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Automated and miniaturized screening of antibiotic combinations via robotic-printed combinatorial droplet platform
- Source :
- Acta Pharmaceutica Sinica B, Vol 14, Iss 4, Pp 1801-1813 (2024)
- Publication Year :
- 2024
- Publisher :
- Elsevier, 2024.
-
Abstract
- Antimicrobial resistance (AMR) has become a global health crisis in need of novel solutions. To this end, antibiotic combination therapies, which combine multiple antibiotics for treatment, have attracted significant attention as a potential approach for combating AMR. To facilitate advances in antibiotic combination therapies, most notably in investigating antibiotic interactions and identifying synergistic antibiotic combinations however, there remains a need for automated high-throughput platforms that can create and examine antibiotic combinations on-demand, at scale, and with minimal reagent consumption. To address these challenges, we have developed a Robotic-Printed Combinatorial Droplet (RoboDrop) platform by integrating a programmable droplet microfluidic device that generates antibiotic combinations in nanoliter droplets in automation, a robotic arm that arranges the droplets in an array, and a camera that images the array of thousands of droplets in parallel. We further implement a resazurin-based bacterial viability assay to accelerate our antibiotic combination testing. As a demonstration, we use RoboDrop to corroborate two pairs of antibiotics with known interactions and subsequently identify a new synergistic combination of cefsulodin, penicillin, and oxacillin against a model E. coli strain. We therefore envision RoboDrop becoming a useful tool to efficiently identify new synergistic antibiotic combinations toward combating AMR.
Details
- Language :
- English
- ISSN :
- 22113835
- Volume :
- 14
- Issue :
- 4
- Database :
- Directory of Open Access Journals
- Journal :
- Acta Pharmaceutica Sinica B
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.6329bace034a43b98ea4ae5ea9ca19c8
- Document Type :
- article
- Full Text :
- https://doi.org/10.1016/j.apsb.2023.11.027