Literature DB >> 26730877

Small angle X-ray scattering as a high-throughput method to classify antimicrobial modes of action.

A R von Gundlach1, V M Garamus2, T Gorniak1, H A Davies3, M Reischl4, R Mikut4, K Hilpert5, A Rosenhahn1.   

Abstract

Multi-drug resistant bacteria are currently undermining our health care system worldwide. While novel antimicrobial drugs, such as antimicrobial peptides, are urgently needed, identification of new modes of action is money and time consuming, and in addition current approaches are not available in a high throughput manner. Here we explore how small angle X-ray scattering (SAXS) as high throughput method can contribute to classify the mode of action for novel antimicrobials and therefore supports fast decision making in drug development. Using data bases for natural occurring antimicrobial peptides or predicting novel artificial peptides, many candidates can be discovered that will kill a selected target bacterium. However, in order to narrow down the selection it is important to know if these peptides follow all the same mode of action. In addition, the mode of action should be different from conventional antibiotics, in consequence peptide candidates can be developed further into drugs against multi-drug resistant bacteria. Here we used one short antimicrobial peptide with unknown mode of action and compared the ultrastructural changes of Escherichia coli cells after treatment with the peptide to cells treated with classic antibiotics. The key finding is that SAXS as a structure sensitive tool provides a rapid feedback on drug induced ultrastructural alterations in whole E. coli cells. We could demonstrate that ultrastructural changes depend on the used antibiotics and their specific mode of action. This is demonstrated using several well characterized antimicrobial compounds and the analysis of resulting SAXS curves by principal component analysis. To understand the result of the PCA analysis, the data is correlated with TEM images. In contrast to real space imaging techniques, SAXS allows to obtain nanoscale information averaged over approximately one million cells. The measurement takes only seconds, while conventional tests to identify a mode of action require days or weeks per single substance. The antimicrobial peptide showed a different mode of action as all tested antibiotics including polymyxin B and is therefore a good candidate for further drug development. We envision SAXS to become a useful tool within the high-throughput screening pipeline of modern drug discovery. This article is part of a Special Issue entitled: Antimicrobial peptides edited by Karl Lohner and Kai Hilpert.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Antimicrobial peptides; BioSAXS; E.coli; Mode of action; TEM

Mesh:

Substances:

Year:  2015        PMID: 26730877     DOI: 10.1016/j.bbamem.2015.12.022

Source DB:  PubMed          Journal:  Biochim Biophys Acta        ISSN: 0006-3002


  14 in total

Review 1.  The role of small-angle scattering in structure-based screening applications.

Authors:  Po-Chia Chen; Janosch Hennig
Journal:  Biophys Rev       Date:  2018-10-10

2.  Comparison of a Short Linear Antimicrobial Peptide with Its Disulfide-Cyclized and Cyclotide-Grafted Variants against Clinically Relevant Pathogens.

Authors:  Johannes Koehbach; Jurnorain Gani; Kai Hilpert; David J Craik
Journal:  Microorganisms       Date:  2021-06-08

3.  Prediction of Broad-Spectrum Pathogen Attachment to Coating Materials for Biomedical Devices.

Authors:  Paulius Mikulskis; Andrew Hook; Adam A Dundas; Derek Irvine; Olutoba Sanni; Daniel Anderson; Robert Langer; Morgan R Alexander; Paul Williams; David A Winkler
Journal:  ACS Appl Mater Interfaces       Date:  2018-01-02       Impact factor: 10.383

4.  Use of small-angle X-ray scattering to resolve intracellular structure changes of Escherichia coli cells induced by antibiotic treatment.

Authors:  A R von Gundlach; V M Garamus; T M Willey; J Ilavsky; K Hilpert; A Rosenhahn
Journal:  J Appl Crystallogr       Date:  2016-12-01       Impact factor: 3.304

Review 5.  Complex biomembrane mimetics on the sub-nanometer scale.

Authors:  Frederick A Heberle; Georg Pabst
Journal:  Biophys Rev       Date:  2017-07-17

6.  BioSAXS Measurements Reveal That Two Antimicrobial Peptides Induce Similar Molecular Changes in Gram-Negative and Gram-Positive Bacteria.

Authors:  Andreas von Gundlach; Martin P Ashby; Jurnorain Gani; Paula Matilde Lopez-Perez; Alan Roy Cookson; Sharon Ann Huws; Christoph Rumancev; Vasil M Garamus; Ralf Mikut; Axel Rosenhahn; Kai Hilpert
Journal:  Front Pharmacol       Date:  2019-09-26       Impact factor: 5.810

Review 7.  Computer-Aided Design of Antimicrobial Peptides: Are We Generating Effective Drug Candidates?

Authors:  Marlon H Cardoso; Raquel Q Orozco; Samilla B Rezende; Gisele Rodrigues; Karen G N Oshiro; Elizabete S Cândido; Octávio L Franco
Journal:  Front Microbiol       Date:  2020-01-22       Impact factor: 5.640

8.  Synergy Pattern of Short Cationic Antimicrobial Peptides Against Multidrug-Resistant Pseudomonas aeruginosa.

Authors:  Serge Ruden; Annika Rieder; Irina Chis Ster; Thomas Schwartz; Ralf Mikut; Kai Hilpert
Journal:  Front Microbiol       Date:  2019-11-28       Impact factor: 5.640

9.  Cationic π-Conjugated Polyelectrolyte Shows Antimicrobial Activity by Causing Lipid Loss and Lowering Elastic Modulus of Bacteria.

Authors:  Ehsan Zamani; Tyler J Johnson; Shyambo Chatterjee; Cheryl Immethun; Anandakumar Sarella; Rajib Saha; Shudipto Konika Dishari
Journal:  ACS Appl Mater Interfaces       Date:  2020-10-22       Impact factor: 9.229

10.  Model-free classification of X-ray scattering signals applied to image segmentation.

Authors:  V Lutz-Bueno; C Arboleda; L Leu; M J Blunt; A Busch; A Georgiadis; P Bertier; J Schmatz; Z Varga; P Villanueva-Perez; Z Wang; M Lebugle; C David; M Stampanoni; A Diaz; M Guizar-Sicairos; A Menzel
Journal:  J Appl Crystallogr       Date:  2018-09-10       Impact factor: 3.304

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