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Efficacy of 16S rRNA variable regions high-resolution melt analysis for bacterial pathogens identification in periprosthetic joint infections

BACKGROUND: Accurate and rapid identification of microorganisms causing periprosthetic joint infections (PJIs) are necessary for choosing an appropriate antibiotic therapy. Therefore, molecular techniques are suggested for diagnosis in suspected PJIs. The Broad-range PCR and High-Resolution Melt Ana...

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Autores principales: Bourbour, Samaneh, Emaneini, Mohammad, Jabalameli, Mahmoud, Mortazavi, Seyed Mohammad Javad, Tahmasebi, Mohamad Naghi, Taghizadeh, Amirheckmat, Sharafatvaziri, Arash, Beigverdi, Reza, Jabalameli, Fereshteh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8045251/
https://www.ncbi.nlm.nih.gov/pubmed/33849440
http://dx.doi.org/10.1186/s12866-021-02164-8
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author Bourbour, Samaneh
Emaneini, Mohammad
Jabalameli, Mahmoud
Mortazavi, Seyed Mohammad Javad
Tahmasebi, Mohamad Naghi
Taghizadeh, Amirheckmat
Sharafatvaziri, Arash
Beigverdi, Reza
Jabalameli, Fereshteh
author_facet Bourbour, Samaneh
Emaneini, Mohammad
Jabalameli, Mahmoud
Mortazavi, Seyed Mohammad Javad
Tahmasebi, Mohamad Naghi
Taghizadeh, Amirheckmat
Sharafatvaziri, Arash
Beigverdi, Reza
Jabalameli, Fereshteh
author_sort Bourbour, Samaneh
collection PubMed
description BACKGROUND: Accurate and rapid identification of microorganisms causing periprosthetic joint infections (PJIs) are necessary for choosing an appropriate antibiotic therapy. Therefore, molecular techniques are suggested for diagnosis in suspected PJIs. The Broad-range PCR and High-Resolution Melt Analysis (HRMA) were evaluated for the identification of causative organisms of PJIs in this study. RESULTS: For 47 of 63 specimens, both the culture and broad-range PCR were positive. The culture was found to be able of organism’s detection in 74.6% (47/63) of patients. Of 47 positive cultures, 11 (23.4%) were polymicrobial and 36 (76.59%) were monomicrobial cultures, in which 34 (91.89%) cases were detected by HRM assay. The sensitivity, specificity of HRMA vs monomicrobial culture were 91.89, 93.75%, respectively. The sensitivity, specificity of total HRMA (mono + poly) vs culture were 82.92, 93.75%. CONCLUSIONS: HRM assay coupled with broad-range PCR are effective screening, rapid, and relatively cost-effective methods for discrimination of PJIs especially in aiding culture method. Using computer programs such as the Matlab-2018b program for HRM data analysis is also valuable and helpful in diagnosis.
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spelling pubmed-80452512021-04-14 Efficacy of 16S rRNA variable regions high-resolution melt analysis for bacterial pathogens identification in periprosthetic joint infections Bourbour, Samaneh Emaneini, Mohammad Jabalameli, Mahmoud Mortazavi, Seyed Mohammad Javad Tahmasebi, Mohamad Naghi Taghizadeh, Amirheckmat Sharafatvaziri, Arash Beigverdi, Reza Jabalameli, Fereshteh BMC Microbiol Research Article BACKGROUND: Accurate and rapid identification of microorganisms causing periprosthetic joint infections (PJIs) are necessary for choosing an appropriate antibiotic therapy. Therefore, molecular techniques are suggested for diagnosis in suspected PJIs. The Broad-range PCR and High-Resolution Melt Analysis (HRMA) were evaluated for the identification of causative organisms of PJIs in this study. RESULTS: For 47 of 63 specimens, both the culture and broad-range PCR were positive. The culture was found to be able of organism’s detection in 74.6% (47/63) of patients. Of 47 positive cultures, 11 (23.4%) were polymicrobial and 36 (76.59%) were monomicrobial cultures, in which 34 (91.89%) cases were detected by HRM assay. The sensitivity, specificity of HRMA vs monomicrobial culture were 91.89, 93.75%, respectively. The sensitivity, specificity of total HRMA (mono + poly) vs culture were 82.92, 93.75%. CONCLUSIONS: HRM assay coupled with broad-range PCR are effective screening, rapid, and relatively cost-effective methods for discrimination of PJIs especially in aiding culture method. Using computer programs such as the Matlab-2018b program for HRM data analysis is also valuable and helpful in diagnosis. BioMed Central 2021-04-13 /pmc/articles/PMC8045251/ /pubmed/33849440 http://dx.doi.org/10.1186/s12866-021-02164-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Bourbour, Samaneh
Emaneini, Mohammad
Jabalameli, Mahmoud
Mortazavi, Seyed Mohammad Javad
Tahmasebi, Mohamad Naghi
Taghizadeh, Amirheckmat
Sharafatvaziri, Arash
Beigverdi, Reza
Jabalameli, Fereshteh
Efficacy of 16S rRNA variable regions high-resolution melt analysis for bacterial pathogens identification in periprosthetic joint infections
title Efficacy of 16S rRNA variable regions high-resolution melt analysis for bacterial pathogens identification in periprosthetic joint infections
title_full Efficacy of 16S rRNA variable regions high-resolution melt analysis for bacterial pathogens identification in periprosthetic joint infections
title_fullStr Efficacy of 16S rRNA variable regions high-resolution melt analysis for bacterial pathogens identification in periprosthetic joint infections
title_full_unstemmed Efficacy of 16S rRNA variable regions high-resolution melt analysis for bacterial pathogens identification in periprosthetic joint infections
title_short Efficacy of 16S rRNA variable regions high-resolution melt analysis for bacterial pathogens identification in periprosthetic joint infections
title_sort efficacy of 16s rrna variable regions high-resolution melt analysis for bacterial pathogens identification in periprosthetic joint infections
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8045251/
https://www.ncbi.nlm.nih.gov/pubmed/33849440
http://dx.doi.org/10.1186/s12866-021-02164-8
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