Evidence map›Paper›PMID 28743946›Full record

ArticleScientific reports2017

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

Lisa M Leung, William E Fondrie, Yohei Doi, J Kristie Johnson, Dudley K Strickland, Robert K Ernst, David R Goodlett

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
5.1field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

52 citing papers in PubMed, 86 citations in OpenAlex.

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  18. Molecular epidemiology and genomic characterization of a plasmid-mediatedComputational and structural biotechnology journal · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Lisa M LeungDepartment of Microbial Pathogenesis, University of Maryland, Baltimore, MD, 21201, USA.
William E FondrieCenter for Vascular and Inflammatory Diseases, University of Maryland, Baltimore, MD, 21201, USA.
Yohei DoiDivision of Infectious Diseases, University of Pittsburgh, Pittsburgh, PA, 15261, USA.
J Kristie JohnsonDepartment of Pathology, University of Maryland, Baltimore, MD, 21201, USA.
Dudley K StricklandCenter for Vascular and Inflammatory Diseases, University of Maryland, Baltimore, MD, 21201, USA.
Robert K ErnstDepartment of Microbial Pathogenesis, University of Maryland, Baltimore, MD, 21201, USA. rkernst@umaryland.edu.
David R GoodlettDepartment of Pharmaceutical Sciences, University of Maryland, Baltimore, MD, 21201, USA. dgoodlett@rx.umaryland.edu.
University of Maryland, Baltimore · USUniversity of Pittsburgh · US

Funding

Vascular Biology Training ProgramT32HL007698 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI Rosemary A Kozar, Dudley K. Strickland · 1991 to 2026
$8.7M
Role of LDL receptor family members in protecting the vasculatureR35HL135743 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI STRICKLAND, DUDLEY K. · 2017 to 2023
$5.4M
Colistin-resistant Acinetobacter baumanniiR01AI104895 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DOI, YOHEI, ERNST, ROBERT K · 2014 to 2024
$4.2M
MS diagnostic bacterial identification libraryR01GM111066 · NIGMS · UNIVERSITY OF MARYLAND BALTIMORE · PI ERNST, ROBERT K, GOODLETT, DAVID ROBINSON · 2014 to 2017
$1.2M
Mechanisms by which LRP1 Protects the VasculatureR01HL120388 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI STRICKLAND, DUDLEY K. · 2014 to 2016
$1.1M
Mechanisms and implications of fosfomycin resistance in Escherichia coliR21AI123747 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DOI, YOHEI · 2016 to 2017
$417k
NHLBI NIH HHS R01 HL120388NHLBI NIH HHS R35 HL135743NHLBI NIH HHS T32 HL007698NIAID NIH HHS R01 AI104895NIAID NIH HHS R21 AI123747NIGMS NIH HHS R01 GM111066
6 · The paper itself

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.

Indexed as

BloodDrug Resistance, BacterialGlycolipidsGram-Negative BacteriaGram-Positive BacteriaHumansLimit of DetectionMembrane LipidsReproducibility of ResultsSoftwareSpecies SpecificitySpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationGlycolipidsMembrane Lipids

Identifiers

PMID28743946
PMCPMC5526941
OpenAlexW2737314490

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.