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“Omic” Approaches to Bacteria and Antibiotic Resistance Identification
The quick and accurate identification of microorganisms and the study of resistance to antibiotics is crucial in the economic and industrial fields along with medicine. One of the fastest-growing identification methods is the spectrometric approach consisting in the matrix-assisted laser ionization/...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9455953/ https://www.ncbi.nlm.nih.gov/pubmed/36077000 http://dx.doi.org/10.3390/ijms23179601 |
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author | Janiszewska, Daria Szultka-Młyńska, Małgorzata Pomastowski, Paweł Buszewski, Bogusław |
author_facet | Janiszewska, Daria Szultka-Młyńska, Małgorzata Pomastowski, Paweł Buszewski, Bogusław |
author_sort | Janiszewska, Daria |
collection | PubMed |
description | The quick and accurate identification of microorganisms and the study of resistance to antibiotics is crucial in the economic and industrial fields along with medicine. One of the fastest-growing identification methods is the spectrometric approach consisting in the matrix-assisted laser ionization/desorption using a time-of-flight analyzer (MALDI-TOF MS), which has many advantages over conventional methods for the determination of microorganisms presented. Thanks to the use of a multiomic approach in the MALDI-TOF MS analysis, it is possible to obtain a broad spectrum of data allowing the identification of microorganisms, understanding their interactions and the analysis of antibiotic resistance mechanisms. In addition, the literature data indicate the possibility of a significant reduction in the time of the sample preparation and analysis time, which will enable a faster initiation of the treatment of patients. However, it is still necessary to improve the process of identifying and supplementing the existing databases along with creating new ones. This review summarizes the use of “-omics” approaches in the MALDI TOF MS analysis, including in bacterial identification and antibiotic resistance mechanisms analysis. |
format | Online Article Text |
id | pubmed-9455953 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94559532022-09-09 “Omic” Approaches to Bacteria and Antibiotic Resistance Identification Janiszewska, Daria Szultka-Młyńska, Małgorzata Pomastowski, Paweł Buszewski, Bogusław Int J Mol Sci Review The quick and accurate identification of microorganisms and the study of resistance to antibiotics is crucial in the economic and industrial fields along with medicine. One of the fastest-growing identification methods is the spectrometric approach consisting in the matrix-assisted laser ionization/desorption using a time-of-flight analyzer (MALDI-TOF MS), which has many advantages over conventional methods for the determination of microorganisms presented. Thanks to the use of a multiomic approach in the MALDI-TOF MS analysis, it is possible to obtain a broad spectrum of data allowing the identification of microorganisms, understanding their interactions and the analysis of antibiotic resistance mechanisms. In addition, the literature data indicate the possibility of a significant reduction in the time of the sample preparation and analysis time, which will enable a faster initiation of the treatment of patients. However, it is still necessary to improve the process of identifying and supplementing the existing databases along with creating new ones. This review summarizes the use of “-omics” approaches in the MALDI TOF MS analysis, including in bacterial identification and antibiotic resistance mechanisms analysis. MDPI 2022-08-24 /pmc/articles/PMC9455953/ /pubmed/36077000 http://dx.doi.org/10.3390/ijms23179601 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Janiszewska, Daria Szultka-Młyńska, Małgorzata Pomastowski, Paweł Buszewski, Bogusław “Omic” Approaches to Bacteria and Antibiotic Resistance Identification |
title | “Omic” Approaches to Bacteria and Antibiotic Resistance Identification |
title_full | “Omic” Approaches to Bacteria and Antibiotic Resistance Identification |
title_fullStr | “Omic” Approaches to Bacteria and Antibiotic Resistance Identification |
title_full_unstemmed | “Omic” Approaches to Bacteria and Antibiotic Resistance Identification |
title_short | “Omic” Approaches to Bacteria and Antibiotic Resistance Identification |
title_sort | “omic” approaches to bacteria and antibiotic resistance identification |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9455953/ https://www.ncbi.nlm.nih.gov/pubmed/36077000 http://dx.doi.org/10.3390/ijms23179601 |
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