Identification of the ESKAPE pathogens by mass spectrometric analysis of microbial membrane glycolipids

Abstract Rapid diagnostics that enable identification of infectious agents improve patient outcomes, antimicrobial stewardship, and length of hospital stay. Current methods for pathogen detection in the clinical laboratory include biological culture, nucleic acid amplification, ribosomal protein cha...

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Main Authors: Lisa M. Leung, William E. Fondrie, Yohei Doi, J. Kristie Johnson, Dudley K. Strickland, Robert K. Ernst, David R. Goodlett
Format: Article
Language:English
Published: Nature Publishing Group 2017-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-017-04793-4
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spelling doaj-156f61f087a64257a20eeb277fb83d6c2020-12-08T02:38:20ZengNature Publishing GroupScientific Reports2045-23222017-07-017111010.1038/s41598-017-04793-4Identification of the ESKAPE pathogens by mass spectrometric analysis of microbial membrane glycolipidsLisa M. Leung0William E. Fondrie1Yohei Doi2J. Kristie Johnson3Dudley K. Strickland4Robert K. Ernst5David R. Goodlett6Department of Microbial Pathogenesis, University of MarylandCenter for Vascular and Inflammatory Diseases, University of MarylandDivision of Infectious Diseases, University of PittsburghDepartment of Pathology, University of MarylandCenter for Vascular and Inflammatory Diseases, University of MarylandDepartment of Microbial Pathogenesis, University of MarylandDepartment of Pharmaceutical Sciences, University of MarylandAbstract Rapid diagnostics that enable identification of infectious agents improve patient outcomes, antimicrobial stewardship, and length of hospital stay. Current methods for pathogen detection in the clinical laboratory include biological culture, nucleic acid amplification, ribosomal protein characterization, and genome sequencing. Pathogen identification from single colonies by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) analysis of high abundance proteins is gaining popularity in clinical laboratories. Here, we present a novel and complementary approach that utilizes essential microbial glycolipids as chemical fingerprints for identification of individual bacterial species. Gram-positive and negative bacterial glycolipids were extracted using a single optimized protocol. Extracts of the clinically significant ESKAPE pathogens: E nterococcus faecium, S taphylococcus aureus, K lebsiella pneumoniae, A cinetobacter baumannii, P seudomonas aeruginosa, and E nterobacter spp. were analyzed by MALDI-TOF-MS in negative ion mode to obtain glycolipid mass spectra. A library of glycolipid mass spectra from 50 microbial entries was developed that allowed bacterial speciation of the ESKAPE pathogens, as well as identification of pathogens directly from blood bottles without culture on solid medium and determination of antimicrobial peptide resistance. These results demonstrate that bacterial glycolipid mass spectra represent chemical barcodes that identify pathogens, potentially providing a useful alternative to existing diagnostics.https://doi.org/10.1038/s41598-017-04793-4
collection DOAJ
language English
format Article
sources DOAJ
author Lisa M. Leung
William E. Fondrie
Yohei Doi
J. Kristie Johnson
Dudley K. Strickland
Robert K. Ernst
David R. Goodlett
spellingShingle Lisa M. Leung
William E. Fondrie
Yohei Doi
J. Kristie Johnson
Dudley K. Strickland
Robert K. Ernst
David R. Goodlett
Identification of the ESKAPE pathogens by mass spectrometric analysis of microbial membrane glycolipids
Scientific Reports
author_facet Lisa M. Leung
William E. Fondrie
Yohei Doi
J. Kristie Johnson
Dudley K. Strickland
Robert K. Ernst
David R. Goodlett
author_sort Lisa M. Leung
title Identification of the ESKAPE pathogens by mass spectrometric analysis of microbial membrane glycolipids
title_short Identification of the ESKAPE pathogens by mass spectrometric analysis of microbial membrane glycolipids
title_full Identification of the ESKAPE pathogens by mass spectrometric analysis of microbial membrane glycolipids
title_fullStr Identification of the ESKAPE pathogens by mass spectrometric analysis of microbial membrane glycolipids
title_full_unstemmed Identification of the ESKAPE pathogens by mass spectrometric analysis of microbial membrane glycolipids
title_sort identification of the eskape pathogens by mass spectrometric analysis of microbial membrane glycolipids
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2017-07-01
description Abstract Rapid diagnostics that enable identification of infectious agents improve patient outcomes, antimicrobial stewardship, and length of hospital stay. Current methods for pathogen detection in the clinical laboratory include biological culture, nucleic acid amplification, ribosomal protein characterization, and genome sequencing. Pathogen identification from single colonies by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) analysis of high abundance proteins is gaining popularity in clinical laboratories. Here, we present a novel and complementary approach that utilizes essential microbial glycolipids as chemical fingerprints for identification of individual bacterial species. Gram-positive and negative bacterial glycolipids were extracted using a single optimized protocol. Extracts of the clinically significant ESKAPE pathogens: E nterococcus faecium, S taphylococcus aureus, K lebsiella pneumoniae, A cinetobacter baumannii, P seudomonas aeruginosa, and E nterobacter spp. were analyzed by MALDI-TOF-MS in negative ion mode to obtain glycolipid mass spectra. A library of glycolipid mass spectra from 50 microbial entries was developed that allowed bacterial speciation of the ESKAPE pathogens, as well as identification of pathogens directly from blood bottles without culture on solid medium and determination of antimicrobial peptide resistance. These results demonstrate that bacterial glycolipid mass spectra represent chemical barcodes that identify pathogens, potentially providing a useful alternative to existing diagnostics.
url https://doi.org/10.1038/s41598-017-04793-4
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