Literature DB >> 31784214

Untargeted accurate identification of highly pathogenic bacteria directly from blood culture flasks.

Erwin M Berendsen1, Evgeni Levin2, René Braakman1, Andrei Prodan2, Hans C van Leeuwen1, Armand Paauw3.   

Abstract

To improve the preparedness against exposure to highly pathogenic bacteria and to anticipate the wide variety of bacteria that can cause bloodstream infections (BSIs), a safe, unbiased and highly accurate identification method was developed. Our liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based method can identify highly pathogenic bacteria, their near-neighbors and bacteria that are common causes of BSIs directly from positive blood culture flasks. The developed Peptide-Based Microbe Detection Engine (http://proteome2pathogen.com) relies on a two-step workflow: a genus-level search followed by a species-level search. This strategy enables the rapid identification of microorganisms based on the analyzed proteome. This method was successfully used to identify strains of Bacillus anthracis, Brucella abortus, Brucella melitensis, Brucella suis, Burkholderia pseudomallei, Burkholderia mallei, Francisella tularensis, Yersinia pestis and closely related species from simulated blood culture flasks. This newly developed LC-MS/MS method is a safe and rapid method for accurately identifying bacteria directly from positive blood culture flasks.
Copyright © 2019 The Authors. Published by Elsevier GmbH.. All rights reserved.

Entities:  

Keywords:  Blood stream infection; Diagnostics; Identification; Mass spectrometry; Pathogens; Proteome; Proteomics

Mesh:

Year:  2019        PMID: 31784214     DOI: 10.1016/j.ijmm.2019.151376

Source DB:  PubMed          Journal:  Int J Med Microbiol        ISSN: 1438-4221            Impact factor:   3.473


  4 in total

1.  Identification of Microorganisms by Liquid Chromatography-Mass Spectrometry (LC-MS1) and in Silico Peptide Mass Libraries.

Authors:  Peter Lasch; Andy Schneider; Christian Blumenscheit; Joerg Doellinger
Journal:  Mol Cell Proteomics       Date:  2020-09-30       Impact factor: 5.911

2.  Analysis of pathogens, drug resistance, sensitive antibiotic treatment and risk factors of early-onset sepsis in very low birth weight infants.

Authors:  Yingying Yu; Qikun Huang; Anchang Liu
Journal:  Am J Transl Res       Date:  2021-11-15       Impact factor: 4.060

Review 3.  Mass spectrometry-based microbiological testing for blood stream infection.

Authors:  Fumio Nomura; Sachio Tsuchida; Syota Murata; Mamoru Satoh; Kazuyuki Matsushita
Journal:  Clin Proteomics       Date:  2020-05-13       Impact factor: 3.988

4.  Reporter-Phage-Based Detection and Antibiotic Susceptibility Testing of Yersinia pestis for a Rapid Plague Outbreak Response.

Authors:  Sarit Moses; Moshe Aftalion; Emanuelle Mamroud; Shahar Rotem; Ida Steinberger-Levy
Journal:  Microorganisms       Date:  2021-06-11
  4 in total

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