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Anti-tuberculosis Compound Screen using a Zebrafish Infection Model identifies an Aspartyl-tRNA Synthetase Inhibitor.

Eva HabjanVien Q T HoJames GallantGunny Van StempvoortKin Ki JimCoen KuijlDaan P GeerkeWilbert BitterAlexander Speer
Published in: Disease models & mechanisms (2021)
Finding new anti-tuberculosis compounds with convincing in vivo activity is an ongoing global challenge to fight the emergence of multi-drug resistant Mycobacterium tuberculosis isolates. In this work, 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-TB 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 possible binding of TBA161 in a pocket adjacent to the catalytic site. This study showed that the zebrafish-infection model is suitable to rapidly identify promising scaffolds with in vivo activity.
Keyphrases
  • mycobacterium tuberculosis
  • drug resistant
  • molecular docking
  • pulmonary tuberculosis
  • multidrug resistant
  • emergency department
  • gene expression
  • cystic fibrosis
  • acinetobacter baumannii