Adaptable microfluidic system for single-cell pathogen classification and antimicrobial susceptibility testing
Abstract
Drug-resistant pathogens are one of the major global health risks. However, conventional antimicrobial susceptibility testing (AST) approaches, which typically rely on overnight culture to isolate bacteria, require 3–5 days. Despite rapid pathogen identification techniques having been developed, the ability to rapidly determine bacteria susceptibility represents an unmet need in clinical microbiology. Existing rapid AST techniques are often designed based on a small panel of bacteria and the system neither provides information about the bacterial species nor distinguishes polymicrobial samples. By incorporating an adaptable microfluidic design, we demonstrate a phenotypic AST system that rapidly determines the existence of bacteria, classifies major classes of bacteria, detects polymicrobial samples, and identifies antimicrobial susceptibility directly from clinical samples at the single-cell level.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- May 08, 2019
- Source ID
- 10.1073/pnas.1819569116
Entities
People
- Chris Puleo
- Christine Surrette
- David W. Craft
- Hui Li
- Joseph C. Liao
- Kathleen E. Mach
- Matthew R. England
- Neal J. Thomas
- Pak Kin Wong
- Peter Torab
Organizations
- Defense Threat Reduction Agency
- National Institute of Allergy and Infectious Diseases
- Pennsylvania State University
- Stanford University