In vitro and in vivo combination of lytic phages and octapeptin OPX10053 against B-lactamase-producing clinical isolates of Klebsiella pneumoniae
Pacios, O.; Blasco, L.; Bleriot, I.; Fernandez-Garcia, L.; Lopez-Diaz, M.; Ortiz-Cartagena, C.; Barrio-Pujante, A.; Fernandez-Cuenca, F.; Aracil, B.; Oteo-Iglesias, J.; Hansford, K. A.; Tomas, M.
Show abstract
Backgroundnovel approaches to treat Klebsiella pneumoniae infections are desperately needed, such as the use of rationally designed combination therapies. Objectivesto evaluate the in vitro and in vivo therapeutic potential of lytic phages against K. pneumoniae in combination with octapeptin, a promising class of lipopeptides with broad spectrum Gram-negative activity. Methodswe determined the MICs to twenty-two lipopeptide compounds and chose one octapeptin (OPX10053) for evaluation of potential synergism in combination with lytic phages using checkerboard assays, optical density growth curves and time-kill (CFU enumeration). Toxicity and efficacy in vivo assays were conducted on Galleria mellonella larvae. Resultsthis study reports the synergy found in vitro between the octapeptin OPX10053 and two lytic phages previously characterized by our research group (vB_KpnM-VAC13 and vB_KpnM-VAC66) against clinical isolates of K. pneumoniae. This synergy was validated by the FIC index, OD growth curves and time-kill assay when OPX10053 was added following 4 hours of phage exposure. Preliminary evaluation of toxicity revealed that OPX10053, even at subinhibitory concentrations and in phage combinations, exerts a toxic effect on larvae, which requires further investigation. ConclusionsThe in vitro application of lytic phages in combination with octapeptin OPX10053 showed synergistic activity. Exposure of G. mellonella to the lytic phages was well tolerated, whereas combination treatment with subinhibitory concentrations of OPX10053 did not attenuate toxicity. Even so, this innovative approach of combining lytic phages could open the door to some interesting associations between chemically synthesized drugs and biological entities. Sequential or simultaneous application alongside time, dosing and stewardship warrants further research.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Structure-activity relationship of pyrrolidine pentamine derivatives as inhibitors of the aminoglycoside 6'-N-acetyltransferase type Ib 94%
- Repurposing disulfiram (Tetraethylthiuram Disulfide) as a potential drug candidate against Borrelia burgdorferi in vitro and in vivo 94%
- Capsaicin potently blocks Salmonella typhimurium invasion of Vero cells 93%
Similar papers in this journal
- Novel Pentafluorosulfanyl-containing Triclocarban Analogs selectively kill Gram-positive bacteria. 96%
- Polyether ionophore antibiotics target drug-resistant clinical isolates, persister cells, and biofilms 95%
- Real-Time Flow Cytometry to assess qualitative and quantitative responses of oral pathobionts during exposure to antiseptics 94%
Similar papers in this journal
- Pyocin efficacy in a murine model of Pseudomonas aeruginosa sepsis 94%
- Outer membrane protein A (OmpA) deficient Salmonella Typhimurium displays enhanced susceptibility towards β-lactam antibiotics: third-generation cephalosporins (ceftazidime) and carbapenems (meropenem) 94%
- Enhanced Activity of Apramycin and Apramycin-Based Combinations Against Mycobacteroides abscessus 93%
Similar papers in this journal
- Broad-Spectrum Activity and Mechanisms of Action of SQ109 on a Variety of Fungi 94%
- Antibiotic-adjuvants abolish resistance conferred by the Staphylococcus aureus erythromycin resistance methyltransferase in an Escherichia coli model 93%
- Structural requirements for dihydrobenzoxazepinone anthelmintics: actions against medically important and model parasites - Trichuris muris, Brugia malayi, Heligmosomoides polygyrus and Schistosoma mansoni 93%
"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.