核酸
金黄色葡萄球菌
抗生素耐药性
细菌
抗菌剂
SCCmec公司
致病菌
限制
微生物学
生物化学
抗生素
耐甲氧西林金黄色葡萄球菌
生物
机械工程
遗传学
工程类
作者
Mohamed A. Abdou Mohamed,H Kozłowski,Jisung Kim,Kyryl Zagorovsky,Melinda Kántor,Jordan J. Feld,Samira Mubareka,Tony Mazzulli,Warren C. W. Chan
出处
期刊:ACS Nano
[American Chemical Society]
日期:2021-05-10
卷期号:15 (6): 9379-9390
被引量:72
标识
DOI:10.1021/acsnano.0c09902
摘要
The rapid and accurate detection of antimicrobial resistance is critical to limiting the spread of infections and delivering effective treatments. Here, we developed a rapid, sensitive, and simple colorimetric nanodiagnostic platform to identify disease-causing pathogens and their associated antibiotic resistance genes within 2 h. The platform can detect bacteria from different biological samples (i.e., blood, wound swabs) with or without culturing. We validated the multicomponent nucleic acid enzyme-gold nanoparticle (MNAzyme-GNP) platform by screening patients with central line associated bloodstream infections and achieved a clinical sensitivity and specificity of 86% and 100%, respectively. We detected antibiotic resistance in methicillin-resistant Staphylococcus aureus (MRSA) in patient swabs with 90% clinical sensitivity and 95% clinical specificity. Finally, we identified mecA resistance genes in uncultured nasal, groin, axilla, and wound swabs from patients with 90% clinical sensitivity and 95% clinical specificity. The simplicity and versatility for detecting bacteria and antibiotic resistance markers make our platform attractive for the broad screening of microbial pathogens.
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