Literature DB >> 28494870

Nontargeted Metabolomics Reveals the Multilevel Response to Antibiotic Perturbations.

Mattia Zampieri1, Michael Zimmermann2, Manfred Claassen2, Uwe Sauer3.   

Abstract

Microbes have shown a remarkable ability in evading the killing actions of antimicrobial agents, such that treatment of bacterial infections represents once more an urgent global challenge. Understanding the initial bacterial response to antimicrobials may reveal intrinsic tolerance mechanisms to antibiotics and suggest alternative and less conventional therapeutic strategies. Here, we used mass spectrometry-based metabolomics to monitor the immediate metabolic response of Escherichia coli to a variety of antibiotic perturbations. We show that rapid metabolic changes can reflect drug mechanisms of action and reveal the active role of metabolism in mediating the first stress response to antimicrobials. We uncovered a role for ammonium imbalance in aggravating chloramphenicol toxicity and the essential function of deoxythymidine 5'-diphosphate (dTDP)-rhamnose synthesis for the immediate transcriptional upregulation of GyrA in response to quinolone antibiotics. Our results suggest bacterial metabolism as an attractive target to interfere with the early bacterial response to antibiotic treatments and reduce the probability for survival and eventual evolution of antibiotic resistance.
Copyright © 2017 The Author(s). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  E. coli; ammonium imbalance; antibiotic response; antibiotic tolerance; chloramphenicol; dTDP-rhamnose; metabolomics; quinolones

Mesh:

Substances:

Year:  2017        PMID: 28494870     DOI: 10.1016/j.celrep.2017.04.002

Source DB:  PubMed          Journal:  Cell Rep            Impact factor:   9.423


  49 in total

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2.  Transcriptional Regulation Contributes to Prioritized Detoxification of Hydrogen Peroxide over Nitric Oxide.

Authors:  Kristin J Adolfsen; Wen Kang Chou; Mark P Brynildsen
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Review 4.  Bacterial Vivisection: How Fluorescence-Based Imaging Techniques Shed a Light on the Inner Workings of Bacteria.

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5.  High-throughput metabolomic analysis predicts mode of action of uncharacterized antimicrobial compounds.

Authors:  Mattia Zampieri; Balazs Szappanos; Maria Virginia Buchieri; Andrej Trauner; Ilaria Piazza; Paola Picotti; Sébastien Gagneux; Sonia Borrell; Brigitte Gicquel; Joel Lelievre; Balazs Papp; Uwe Sauer
Journal:  Sci Transl Med       Date:  2018-02-21       Impact factor: 17.956

Review 6.  Antibiotic efficacy-context matters.

Authors:  Jason H Yang; Sarah C Bening; James J Collins
Journal:  Curr Opin Microbiol       Date:  2017-10-16       Impact factor: 7.934

7.  A White-Box Machine Learning Approach for Revealing Antibiotic Mechanisms of Action.

Authors:  Jason H Yang; Sarah N Wright; Meagan Hamblin; Douglas McCloskey; Miguel A Alcantar; Lars Schrübbers; Allison J Lopatkin; Sangeeta Satish; Amir Nili; Bernhard O Palsson; Graham C Walker; James J Collins
Journal:  Cell       Date:  2019-05-09       Impact factor: 41.582

8.  Model-based integration of genomics and metabolomics reveals SNP functionality in Mycobacterium tuberculosis.

Authors:  Ove Øyås; Sonia Borrell; Andrej Trauner; Michael Zimmermann; Julia Feldmann; Thomas Liphardt; Sebastien Gagneux; Jörg Stelling; Uwe Sauer; Mattia Zampieri
Journal:  Proc Natl Acad Sci U S A       Date:  2020-03-30       Impact factor: 11.205

9.  Mode-of-action profiling reveals glutamine synthetase as a collateral metabolic vulnerability of M. tuberculosis to bedaquiline.

Authors:  Zhe Wang; Vijay Soni; Gwendolyn Marriner; Takushi Kaneko; Helena I M Boshoff; Clifton E Barry; Kyu Y Rhee
Journal:  Proc Natl Acad Sci U S A       Date:  2019-09-09       Impact factor: 11.205

10.  Composite score analysis for unsupervised comparison and network visualization of metabolomics data.

Authors:  Joshua J Kellogg; Olav M Kvalheim; Nadja B Cech
Journal:  Anal Chim Acta       Date:  2019-10-16       Impact factor: 6.558

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