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Diagnosing Antibiotic Resistance Using Nucleic Acid Enzymes and Gold Nanoparticles

2021; American Chemical Society; Volume: 15; Issue: 6 Linguagem: Inglês

10.1021/acsnano.0c09902

1936-086X

Mohamed A. Abdou Mohamed, H Kozłowski, Jisung Kim, Kyryl Zagorovsky, Melinda Kántor, Jordan J. Feld, Samira Mubareka, Tony Mazzulli, Warren C. W. Chan,

Antibiotic Resistance in Bacteria

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.