| Literature DB >> 35326832 |
Li Zhu1, Annie Wing-Tung Lee1, Kelvin Ka-Lok Wu1, Peng Gao2, Kingsley King-Gee Tam2, Rahim Rajwani1, Galata Chala Chaburte1, Timothy Ting-Leung Ng1, Chloe Toi-Mei Chan1, Hiu Yin Lao1, Wing Cheong Yam2, Richard Yi-Tsun Kao2, Gilman Kit Hang Siu1.
Abstract
The emergence of multidrug-resistant strains and hyper-virulent strains of Mycobacterium tuberculosis are big therapeutic challenges for tuberculosis (TB) control. Repurposing bioactive small-molecule compounds has recently become a new therapeutic approach against TB. This study aimed to identify novel anti-TB agents from a library of small-molecule compounds via a rapid screening system. A total of 320 small-molecule compounds were used to screen for their ability to suppress the expression of a key virulence gene, phop, of the M. tuberculosis complex using luminescence (lux)-based promoter-reporter platforms. The minimum inhibitory and bactericidal concentrations on drug-resistant M. tuberculosis and cytotoxicity to human macrophages were determined. RNA sequencing (RNA-seq) was conducted to determine the drug mechanisms of the selected compounds as novel antibiotics or anti-virulent agents against the M. tuberculosis complex. The results showed that six compounds displayed bactericidal activity against M. bovis BCG, of which Ebselen demonstrated the lowest cytotoxicity to macrophages and was considered as a potential antibiotic for TB. Another ten compounds did not inhibit the in vitro growth of the M. tuberculosis complex and six of them downregulated the expression of phoP/R significantly. Of these, ST-193 and ST-193 (hydrochloride) showed low cytotoxicity and were suggested to be potential anti-virulence agents for M. tuberculosis.Entities:
Keywords: Mycobacterium tuberculosis complex; anti-virulence agents; antibiotics; lux-based promoter-reporter platforms; small-molecule compounds
Year: 2022 PMID: 35326832 PMCID: PMC8944841 DOI: 10.3390/antibiotics11030369
Source DB: PubMed Journal: Antibiotics (Basel) ISSN: 2079-6382
Figure 1Construction and validation of the lux-based promoter-reporter platform. (A) pMV306G13+Lux. (B) pMV306PhoP+Lux. (C) Mean (± SD, n = 3) lux signal (in log lux) and OD600 in M. bovis BCG with and without (control) ETZ treatment at time 0 h and 24 h. (D) LuxA and phoP expression of M. bovis BCG with and without (control) ETZ treatment. Data are presented as means ± SD (n = 3) and analyzed using an unpaired t-test, *** p < 0.001 vs. BCG without ETZ treatment.
Figure 2Screening of 320 antiviral compounds and 3 anti-TB drugs. (A) OD600 and LUX of all samples with/without 4 h compound treatment in negative control platform of M. bovis BCG. (B) OD600 and LUX of all samples in the phoP promoter-reporter platform. Green dots represent BCG samples (including pMV306Adaptor+Lux) without any compound treatment. Red dots represent samples treated with the three anti-TB drugs. Blue dots represent samples treated with the 16 selected compounds, while black dots represent samples treated with other compounds. (C) Comparison of lux signals between the compound treatment and control samples. ** p < 0.01.
The MICs and MBCs of six compounds against BCG and MTB (n = 3).
| BCG | H37Rv | MDR-MTB | XDR-MTB | |||||
|---|---|---|---|---|---|---|---|---|
| Compounds | MIC (μM) | MBC (μM) | MIC (μM) | MBC (μM) | MIC (μM) | MBC (μM) | MIC (μM) | MBC (μM) |
|
| 50 | 100 | 100 | 200 | 50 | 100 | 50 | 50 |
|
| 100 | 200 | >400 | >400 | >400 | >400 | >400 | >400 |
|
| 25 | 100 | 200 | >400 | 200 | 400 | 200 | >400 |
|
| 25 | 50 | 50 | 100 | 25 | 50 | 25 | 50 |
|
| 25 | 50 | 50 | 100 | 25 | 100 | 25 | 100 |
|
| 12.5 | 25 | 25 | 50 | 25 | 50 | 25 | 50 |
Figure 3RNA-Seq transcriptome analysis and representative genes involved in the phoP- pathway. (A) Principal component analysis (PCA) of BCGs after treatment with 16 compounds in 3 groups based on the gene expression detected in all samples. (B) Heatmap showing a clustering analysis of gene expression levels for the three groups of BCGs (p < 0.05, FC > 2 or < 0.5). (C) Expression of phoP and phoR in S1, S2, D, and the control groups. Data are presented as means ± SD (n = 6 for S1 and D, n = 4 for S2, and n = 1 for the control group) and were analyzed using a two-way ANOVA, * p < 0.05, *** p < 0.001, while those without a label have no significances. (D) The expression of genes regulated by phoP/R in BCGs after treatment with the 16 compounds.
Figure 4Molecular regulation associated with the anti-virulence process. (A) Volcano plot of the DEGs between D and S. (B) Volcano plot of the DEGs between D and S2. (C) Molecular functions and biological processes enriched in the DEGs for the survival groups.
Figure 5LDH results in 16 compounds in THP-1 cells. (A) Cell viability after being treated with drugs in the S1 group. (B) Cell viability after being treated with drugs in the S2 group. (C) Cell viability after being treated with drugs in the D group. Data are presented as means ± SD (n = 3).