Cargando…

An anti-tuberculosis compound screen using a zebrafish infection model identifies an aspartyl-tRNA synthetase inhibitor

Finding new anti-tuberculosis compounds with convincing in vivo activity is an ongoing global challenge to fight the emergence of multidrug-resistant Mycobacterium tuberculosis isolates. In this study, we exploited the medium-throughput capabilities of the zebrafish embryo infection model with Mycob...

Descripción completa

Detalles Bibliográficos
Autores principales: Habjan, Eva, Ho, Vien Q. T., Gallant, James, van Stempvoort, Gunny, Jim, Kin Ki, Kuijl, Coen, Geerke, Daan P., Bitter, Wilbert, Speer, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Company of Biologists Ltd 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8713996/
https://www.ncbi.nlm.nih.gov/pubmed/34643222
http://dx.doi.org/10.1242/dmm.049145
_version_ 1784623826856837120
author Habjan, Eva
Ho, Vien Q. T.
Gallant, James
van Stempvoort, Gunny
Jim, Kin Ki
Kuijl, Coen
Geerke, Daan P.
Bitter, Wilbert
Speer, Alexander
author_facet Habjan, Eva
Ho, Vien Q. T.
Gallant, James
van Stempvoort, Gunny
Jim, Kin Ki
Kuijl, Coen
Geerke, Daan P.
Bitter, Wilbert
Speer, Alexander
author_sort Habjan, Eva
collection PubMed
description Finding new anti-tuberculosis compounds with convincing in vivo activity is an ongoing global challenge to fight the emergence of multidrug-resistant Mycobacterium tuberculosis isolates. In this study, we exploited the medium-throughput capabilities of the zebrafish embryo infection model with Mycobacterium marinum as a surrogate for M. tuberculosis. Using a representative set of clinically established drugs, we demonstrate that this model could be predictive and selective for antibiotics that can be administered orally. We further used the zebrafish infection model to screen 240 compounds from an anti-tuberculosis hit library for their in vivo activity and identified 14 highly active compounds. One of the most active compounds was the tetracyclic compound TBA161, which was studied in more detail. Analysis of resistant mutants revealed point mutations in aspS (rv2572c), encoding an aspartyl-tRNA synthetase. The target was genetically confirmed, and molecular docking studies propose the possible binding of TBA161 in a pocket adjacent to the catalytic site. This study shows that the zebrafish infection model is suitable for rapidly identifying promising scaffolds with in vivo activity.
format Online
Article
Text
id pubmed-8713996
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher The Company of Biologists Ltd
record_format MEDLINE/PubMed
spelling pubmed-87139962021-12-29 An anti-tuberculosis compound screen using a zebrafish infection model identifies an aspartyl-tRNA synthetase inhibitor Habjan, Eva Ho, Vien Q. T. Gallant, James van Stempvoort, Gunny Jim, Kin Ki Kuijl, Coen Geerke, Daan P. Bitter, Wilbert Speer, Alexander Dis Model Mech Research Article Finding new anti-tuberculosis compounds with convincing in vivo activity is an ongoing global challenge to fight the emergence of multidrug-resistant Mycobacterium tuberculosis isolates. In this study, we exploited the medium-throughput capabilities of the zebrafish embryo infection model with Mycobacterium marinum as a surrogate for M. tuberculosis. Using a representative set of clinically established drugs, we demonstrate that this model could be predictive and selective for antibiotics that can be administered orally. We further used the zebrafish infection model to screen 240 compounds from an anti-tuberculosis hit library for their in vivo activity and identified 14 highly active compounds. One of the most active compounds was the tetracyclic compound TBA161, which was studied in more detail. Analysis of resistant mutants revealed point mutations in aspS (rv2572c), encoding an aspartyl-tRNA synthetase. The target was genetically confirmed, and molecular docking studies propose the possible binding of TBA161 in a pocket adjacent to the catalytic site. This study shows that the zebrafish infection model is suitable for rapidly identifying promising scaffolds with in vivo activity. The Company of Biologists Ltd 2021-12-23 /pmc/articles/PMC8713996/ /pubmed/34643222 http://dx.doi.org/10.1242/dmm.049145 Text en © 2021. Published by The Company of Biologists Ltd https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.
spellingShingle Research Article
Habjan, Eva
Ho, Vien Q. T.
Gallant, James
van Stempvoort, Gunny
Jim, Kin Ki
Kuijl, Coen
Geerke, Daan P.
Bitter, Wilbert
Speer, Alexander
An anti-tuberculosis compound screen using a zebrafish infection model identifies an aspartyl-tRNA synthetase inhibitor
title An anti-tuberculosis compound screen using a zebrafish infection model identifies an aspartyl-tRNA synthetase inhibitor
title_full An anti-tuberculosis compound screen using a zebrafish infection model identifies an aspartyl-tRNA synthetase inhibitor
title_fullStr An anti-tuberculosis compound screen using a zebrafish infection model identifies an aspartyl-tRNA synthetase inhibitor
title_full_unstemmed An anti-tuberculosis compound screen using a zebrafish infection model identifies an aspartyl-tRNA synthetase inhibitor
title_short An anti-tuberculosis compound screen using a zebrafish infection model identifies an aspartyl-tRNA synthetase inhibitor
title_sort anti-tuberculosis compound screen using a zebrafish infection model identifies an aspartyl-trna synthetase inhibitor
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8713996/
https://www.ncbi.nlm.nih.gov/pubmed/34643222
http://dx.doi.org/10.1242/dmm.049145
work_keys_str_mv AT habjaneva anantituberculosiscompoundscreenusingazebrafishinfectionmodelidentifiesanaspartyltrnasynthetaseinhibitor
AT hovienqt anantituberculosiscompoundscreenusingazebrafishinfectionmodelidentifiesanaspartyltrnasynthetaseinhibitor
AT gallantjames anantituberculosiscompoundscreenusingazebrafishinfectionmodelidentifiesanaspartyltrnasynthetaseinhibitor
AT vanstempvoortgunny anantituberculosiscompoundscreenusingazebrafishinfectionmodelidentifiesanaspartyltrnasynthetaseinhibitor
AT jimkinki anantituberculosiscompoundscreenusingazebrafishinfectionmodelidentifiesanaspartyltrnasynthetaseinhibitor
AT kuijlcoen anantituberculosiscompoundscreenusingazebrafishinfectionmodelidentifiesanaspartyltrnasynthetaseinhibitor
AT geerkedaanp anantituberculosiscompoundscreenusingazebrafishinfectionmodelidentifiesanaspartyltrnasynthetaseinhibitor
AT bitterwilbert anantituberculosiscompoundscreenusingazebrafishinfectionmodelidentifiesanaspartyltrnasynthetaseinhibitor
AT speeralexander anantituberculosiscompoundscreenusingazebrafishinfectionmodelidentifiesanaspartyltrnasynthetaseinhibitor
AT habjaneva antituberculosiscompoundscreenusingazebrafishinfectionmodelidentifiesanaspartyltrnasynthetaseinhibitor
AT hovienqt antituberculosiscompoundscreenusingazebrafishinfectionmodelidentifiesanaspartyltrnasynthetaseinhibitor
AT gallantjames antituberculosiscompoundscreenusingazebrafishinfectionmodelidentifiesanaspartyltrnasynthetaseinhibitor
AT vanstempvoortgunny antituberculosiscompoundscreenusingazebrafishinfectionmodelidentifiesanaspartyltrnasynthetaseinhibitor
AT jimkinki antituberculosiscompoundscreenusingazebrafishinfectionmodelidentifiesanaspartyltrnasynthetaseinhibitor
AT kuijlcoen antituberculosiscompoundscreenusingazebrafishinfectionmodelidentifiesanaspartyltrnasynthetaseinhibitor
AT geerkedaanp antituberculosiscompoundscreenusingazebrafishinfectionmodelidentifiesanaspartyltrnasynthetaseinhibitor
AT bitterwilbert antituberculosiscompoundscreenusingazebrafishinfectionmodelidentifiesanaspartyltrnasynthetaseinhibitor
AT speeralexander antituberculosiscompoundscreenusingazebrafishinfectionmodelidentifiesanaspartyltrnasynthetaseinhibitor