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Updated: Mar 1, 2026

Stress-induced Antibiotic Susceptibility Testing on a Chip
Published on: January 8, 2014
Correcting a Fundamental Flaw in the Paradigm for Antimicrobial Susceptibility Testing
Selvi C Ersoy1, Douglas M Heithoff2, Lucien Barnes1
1Dept. of Molecular, Cellular and Developmental Biology, University of California, Santa Barbara, CA 93106, USA.
Standard antibiotic susceptibility testing (AST) inaccurately predicts drug effectiveness in vivo. Revised testing methods that mimic host environments accurately identify effective antibiotics for treating bacterial infections.
Area of Science:
- Microbiology
- Infectious Diseases
- Pharmacology
Background:
- Antibiotic resistance is a growing global health crisis.
- Current in vitro antimicrobial susceptibility testing (AST) methods do not accurately reflect in vivo conditions.
- This limitation leads to the misidentification of effective and ineffective antibiotic therapies.
Purpose of the Study:
- To evaluate the efficacy of standard AST versus a modified AST that mimics host environments.
- To identify key factors in host environments that influence antibiotic efficacy.
- To improve the predictive accuracy of AST for clinical antibiotic selection.
Main Methods:
- Standard AST was performed using conventional media.
- A modified AST was conducted using media supplemented with sodium bicarbonate to mimic host environments.
- Antibiotic efficacy was validated in mouse models of infection and sepsis.
Main Results:
- Standard AST incorrectly identified several antibiotics as ineffective or effective.
- Modified AST accurately predicted antibiotic efficacy in vivo, identifying drugs effective for bacterial clearance and host survival.
- Sodium bicarbonate supplementation was crucial for improving the predictive value of AST.
Conclusions:
- Standard AST is unreliable for predicting in vivo antibiotic efficacy.
- Host-mimicking AST, particularly with sodium bicarbonate, enhances the accuracy of antibiotic selection.
- This improved testing has the potential to optimize antibiotic development, testing, and prescription practices.
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