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Current and Future Technologies for the Detection of Antibiotic-Resistant Bacteria
Antibiotic resistance is a global public health concern, posing a significant threat to the effectiveness of antibiotics in treating bacterial infections. The accurate and timely detection of antibiotic-resistant bacteria is crucial for implementing appropriate treatment strategies and preventing th...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606640/ https://www.ncbi.nlm.nih.gov/pubmed/37892067 http://dx.doi.org/10.3390/diagnostics13203246 |
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author | Yamin, Dina Uskoković, Vuk Wakil, Abubakar Muhammad Goni, Mohammed Dauda Shamsuddin, Shazana Hilda Mustafa, Fatin Hamimi Alfouzan, Wadha A. Alissa, Mohammed Alshengeti, Amer Almaghrabi, Rana H. Fares, Mona A. Al Garout, Mohammed Al Kaabi, Nawal A. Alshehri, Ahmad A. Ali, Hamza M. Rabaan, Ali A. Aldubisi, Fatimah Abdullah Yean, Chan Yean Yusof, Nik Yusnoraini |
author_facet | Yamin, Dina Uskoković, Vuk Wakil, Abubakar Muhammad Goni, Mohammed Dauda Shamsuddin, Shazana Hilda Mustafa, Fatin Hamimi Alfouzan, Wadha A. Alissa, Mohammed Alshengeti, Amer Almaghrabi, Rana H. Fares, Mona A. Al Garout, Mohammed Al Kaabi, Nawal A. Alshehri, Ahmad A. Ali, Hamza M. Rabaan, Ali A. Aldubisi, Fatimah Abdullah Yean, Chan Yean Yusof, Nik Yusnoraini |
author_sort | Yamin, Dina |
collection | PubMed |
description | Antibiotic resistance is a global public health concern, posing a significant threat to the effectiveness of antibiotics in treating bacterial infections. The accurate and timely detection of antibiotic-resistant bacteria is crucial for implementing appropriate treatment strategies and preventing the spread of resistant strains. This manuscript provides an overview of the current and emerging technologies used for the detection of antibiotic-resistant bacteria. We discuss traditional culture-based methods, molecular techniques, and innovative approaches, highlighting their advantages, limitations, and potential future applications. By understanding the strengths and limitations of these technologies, researchers and healthcare professionals can make informed decisions in combating antibiotic resistance and improving patient outcomes. |
format | Online Article Text |
id | pubmed-10606640 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106066402023-10-28 Current and Future Technologies for the Detection of Antibiotic-Resistant Bacteria Yamin, Dina Uskoković, Vuk Wakil, Abubakar Muhammad Goni, Mohammed Dauda Shamsuddin, Shazana Hilda Mustafa, Fatin Hamimi Alfouzan, Wadha A. Alissa, Mohammed Alshengeti, Amer Almaghrabi, Rana H. Fares, Mona A. Al Garout, Mohammed Al Kaabi, Nawal A. Alshehri, Ahmad A. Ali, Hamza M. Rabaan, Ali A. Aldubisi, Fatimah Abdullah Yean, Chan Yean Yusof, Nik Yusnoraini Diagnostics (Basel) Review Antibiotic resistance is a global public health concern, posing a significant threat to the effectiveness of antibiotics in treating bacterial infections. The accurate and timely detection of antibiotic-resistant bacteria is crucial for implementing appropriate treatment strategies and preventing the spread of resistant strains. This manuscript provides an overview of the current and emerging technologies used for the detection of antibiotic-resistant bacteria. We discuss traditional culture-based methods, molecular techniques, and innovative approaches, highlighting their advantages, limitations, and potential future applications. By understanding the strengths and limitations of these technologies, researchers and healthcare professionals can make informed decisions in combating antibiotic resistance and improving patient outcomes. MDPI 2023-10-18 /pmc/articles/PMC10606640/ /pubmed/37892067 http://dx.doi.org/10.3390/diagnostics13203246 Text en © 2023 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 Yamin, Dina Uskoković, Vuk Wakil, Abubakar Muhammad Goni, Mohammed Dauda Shamsuddin, Shazana Hilda Mustafa, Fatin Hamimi Alfouzan, Wadha A. Alissa, Mohammed Alshengeti, Amer Almaghrabi, Rana H. Fares, Mona A. Al Garout, Mohammed Al Kaabi, Nawal A. Alshehri, Ahmad A. Ali, Hamza M. Rabaan, Ali A. Aldubisi, Fatimah Abdullah Yean, Chan Yean Yusof, Nik Yusnoraini Current and Future Technologies for the Detection of Antibiotic-Resistant Bacteria |
title | Current and Future Technologies for the Detection of Antibiotic-Resistant Bacteria |
title_full | Current and Future Technologies for the Detection of Antibiotic-Resistant Bacteria |
title_fullStr | Current and Future Technologies for the Detection of Antibiotic-Resistant Bacteria |
title_full_unstemmed | Current and Future Technologies for the Detection of Antibiotic-Resistant Bacteria |
title_short | Current and Future Technologies for the Detection of Antibiotic-Resistant Bacteria |
title_sort | current and future technologies for the detection of antibiotic-resistant bacteria |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606640/ https://www.ncbi.nlm.nih.gov/pubmed/37892067 http://dx.doi.org/10.3390/diagnostics13203246 |
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