Literature DB >> 27316783

Staphylococcus aureus methicillin resistance detected by HPLC-MS/MS targeted metabolic profiling.

Katie Schelli1, Joshua Rutowski1, Julia Roubidoux1, Jiangjiang Zhu2.   

Abstract

Recently, novel bioanalytical methods, such as NMR and mass spectrometry based metabolomics approaches, have started to show promise in providing rapid, sensitive and reproducible detection of Staphylococcus aureus antibiotic resistance. Here we performed a proof-of-concept study focused on the application of HPLC-MS/MS based targeted metabolic profiling for detecting and monitoring the bacterial metabolic profile changes in response to sub-lethal levels of methicillin exposure. One hundred seventy-seven targeted metabolites from over 20 metabolic pathways were specifically screened and one hundred and thirty metabolites from in vitro bacterial tests were confidently detected from both methicillin susceptible and methicillin resistant Staphylococcus aureus (MSSA and MRSA, respectively). The metabolic profiles can be used to distinguish the isogenic pairs of MSSA strains from MRSA strains, without or with sub-lethal levels of methicillin exposure. In addition, better separation between MSSA and MRSA strains can be achieved in the latter case using principal component analysis (PCA). Metabolite data from isogenic pairs of MSSA and MRSA strains were further compared without and with sub-lethal levels of methicillin exposure, with metabolic pathway analyses additionally performed. Both analyses suggested that the metabolic activities of MSSA strains were more susceptible to the perturbation of the sub-lethal levels of methicillin exposure compared to the MRSA strains.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Antibiotic resistance test; Mass spectrometry based metabolomics; Metabolic pathway analysis; Methicillin resistant Staphylococcus aureus; Targeted metabolic profiling

Mesh:

Substances:

Year:  2016        PMID: 27316783     DOI: 10.1016/j.jchromb.2016.05.052

Source DB:  PubMed          Journal:  J Chromatogr B Analyt Technol Biomed Life Sci        ISSN: 1570-0232            Impact factor:   3.205


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