Phage therapy for pulmonary infections: lessons from clinical experiences and key considerations.
Georgia MitropoulouAngela KoutsokeraChantal CsajkaSylvain BlanchonAlain SautyJean-Francois BrunetChristophe von GarnierGrégory ReschBenoit GueryPublished in: European respiratory review : an official journal of the European Respiratory Society (2022)
Lower respiratory tract infections lead to significant morbidity and mortality. They are increasingly caused by multidrug-resistant pathogens, notably in individuals with cystic fibrosis, hospital-acquired pneumonia and lung transplantation. The use of bacteriophages (phages) to treat bacterial infections is gaining growing attention, with numerous published cases of compassionate treatment over the last few years. Although the use of phages appears safe, the lack of standardisation, the significant heterogeneity of published studies and the paucity of robust efficacy data, alongside regulatory hurdles arising from the existing pharmaceutical legislation, are just some of the challenges phage therapy has to overcome. In this review, we discuss the lessons learned from recent clinical experiences of phage therapy for the treatment of pulmonary infections. We review the key aspects, opportunities and challenges of phage therapy regarding formulations and administration routes, interactions with antibiotics and the immune system, and phage resistance. Building upon the current knowledge base, future pre-clinical studies using emerging technologies and carefully designed clinical trials are expected to enhance our understanding and explore the therapeutic potential of phage therapy.
Keyphrases
- pseudomonas aeruginosa
- multidrug resistant
- clinical trial
- respiratory tract
- pulmonary hypertension
- mental health
- cystic fibrosis
- gram negative
- working memory
- randomized controlled trial
- acinetobacter baumannii
- emergency department
- stem cells
- escherichia coli
- extracorporeal membrane oxygenation
- current status
- combination therapy
- study protocol
- machine learning
- mesenchymal stem cells
- deep learning
- acute care
- drug induced
- double blind