Challenges and opportunities in the development of novel antimicrobial therapeutics for cystic fibrosis
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Updated: Aug 11, 2025

Growing a Cystic Fibrosis-Relevant Polymicrobial Biofilm to Probe Community Phenotypes
Published on: April 19, 2024
Thomas E Barton1, Frederick Frost2,3, Joanne L Fothergill1
1Department of Clinical Infection, Microbiology and Immunology, University of Liverpool, Ronald Ross Building, 8 West Derby Street, Liverpool, L69 7BE, UK.
Abstract:
Chronic respiratory infection is the primary driver of mortality in individuals with cystic fibrosis (CF). Existing drug screening models utilised in preclinical antimicrobial development are unable to mimic the complex CF respiratory environment. Consequently, antimicrobials showing promising activity in preclinical models often fail to translate through to clinical efficacy in people with CF. Model systems used in CF anti-infective drug discovery and development range from antimicrobial susceptibility testing in nutrient broth, through to 2D and 3D in vitro tissue culture systems and in vivo models. No single model fully recapitulates every key aspect of the CF lung. To improve the outcomes of people with CF (PwCF) it is necessary to develop a set of preclinical models that collectively recapitulate the CF respiratory environment to a high degree of accuracy. Models must be validated for their ability to mimic aspects of the CF lung and associated lung infection, through evaluation of biomarkers that can also be assessed following treatment in the clinic. This will give preclinical models greater predictive power for identification of antimicrobials with clinical efficacy. The landscape of CF is changing, with the advent of modulator therapies that correct the function of the CFTR protein, while antivirulence drugs and phage therapy are emerging alternative treatments to chronic infection. This review discusses the challenges faced in current antimicrobial development pipelines, including the advantages and disadvantages of current preclinical models and the impact of emerging treatments.
Insights
Developing accurate preclinical models is crucial for effective cystic fibrosis (CF) antimicrobial drug discovery. These models must mimic the CF lung environment to improve clinical translation and patient outcomes.
Area of Science:
- Pulmonary Medicine
- Infectious Diseases
- Drug Discovery
Background:
- Chronic respiratory infection significantly impacts mortality in cystic fibrosis (CF).
- Current preclinical models fail to accurately replicate the complex CF lung environment, leading to poor clinical translation of antimicrobial therapies.
- The CF landscape is evolving with new modulator therapies and alternative treatments like antivirulence drugs and phage therapy.
Conclusions:
- A suite of validated preclinical models is needed to accurately mimic the CF respiratory environment and improve anti-infective drug development.
- Biomarker evaluation in preclinical models is essential for enhancing their predictive power for clinical efficacy.
- Advancements in CFTR modulator therapies and novel treatments necessitate the development of improved preclinical models to support ongoing research.
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