A Biosensing Strategy for Fast Profiling of Antibiotic Resistance. (2017)

• Record Type: Journal Article
• Authors: Mecklenburg, Michael; Chen, Qun; Andersson, Anneli; Xie, Bin
• Is Part Of: Procedia technology. Volume 27(2016)
• Page Start: 33
• Page End: 34
• Publication Date: 2017
• Subjects: β-lactamase -- antibiotics -- antibiotic resistance -- profiling -- thermal biosensor; Technology -- Congresses; Technology -- Periodicals; Engineering -- Congresses; Engineering -- Periodicals; Engineering; Technology; Conference proceedings; Periodicals; 605
• DOI: 10.1016/j.protcy.2017.04.016
• Languages: English
• ISSNs: 2212-0173

Abstract

Abstract: Antibiotic resistance threatens global public health. Clinical methods that simplify and accelerate resistance diagnosis are urgently needed. Here we describe a function-based antibiotic resistance detection and classification strategy to improve diagnosis. The method identifies resistance enzymes by directly measuring the thermal signal generated when an antibiotic i enzymatically degraded. A substrate specificity profile is created by analyzing a panel of antibiotics. Here we show proof of principle by differentiating two antibiotic resistance enzymes based on their substrate specificities profiles. The method provides a fast, simple, cost effective alternative for diagnosing and classifying antibiotic resistance.