| Literature DB >> 28741927 |
Karan Syal1, Simon Shen1, Yunze Yang1, Shaopeng Wang1, Shelley E Haydel1, Nongjian Tao1.
Abstract
To combat antibiotic resistance, a rapid antibiotic susceptibility testing (AST) technology that can identify resistant infections at disease onset is required. Current clinical AST technologies take 1-3 days, which is often too slow for accurate treatment. Here we demonstrate a rapid AST method by tracking sub-μm scale bacterial motion with an optical imaging and tracking technique. We apply the method to clinically relevant bacterial pathogens, Escherichia coli O157: H7 and uropathogenic E. coli (UPEC) loosely tethered to a glass surface. By analyzing dose-dependent sub-μm motion changes in a population of bacterial cells, we obtain the minimum bactericidal concentration within 2 h using human urine samples spiked with UPEC. We validate the AST method using the standard culture-based AST methods. In addition to population studies, the method allows single cell analysis, which can identify subpopulations of resistance strains within a sample.Entities:
Keywords: antibiotic resistant; bacterial motion; bacterial viability; imaging diagnostics; microscopic urinalysis; rapid antimicrobial susceptibility test
Year: 2017 PMID: 28741927 DOI: 10.1021/acssensors.7b00392
Source DB: PubMed Journal: ACS Sens ISSN: 2379-3694 Impact factor: 7.711