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Mechanism and resistance for antimycobacterial activity of a fluoroquinophenoxazine compound.

Pamela K GarciaThirunavukkarasu AnnamalaiWenjie WangRaven S BellDuc LePaula Martin PancorboSabah SikandarAhmed SeddekXufen YuDianqing SunAnne-Catrin UhlemannPurushottam B TiwariFenfei LengYuk-Ching Tse-Dinh
Published in: PloS one (2019)
We have previously reported the inhibition of bacterial topoisomerase I activity by a fluoroquinophenoxazine compound (FP-11g) with a 6-bipiperidinyl lipophilic side chain that exhibited promising antituberculosis activity (MIC = 2.5 μM against Mycobacterium tuberculosis, SI = 9.8). Here, we found that the compound is bactericidal towards Mycobacterium smegmatis, resulting in greater than 5 Log10 reduction in colony-forming units [cfu]/mL following a 10 h incubation at 1.25 μM (4X MIC) concentration. Growth inhibition (MIC = 50 μM) and reduction in cfu could also be observed against a clinical isolate of Mycobacterium abscessus. Stepwise isolation of resistant mutants of M. smegmatis was conducted to explore the mechanism of resistance. Mutations in the resistant isolates were identified by direct comparison of whole-genome sequencing data from mutant and wild-type isolates. These include mutations in genes likely to affect the entry and retention of the compound. FP-11g inhibits Mtb topoisomerase I and Mtb gyrase with IC50 of 0.24 and 27 μM, respectively. Biophysical analysis showed that FP-11g binds DNA as an intercalator but the IC50 for inhibition of Mtb topoisomerase I activity is >10 fold lower than the compound concentrations required for producing negatively supercoiled DNA during ligation of nicked circular DNA. Thus, the DNA-binding property of FP-11g may contribute to its antimycobacterial mechanism, but that alone cannot account for the observed inhibition of Mtb topoisomerase I.
Keyphrases
  • mycobacterium tuberculosis
  • pulmonary tuberculosis
  • wild type
  • dna binding
  • circulating tumor
  • single molecule
  • cell free
  • transcription factor
  • dna methylation
  • artificial intelligence
  • data analysis
  • ionic liquid