Omics of antimicrobials and antimicrobial resistance

被引:42
作者
Chernov, Vladislav M. [1 ,2 ]
Chernova, Olga A. [1 ,2 ]
Mouzykantovo, Alexey A. [1 ,2 ]
Lopukhov, Leonid L. [2 ]
Aminov, Rustam, I [2 ,3 ]
机构
[1] RAS, FRC Kazan Sci Ctr, Kazan Inst Biochem & Biophys, Kazan, Russia
[2] Kazan Volga Reg Fed Univ, Inst Fundamental Med & Biol, Kazan, Russia
[3] Univ Aberdeen, Sch Med Med Sci & Nutr, Appl Hlth Sci, Aberdeen, Scotland
基金
俄罗斯基础研究基金会;
关键词
Antimicrobials; antimicrobial resistance mechanisms; novel antimicrobials; genomics; transcriptomics; proteomics; metabolomics; OUTER-MEMBRANE VESICLES; ANTIBIOTIC-RESISTANCE; STAPHYLOCOCCUS-AUREUS; MASS-SPECTROMETRY; SMALL RNAS; UNCULTIVABLE MICROORGANISMS; MYCOBACTERIUM-TUBERCULOSIS; GEL-ELECTROPHORESIS; SYSTEMATIC ANALYSIS; BACTERIAL GENOMES;
D O I
10.1080/17460441.2019.1588880
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Introduction: The development of new antimicrobials has become an urgent priority because of a global challenge emerging from the rise of antimicrobial resistant pathogens. Areas covered: In this review, the authors discuss the opportunities offered by modern omics approaches to address the challenge and the use of this approach in antimicrobial development. Specifically, the authors focus on the role of omics technologies and bioinformatics for the revelation of the effects of antimicrobials in a variety of microbial cellular processes, as well as the identification of potential cellular targets, the mechanisms of antimicrobial resistance, and the development of new antimicrobials. Expert opinion: Prevention of antimicrobial resistance does not only depend on rational drug design such as narrow-spectrum antimicrobials but on several factors. It is the opinion of the authors that the use of a multi-omics bioinformatics approach should become an integral part of antimicrobial drug discovery as well as in the prevention of antimicrobial resistance.
引用
收藏
页码:455 / 468
页数:14
相关论文
共 148 条
  • [1] Bacterial Quorum Sensing and Microbial Community Interactions
    Abisado, Rhea G.
    Benomar, Saida
    Klaus, Jennifer R.
    Dandekar, Ajai A.
    Chandler, Josephine R.
    [J]. MBIO, 2018, 9 (03):
  • [2] A feed-forward loop between SroC and MgrR small RNAs modulates the expression of eptB and the susceptibility to polymyxin B in Salmonella Typhimurium
    Acuna, Lillian G.
    Jose Barros, M.
    Penaloza, Diego
    Rodas, Paula I.
    Paredes-Sabja, Daniel
    Fuentes, Juan A.
    Gil, Fernando
    Calderon, Ivan L.
    [J]. MICROBIOLOGY-SGM, 2016, 162 (11): : 1996 - 2004
  • [3] ADAM M, 2008, BMC EVOL BIOL, V8, DOI DOI 10.1186/1471-2148-8-52
  • [4] Genomic and functional techniques to mine the microbiome for novel antimicrobials and antimicrobial resistance genes
    Adu-Oppong, Boahemaa
    Gasparrini, Andrew J.
    Dantas, Gautam
    [J]. ANNALS OF THE NEW YORK ACADEMY OF SCIENCES, 2017, 1388 (01) : 42 - 58
  • [5] Metagenomics, Metatranscriptomics, and Metabolomics Approaches for Microbiome Analysis
    Aguiar-Pulido, Vanessa
    Huang, Wenrui
    Suarez-Ulloa, Victoria
    Cickovski, Trevor
    Mathee, Kalai
    Narasimhan, Giri
    [J]. EVOLUTIONARY BIOINFORMATICS, 2016, 12 : 5 - 16
  • [6] Comparative subtractive proteomics based ranking for antibiotic targets against the dirtiest superbug: Acinetobacter baumannii
    Ahmad, Sajjad
    Raza, Saad
    Uddin, Reaz
    Azam, Syed Sikander
    [J]. JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 2018, 82 : 74 - 92
  • [7] Analytical methods in untargeted metabolomics: state of the art in 2015
    Alonso, Arnald
    Marsal, Sara
    Julia, Antonio
    [J]. FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 2015, 3
  • [8] Therapeutic enhancement of newly derived bacteriocins against Giardia lamblia
    Amer, Eglal I.
    Mossallam, Shereen F.
    Mahrous, Hoda
    [J]. EXPERIMENTAL PARASITOLOGY, 2014, 146 : 52 - 63
  • [9] AMINOV RI, 2011, FRONT MICROBIOL, V2
  • [10] History of antimicrobial drug discovery: Major classes and health impact
    Aminov, Rustam
    [J]. BIOCHEMICAL PHARMACOLOGY, 2017, 133 : 4 - 19