A novel imaging technique, Antimicrobial Single-Cell Testing (ASCT), accurately predicts treatment outcomes for mycobacterial infections by quantifying antibiotic efficacy at the single-cell level. This study, led by Lucas Boeck, PhD, identifies drug tolerance as a genetically encoded trait that significantly influences clinical outcomes. The ASCT methodology involves immobilizing mycobacteria and capturing extensive imaging data, revealing correlations between treatment regimens and patient response, advancing personalized therapy despite limitations in capturing host-related variables.
1. ASCT accurately predicts treatment outcomes for mycobacterial infections. 2. Drug tolerance is genetically encoded and impacts clinical efficacy. 3. The method utilizes high-throughput imaging. 4. Tolerance to antibiotics varies by strain. 5. ASCT shows better predictive power than traditional MIC tests. 6. Study validated nearly 1 million images for analysis. 7. Host immunity and drug delivery factors are not captured by ASCT.
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