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...

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Main Authors: Yajing Song, Peter Gyarmati
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0219086
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spelling doaj-b7d5f95b6b9d444bb8e3ac5f824426e42021-03-03T20:36:23ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-01146e021908610.1371/journal.pone.0219086Optimized detection of bacteria in bloodstream infections.Yajing SongPeter GyarmatiBloodstream 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.https://doi.org/10.1371/journal.pone.0219086
collection DOAJ
language English
format Article
sources DOAJ
author Yajing Song
Peter Gyarmati
spellingShingle Yajing Song
Peter Gyarmati
Optimized detection of bacteria in bloodstream infections.
PLoS ONE
author_facet Yajing Song
Peter Gyarmati
author_sort Yajing Song
title Optimized detection of bacteria in bloodstream infections.
title_short 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_sort optimized detection of bacteria in bloodstream infections.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2019-01-01
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.
url https://doi.org/10.1371/journal.pone.0219086
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