4.3 Article

Discerning strain-specific β-lactam drug resistance by clonal isolates of multi-drug resistant Pseudomonas aeruginosa using selected reaction monitoring

Journal

INTERNATIONAL JOURNAL OF MASS SPECTROMETRY
Volume 438, Issue -, Pages 36-43

Publisher

ELSEVIER
DOI: 10.1016/j.ijms.2018.12.013

Keywords

Multidrug-resistant Pseudomonas aeruginosa; Proteomics; Antibiotic resistance; LC-MS; Beta-lactamase

Funding

  1. National Institute of Allergy and Infectious Diseases [U01 AI124290]
  2. department of Pathology at Texas Children's Hospital

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The escalation of antimicrobial resistance poses a serious threat to global healthcare, and efficient assays for identifying precise antibiotic regimens are needed to increase antibiotic stewardship and fight multidrug resistant infections. Numerous culture- and genetic-based methods are currently in use to generate antibiotic resistance profiles of clinically relevant pathogens. However, these methods are time consuming and lack the ability to discern key characteristics like rates of drug metabolism and concentrations of enzymes involved in antimicrobial resistance. Many pathogenic bacteria produce beta-lactamases which covalently modify beta-lactam antibiotics and the rise in extended spectrum beta-lactamases is close to rendering an entire class of antibiotics ineffective. We investigated the use of selected reaction monitoring (SRM), a mass spectrometry technique, for differentiating beta-lactam drug-resistant phenotypes in multi-drug resistant Pseudomonas aeruginosa (MRPA). Our ability to monitor precise drug concentrations and chemical modifications of antibiotic compounds using mass spectrometry has enabled us to detect strain-level differences in beta-lactam resistant MRPA. Our results show that previously defined clonal populations of beta-lactam-resistant MRPA differentially metabolize beta-lactam antibiotics and contribute to varying degrees of beta-lactam resistance in these pathogens. These phenotypic characteristics would not have been identified using either current genetic sequencing techniques alone or through culture-based diagnostics. (C) 2018 Elsevier B.V. All rights reserved.

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