Effective antimicrobial combination in vivo treatment predicted with microcalorimetry screening

Author:

Kragh Kasper Nørskov12ORCID,Gijón Desiree3,Maruri Ainhize3,Antonelli Alberto45ORCID,Coppi Marco45,Kolpen Mette1,Crone Stephanie1,Tellapragada Chaitanya6,Hasan Badrul6,Radmer Stine1,de Vogel Corné7,van Wamel Willem7,Verbon Annelies7,Giske Christian G68,Rossolini Gian Maria45,Cantón Rafael3ORCID,Frimodt-Møller Niels1

Affiliation:

1. Department of Clinical Microbiology, Rigshospitalet, 2200 Copenhagen N, Denmark

2. Costerton Biofilm Center, University of Copenhagen, 2200 Copenhagen N, Denmark

3. Servicio de Microbiología, Hospital Universitario Ramón y Cajal and Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), 28034 Madrid, Spain

4. Department of Experimental and Clinical Medicine, University of Florence, 50121 Firenze, Italy

5. Clinical Microbiology and Virology Unit, Florence Careggi University Hospital, 50121 Firenze, Italy

6. Department of Laboratory Medicine, Karolinska Institutet, 14183 Stockholm, Sweden

7. Department of Medical Microbiology and Infectious Diseases, Erasmus University, Erasmus MC, 3000CA Rotterdam, The Netherlands

8. Clinical Microbiology, Karolinska University Hospital, 17176 Stockholm, Sweden

Abstract

Abstract Objectives 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. Methods 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. Results 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). Conclusions These data support microcalorimetic metabolic readout to predict additive or synergistic effects of combination treatment of MDR infections within hours.

Funder

calScreener technology

European Union’s Horizon 2020 research and innovation programme

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Pharmacology (medical),Pharmacology,Microbiology (medical)

Reference25 articles.

1. The multifaceted roles of antibiotics and antibiotic resistance in nature;Sengupta;Front Microbiol,2013

2. Antibiotic synergy and antagonism;Acar;Med Clin North Am,2000

3. Synergistic activity of trimethoprim-sulfamethoxazole on Gram-negative bacilli: observations in vitro and in vivo;Acar;J Infect Dis,1973

4. Combination therapy for treatment of infections with Gram-negative bacteria;Tamma;Clin Microbiol Rev,2012

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3