Ravaynia, P. S. and Biendl, S. and Grassi, F. and Keiser, J. and Hierlemann, A. and Modena, M. M.. (2022) Real-time and automated monitoring of antischistosomal drug activity profiles for screening of compound libraries. iScience, 25 (4). p. 104087.
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Official URL: https://edoc.unibas.ch/90791/
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Abstract
Schistosomiasis is a neglected tropical disease that affects over 200 million people annually. As the antischistosomal drug pipeline is currently empty, repurposing of compound libraries has become a source for accelerating drug development, which demands the implementation of high-throughput and efficient screening strategies. Here, we present a parallelized impedance-based platform for continuous and automated viability evaluation of Schistosoma mansoni schistosomula in 128 microwells during 72 h to identify antischistosomal hits in vitro. By initially screening 57 repurposed compounds against larvae, five drugs are identified, which reduce parasite viability by more than 70%. The activity profiles of the selected drugs are then investigated via real-time dose-response monitoring, and four compounds reveal high potency and rapid action, which renders them suitable candidates for follow-up tests against adult parasites. The study shows that our device is a reliable tool for real-time drug screening analysis of libraries to identify new promising therapeutics against schistosomiasis.
Faculties and Departments: | 09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) 09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Medical Parasitology and Infection Biology (MPI) > Helminth Drug Development (Keiser) |
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UniBasel Contributors: | Biendl, Stefan and Keiser, Jennifer |
Item Type: | Article, refereed |
Article Subtype: | Research Article |
ISSN: | 2589-0042 (Electronic)2589-0042 (Linking) |
Note: | Publication type according to Uni Basel Research Database: Journal article |
Language: | English |
Related URLs: | |
Identification Number: |
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edoc DOI: | |
Last Modified: | 27 Dec 2022 21:08 |
Deposited On: | 27 Dec 2022 21:08 |
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