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Improved Sample Preparation for Untargeted Metabolomics Profiling of Escherichia coli

Metabolomics is a powerful tool that can systematically describe global changes in the metabolome of microbes, thus improving our understanding of the mechanisms of action of antibiotics and facilitating the development of next-generation antibacterial therapies. However, current sample preparation...

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Autores principales: Ye, Dongyang, Li, Xiaowei, Wang, Chengfei, Liu, Saiwa, Zhao, Liang, Du, Jingjing, Xu, Jian, Li, Jing, Tian, Lu, Xia, Xi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8510244/
https://www.ncbi.nlm.nih.gov/pubmed/34612668
http://dx.doi.org/10.1128/Spectrum.00625-21
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author Ye, Dongyang
Li, Xiaowei
Wang, Chengfei
Liu, Saiwa
Zhao, Liang
Du, Jingjing
Xu, Jian
Li, Jing
Tian, Lu
Xia, Xi
author_facet Ye, Dongyang
Li, Xiaowei
Wang, Chengfei
Liu, Saiwa
Zhao, Liang
Du, Jingjing
Xu, Jian
Li, Jing
Tian, Lu
Xia, Xi
author_sort Ye, Dongyang
collection PubMed
description Metabolomics is a powerful tool that can systematically describe global changes in the metabolome of microbes, thus improving our understanding of the mechanisms of action of antibiotics and facilitating the development of next-generation antibacterial therapies. However, current sample preparation methods are not efficient or reliable for studying the effects of antibiotics on microbes. In the present study, we reported a novel sample preparation approach using cold methanol/ethylene glycol for quenching Escherichia coli, thus overcoming the loss of intracellular metabolites caused by cell membrane damage. After evaluating the extraction efficiency of several extraction methods, we employed the optimized workflow to profile the metabolome of E. coli exposed to cephalexin. In doing so, we proved the utility of the proposed approach and provided insights into the comprehensive metabolic alterations associated with antibiotic treatment. IMPORTANCE The emergence and global spread of multidrug-resistant bacteria and genes are a global problem. It is critical to understand the interactions between antibiotics and bacteria and find alternative treatments for infections when we are moving closer to a postantibiotic era. It has been demonstrated that the bacterial metabolic environment plays an important role in the modulation of antibiotic susceptibility and efficacy. In the present study, we proposed a novel metabolomic approach for intracellular metabolite profiling of E. coli, which can be used to investigate the metabolite alterations of bacteria caused by antibiotic treatment. Further understanding of antibiotic-induced perturbations of bacterial metabolism would facilitate the discovery of new therapeutic targets and pathways.
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spelling pubmed-85102442021-11-08 Improved Sample Preparation for Untargeted Metabolomics Profiling of Escherichia coli Ye, Dongyang Li, Xiaowei Wang, Chengfei Liu, Saiwa Zhao, Liang Du, Jingjing Xu, Jian Li, Jing Tian, Lu Xia, Xi Microbiol Spectr Methods and Protocols Metabolomics is a powerful tool that can systematically describe global changes in the metabolome of microbes, thus improving our understanding of the mechanisms of action of antibiotics and facilitating the development of next-generation antibacterial therapies. However, current sample preparation methods are not efficient or reliable for studying the effects of antibiotics on microbes. In the present study, we reported a novel sample preparation approach using cold methanol/ethylene glycol for quenching Escherichia coli, thus overcoming the loss of intracellular metabolites caused by cell membrane damage. After evaluating the extraction efficiency of several extraction methods, we employed the optimized workflow to profile the metabolome of E. coli exposed to cephalexin. In doing so, we proved the utility of the proposed approach and provided insights into the comprehensive metabolic alterations associated with antibiotic treatment. IMPORTANCE The emergence and global spread of multidrug-resistant bacteria and genes are a global problem. It is critical to understand the interactions between antibiotics and bacteria and find alternative treatments for infections when we are moving closer to a postantibiotic era. It has been demonstrated that the bacterial metabolic environment plays an important role in the modulation of antibiotic susceptibility and efficacy. In the present study, we proposed a novel metabolomic approach for intracellular metabolite profiling of E. coli, which can be used to investigate the metabolite alterations of bacteria caused by antibiotic treatment. Further understanding of antibiotic-induced perturbations of bacterial metabolism would facilitate the discovery of new therapeutic targets and pathways. American Society for Microbiology 2021-10-06 /pmc/articles/PMC8510244/ /pubmed/34612668 http://dx.doi.org/10.1128/Spectrum.00625-21 Text en Copyright © 2021 Ye et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Methods and Protocols
Ye, Dongyang
Li, Xiaowei
Wang, Chengfei
Liu, Saiwa
Zhao, Liang
Du, Jingjing
Xu, Jian
Li, Jing
Tian, Lu
Xia, Xi
Improved Sample Preparation for Untargeted Metabolomics Profiling of Escherichia coli
title Improved Sample Preparation for Untargeted Metabolomics Profiling of Escherichia coli
title_full Improved Sample Preparation for Untargeted Metabolomics Profiling of Escherichia coli
title_fullStr Improved Sample Preparation for Untargeted Metabolomics Profiling of Escherichia coli
title_full_unstemmed Improved Sample Preparation for Untargeted Metabolomics Profiling of Escherichia coli
title_short Improved Sample Preparation for Untargeted Metabolomics Profiling of Escherichia coli
title_sort improved sample preparation for untargeted metabolomics profiling of escherichia coli
topic Methods and Protocols
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8510244/
https://www.ncbi.nlm.nih.gov/pubmed/34612668
http://dx.doi.org/10.1128/Spectrum.00625-21
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