Literature DB >> 26231687

Identification of vancomycin interaction with Enterococcus faecalis within 30 min of interaction time using Raman spectroscopy.

Cora Assmann1,2, Johanna Kirchhoff1,2, Claudia Beleites2, Jessica Hey3, Sophia Kostudis1, Wolfgang Pfister4, Peter Schlattmann1,3, Jürgen Popp1,2,5, Ute Neugebauer6,7.   

Abstract

Vancomycin is an important glycopeptide antibiotic which is used to treat serious infections caused by Gram-positive bacteria. However, during the last years, a tremendous rise in vancomycin resistances, especially among Enterococci, was reported, making fast diagnostic methods inevitable. In this contribution, we apply Raman spectroscopy to systematically characterize vancomycin-enterococci interactions over a time span of 90 min using a sensitive Enterococcus faecalis strain and two different vancomycin concentrations above the minimal inhibitory concentration (MIC). Successful action of the drug on the pathogen could be observed already after 30 min of interaction time. Characteristic spectral changes are visualized with the help of multivariate statistical analysis (linear discriminant analysis and partial least squares regressions). Those changes were employed to train a statistical model to predict vancomycin treatment based on the Raman spectra. The robustness of the model was tested using data recorded by an independent operator. Classification accuracies of >90 % were obtained for vancomycin concentrations in the lower range of a typical trough serum concentration recommended for most patients during appropriate vancomycin therapy. Characterization of drug-pathogen interactions by means of label-free spectroscopic methods, such as Raman spectroscopy, can provide the knowledge base for innovative and fast susceptibility tests which could speed up microbiological analysis as well as finding applications in novel antibiotic screenings assays. Graphical Abstract E. faecalis is incubated with vancomycin and characterized by means of Raman spectroscopy after different time points. Characteristic spectral changes reveal efficient vancomycin-enterococci-interaction.

Entities:  

Keywords:  Bacteria-antibiotic interaction; Enterococcus faecalis; Raman spectroscopy; Vancomycin

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Substances:

Year:  2015        PMID: 26231687     DOI: 10.1007/s00216-015-8912-y

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  6 in total

1.  Looking Inside Non-Destructively: Label-Free, Raman-Based Visualization of Intracellular Coxiella burnetii.

Authors:  Nancy Unger; Simone Eiserloh; Frauke Nowak; Sara Zuchantke; Elisabeth Liebler-Tenorio; Katharina Sobotta; Christiane Schnee; Christian Berens; Ute Neugebauer
Journal:  Anal Chem       Date:  2022-03-18       Impact factor: 6.986

2.  Single Cell Raman Spectroscopy Deuterium Isotope Probing for Rapid Antimicrobial Susceptibility Test of Elizabethkingia spp.

Authors:  Shuying Yuan; Yanwen Chen; Kaicheng Lin; Lin Zou; Xinrong Lu; Na He; Ruijie Liu; Shaoxing Zhang; Danfeng Shen; Zhenju Song; Chaoyang Tong; Yizhi Song; Wenhong Zhang; Li Chen; Guiqin Sun
Journal:  Front Microbiol       Date:  2022-05-03       Impact factor: 6.064

3.  Microfluidic Cultivation and Laser Tweezers Raman Spectroscopy of E. coli under Antibiotic Stress.

Authors:  Zdeněk Pilát; Silvie Bernatová; Jan Ježek; Johanna Kirchhoff; Astrid Tannert; Ute Neugebauer; Ota Samek; Pavel Zemánek
Journal:  Sensors (Basel)       Date:  2018-05-18       Impact factor: 3.576

4.  Detection of multi-resistant clinical strains of E. coli with Raman spectroscopy.

Authors:  Amir Nakar; Aikaterini Pistiki; Oleg Ryabchykov; Thomas Bocklitz; Petra Rösch; Jürgen Popp
Journal:  Anal Bioanal Chem       Date:  2022-01-04       Impact factor: 4.142

5.  Identification of ceftazidime interaction with bacteria in wastewater treatment by Raman spectroscopic mapping.

Authors:  Meng-Wen Peng; Xiang-Yang Wei; Qiang Yu; Peng Yan; You-Peng Chen; Jin-Song Guo
Journal:  RSC Adv       Date:  2019-10-15       Impact factor: 4.036

6.  Raman spectral signature reflects transcriptomic features of antibiotic resistance in Escherichia coli.

Authors:  Arno Germond; Taro Ichimura; Takaaki Horinouchi; Hideaki Fujita; Chikara Furusawa; Tomonobu M Watanabe
Journal:  Commun Biol       Date:  2018-07-02
  6 in total

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