartchner1,2

  • 1Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, North Carolina, United States of America.

Plos Biology
|November 28, 2017
PubMed

Insights

Interactions between Staphylococcus aureus and Pseudomonas aeruginosa affect antibiotic effectiveness. P. aeruginosa factors can either increase or decrease S. aureus susceptibility to antibiotics, impacting treatment outcomes.

Area of Science:

  • Microbiology
  • Infectious Diseases
  • Pharmacology

Background:

  • Chronic coinfections involving Staphylococcus aureus and Pseudomonas aeruginosa often resist antibiotic treatment.
  • The influence of interspecies interactions on Staphylococcus aureus antibiotic susceptibility is not well understood.

Purpose of the Study:

  • To investigate how Pseudomonas aeruginosa strains affect Staphylococcus aureus susceptibility to antibiotics.
  • To identify specific Pseudomonas aeruginosa factors mediating these changes in susceptibility.

Main Methods:

  • Utilized a panel of Pseudomonas aeruginosa clinical isolates from burn wounds and cystic fibrosis lungs.
  • Assessed the impact of Pseudomonas aeruginosa on Staphylococcus aureus antibiotic susceptibility.
  • Identified key Pseudomonas aeruginosa factors: LasA endopeptidase, rhamnolipids, and 2-heptyl-4-hydroxyquinoline N-oxide (HQNO).

Main Results:

  • Pseudomonas aeruginosa demonstrated strain-dependent alterations in Staphylococcus aureus antibiotic susceptibility.
  • LasA endopeptidase potentiated vancomycin-induced lysis of Staphylococcus aureus.
  • Rhamnolipids facilitated tobramycin uptake independent of proton-motive force.
  • HQNO induced multidrug tolerance in Staphylococcus aureus via respiratory inhibition.

Conclusions:

  • Specific Pseudomonas aeruginosa factors (LasA, rhamnolipids, HQNO) modulate Staphylococcus aureus antibiotic susceptibility.
  • The effectiveness of antibiotic treatment is influenced by microbial interactions within polymicrobial infections.
  • Understanding these interactions is crucial for improving treatment strategies for coinfections.