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Advances in automated techniques to identify Acinetobacter calcoaceticus–Acinetobacter baumannii complex
Acinetobacter species, particularly those within Acinetobacter calcoaceticus–A. baumannii complex (ACB complex), have emerged as clinically relevant pathogens in hospital environments worldwide. Early and quick detection and identification of Acinetobacter infections is challenging, and traditional...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Sciendo
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373397/ https://www.ncbi.nlm.nih.gov/pubmed/37551265 http://dx.doi.org/10.1515/abm-2020-0026 |
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author | Bagudo, Ahmad Ibrahim Obande, Godwin Attah Harun, Azian Singh, Kirnpal Kaur Banga |
author_facet | Bagudo, Ahmad Ibrahim Obande, Godwin Attah Harun, Azian Singh, Kirnpal Kaur Banga |
author_sort | Bagudo, Ahmad Ibrahim |
collection | PubMed |
description | Acinetobacter species, particularly those within Acinetobacter calcoaceticus–A. baumannii complex (ACB complex), have emerged as clinically relevant pathogens in hospital environments worldwide. Early and quick detection and identification of Acinetobacter infections is challenging, and traditional culture and biochemical methods may not achieve adequate levels of speciation. Moreover, currently available techniques to identify and differentiate closely related Acinetobacter species are insufficient. The objective of this review is to recapitulate the current evolution in phenotypic and automated techniques used to identify the ACB complex. Compared with other automated or semiautomated systems of bacterial identification, matrix-assisted laser desorption–ionization time-of-flight mass spectrometry (MALDI-TOF MS) demonstrates a high level of Acinetobacter species identification and discrimination, including newly discovered species A. seifertii and A. dijkshoorniae. |
format | Online Article Text |
id | pubmed-10373397 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Sciendo |
record_format | MEDLINE/PubMed |
spelling | pubmed-103733972023-08-07 Advances in automated techniques to identify Acinetobacter calcoaceticus–Acinetobacter baumannii complex Bagudo, Ahmad Ibrahim Obande, Godwin Attah Harun, Azian Singh, Kirnpal Kaur Banga Asian Biomed (Res Rev News) Review Acinetobacter species, particularly those within Acinetobacter calcoaceticus–A. baumannii complex (ACB complex), have emerged as clinically relevant pathogens in hospital environments worldwide. Early and quick detection and identification of Acinetobacter infections is challenging, and traditional culture and biochemical methods may not achieve adequate levels of speciation. Moreover, currently available techniques to identify and differentiate closely related Acinetobacter species are insufficient. The objective of this review is to recapitulate the current evolution in phenotypic and automated techniques used to identify the ACB complex. Compared with other automated or semiautomated systems of bacterial identification, matrix-assisted laser desorption–ionization time-of-flight mass spectrometry (MALDI-TOF MS) demonstrates a high level of Acinetobacter species identification and discrimination, including newly discovered species A. seifertii and A. dijkshoorniae. Sciendo 2020-10-31 /pmc/articles/PMC10373397/ /pubmed/37551265 http://dx.doi.org/10.1515/abm-2020-0026 Text en © 2020 Ahmad Ibrahim Bagudo et al., published by Sciendo https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. |
spellingShingle | Review Bagudo, Ahmad Ibrahim Obande, Godwin Attah Harun, Azian Singh, Kirnpal Kaur Banga Advances in automated techniques to identify Acinetobacter calcoaceticus–Acinetobacter baumannii complex |
title | Advances in automated techniques to identify Acinetobacter calcoaceticus–Acinetobacter baumannii complex |
title_full | Advances in automated techniques to identify Acinetobacter calcoaceticus–Acinetobacter baumannii complex |
title_fullStr | Advances in automated techniques to identify Acinetobacter calcoaceticus–Acinetobacter baumannii complex |
title_full_unstemmed | Advances in automated techniques to identify Acinetobacter calcoaceticus–Acinetobacter baumannii complex |
title_short | Advances in automated techniques to identify Acinetobacter calcoaceticus–Acinetobacter baumannii complex |
title_sort | advances in automated techniques to identify acinetobacter calcoaceticus–acinetobacter baumannii complex |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373397/ https://www.ncbi.nlm.nih.gov/pubmed/37551265 http://dx.doi.org/10.1515/abm-2020-0026 |
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