Literature DB >> 31307990

Rapid Identification of New Delhi Metallo-β-Lactamase (NDM) Using Tryptic Peptides and LC-MS/MS.

John P Dekker1,2, Anthony F Suffredini3, Honghui Wang4, Jeffrey R Strich4, Steven K Drake4, Yong Chen5, Jung-Ho Youn1, Avi Z Rosenberg6,7, Marjan Gucek5.   

Abstract

There is significant interest in the development of mass spectrometry (MS) methods for antimicrobial resistance protein detection, given the ability of these methods to confirm protein expression. In this work, we studied the performance of a liquid chromatography, tandem MS multiple-reaction monitoring (LC-MS/MS MRM) method for the direct detection of the New Delhi metallo-β-lactamase (NDM) carbapenemase in clinical isolates. Using a genoproteomic approach, we selected three unique peptides (SLGNLGDADTEHYAASAR, AFGAAFPK, and ASMIVMSHSAPDSR) specific to NDM that were efficiently ionized and spectrally well-defined. These three peptides were used to build an assay with turnaround time of 90 min. In a blind set, the assay detected 21/24 bla NDM-containing isolates and 76/76 isolates with negative results, corresponding to a sensitivity value of 87.5% (95% confidence interval [CI], 67.6% to 97.3%) and a specificity value of 100% (95% CI, 95.3% to 100%). One of the missed identifications was determined by protein fractionation to be due to low (∼0.1 fm/μg) NDM protein expression (below the assay limit of detection). Parallel disk diffusion susceptibility testing demonstrated this isolate to be meropenem susceptible, consistent with low NDM expression. Total proteomic analysis of the other two missed identifications did not detect NDM peptides but detected other proteins expressed from the bla NDM-containing plasmids, confirming that the plasmids were not lost. The measurement of relative NDM concentrations over the entire isolate test set demonstrated variability spanning 4 orders of magnitude, further confirming the remarkable range that may be seen in levels of NDM expression. This report highlights the sensitivity of LC-MS/MS to variations in NDM protein expression, with implications for how this technology may be used.
Copyright © 2019 American Society for Microbiology.

Entities:  

Keywords:  New Delhi metallo-β-lactamase; mass spectrometry; multiple-reaction monitoring; tryptic peptide

Mesh:

Substances:

Year:  2019        PMID: 31307990      PMCID: PMC6709477          DOI: 10.1128/AAC.00461-19

Source DB:  PubMed          Journal:  Antimicrob Agents Chemother        ISSN: 0066-4804            Impact factor:   5.191


  20 in total

1.  Online high-flow peptide immunoaffinity enrichment and nanoflow LC-MS/MS: assay development for total salivary pepsin/pepsinogen.

Authors:  Hendrik Neubert; Jeremy Gale; David Muirhead
Journal:  Clin Chem       Date:  2010-05-14       Impact factor: 8.327

2.  Detection of NDM-1, VIM-1, KPC, OXA-48, and OXA-162 carbapenemases by matrix-assisted laser desorption ionization-time of flight mass spectrometry.

Authors:  Jaroslav Hrabák; Vendula Studentová; Radka Walková; Helena Zemlicková; Vladislav Jakubu; Eva Chudácková; Marek Gniadkowski; Yvonne Pfeifer; John D Perry; Kathryn Wilkinson; Tamara Bergerová
Journal:  J Clin Microbiol       Date:  2012-05-02       Impact factor: 5.948

3.  A rapid matrix-assisted laser desorption ionization-time of flight mass spectrometry-based method for single-plasmid tracking in an outbreak of carbapenem-resistant Enterobacteriaceae.

Authors:  Anna F Lau; Honghui Wang; Rebecca A Weingarten; Steven K Drake; Anthony F Suffredini; Mark K Garfield; Yong Chen; Marjan Gucek; Jung-Ho Youn; Frida Stock; Hanna Tso; Jim DeLeo; James J Cimino; Karen M Frank; John P Dekker
Journal:  J Clin Microbiol       Date:  2014-05-21       Impact factor: 5.948

4.  Skyline: an open source document editor for creating and analyzing targeted proteomics experiments.

Authors:  Brendan MacLean; Daniela M Tomazela; Nicholas Shulman; Matthew Chambers; Gregory L Finney; Barbara Frewen; Randall Kern; David L Tabb; Daniel C Liebler; Michael J MacCoss
Journal:  Bioinformatics       Date:  2010-02-09       Impact factor: 6.937

5.  Evaluation of data-dependent and -independent mass spectrometric workflows for sensitive quantification of proteins and phosphorylation sites.

Authors:  Manuel Bauer; Erik Ahrné; Anna P Baron; Timo Glatter; Luca L Fava; Anna Santamaria; Erich A Nigg; Alexander Schmidt
Journal:  J Proteome Res       Date:  2014-11-13       Impact factor: 4.466

6.  Antibody-free, targeted mass-spectrometric approach for quantification of proteins at low picogram per milliliter levels in human plasma/serum.

Authors:  Tujin Shi; Thomas L Fillmore; Xuefei Sun; Rui Zhao; Athena A Schepmoes; Mahmud Hossain; Fang Xie; Si Wu; Jong-Seo Kim; Nathan Jones; Ronald J Moore; Ljiljana Pasa-Tolić; Jacob Kagan; Karin D Rodland; Tao Liu; Keqi Tang; David G Camp; Richard D Smith; Wei-Jun Qian
Journal:  Proc Natl Acad Sci U S A       Date:  2012-09-04       Impact factor: 11.205

7.  Multidrug resistance determinants from NDM-1-producing Klebsiella pneumoniae in the USA.

Authors:  Tomasz Leski; Gary J Vora; Chris Rowe Taitt
Journal:  Int J Antimicrob Agents       Date:  2012-07-18       Impact factor: 5.283

8.  A Novel Peptidomic Approach to Strain Typing of Clinical Acinetobacter baumannii Isolates Using Mass Spectrometry.

Authors:  Honghui Wang; Steven K Drake; Chen Yong; Marjan Gucek; Margaret Tropea; Avi Z Rosenberg; John P Dekker; Anthony F Suffredini
Journal:  Clin Chem       Date:  2016-04-26       Impact factor: 8.327

9.  Prediction of high-responding peptides for targeted protein assays by mass spectrometry.

Authors:  Vincent A Fusaro; D R Mani; Jill P Mesirov; Steven A Carr
Journal:  Nat Biotechnol       Date:  2009-01-25       Impact factor: 54.908

Review 10.  Structure, Genetics and Worldwide Spread of New Delhi Metallo-β-lactamase (NDM): a threat to public health.

Authors:  Asad U Khan; Lubna Maryam; Raffaele Zarrilli
Journal:  BMC Microbiol       Date:  2017-04-27       Impact factor: 3.605

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  5 in total

1.  Parallel Reaction Monitoring Mass Spectrometry for Rapid and Accurate Identification of β-Lactamases Produced by Enterobacteriaceae.

Authors:  Yun Lu; Xinxin Hu; Jing Pang; Xiukun Wang; Guoqing Li; Congran Li; Xinyi Yang; Xuefu You
Journal:  Front Microbiol       Date:  2022-06-20       Impact factor: 6.064

2.  Rapid and Accurate Detection of Aminoglycoside-Modifying Enzymes and 16S rRNA Methyltransferases by Targeted Liquid Chromatography-Tandem Mass Spectrometry.

Authors:  Dimard E Foudraine; Nikolaos Strepis; Corné H W Klaassen; Merel N Raaphorst; Annelies Verbon; Theo M Luider; Wil H F Goessens; Lennard J M Dekker
Journal:  J Clin Microbiol       Date:  2021-06-18       Impact factor: 5.948

3.  Early and specific targeted mass spectrometry-based identification of bacteria in endotracheal aspirates of patients suspected with ventilator-associated pneumonia.

Authors:  Chloé Bardet; Olivier Barraud; Marc Clavel; Tanguy Fortin; Jean-Philippe Charrier; Marc Rodrigue; Bruno François; Javier Yugueros-Marcos; Jerome Lemoine; Marie-Cécile Ploy
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2021-01-23       Impact factor: 3.267

Review 4.  Molecular phenotyping approaches for the detection and monitoring of carbapenem-resistant Enterobacteriaceae by mass spectrometry.

Authors:  Breanna Dixon; Waqar M Ahmed; Tim Felton; Stephen J Fowler
Journal:  J Mass Spectrom Adv Clin Lab       Date:  2022-09-06

5.  Using Targeted Liquid Chromatography-Tandem Mass Spectrometry to Rapidly Detect β-Lactam, Aminoglycoside, and Fluoroquinolone Resistance Mechanisms in Blood Cultures Growing E. coli or K. pneumoniae.

Authors:  Dimard E Foudraine; Lennard J M Dekker; Nikolaos Strepis; Stan J Nispeling; Merel N Raaphorst; Wendy Kloezen; Piet Colle; Annelies Verbon; Corné H W Klaassen; Theo M Luider; Wil H F Goessens
Journal:  Front Microbiol       Date:  2022-06-22       Impact factor: 6.064

  5 in total

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