Department of Bio-Sciences, Medical and Biological Computing Laboratory, School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
J Cell Biochem. 2019 Sep;120(9):14499-14509. doi: 10.1002/jcb.28711. Epub 2019 Apr 15.
The emergence of multidrug resistance (MDR), extensively drug-resistant, and total drug-resistant Mycobacterium tuberculosis (Mtb) strains have hampered the treatment of tuberculosis (TB). Capreomycin and Bedaquiline are currently used for MDR-TB treatment. To understand the impact of these antibiotics on Mtb genes, we have curated the gene expression data where the Mtb cultures were exposed to the Bedaquiline and Capreomycin. Based on the P value cut off (<0.05) and logFC (<-0.5 and >+0.5) values, we have selected the top differentially expressed genes during the antibiotic exposures. We have observed that the top differentially expressed Mtb genes were related to universal stress genes, two-component regulatory systems, and drug efflux pumps. We have curated the Mtb gene datasets and carried out the functional over-representation analysis using the individual gene expression values. We further, constructed the gene interaction networks of antibiotic resistance genes and virulence genes of Mtb to understand the impact of the antibiotics at the molecular level and thus to understand the antimicrobial resistance and virulence patterns. Our study elucidates the impact of antibiotics on the Mtb genes at the molecular level and the positively enriched pathways, operons, and regulons data are helpful in understanding the resistance patterns in Mtb. The upregulated genes during the exposure of Bedaquiline and Capreomycin can be considered as potent drug targets for the development of new anti-TB drugs.
多药耐药性(MDR)、广泛耐药性和完全耐药性结核分枝杆菌(Mtb)菌株的出现,给结核病(TB)的治疗带来了困难。目前,卡泊芬净和贝达喹啉用于治疗耐多药结核病(MDR-TB)。为了了解这些抗生素对 Mtb 基因的影响,我们整理了 Mtb 培养物暴露于贝达喹啉和卡泊芬净时的基因表达数据。根据 P 值截止值(<0.05)和 logFC 值(<-0.5 和>+0.5),我们选择了抗生素暴露期间表达差异最大的基因。我们观察到,表达差异最大的 Mtb 基因与普遍应激基因、双组分调控系统和药物外排泵有关。我们整理了 Mtb 基因数据集,并使用单个基因表达值进行了功能过表达分析。我们进一步构建了 Mtb 抗生素耐药基因和毒力基因的基因相互作用网络,以了解抗生素在分子水平上的影响,从而了解抗菌药物耐药性和毒力模式。我们的研究阐明了抗生素在分子水平上对 Mtb 基因的影响,阳性富集途径、操纵子和调控子数据有助于理解 Mtb 中的耐药模式。贝达喹啉和卡泊芬净暴露期间上调的基因可被视为开发新抗结核药物的有效药物靶点。