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一种快速简单的方法,用于常规测定铜绿假单胞菌生物膜群体对抗生素的敏感性。

A rapid and simple method for routine determination of antibiotic sensitivity to biofilm populations of Pseudomonas aeruginosa.

机构信息

Department of Microbiology, Faculty of Medicine, King Chulalongkorn Memorial Hospital, Chulalongkorn University, Bangkok, Thailand.

School of Medicine, Faculty of Health and Medical Sciences, The University of Western Australia, Nedlands, WA, Australia.

出版信息

Ann Clin Microbiol Antimicrob. 2020 Mar 13;19(1):8. doi: 10.1186/s12941-020-00350-6.

DOI:10.1186/s12941-020-00350-6
PMID:32169075
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7071750/
Abstract

Treatment of infections by Pseudomonas aeruginosa forming biofilms after antimicrobial testing on planktonic bacteria can result in substantial failure. Therefore, we offer a robust and simple experimental platform to test the impact of antimicrobials on biofilms. Antibiotic response patterns varied uniquely within biofilm formation capacity and minimal biofilm eradication concentrations (MBECs) has a significantly better discriminatory power than minimum inhibitory concentrations (MICs) to differentiate the overall efficiency of antibiotics to eradicate biofilm. Our resazurin-based 96-well-plate platform is able to emulate bacterial responses to antibiotics under biofilm conditions in a fast, simple, and cost-effective screening method adaptable to automation, and warrants trials in the clinic.

摘要

在对浮游菌进行抗菌测试后,治疗绿脓假单胞菌形成的生物膜感染可能会导致严重的失败。因此,我们提供了一个强大而简单的实验平台来测试抗菌药物对生物膜的影响。抗生素反应模式在生物膜形成能力内独特地变化,最小生物膜清除浓度(MBEC)比最小抑菌浓度(MIC)具有更好的区分能力,可区分抗生素清除生物膜的整体效率。我们基于 Resazurin 的 96 孔板平台能够以快速、简单且具有成本效益的筛选方法模拟生物膜条件下细菌对抗生素的反应,该方法适用于自动化,并且值得在临床上进行试验。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20ef/7071750/20e3cccaaec0/12941_2020_350_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20ef/7071750/508fe68fc55c/12941_2020_350_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20ef/7071750/80ea1f75394e/12941_2020_350_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20ef/7071750/20e3cccaaec0/12941_2020_350_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20ef/7071750/508fe68fc55c/12941_2020_350_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20ef/7071750/80ea1f75394e/12941_2020_350_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20ef/7071750/20e3cccaaec0/12941_2020_350_Fig3_HTML.jpg

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