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Antibiotic Resistance Diagnosis in ESKAPE Pathogens—A Review on Proteomic Perspective

Antibiotic resistance has emerged as an imminent pandemic. Rapid diagnostic assays distinguish bacterial infections from other diseases and aid antimicrobial stewardship, therapy optimization, and epidemiological surveillance. Traditional methods typically have longer turn-around times for definitiv...

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Detalles Bibliográficos
Autores principales: Kalpana, Sriram, Lin, Wan-Ying, Wang, Yu-Chiang, Fu, Yiwen, Lakshmi, Amrutha, Wang, Hsin-Yao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10047325/
https://www.ncbi.nlm.nih.gov/pubmed/36980322
http://dx.doi.org/10.3390/diagnostics13061014
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author Kalpana, Sriram
Lin, Wan-Ying
Wang, Yu-Chiang
Fu, Yiwen
Lakshmi, Amrutha
Wang, Hsin-Yao
author_facet Kalpana, Sriram
Lin, Wan-Ying
Wang, Yu-Chiang
Fu, Yiwen
Lakshmi, Amrutha
Wang, Hsin-Yao
author_sort Kalpana, Sriram
collection PubMed
description Antibiotic resistance has emerged as an imminent pandemic. Rapid diagnostic assays distinguish bacterial infections from other diseases and aid antimicrobial stewardship, therapy optimization, and epidemiological surveillance. Traditional methods typically have longer turn-around times for definitive results. On the other hand, proteomic studies have progressed constantly and improved both in qualitative and quantitative analysis. With a wide range of data sets made available in the public domain, the ability to interpret the data has considerably reduced the error rates. This review gives an insight on state-of-the-art proteomic techniques in diagnosing antibiotic resistance in ESKAPE pathogens with a future outlook for evading the “imminent pandemic”.
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spelling pubmed-100473252023-03-29 Antibiotic Resistance Diagnosis in ESKAPE Pathogens—A Review on Proteomic Perspective Kalpana, Sriram Lin, Wan-Ying Wang, Yu-Chiang Fu, Yiwen Lakshmi, Amrutha Wang, Hsin-Yao Diagnostics (Basel) Review Antibiotic resistance has emerged as an imminent pandemic. Rapid diagnostic assays distinguish bacterial infections from other diseases and aid antimicrobial stewardship, therapy optimization, and epidemiological surveillance. Traditional methods typically have longer turn-around times for definitive results. On the other hand, proteomic studies have progressed constantly and improved both in qualitative and quantitative analysis. With a wide range of data sets made available in the public domain, the ability to interpret the data has considerably reduced the error rates. This review gives an insight on state-of-the-art proteomic techniques in diagnosing antibiotic resistance in ESKAPE pathogens with a future outlook for evading the “imminent pandemic”. MDPI 2023-03-07 /pmc/articles/PMC10047325/ /pubmed/36980322 http://dx.doi.org/10.3390/diagnostics13061014 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
Kalpana, Sriram
Lin, Wan-Ying
Wang, Yu-Chiang
Fu, Yiwen
Lakshmi, Amrutha
Wang, Hsin-Yao
Antibiotic Resistance Diagnosis in ESKAPE Pathogens—A Review on Proteomic Perspective
title Antibiotic Resistance Diagnosis in ESKAPE Pathogens—A Review on Proteomic Perspective
title_full Antibiotic Resistance Diagnosis in ESKAPE Pathogens—A Review on Proteomic Perspective
title_fullStr Antibiotic Resistance Diagnosis in ESKAPE Pathogens—A Review on Proteomic Perspective
title_full_unstemmed Antibiotic Resistance Diagnosis in ESKAPE Pathogens—A Review on Proteomic Perspective
title_short Antibiotic Resistance Diagnosis in ESKAPE Pathogens—A Review on Proteomic Perspective
title_sort antibiotic resistance diagnosis in eskape pathogens—a review on proteomic perspective
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10047325/
https://www.ncbi.nlm.nih.gov/pubmed/36980322
http://dx.doi.org/10.3390/diagnostics13061014
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