Evaluation of Phage and Antibiotic Combinations for Staphylococcus aureus Biofilm Eradication: Insights from the Wax Worm Model
Loganathan, A.; Manohar, P.; Bozdogan, B.; Nachimuthu, R.
Show abstract
BackgroundGalleria mellonella, an advantageous model organism, to investigate the therapeutic potential of bacteriophages. Employing the Galleria mellonella (waxworm) model, this study involved infecting the larvae with pathogenic Staphylococcus aureus, followed by combination treatment with staph phages; vB_Sau_Saa90 and vB_Sau_Saa165 at the concentrations of 107 and 109 PFU/mL and oxacillin, at 100 mg/kg. The treatment modalities were executed in three distinct orders: pre-phage treatment, simultaneous treatment, and post-phage treatment. Each treatment was administered at 90 min intervals. The health state index of the waxworms was monitored throughout the study. ResultsAmong the three treatment orders, both pre-phage treatment and post-antibiotic treatment exhibited the significant outcomes. The survival percentages ranged from 40% to 50%, 30% to 50%, and 50% to 70% across strong, moderate, and weak biofilm conditions. Notably, the phages vB_Sau_Saa90 and vB_Sau_Saa165 displayed remarkable effectiveness in combination with antibiotics. This successful synergy showcased the potential of combinatorial treatment in effectively addressing biofilm-related infections. ConclusionsThis study holds considerable significance as it underscores the suitability of G. mellonella as a model organism for exploring bacteriophage-based therapeutic approaches. The studys findings shed light on the efficacy of combining bacteriophages and antibiotics to target S. aureus biofilm cells. The observed results in the waxworm model highlight a promising avenue for managing biofilm infections. However, the need for further validation through larger animal models is emphasized, as this could potentially pave the way for novel treatment strategies with broader clinical implications.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Abrogation of pathogenic attributes in drug resistant Candida auris strains by farnesol 96%
- Mechanism of interaction of an endofungal bacterium Serratia marcescens D1 with its host and non-host fungi 94%
- Strain variation in Bacillus cereus biofilms and their susceptibility to extracellular matrix-degrading enzymes 94%
Similar papers in this journal
- An open-source computational tool for measuring bacterial biofilm morphology and growth kinetics upon one-sided exposure to an antimicrobial source. 95%
- An Optimised GAS-pharyngeal cell biofilm model 94%
- Gut microbial communities associated with phenotypically divergent populations of the striped stem borer Chilo suppressalis 93%
Similar papers in this journal
- Plasma Activated Water as a Pre-Treatment Strategy in the Context of Biofilm-Infected Chronic Wounds 95%
- CAUTI's Next Top Model - model dependent Klebsiella biofilm inhibition by bacteriophages and antimicrobials 95%
- Milieu matters: An in vitro wound milieu to recapitulate key features of, and probe new insights into, polymicrobial biofilms 94%
Similar papers in this journal
- Honeybees exposure to veterinary drugs: how the gut microbiota is affected 94%
- A multiwell-plate Caenorhabditis elegans assay for assessing the therapeutic potential of Bacteriophages against Clinical Pathogens 94%
- Exploration of the antimicrobial synergy between selected natural substances on Streptococcus mutans to identify candidates for the control of dental caries 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.