Publication

FAST: Rapid determinations of antibiotic susceptibility phenotypes using label-free cytometry

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Last modified
  • 05/14/2025
Type of Material
Authors
    Tzu-Hsueh Huang, Georgia Institute of TechnologyYih-Ling Tzeng, Emory UniversityRobert M. Dickson, Georgia Institute of Technology
Language
  • English
Date
  • 2018-06-01
Publisher
  • Wiley: 12 months
Publication Version
Copyright Statement
  • © 2018 International Society for Advancement of Cytometry.
Final Published Version (URL)
Title of Journal or Parent Work
ISSN
  • 1552-4922
Volume
  • 93A
Issue
  • 6
Start Page
  • 639
End Page
  • 648
Grant/Funding Information
  • The authors gratefully acknowledge support of these studies from the National Institutes of Health, Award number R01AI107116 and the Vasser-Woolley Foundation.
Supplemental Material (URL)
Abstract
  • Sepsis, a life-threatening immune response to blood infections (bacteremia), has a ∼30% mortality rate and is the 10th leading cause of US hospital deaths. The typical bacterial loads in adult septic patients are ≤100 bacterial cells (colony forming units, CFU) per ml blood, while pediatric patients exhibit only ∼1000 CFU/ml. Due to the low numbers, bacteria must be propagated through ∼24-hours blood cultures to generate sufficient CFUs for diagnosis and further analyses. Herein, we demonstrate that, unlike other rapid post-blood culture antibiotic susceptibility tests (ASTs), our phenotypic approach can drastically accelerate ASTs for the most common sepsis-causing gram-negative pathogens by circumventing long blood culture-based amplification. For all blood isolates of multi-drug resistant pathogens investigated (Escherichia coli, Klebsiella pneumoniae, and Acinetobacter nosocomialis), effective antibiotic(s) were readily identified within the equivalent of 8 hours from initial blood draw using <0.5 mL of adult blood per antibiotic. These methods should drastically improve patient outcomes by significantly reducing time to actionable treatment information and reduce the incidence of antibiotic resistance.
Author Notes
Keywords
Research Categories
  • Biology, Cell
  • Health Sciences, Medicine and Surgery
  • Chemistry, Biochemistry

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