Effective antimicrobial combination <i>in vivo</i> treatment predicted with microcalorimetry screening

  • Kasper Nørskov Kragh
    Department of Clinical Microbiology, Rigshospitalet, 2200 Copenhagen N, Denmark
  • Desiree Gijón
    Servicio de Microbiología, Hospital Universitario Ramón y Cajal and Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), 28034 Madrid, Spain
  • Ainhize Maruri
    Servicio de Microbiología, Hospital Universitario Ramón y Cajal and Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), 28034 Madrid, Spain
  • Alberto Antonelli
    Department of Experimental and Clinical Medicine, University of Florence, 50121 Firenze, Italy
  • Marco Coppi
    Department of Experimental and Clinical Medicine, University of Florence, 50121 Firenze, Italy
  • Mette Kolpen
    Department of Clinical Microbiology, Rigshospitalet, 2200 Copenhagen N, Denmark
  • Stephanie Crone
    Department of Clinical Microbiology, Rigshospitalet, 2200 Copenhagen N, Denmark
  • Chaitanya Tellapragada
    Department of Laboratory Medicine, Karolinska Institutet, 14183 Stockholm, Sweden
  • Badrul Hasan
    Department of Laboratory Medicine, Karolinska Institutet, 14183 Stockholm, Sweden
  • Stine Radmer
    Department of Clinical Microbiology, Rigshospitalet, 2200 Copenhagen N, Denmark
  • Corné de Vogel
    Department of Medical Microbiology and Infectious Diseases, Erasmus University, Erasmus MC, 3000CA Rotterdam, The Netherlands
  • Willem van Wamel
    Department of Medical Microbiology and Infectious Diseases, Erasmus University, Erasmus MC, 3000CA Rotterdam, The Netherlands
  • Annelies Verbon
    Department of Medical Microbiology and Infectious Diseases, Erasmus University, Erasmus MC, 3000CA Rotterdam, The Netherlands
  • Christian G Giske
    Department of Laboratory Medicine, Karolinska Institutet, 14183 Stockholm, Sweden
  • Gian Maria Rossolini
    Department of Experimental and Clinical Medicine, University of Florence, 50121 Firenze, Italy
  • Rafael Cantón
    Servicio de Microbiología, Hospital Universitario Ramón y Cajal and Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), 28034 Madrid, Spain
  • Niels Frimodt-Møller
    Department of Clinical Microbiology, Rigshospitalet, 2200 Copenhagen N, Denmark

Description

<jats:title>Abstract</jats:title> <jats:sec> <jats:title>Objectives</jats:title> <jats:p>The worldwide emergence of antibiotic resistance calls for effective exploitation of existing antibiotics. Antibiotic combinations with different modes of action can synergize for successful treatment. In the present study, we used microcalorimetry screening to identify synergistic combination treatments against clinical MDR isolates. The synergistic effects were validated in a murine infection model.</jats:p> </jats:sec> <jats:sec> <jats:title>Methods</jats:title> <jats:p>The synergy of meropenem combined with colistin, rifampicin or amikacin was tested on 12 isolates (1 Escherichia coli, 5 Klebsiella pneumoniae, 3 Pseudomonas aeruginosa and 3 Acinetobacter baumannii) in an isothermal microcalorimeter measuring metabolic activity. One A. baumannii strain was tested with two individual pairings of antibiotic combinations. The microcalorimetric data were used to predict in vivo efficacy in a murine peritonitis/sepsis model. NMRI mice were inoculated intraperitoneally and after 1 h treated with saline, drug X, drug Y or X+Y. Bacterial load was determined by cfu in peritoneal fluid and blood after 4 h.</jats:p> </jats:sec> <jats:sec> <jats:title>Results</jats:title> <jats:p>In vitro, of the 13 combinations tested on the 12 strains, 3 of them exhibited a synergistic reduction in MIC (23% n = 3/13), 5 showed an additive effect (38.5% n = 5/13) and 5 had indifferent or antagonistic effects (38.5% n = 5/13). There was a significant correlation (P = 0.024) between microcalorimetry-screening FIC index values and the log reduction in peritoneal fluid from mice that underwent combination treatment compared with the most effective mono treatment. No such correlation could be found between chequerboard and in vivo results (P = 0.16).</jats:p> </jats:sec> <jats:sec> <jats:title>Conclusions</jats:title> <jats:p>These data support microcalorimetic metabolic readout to predict additive or synergistic effects of combination treatment of MDR infections within hours.</jats:p> </jats:sec>

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