Detailed Information

Cited 4 time in webofscience Cited 5 time in scopus
Metadata Downloads

DS86760016, a Leucyl-tRNA Synthetase Inhibitor, Is Active against Mycobacterium abscessus

Authors
Nguyen, Thanh QuangHeo, Bo EunHanh, Bui Thi BichJeon, SeunghyeonPark, YujinChoudhary, ArunimaLee, SujinKim, Tae HoMoon, CheolMin, Sun-JoonJang, Jichan
Issue Date
Jun-2023
Publisher
American Society for Microbiology
Keywords
Mycobacterium abscessus; leucyl-tRNA; benzoxaboroles; epetraborole; DS86760016; mutation frequency; drug resistance
Citation
Antimicrobial Agents and Chemotherapy, v.67, no.6
Indexed
SCIE
SCOPUS
Journal Title
Antimicrobial Agents and Chemotherapy
Volume
67
Number
6
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/59651
DOI
10.1128/aac.01567-22
ISSN
0066-4804
1098-6596
Abstract
Benzoxaboroles are a new class of leucyl-tRNA synthetase inhibitors. Epetraborole, a benzoxaborole, is a clinical candidate developed for Gram-negative infections and has been confirmed to exhibit favorable activity against a well known pulmonary pathogen, Mycobacterium abscessus. However, according to , in 2017, a clinical phase II study on the use of epetraborole to treat complicated urinary tract and intra-abdominal infections was terminated due to the rapid emergence of drug resistance during treatment. Nevertheless, epetraborole is in clinical development for nontuberculous mycobacteria (NTM) disease especially for Mycobacterium avium complex-related pulmonary disease (MAC-PD). DS86760016, an epetraborole analog, was further demonstrated to have an improved pharmacokinetic profile, lower plasma clearance, longer plasma half-life, and higher renal excretion than epetraborole in animal models. In this study, DS86760016 was found to be similarly active against M. abscessus in vitro, intracellularly, and in zebrafish infection models with a low mutation frequency. These results expand the diversity of druggable compounds as new benzoxaborole-based candidates for treating M. abscessus diseases.
Files in This Item
There are no files associated with this item.
Appears in
Collections
자연과학대학 > Division of Life Sciences > Journal Articles
학과간협동과정 > 바이오의료빅데이터학과 > Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Jang, Ji Chan photo

Jang, Ji Chan
자연과학대학 (생명과학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE