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Activity fingerprinting of AMR β-lactamase towards a fast and accurate diagnosis
Antibiotic resistance has become a serious threat to global public health and economic development. Rapid and accurate identification of a patient status for antimicrobial resistance (AMR) are urgently needed in clinical diagnosis. Here we describe the development of an assay method for activity fin...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10512244/ https://www.ncbi.nlm.nih.gov/pubmed/37743856 http://dx.doi.org/10.3389/fcimb.2023.1222156 |
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author | Song, Chenchen Sun, Xuan Wang, Yao Bülow, Leif Mecklenburg, Michael Wu, Changxin Meng, Qinglai Xie, Bin |
author_facet | Song, Chenchen Sun, Xuan Wang, Yao Bülow, Leif Mecklenburg, Michael Wu, Changxin Meng, Qinglai Xie, Bin |
author_sort | Song, Chenchen |
collection | PubMed |
description | Antibiotic resistance has become a serious threat to global public health and economic development. Rapid and accurate identification of a patient status for antimicrobial resistance (AMR) are urgently needed in clinical diagnosis. Here we describe the development of an assay method for activity fingerprinting of AMR β-lactamases using panels of 7 β-lactam antibiotics in 35 min. New Deli Metallo β-lactamase-1 (NDM-1) and penicillinase were demonstrated as two different classes of β-lactamases. The panel consisted of three classes of antibiotics, including: penicillins (penicillin G, piperacillin), cephalosporins (cefepime, ceftriaxone, cefazolin) and carbapenems (meropenem and imipenem). The assay employed a scheme combines the catalytic reaction of AMR β-lactamases on antibiotic substrates with a flow-injected thermometric biosensor that allows the direct detection of the heat generated from the enzymatic catalysis, and eliminates the need for custom substrates and multiple detection schemes. In order to differentiate classes of β-lactamases, characterization of the enzyme activity under different catalytic condition, such as, buffer composition, ion strength and pH were investigated. This assay could provide a tool for fast diagnosis of patient AMR status which makes possible for the future accurate treatment with selected antibiotics. |
format | Online Article Text |
id | pubmed-10512244 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105122442023-09-22 Activity fingerprinting of AMR β-lactamase towards a fast and accurate diagnosis Song, Chenchen Sun, Xuan Wang, Yao Bülow, Leif Mecklenburg, Michael Wu, Changxin Meng, Qinglai Xie, Bin Front Cell Infect Microbiol Cellular and Infection Microbiology Antibiotic resistance has become a serious threat to global public health and economic development. Rapid and accurate identification of a patient status for antimicrobial resistance (AMR) are urgently needed in clinical diagnosis. Here we describe the development of an assay method for activity fingerprinting of AMR β-lactamases using panels of 7 β-lactam antibiotics in 35 min. New Deli Metallo β-lactamase-1 (NDM-1) and penicillinase were demonstrated as two different classes of β-lactamases. The panel consisted of three classes of antibiotics, including: penicillins (penicillin G, piperacillin), cephalosporins (cefepime, ceftriaxone, cefazolin) and carbapenems (meropenem and imipenem). The assay employed a scheme combines the catalytic reaction of AMR β-lactamases on antibiotic substrates with a flow-injected thermometric biosensor that allows the direct detection of the heat generated from the enzymatic catalysis, and eliminates the need for custom substrates and multiple detection schemes. In order to differentiate classes of β-lactamases, characterization of the enzyme activity under different catalytic condition, such as, buffer composition, ion strength and pH were investigated. This assay could provide a tool for fast diagnosis of patient AMR status which makes possible for the future accurate treatment with selected antibiotics. Frontiers Media S.A. 2023-09-05 /pmc/articles/PMC10512244/ /pubmed/37743856 http://dx.doi.org/10.3389/fcimb.2023.1222156 Text en Copyright © 2023 Song, Sun, Wang, Bülow, Mecklenburg, Wu, Meng and Xie https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cellular and Infection Microbiology Song, Chenchen Sun, Xuan Wang, Yao Bülow, Leif Mecklenburg, Michael Wu, Changxin Meng, Qinglai Xie, Bin Activity fingerprinting of AMR β-lactamase towards a fast and accurate diagnosis |
title | Activity fingerprinting of AMR β-lactamase towards a fast and accurate diagnosis |
title_full | Activity fingerprinting of AMR β-lactamase towards a fast and accurate diagnosis |
title_fullStr | Activity fingerprinting of AMR β-lactamase towards a fast and accurate diagnosis |
title_full_unstemmed | Activity fingerprinting of AMR β-lactamase towards a fast and accurate diagnosis |
title_short | Activity fingerprinting of AMR β-lactamase towards a fast and accurate diagnosis |
title_sort | activity fingerprinting of amr β-lactamase towards a fast and accurate diagnosis |
topic | Cellular and Infection Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10512244/ https://www.ncbi.nlm.nih.gov/pubmed/37743856 http://dx.doi.org/10.3389/fcimb.2023.1222156 |
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