Antibiotic-resistant (AR) bacterial wound infections (WIs) impose major burdens on healthcare systems, exacerbated by ineffective therapies and stalled antibiotic development. Phage therapy and phage-derived enzymes have gained traction as potent alternatives, leveraging targeted bactericidal mechanisms to combat AR pathogens. In this review, we summarised the antimicrobial mechanisms of both phage therapy and phage-derived enzymes as antimicrobial therapy, and outlined recent advances in their use for in vitro , in vivo and clinical applications for WI management. In addition, we also highlights recent advancements in their development, driven by genetic engineering, chemical modifications, and artificial intelligence. Finally, we identified the potential barriers and challenges they may encounter in clinical practice and the corresponding strategies to address these issues. The entire review gives us a comprehensive understanding of the latest advances in phages and their derivative enzyme therapies for treating WIs, in the hope that research in this field will continue to improve and innovate, accelerating the transition from the laboratory to application at the bedside and ultimately improving the efficacy of treatment for AR bacterial WIs.
Humans ; Phage Therapy/methods* ; Wound Infection/drug therapy* ; Bacteriophages/enzymology* ; Enzyme Therapy/methods* ; Animals ; Bacterial Infections/therapy*

BACKGROUND: The pulmonary microbiome is closely related to the occurrence of pulmonary diseases. The morbidity and mortality of lung cancer are relatively high in the world. It has been confirmed that lung microecology changes in lung cancer patients compared with healthy individuals. Furthermore, the abundance of some bacterial species shows obvious changes, suggesting their potential use as a microbial marker for the detection of lung cancer. The composition of the pulmonary microbiome in patients with different histological types of lung cancer has not been determined. We aim to study the correlation and difference of microbiome between different histological types of lung cancer. METHODS: Illumina HiSeq high-throughput sequencing technology was used to sequenced the 16S rDNA V3-V4 region of bacterial in sputum samples of patients with advanced lung cancer. RESULTS: It was found that Streptococcus, Neisseria and Prevotella were the main bacteria of lung cancer patients. Advantage bacterium group differ between different histological types of lung cancer. Adenocarcinoma (AD) group was dominated by Streptococcus and Neisseria, followed by Veillonella. Small cell lung cancer (SCLC) group was dominated by Neisseria, followed by Streptococcus. Squamous carcinoma (SCC) group was dominated by Streptococcus, followed by Veillonella. Combined small cell lung cancer (C-SCLC) group was dominated by Streptococcus, followed by Prevotella. CONCLUSIONS The pulmonary bacterial microbiome of lung cancer of different histological types is different. This experiment enrichs the pulmonary bacterial microbiome data of lung cancer and fills the gap of pulmonary microbiome of small cell lung cancer.