Nature MicrobiologyMicrobiologyPeer-reviewed journal article
Antibiotic lethality dictates mycobacterial infection outcomes
Alexander Jovanovic, Frederick K. BrightiD, Ahmad Sadeghi, Basil WickiiD, Santiago E. Caño MuñiziD, Greta C. GianniniiD, Sara Toprak, Loïc SauteuriD, Anna Rodoni, Andreas Wüst, Andréanne LupieniD, Sònia BorrelliD, Dorothy GrogonoiD, Nicole E. WheeleriD, Philippe DehioiD, Johannes NemethiD, Hans ParggeriD, Rachel Mary ThomsoniD, Scott Cameron BelliD, Sébastien GagneuxiD, Josephine M. BryantiD, Tingying PengiD, Andreas H. Diacon, R. Andrés FlotoiD, Michael L. Abanto, Lucas BoeckiD
Abstract
Antibiotic development and treatment focus on bacterial growth inhibition, often with limited success. Here, we introduce Antimicrobial Single-Cell Testing (ASCT), an advanced imaging strategy to assess bacterial killing in real-time. By tracking 140 million bacteria and generating over 20,000 in vitro time-kill curves, we can predict Mycobacterium tuberculosis treatment outcomes in mice and humans and link strain-specific survival (drug tolerance) in Mycobacterium abscessus to clinical responses. Using ASCT, we reveal drug tolerance as a distinct genetically encoded bacterial trait conserved across drugs with similar targets and, via genome-wide associations, uncover molecular mechanisms that govern bacterial killing. This study establishes the technical framework and in vivo validation for large-scale bacterial killing assessments to advance our understanding of bacterial survival, antibiotic development and clinical decision-making.
- organism: human
- organism: mouse
- assay: imaging
- research focus: drug response / drug discovery
- research focus: cell type annotation
- research focus: differential expression
- approach: experimental assay
- Citations
- 13
- FWCI
- 40.21
- Field percentile
- top 1%
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