Literature DB >> 25756107

Bacterial responses to antibiotics and their combinations.

Karin Mitosch, Tobias Bollenbach.   

Abstract

Antibiotics affect bacterial cell physiology at many levels. Rather than just compensating for the direct cellular defects caused by the drug, bacteria respond to antibiotics by changing their morphology, macromolecular composition, metabolism, gene expression and possibly even their mutation rate. Inevitably, these processes affect each other, resulting in a complex response with changes in the expression of numerous genes. Genome-wide approaches can thus help in gaining a comprehensive understanding of bacterial responses to antibiotics. In addition, a combination of experimental and theoretical approaches is needed for identifying general principles that underlie these responses. Here, we review recent progress in our understanding of bacterial responses to antibiotics and their combinations, focusing on effects at the levels of growth rate and gene expression. We concentrate on studies performed in controlled laboratory conditions, which combine promising experimental techniques with quantitative data analysis and mathematical modeling. While these basic research approaches are not immediately applicable in the clinic, uncovering the principles and mechanisms underlying bacterial responses to antibiotics may, in the long term, contribute to the development of new treatment strategies to cope with and prevent the rise of resistant pathogenic bacteria.

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Year:  2014        PMID: 25756107     DOI: 10.1111/1758-2229.12190

Source DB:  PubMed          Journal:  Environ Microbiol Rep        ISSN: 1758-2229            Impact factor:   3.541


  5 in total

1.  Theoretical investigation of stochastic clearance of bacteria: first-passage analysis.

Authors:  Hamid Teimouri; Anatoly B Kolomeisky
Journal:  J R Soc Interface       Date:  2019-03-29       Impact factor: 4.118

Review 2.  Suppressive drug combinations and their potential to combat antibiotic resistance.

Authors:  Nina Singh; Pamela J Yeh
Journal:  J Antibiot (Tokyo)       Date:  2017-09-06       Impact factor: 2.649

3.  Efflux pump-deficient mutants as a platform to search for microbes that produce antibiotics.

Authors:  Carlos Molina-Santiago; Zulema Udaondo; Abdelali Daddaoua; Amalia Roca; Jesús Martín; Ignacio Pérez-Victoria; Fernando Reyes; Juan-Luis Ramos
Journal:  Microb Biotechnol       Date:  2015-06-08       Impact factor: 5.813

Review 4.  Genome-Wide Transcriptional Responses of Mycobacterium to Antibiotics.

Authors:  Julien Briffotaux; Shengyuan Liu; Brigitte Gicquel
Journal:  Front Microbiol       Date:  2019-02-20       Impact factor: 5.640

5.  Sublethal Concentrations of Antibiotics Cause Shift to Anaerobic Metabolism in Listeria monocytogenes and Induce Phenotypes Linked to Antibiotic Tolerance.

Authors:  Gitte M Knudsen; Arvid Fromberg; Yin Ng; Lone Gram
Journal:  Front Microbiol       Date:  2016-07-12       Impact factor: 5.640

  5 in total

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