Real-time evaluation of macozinone activity against <i>Mycobacterium tuberculosis</i> through bacterial nanomotion analysis
Novel drugs and improved diagnostics for <i>Mycobacterium tuberculosis</i> (MTB) are urgently needed and go hand in hand. We evaluated the <i>in vitro</i> activity of two benzothiazinone drug candidates (MCZ, PBTZ169; BTZ043) and their main metabolites against MTB using advanced nanomotion technology. The results demonstrated significant reductions in MTB viability within 7 h, indicating the potential for rapid, precise antibiotic susceptibility testing based on a phenotypic read-out in real time. PBTZ169 and H<sub>2</sub>-PBTZ169 achieved 100% separation between the susceptible H37Rv and a resistant <i>dprE1</i> mutant strain NTB1. These findings support nanomotion technology's potential for faster antibiotic susceptibility testing of novel MTB drug candidates targeting the DprE1 enzyme that could reduce empirical treatment duration and antibiotic resistance selection pressure due to inaccurate treatments.
Authors
- Alexander Sturm (ORCID: https://orcid.org/0000-0002-3818-0428)
- Vadim Makarov (ORCID: https://orcid.org/0000-0001-8746-2694)
- Danuta Cichocka (ORCID: https://orcid.org/0000-0002-1616-331X)
- Anthony Vocat
- Claudia Antoni (ORCID: https://orcid.org/0000-0002-0612-7622)
- Olga Riabova (ORCID: https://orcid.org/0000-0002-3794-6495)
- Stewart Thomas Cole (ORCID: https://orcid.org/0000-0003-1400-5585)
- Onya Opota (ORCID: https://orcid.org/0000-0002-5421-0607)
- Gilbert Greub (ORCID: https://orcid.org/0000-0001-9529-3317)
- Gino Cathomen (ORCID: https://orcid.org/0009-0006-1362-3399)
- Amanda Luraschi-Eggemann
- Alfonso Mendoza
Institutions
- Czech Academy of Sciences, Institute of Microbiology (CZ)
- Innovative Medicines for Tuberculosis Foundation (CH)
- University of Lausanne (CH)
Publication Details
- Journal
- Antimicrobial Agents and Chemotherapy
- Published
- 2024-11-27
- DOI
- https://doi.org/10.1128/aac.01318-24
- Citations
- 5
- Primary Topic
- Bacterial biofilms and quorum sensing
- Type
- article
- Field-Weighted Citation Impact
- 1.17
Funders
- Università degli Studi di Pavia