Department of Urology, Stanford University School of Medicine, Stanford, California, USA.
J Urol. 2011 Jan;185(1):148-53. doi: 10.1016/j.juro.2010.09.022. Epub 2010 Nov 12.
A significant barrier to efficient antibiotic management of infection is that the standard diagnostic methodologies do not provide results at the point of care. The delays between sample collection and bacterial culture and antibiotic susceptibility reporting have led to empirical use of antibiotics, contributing to the emergence of drug resistant pathogens. As a key step toward the development of a point of care device for determining the antibiotic susceptibility of urinary tract pathogens, we report on a biosensor based antimicrobial susceptibility test.
For assay development bacteria were cultured with or without antibiotics, and growth was quantitated by determining viable counts and electrochemical biosensor measurement of bacterial 16S rRNA. To determine antibiotic susceptibility directly from patient samples, urine was cultured on antibiotic plates for 2.5 hours and growth was determined by electrochemical measurement of bacterial 16S rRNA. For assay validation 252 urine samples were collected from patients at the Spinal Cord Injury Service at Veterans Affairs Palo Alto Health Care System. The biosensor based antimicrobial susceptibility test was completed for samples containing gram-negative organisms. Pathogen identification and antibiotic susceptibility results were compared between our assay and standard microbiological analysis.
A direct biosensor quantitation of bacterial 16S rRNA can be used to monitor bacterial growth for a biosensor based antimicrobial susceptibility test. Clinical validation of a biosensor based antimicrobial susceptibility test with patient urine samples demonstrated that this test was 94% accurate in 368 pathogen-antibiotic tests compared to standard microbiological analysis.
This biosensor based antimicrobial susceptibility test, in concert with our previously described pathogen identification assay, can provide culture and susceptibility information directly from a urine sample within 3.5 hours.
高效管理感染抗生素的一个重大障碍是,标准诊断方法无法在护理点提供结果。从采集样本到细菌培养和抗生素药敏报告之间的延迟导致了抗生素的经验性使用,从而导致了耐药病原体的出现。作为开发用于确定尿路感染病原体抗生素敏感性的即时检测设备的关键步骤,我们报告了一种基于生物传感器的抗生素药敏试验。
为了开发测定,将细菌与或不与抗生素一起培养,并通过确定活菌计数和细菌 16S rRNA 的电化学生物传感器测量来定量生长。为了直接从患者样本中确定抗生素敏感性,将尿液在抗生素平板上培养 2.5 小时,并通过细菌 16S rRNA 的电化学生物传感器测量来确定生长。为了验证,从退伍军人事务帕洛阿尔托保健系统脊髓损伤服务处的患者中收集了 252 份尿液样本。完成了含有革兰氏阴性菌的样本的基于生物传感器的抗生素药敏试验。我们的测定与标准微生物分析之间比较了病原体鉴定和抗生素敏感性结果。
基于生物传感器的细菌 16S rRNA 的直接定量可用于监测基于生物传感器的抗生素药敏试验的细菌生长。用患者尿液样本对基于生物传感器的抗生素药敏试验进行临床验证表明,与标准微生物分析相比,该试验在 368 种病原体-抗生素试验中有 94%的准确率。
这种基于生物传感器的抗生素药敏试验与我们之前描述的病原体鉴定测定相结合,可以在 3.5 小时内直接从尿液样本中提供培养和药敏信息。