Literature DB >> 30989745

Impact of bedaquiline and capreomycin on the gene expression patterns of multidrug-resistant Mycobacterium tuberculosis H37Rv strain and understanding the molecular mechanism of antibiotic resistance.

Sravan Kumar Miryala1, Anand Anbarasu1, Sudha Ramaiah1.   

Abstract

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.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  antibiotic resistance; functional over-representation analysis; gene network; multidrug resistance; mycobacterium tuberculosis

Year:  2019        PMID: 30989745     DOI: 10.1002/jcb.28711

Source DB:  PubMed          Journal:  J Cell Biochem        ISSN: 0730-2312            Impact factor:   4.429


  5 in total

1.  Structural chemistry and molecular-level interactome reveals histidine kinase EvgS to subvert both antimicrobial resistance and virulence in Shigella flexneri 2a str. 301.

Authors:  Aniket Naha; Sudha Ramaiah
Journal:  3 Biotech       Date:  2022-09-03       Impact factor: 2.893

Review 2.  Mechanisms of Drug-Induced Tolerance in Mycobacterium tuberculosis.

Authors:  Sander N Goossens; Samantha L Sampson; Annelies Van Rie
Journal:  Clin Microbiol Rev       Date:  2020-10-14       Impact factor: 26.132

3.  Gene expression and DNA methylation analyses suggest that two immune related genes are prognostic factors of colorectal cancer.

Authors:  Xiao-Liang Xing; Zhi-Yong Yao; Chaoqun Xing; Zhi Huang; Jing Peng; Yuan-Wu Liu
Journal:  BMC Med Genomics       Date:  2021-04-28       Impact factor: 3.063

4.  A Novel Risk Factor Model Based on Glycolysis-Associated Genes for Predicting the Prognosis of Patients With Prostate Cancer.

Authors:  Kaixuan Guo; Cong Lai; Juanyi Shi; Zhuang Tang; Cheng Liu; Kuiqing Li; Kewei Xu
Journal:  Front Oncol       Date:  2021-09-14       Impact factor: 6.244

5.  The Involvement of Mycobacterium Type III-A CRISPR-Cas System in Oxidative Stress.

Authors:  Fan Yang; Lingqing Xu; Lujie Liang; Wanfei Liang; Jiachen Li; Daixi Lin; Min Dai; Dianrong Zhou; Yaxin Li; Yong Chen; Hui Zhao; Guo-Bao Tian; Siyuan Feng
Journal:  Front Microbiol       Date:  2021-12-09       Impact factor: 5.640

  5 in total

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