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Optimized detection of bacteria in bloodstream infections
Bloodstream infection (BSI) is a life-threatening condition characterized by the presence of pathogens in the blood. It is associated with increased morbidity and mortality, and has to be treated promptly as mortality increases with every hour of delayed treatment. Therefore, rapid and sensitive dia...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6594679/ https://www.ncbi.nlm.nih.gov/pubmed/31242256 http://dx.doi.org/10.1371/journal.pone.0219086 |
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author | Song, Yajing Gyarmati, Peter |
author_facet | Song, Yajing Gyarmati, Peter |
author_sort | Song, Yajing |
collection | PubMed |
description | Bloodstream infection (BSI) is a life-threatening condition characterized by the presence of pathogens in the blood. It is associated with increased morbidity and mortality, and has to be treated promptly as mortality increases with every hour of delayed treatment. Therefore, rapid and sensitive diagnosis of BSI is essential. The routine diagnostic method for BSI is blood culture, which can only detect culturable pathogens and takes several days to obtain results. The 16S rRNA gene is present in all bacteria and is commonly used as a target for universal bacterial detection in rapid molecular assays such as PCR. However, molecular detection of the 16S gene is hampered by the large amount of human DNA found in blood samples, making diagnostic results aspecific and less sensitive. We have optimized the selection of PCR primers targeting the 16S rRNA gene to avoid cross-reaction with human DNA background. The developed method increases specificity and sensitivity for pathogen diagnosis, and provides rapid and accurate pathogen detection for rare bacterial DNA in the presence of abundant host DNA. |
format | Online Article Text |
id | pubmed-6594679 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-65946792019-07-05 Optimized detection of bacteria in bloodstream infections Song, Yajing Gyarmati, Peter PLoS One Research Article Bloodstream infection (BSI) is a life-threatening condition characterized by the presence of pathogens in the blood. It is associated with increased morbidity and mortality, and has to be treated promptly as mortality increases with every hour of delayed treatment. Therefore, rapid and sensitive diagnosis of BSI is essential. The routine diagnostic method for BSI is blood culture, which can only detect culturable pathogens and takes several days to obtain results. The 16S rRNA gene is present in all bacteria and is commonly used as a target for universal bacterial detection in rapid molecular assays such as PCR. However, molecular detection of the 16S gene is hampered by the large amount of human DNA found in blood samples, making diagnostic results aspecific and less sensitive. We have optimized the selection of PCR primers targeting the 16S rRNA gene to avoid cross-reaction with human DNA background. The developed method increases specificity and sensitivity for pathogen diagnosis, and provides rapid and accurate pathogen detection for rare bacterial DNA in the presence of abundant host DNA. Public Library of Science 2019-06-26 /pmc/articles/PMC6594679/ /pubmed/31242256 http://dx.doi.org/10.1371/journal.pone.0219086 Text en © 2019 Song, Gyarmati http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Song, Yajing Gyarmati, Peter Optimized detection of bacteria in bloodstream infections |
title | Optimized detection of bacteria in bloodstream infections |
title_full | Optimized detection of bacteria in bloodstream infections |
title_fullStr | Optimized detection of bacteria in bloodstream infections |
title_full_unstemmed | Optimized detection of bacteria in bloodstream infections |
title_short | Optimized detection of bacteria in bloodstream infections |
title_sort | optimized detection of bacteria in bloodstream infections |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6594679/ https://www.ncbi.nlm.nih.gov/pubmed/31242256 http://dx.doi.org/10.1371/journal.pone.0219086 |
work_keys_str_mv | AT songyajing optimizeddetectionofbacteriainbloodstreaminfections AT gyarmatipeter optimizeddetectionofbacteriainbloodstreaminfections |