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Published on: July 12, 2014
Rapid detection of colistin resistance protein MCR-1 by LC-MS/MS
Honghui Wang1, Yong Chen2, Jeffrey R Strich1
11Critical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD USA.
Background:
Colistin (polymyxin E) and polymixin B are important bactericidal antibiotics used in the treatment of serious infections caused by multi-drug resistant Gram-negative organisms. Transferrable plasmid-mediated colistin resistance, conferred by the product of the mcr-1 gene, has emerged as a global healthcare threat. Consequently, the rapid detection of the MCR-1 protein in clinical bacterial isolates has become increasingly important. We used a genoproteomic approach to identify unique peptides of the MCR-1 protein that could be detected rapidly by liquid chromatography tandem mass spectrometry (LC-MS/MS).
Methods:
MCR-1 tryptic peptides that were efficiently ionized and readily detectable were characterized in a set of mcr-1-containing isolates with triple quadrupole LC-MS. Three optimal peptides were selected for the development of a rapid multiple reaction monitoring LC-MS/MS assay for the MCR-1 protein. To investigate the feasibility of rapid detection of the MCR-1 protein in bacterial isolates using this assay, a blinded 99-sample test set was built that included three additional mcr-1-containing clinical isolates tested in triplicate (9 samples) and 90 negative control isolates.
Results:
All of the mcr-1-containing isolates in the test set were accurately identified with no false positive detections by three independent, blinded operators, yielding an overall performance of 100% sensitivity and specificity for multiple operators. Among the three peptides tested in this study, the best performing was DTFPQLAK. The isolate-to-result time for the assay as implemented is less than 90 min.
Conclusions:
This work demonstrates the feasibility of rapid detection of the MCR-1 protein in bacterial isolates by LC-MS/MS.
Insights
Rapidly detect the MCR-1 protein, a marker for colistin resistance, using liquid chromatography tandem mass spectrometry (LC-MS/MS). This assay achieves 100% sensitivity and specificity in under 90 minutes, aiding in the fight against multi-drug resistant Gram-negative organisms.
Area of Science:
- Microbiology and Infectious Diseases
- Analytical Chemistry
- Proteomics
Background:
- Colistin and polymyxin B are crucial antibiotics for treating severe infections caused by multidrug-resistant Gram-negative bacteria.
- The emergence of plasmid-mediated colistin resistance via the MCR-1 gene presents a significant global health challenge.
- Rapid identification of MCR-1 protein in clinical isolates is essential for effective treatment strategies.
Purpose of the Study:
- To develop a rapid and accurate method for detecting the MCR-1 protein in bacterial isolates.
- To identify unique MCR-1 peptides suitable for detection by liquid chromatography tandem mass spectrometry (LC-MS/MS).
- To establish the feasibility of using LC-MS/MS for timely MCR-1 protein identification in clinical settings.
Main Methods:
- A genoproteomic approach was employed to identify unique MCR-1 protein peptides.
- Tryptic peptides of MCR-1 were characterized for ionization efficiency and detectability using triple quadrupole LC-MS.
- A rapid multiple reaction monitoring LC-MS/MS assay was developed using three selected optimal peptides, validated on a 99-sample blinded test set.
Main Results:
- The developed LC-MS/MS assay demonstrated 100% sensitivity and specificity in identifying MCR-1-containing isolates.
- No false positive detections were observed across all tests conducted by three independent operators.
- The assay provides results in under 90 minutes, with DTFPQLAK identified as the best-performing peptide.
Conclusions:
- This study successfully demonstrates the feasibility of rapid MCR-1 protein detection in bacterial isolates using LC-MS/MS.
- The developed assay offers a highly sensitive and specific tool for identifying colistin resistance mediated by MCR-1.
- This rapid detection method can significantly aid in clinical decision-making for infections involving multidrug-resistant Gram-negative bacteria.
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