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Rapid microbial identification and colistin resistance detection via MALDI-TOF MS using a novel on-target extraction of membrane lipids

Rapid infection diagnosis is critical to improving patient treatment and outcome. Recent studies have shown microbial lipids to be sensitive and selective biomarkers for identifying bacterial and fungal species and antimicrobial resistance. Practical procedures for microbial lipid biomarker analysis...

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Autores principales: Sorensen, Matthew, Chandler, Courtney E., Gardner, Francesca M., Ramadan, Salma, Khot, Prasanna D., Leung, Lisa M., Farrance, Christine E., Goodlett, David R., Ernst, Robert K., Nilsson, Erik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7725828/
https://www.ncbi.nlm.nih.gov/pubmed/33299017
http://dx.doi.org/10.1038/s41598-020-78401-3
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author Sorensen, Matthew
Chandler, Courtney E.
Gardner, Francesca M.
Ramadan, Salma
Khot, Prasanna D.
Leung, Lisa M.
Farrance, Christine E.
Goodlett, David R.
Ernst, Robert K.
Nilsson, Erik
author_facet Sorensen, Matthew
Chandler, Courtney E.
Gardner, Francesca M.
Ramadan, Salma
Khot, Prasanna D.
Leung, Lisa M.
Farrance, Christine E.
Goodlett, David R.
Ernst, Robert K.
Nilsson, Erik
author_sort Sorensen, Matthew
collection PubMed
description Rapid infection diagnosis is critical to improving patient treatment and outcome. Recent studies have shown microbial lipids to be sensitive and selective biomarkers for identifying bacterial and fungal species and antimicrobial resistance. Practical procedures for microbial lipid biomarker analysis will therefore improve patient outcomes and antimicrobial stewardship. However, current lipid extraction methods require significant hands-on time and are thus not suited for direct adoption as a clinical assay for microbial identification. Here, we have developed a method for lipid extraction directly on the surface of stainless-steel matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) plates, termed fast lipid analysis technique or FLAT, which facilitates the identification of bacterial and fungal species using a sub-60-minute workflow. Additionally, our method detects lipid A modifications in Gram-negative bacteria that are associated with antimicrobial resistance, including to colistin.
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spelling pubmed-77258282020-12-14 Rapid microbial identification and colistin resistance detection via MALDI-TOF MS using a novel on-target extraction of membrane lipids Sorensen, Matthew Chandler, Courtney E. Gardner, Francesca M. Ramadan, Salma Khot, Prasanna D. Leung, Lisa M. Farrance, Christine E. Goodlett, David R. Ernst, Robert K. Nilsson, Erik Sci Rep Article Rapid infection diagnosis is critical to improving patient treatment and outcome. Recent studies have shown microbial lipids to be sensitive and selective biomarkers for identifying bacterial and fungal species and antimicrobial resistance. Practical procedures for microbial lipid biomarker analysis will therefore improve patient outcomes and antimicrobial stewardship. However, current lipid extraction methods require significant hands-on time and are thus not suited for direct adoption as a clinical assay for microbial identification. Here, we have developed a method for lipid extraction directly on the surface of stainless-steel matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) plates, termed fast lipid analysis technique or FLAT, which facilitates the identification of bacterial and fungal species using a sub-60-minute workflow. Additionally, our method detects lipid A modifications in Gram-negative bacteria that are associated with antimicrobial resistance, including to colistin. Nature Publishing Group UK 2020-12-09 /pmc/articles/PMC7725828/ /pubmed/33299017 http://dx.doi.org/10.1038/s41598-020-78401-3 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Sorensen, Matthew
Chandler, Courtney E.
Gardner, Francesca M.
Ramadan, Salma
Khot, Prasanna D.
Leung, Lisa M.
Farrance, Christine E.
Goodlett, David R.
Ernst, Robert K.
Nilsson, Erik
Rapid microbial identification and colistin resistance detection via MALDI-TOF MS using a novel on-target extraction of membrane lipids
title Rapid microbial identification and colistin resistance detection via MALDI-TOF MS using a novel on-target extraction of membrane lipids
title_full Rapid microbial identification and colistin resistance detection via MALDI-TOF MS using a novel on-target extraction of membrane lipids
title_fullStr Rapid microbial identification and colistin resistance detection via MALDI-TOF MS using a novel on-target extraction of membrane lipids
title_full_unstemmed Rapid microbial identification and colistin resistance detection via MALDI-TOF MS using a novel on-target extraction of membrane lipids
title_short Rapid microbial identification and colistin resistance detection via MALDI-TOF MS using a novel on-target extraction of membrane lipids
title_sort rapid microbial identification and colistin resistance detection via maldi-tof ms using a novel on-target extraction of membrane lipids
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7725828/
https://www.ncbi.nlm.nih.gov/pubmed/33299017
http://dx.doi.org/10.1038/s41598-020-78401-3
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