Diagnosing Antibiotic Resistance Using Nucleic Acid Enzymes and Gold Nanoparticles

Mohamed A. Abdou Mohamed, Hannah N. Kozlowski, Jisung Kim, Kyryl Zagorovsky, Melinda Kantor, Jordan J. Feld, Samira Mubareka, Tony Mazzulli, Warren C.W. Chan*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

57 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)9379-9390
Number of pages12
JournalACS Nano
Volume15
Issue number6
DOIs
Publication statusPublished - Jun 22 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
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ASJC Scopus Subject Areas

  • General Materials Science
  • General Engineering
  • General Physics and Astronomy

Keywords

  • antibiotic resistance
  • central line infection
  • DNAzyme
  • gold nanoparticles
  • MRSA
  • RPA
  • sepsis

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