Literature DB >> 30485749

Subcellular Quantification of Uptake in Gram-Negative Bacteria.

Hans Prochnow1, Verena Fetz1,2, Sven-Kevin Hotop1, Mariel A García-Rivera1, Axel Heumann1, Mark Brönstrup1,3.   

Abstract

Infections by Gram-negative pathogens represent a major health care issue of growing concern due to a striking lack of novel antibacterial agents over the course of the last decades. The main scientific problem behind the rational optimization of novel antibiotics is our limited understanding of small molecule translocation into, and their export from, the target compartments of Gram-negative species. To address this issue, a versatile, label-free assay to determine the intracellular localization and concentration of a given compound has been developed for Escherichia coli and its efflux-impaired ΔTolC mutant. The assay applies a fractionation procedure to antibiotic-treated bacterial cells to obtain periplasm, cytoplasm, and membrane fractions of high purity, as demonstrated by Western Blots of compartment-specific marker proteins. This is followed by an LC-MS/MS-based quantification of antibiotic content in each compartment. Antibiotic amounts could be converted to antibiotic concentrations by assuming that an E. coli cell is a cylinder flanked by two half spheres and calculating the volumes of bacterial compartments. The quantification of antibiotics from different classes, namely ciprofloxacin, tetracycline, trimethoprim, and erythromycin, demonstrated pronounced differences in uptake quantities and distribution patterns across the compartments. For example, in the case of ciprofloxacin, a higher amount of compound was located in the cytoplasm than in the periplasm (592 ± 50 pg vs 277 ± 13 pg per 3.9 × 109 cells), but owing to the smaller volume of the periplasmic compartment, its concentration in the cytoplasm was much lower (37 ± 3 vs 221 ± 10 pg/μL for the periplasm). For erythromycin and tetracycline, differences in MICs between WT and ΔTolC mutant strains were not reflected by equal differences in uptake, illustrating that additional experimental data are needed to predict antibiotic efficacy. We believe that our assay, providing the antibiotic concentration at the compartment in which the drug target is expressed, constitutes an essential piece of information for a more rational optimization of novel antibiotics against Gram-negative infections.

Entities:  

Year:  2018        PMID: 30485749     DOI: 10.1021/acs.analchem.8b03586

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  13 in total

Review 1.  Defining new chemical space for drug penetration into Gram-negative bacteria.

Authors:  Shibin Zhao; Justyna W Adamiak; Vincent Bonifay; Jitender Mehla; Helen I Zgurskaya; Derek S Tan
Journal:  Nat Chem Biol       Date:  2020-11-16       Impact factor: 15.040

Review 2.  Porins and small-molecule translocation across the outer membrane of Gram-negative bacteria.

Authors:  Julia Vergalli; Igor V Bodrenko; Muriel Masi; Lucile Moynié; Silvia Acosta-Gutiérrez; James H Naismith; Anne Davin-Regli; Matteo Ceccarelli; Bert van den Berg; Mathias Winterhalter; Jean-Marie Pagès
Journal:  Nat Rev Microbiol       Date:  2019-12-02       Impact factor: 60.633

Review 3.  An LC-MS/MS assay and complementary web-based tool to quantify and predict compound accumulation in E. coli.

Authors:  Emily J Geddes; Zhong Li; Paul J Hergenrother
Journal:  Nat Protoc       Date:  2021-09-03       Impact factor: 13.491

4.  Fast bacterial growth reduces antibiotic accumulation and efficacy.

Authors:  Urszula Łapińska; Margaritis Voliotis; Ka Kiu Lee; Adrian Campey; M Rhia L Stone; Brandon Tuck; Wanida Phetsang; Bing Zhang; Krasimira Tsaneva-Atanasova; Mark A T Blaskovich; Stefano Pagliara
Journal:  Elife       Date:  2022-06-07       Impact factor: 8.713

5.  Electrophysiological Characterization of Transport Across Outer-Membrane Channels from Gram-Negative Bacteria in Presence of Lipopolysaccharides.

Authors:  Jiajun Wang; Rémi Terrasse; Jayesh Arun Bafna; Lorraine Benier; Mathias Winterhalter
Journal:  Angew Chem Int Ed Engl       Date:  2020-03-24       Impact factor: 15.336

6.  Distribution of fluoroquinolones in the two aqueous compartments of Escherichia coli.

Authors:  Ankit Pandeya; Olaniyi Alegun; Yuguang Cai; Yinan Wei
Journal:  Biochem Biophys Rep       Date:  2020-11-13

7.  Role of internal loop dynamics in antibiotic permeability of outer membrane porins.

Authors:  Archit Kumar Vasan; Nandan Haloi; Rebecca Joy Ulrich; Mary Elizabeth Metcalf; Po-Chao Wen; William W Metcalf; Paul J Hergenrother; Diwakar Shukla; Emad Tajkhorshid
Journal:  Proc Natl Acad Sci U S A       Date:  2022-02-22       Impact factor: 12.779

8.  Dynamic interaction of fluoroquinolones with magnesium ions monitored using bacterial outer membrane nanopores.

Authors:  Jiajun Wang; Jigneshkumar Dahyabhai Prajapati; Ulrich Kleinekathöfer; Mathias Winterhalter
Journal:  Chem Sci       Date:  2020-08-31       Impact factor: 9.825

9.  The Influence of Permeability through Bacterial Porins in Whole-Cell Compound Accumulation.

Authors:  Silvia Acosta-Gutiérrez; Igor V Bodrenko; Matteo Ceccarelli
Journal:  Antibiotics (Basel)       Date:  2021-05-26

10.  Assessment of the rules related to gaining activity against Gram-negative bacteria.

Authors:  Henni-Karoliina Ropponen; Eleonora Diamanti; Alexandra Siemens; Boris Illarionov; Jörg Haupenthal; Markus Fischer; Matthias Rottmann; Matthias Witschel; Anna K H Hirsch
Journal:  RSC Med Chem       Date:  2021-03-03
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.