Changes in the lung bacteriome in relation to antipseudomonal therapy in children with cystic fibrosis

Lenka Kramná1, Pavel Dřevínek2, Jake Lin3

  • 1Department of Paediatrics, 2nd Faculty of Medicine, Charles University in Prague and University Hospital Motol, V Úvalu 84, 15006, Prague 5, Czech Republic.

Folia Microbiologica
|November 12, 2017
PubMed

Insights

Antibiotic treatment for Pseudomonas aeruginosa in cystic fibrosis (CF) patients significantly reduced overall bacterial load and specific pathogens like Staphylococcus aureus. Certain rare bacteria showed associations with improved lung function.

Area of Science:

  • Microbiology
  • Pulmonology
  • Genetics

Background:

  • The lung microbiome plays a critical role in cystic fibrosis (CF) pathogenesis.
  • Pseudomonas aeruginosa is a common and detrimental pathogen in CF lungs.
  • Understanding bacteriome shifts post-antibiotic therapy is crucial for CF management.

Purpose of the Study:

  • To evaluate changes in the lung bacteriome of children with CF after antibiotic treatment targeting Pseudomonas aeruginosa.
  • To correlate bacteriome composition with clinical parameters such as lung function and white blood cell count.

Main Methods:

  • Deep sequencing of the 16S rRNA gene's V4 region to profile bacteriome composition.
  • Quantitative real-time PCR to assess total bacterial load and specific pathogen abundance.
  • Analysis of sputum samples from nine pediatric CF patients before and after intravenous antibiotic therapy.

Main Results:

  • Antipseudomonal antibiotics led to a significant decrease in total bacterial load (16S rDNA) and specific taxa, including Staphylococcus aureus and Streptococcus mitis group members.
  • Improvements in forced expiratory volume (FEV1) were positively associated with an increase in Granulicatella sp.
  • A negative correlation was observed between total bacterial load and white blood cell count.

Conclusions:

  • Antipseudomonal treatment profoundly impacts the CF lung bacteriome, reducing overall bacterial burden and specific opportunistic pathogens.
  • The study highlights the potential role of specific, less abundant bacterial species in influencing clinical outcomes in CF.
  • Absolute quantification of bacterial load alongside 16S rDNA profiling offers valuable insights into CF lung microbial dynamics.