Optimizing phage-antibiotic combinations: impact of administration order against daptomycin non-susceptible (DNS) MRSA clinical isolates
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Background
The rise of bacterial resistance has driven the exploration of novel therapies, such as bacteriophage-antibiotic cocktails (PACs), which have shown in vitro promise against resistant pathogens, including daptomycin non-susceptible (DNS-MRSA) strains. While daptomycin has been a cornerstone for treating MRSA bacteremia and vancomycin-refractory infective endocarditis, the emergence of DNS-MRSA presents a significant challenge due to high morbidity, mortality, and rapid intrinsic resistance development.
Methods
Phages Intesti13 and Sb-1, were selected for their unique host ranges and activity against sixteen DNS-MRSA strains. Synergy with antibiotics was assessed via growth suppression curves and 24-hour time-kill assays (TKAs) across administration sequences and MIC increments. Selected regimens were further assessed in an ex-vivo simulated endocardial vegetation (SEV) models, with pharmacokinetic analyses confirming target antibiotic concentrations.
Results
In the ex-vivo SEV model, simultaneous PAC administration using daptomycin±phage, showed superior bactericidal activity over sequential treatments in isolate C6 (p<0.01). Similarly, in the same model, C2 reached detection limits within 48h and remained suppressed for 120h (p<0.0037). Sequential outcomes varied by phage-antibiotic order and antibiotic choice. Simultaneous and phage-first regimens outperformed antibiotic-first, especially in 24h TKAs, but showed variability at lower MICs and between in-vitro and ex-vivo settings.
Conclusion
This study highlights PAC’s potential for DNS-MRSA treatment, emphasizing the importance of administration timing. The observed differences across clinical strains emphasize the need for strain-specific evaluations and a deeper understanding of phage-antibiotic interactions to optimize therapy. Future research must focus on expanding phage diversity, refining protocols, and clinically validating sequential strategies to enhance PAC efficacy.
