cAST: Capillary-Based Platform for Real-Time Phenotypic Antimicrobial Susceptibility Testing

Ruisheng Wang1, Sasank Vemulapati2, Lars F Westblade3,4

  • 1Meinig School of Biomedical Engineering , Cornell University , Ithaca , New York 14853 , United States.

Analytical Chemistry
|January 17, 2020
PubMed

Insights

Antimicrobial resistance (AMR) poses a major public health threat. A new capillary-based antimicrobial susceptibility testing (cAST) platform provides rapid, low-cost results within 4-8 hours, aiding evidence-based treatment.

Area of Science:

  • Microbiology
  • Public Health
  • Medical Diagnostics

Background:

  • Antimicrobial resistance (AMR) is a significant global health concern, causing millions of infections and substantial healthcare costs.
  • Overprescription of antimicrobials and limited diagnostic tools contribute to the rise of AMR.
  • Rapid and accurate diagnostics are crucial for timely, evidence-based treatment, especially in resource-limited point-of-care settings.

Purpose of the Study:

  • To develop and validate a novel capillary-based antimicrobial susceptibility testing (cAST) platform.
  • To provide a low-cost, simple, and rapid diagnostic method for AMR detection.
  • To enable point-of-care testing in resource-limited environments.

Main Methods:

  • Development of a capillary-based platform (cAST) using off-the-shelf and 3D-printed components.
  • Utilized optical assessment of bacteria incubated with resazurin dye in capillaries.
  • Compared bacterial growth rates and diagnostic performance against conventional microplate methods using clinical isolates.

Main Results:

  • The cAST platform demonstrated a 25% faster bacterial growth rate compared to conventional microplates.
  • Accurate antimicrobial susceptibility test results were achieved within 4-8 hours.
  • The platform's design is suitable for resource-limited settings.

Conclusions:

  • The capillary-based antimicrobial susceptibility testing (cAST) platform offers a rapid, low-cost, and accessible solution for AMR diagnostics.
  • cAST facilitates expedited, evidence-based treatment decisions at the point-of-care.
  • This technology has the potential to mitigate the impact of antimicrobial resistance in diverse healthcare settings.