Phenotypic microbial response to antimicrobial exposure conditions with a molecular analysis quantification of species-specific 16S rRNA content

通过分子分析定量物种特异性16S rRNA含量,研究微生物对抗菌药物暴露的表型反应。

阅读:1

Abstract

The emergence and rapid spread of resistant bacteria has become a serious public health concern worldwide. Delayed antimicrobial therapy significantly increases mortality in high-risk infections with a particularly strong association with septic shock. Therefore, antimicrobial agents are often injudiciously used without any evidence-based microbiological confirmation. Antimicrobial consumption is strongly linked to the emergence and dissemination of antimicrobial-resistant bacteria strains in several epidemiological studies. According to CDC's recent publication, an estimated 30% of outpatient oral antimicrobial prescriptions may have been inappropriate. A compact and rapid pathogen identification (ID) and antimicrobial susceptibility testing (AST) can assist to address both the unnecessary use and overuse of antimicrobials, and therefore effectively reduce antimicrobial resistance. The overall goal of these AST protocols is to deliver a molecular diagnostic platform that is capable of profiling the antimicrobial susceptibility of causative pathogens in hours, not days. The presented AST utilizes an electrochemical sensor to quantify the microbial changes of 16S rRNA after exposure to various antimicrobial conditions either from clinical isolates or directly from unprocessed clinical specimens such as urine and blood. These protocols can be performed by our robotic lab automation systems or manual benchtop assays with associated reagent kits, AST stripwells and sensor chips.•A rapid, quantifiable antimicrobial efficacy profiling comparable to traditional AST reporting.•Customized antimicrobials and dilution ranges tailored to unique specifications for research and development.•Direct antimicrobial susceptibility of viable pathogen from whole blood, urine, or subculture.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。