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Vaezi A, Healy T, Ebrahimi G, Rezvankhah S, Hashemi Shahraki A, Mirsaeidi M. Phage therapy: breathing new tactics into lower respiratory tract infection treatments. Eur Respir Rev 2024; 33:240029. [PMID: 38925791 PMCID: PMC11216685 DOI: 10.1183/16000617.0029-2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Accepted: 04/16/2024] [Indexed: 06/28/2024] Open
Abstract
Lower respiratory tract infections (LRTIs) present a significant global health burden, exacerbated by the rise in antimicrobial resistance (AMR). The persistence and evolution of multidrug-resistant bacteria intensifies the urgency for alternative treatments. This review explores bacteriophage (phage) therapy as an innovative solution to combat bacterial LRTIs. Phages, abundant in nature, demonstrate specificity towards bacteria, minimal eukaryotic toxicity, and the ability to penetrate and disrupt bacterial biofilms, offering a targeted approach to infection control. The article synthesises evidence from systematic literature reviews spanning 2000-2023, in vitro and in vivo studies, case reports and ongoing clinical trials. It highlights the synergistic potential of phage therapy with antibiotics, the immunophage synergy in animal models, and the pharmacodynamics and pharmacokinetics critical for clinical application. Despite promising results, the article acknowledges that phage therapy is at a nascent stage in clinical settings, the challenges of phage-resistant bacteria, and the lack of comprehensive cost-effectiveness studies. It stresses the need for further research to optimise phage therapy protocols and navigate the complexities of phage-host interactions, particularly in vulnerable populations such as the elderly and immunocompromised. We call for regulatory adjustments to facilitate the exploration of the long-term effects of phage therapy, aiming to incorporate this old-yet-new therapy into mainstream clinical practice to tackle the looming AMR crisis.
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Affiliation(s)
- Atefeh Vaezi
- Division of Pulmonary, Critical Care and Sleep Medicine, College of Medicine-Jacksonville, University of Florida, Jacksonville, FL, USA
| | - Thomas Healy
- Division of Pulmonary, Critical Care and Sleep Medicine, College of Medicine-Jacksonville, University of Florida, Jacksonville, FL, USA
| | | | | | - Abdolrazagh Hashemi Shahraki
- Division of Pulmonary, Critical Care and Sleep Medicine, College of Medicine-Jacksonville, University of Florida, Jacksonville, FL, USA
| | - Mehdi Mirsaeidi
- Division of Pulmonary, Critical Care and Sleep Medicine, College of Medicine-Jacksonville, University of Florida, Jacksonville, FL, USA
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Liang W, Zhang Q, Qian Q, Wang M, Ding Y, Zhou J, Zhu Y, Jin Y, Chen X, Kong H, Song W, Lu X, Wu X, Xu X, Dai S, Sun W. Diagnostic strategy of metagenomic next-generation sequencing for gram negative bacteria in respiratory infections. Ann Clin Microbiol Antimicrob 2024; 23:10. [PMID: 38302964 PMCID: PMC10835912 DOI: 10.1186/s12941-024-00670-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Accepted: 01/20/2024] [Indexed: 02/03/2024] Open
Abstract
OBJECTIVE This study aims to identify the most effective diagnostic method for distinguishing pathogenic and non-pathogenic Gram-negative bacteria (GNB) in suspected pneumonia cases using metagenomic next-generation sequencing (mNGS) on bronchoalveolar lavage fluid (BALF) samples. METHODS The effectiveness of mNGS was assessed on BALF samples collected from 583 patients, and the results were compared with those from microbiological culture and final clinical diagnosis. Three interpretational approaches were evaluated for diagnostic accuracy. RESULTS mNGS outperformed culture significantly. Among the interpretational approaches, Clinical Interpretation (CI) demonstrated the best diagnostic performance with a sensitivity of 87.3%, specificity of 100%, positive predictive value of 100%, and negative predictive value of 98.3%. CI's specificity was significantly higher than Simple Interpretation (SI) at 37.9%. Additionally, CI excluded some microorganisms identified as putative pathogens by SI, including Haemophilus parainfluenzae, Haemophilus parahaemolyticus, and Klebsiella aerogenes. CONCLUSION Proper interpretation of mNGS data is crucial for accurately diagnosing respiratory infections caused by GNB. CI is recommended for this purpose.
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Affiliation(s)
- Wenyan Liang
- Department of Respirology and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Qun Zhang
- Department of Respirology and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Qian Qian
- Jiangsu Health Vocational College, Nanjing, 211800, China
| | - Mingyue Wang
- Department of Respirology and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Yuchen Ding
- Department of Respirology and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Ji Zhou
- Department of Respirology and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Yi Zhu
- Department of Respirology and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Yu Jin
- Department of Respirology and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Xuesong Chen
- Department of Respirology and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Hui Kong
- Department of Respirology and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Wei Song
- Department of Respirology and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Xin Lu
- Department of Respiratory and Critical Care Medicine, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, China
| | - Xiaodong Wu
- Department of Respiratory and Critical Care Medicine, Shanghai East Hospital, Tongji University, Shanghai, China
| | - Xiaoyong Xu
- Department of respiratory and critical care medicine, The Second Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, 210000, China
| | - Shanling Dai
- Department of Respirology and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Wenkui Sun
- Department of Respirology and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
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