Evidence map›Paper›PMID 34643222›Full record

ArticleDisease models & mechanisms2021

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

Eva Habjan, Vien Q T Ho, James Gallant, Gunny van Stempvoort, Kin Ki Jim, Coen Kuijl, Daan P Geerke, Wilbert Bitter, Alexander Speer

Open access · goldAbstract read
In one paragraph

Article in Disease models & mechanisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 26 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Eva HabjanDepartment of Medical Microbiology and Infection Control, Amsterdam UMC, Location Vrije Universiteit Medical Center, De Boelelaan 1108, 1081 HZ Amsterdam, The Netherlands.
Vien Q T HoDepartment of Medical Microbiology and Infection Control, Amsterdam UMC, Location Vrije Universiteit Medical Center, De Boelelaan 1108, 1081 HZ Amsterdam, The Netherlands.
James GallantSection Molecular Microbiology, Amsterdam Institute of Molecular and Life Sciences, Vrije Universiteit Amsterdam, De Boelelaan 1108, 1081 HZ Amsterdam, The Netherlands.
Gunny van StempvoortSection Molecular Microbiology, Amsterdam Institute of Molecular and Life Sciences, Vrije Universiteit Amsterdam, De Boelelaan 1108, 1081 HZ Amsterdam, The Netherlands.
Kin Ki JimDepartment of Medical Microbiology and Infection Control, Amsterdam UMC, Location Vrije Universiteit Medical Center, De Boelelaan 1108, 1081 HZ Amsterdam, The Netherlands.
Coen KuijlDepartment of Medical Microbiology and Infection Control, Amsterdam UMC, Location Vrije Universiteit Medical Center, De Boelelaan 1108, 1081 HZ Amsterdam, The Netherlands.
Daan P GeerkeDepartment of Molecular Toxicology, Amsterdam Institute of Molecular and Life Sciences, Vrije Universiteit Amsterdam, De Boelelaan 1108, 1081 HZ Amsterdam, The Netherlands.
Wilbert BitterDepartment of Medical Microbiology and Infection Control, Amsterdam UMC, Location Vrije Universiteit Medical Center, De Boelelaan 1108, 1081 HZ Amsterdam, The Netherlands.
Alexander SpeerDepartment of Medical Microbiology and Infection Control, Amsterdam UMC, Location Vrije Universiteit Medical Center, De Boelelaan 1108, 1081 HZ Amsterdam, The Netherlands.ORCID 0000-0001-7142-5987
Amsterdam University Medical Centers · NLVrije Universiteit Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Aspartate-tRNA LigaseMycobacterium tuberculosisTuberculosisAnimalsMolecular Docking SimulationZebrafishAspartate-tRNA LigaseAminoacyl-tRNA synthetaseDrug screeningInfection modelMycobacterium tuberculosisTuberculosisZebrafish

Identifiers

PMID34643222
PMCPMC8713996
OpenAlexW3207417464

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.