Rohani Ali, Moore John H, Su Yi-Hsuan, Stagnaro Victoria, Warren Cirle, Swami Nathan S
Electrical & Computer Engineering, University of Virginia.
Infectious Diseases, School of Medicine, University of Virginia.
Sens Actuators B Chem. 2018 Dec 10;276:472-480. doi: 10.1016/j.snb.2018.08.137. Epub 2018 Aug 28.
Current methods for measurement of antibiotic susceptibility of pathogenic bacteria are highly reliant on microbial culture, which is time consuming (requires > 16 hours), especially at near minimum inhibitory concentration (MIC) levels of the antibiotic. We present the use of single-cell electrophysiology-based microbiological analysis for rapid phenotypic identification of antibiotic susceptibility at near-MIC levels, without the need for microbial culture. () is the single most common cause of antibiotic-induced enteric infection and disease recurrence is common after antibiotic treatments to suppress the pathogen. Herein, we show that de-activation of after MIC-level vancomycin treatment, as validated by microbiological growth assays, can be ascertained rapidly by measuring alterations to the microbial cytoplasmic conductivity that is gauged by the level of positive dielectrophoresis (pDEP) and the frequency spectra for co-field electro-rotation (ROT). Furthermore, this single-cell electrophysiology technique can rapidly identify and quantify the live subpopulation after vancomycin treatment at sub-MIC levels, whereas methods based on measurement of the secreted metabolite toxin or the microbiological growth rate can identify this persistent subpopulation only after 24 hours of microbial culture, without any ability to quantify the subpopulation. The application of multiplexed versions of this technique is envisioned for antibiotic susceptibility screening.
目前用于测量病原菌抗生素敏感性的方法高度依赖于微生物培养,这很耗时(需要超过16小时),尤其是在抗生素接近最低抑菌浓度(MIC)水平时。我们展示了基于单细胞电生理学的微生物分析方法,可在接近MIC水平时快速进行抗生素敏感性的表型鉴定,而无需微生物培养。()是抗生素诱导的肠道感染最常见的单一病因,并且在使用抗生素治疗抑制病原体后疾病复发很常见。在此,我们表明,经微生物生长试验验证,在MIC水平的万古霉素治疗后,通过测量由正介电泳(pDEP)水平和共场电旋转(ROT)频谱测量的微生物细胞质电导率的变化,可以快速确定的失活情况。此外,这种单细胞电生理学技术可以在低于MIC水平的万古霉素治疗后快速识别和量化活的亚群,而基于分泌代谢物毒素测量或微生物生长速率的方法只能在微生物培养24小时后识别出这种持续存在的亚群,并且没有任何量化亚群的能力。设想将该技术的多重版本应用于抗生素敏感性筛选。