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Assessment of a semi-automated protocol for multiplex analysis of sepsis-causing bacteria with spiked whole blood samples

Sepsis is associated with high morbidity and mortality rates worldwide. Rapid and reliable diagnostic methods are needed for efficient and evidence-based treatment of septic patients. Recently, new molecular tools have emerged to complement the conventional culture-based diagnostic methods. In this...

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Autores principales: Laakso, Sanna, Mäki, Minna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3633352/
https://www.ncbi.nlm.nih.gov/pubmed/23417871
http://dx.doi.org/10.1002/mbo3.69
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author Laakso, Sanna
Mäki, Minna
author_facet Laakso, Sanna
Mäki, Minna
author_sort Laakso, Sanna
collection PubMed
description Sepsis is associated with high morbidity and mortality rates worldwide. Rapid and reliable diagnostic methods are needed for efficient and evidence-based treatment of septic patients. Recently, new molecular tools have emerged to complement the conventional culture-based diagnostic methods. In this study, we used spiked whole blood samples to evaluate together two ready-to-use molecular solutions for the detection of sepsis-causing bacteria. We spiked whole blood with bacterial species relevant in sepsis and extracted bacterial DNA with the NorDiag Arrow device, using the SelectNA Blood pathogen DNA isolation kit. DNA extracts were analyzed by the polymerase chain reaction (PCR)- and microarray-based Prove-it™ Bone and Joint assay, resulting in correctly identified bacterial species with detection limits of 11–600 colony-forming unit/mL (CFU/mL). To understand the recovery losses of bacterial DNA during the sample preparation step and the capability of the PCR- and microarray-based platform to respond to the sensitivity requirements, we also determined the analytical sensitivity of the PCR and microarray platform to be 1–21 genome equivalents for the tested bacterial species. In addition, the inclusivity of the Prove-it™ Bone and Joint assay was demonstrated with methicillin-resistant Staphylococcus aureus (MRSA) clones carrying SCCmec types I, II, IV, or V and a nontypable SCCmec type. The proof-of-concept for accurate multiplex pathogen and antibacterial resistance marker detection from spiked whole blood samples was demonstrated by the selective bacterial DNA extraction method combined with the high-throughput PCR- and microarray-based platform. Further investigations are needed to study the promising potential of the concept for sensitive, semi-automated identification of sepsis-causing pathogens directly from whole blood.
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spelling pubmed-36333522013-04-24 Assessment of a semi-automated protocol for multiplex analysis of sepsis-causing bacteria with spiked whole blood samples Laakso, Sanna Mäki, Minna Microbiologyopen Original Research Sepsis is associated with high morbidity and mortality rates worldwide. Rapid and reliable diagnostic methods are needed for efficient and evidence-based treatment of septic patients. Recently, new molecular tools have emerged to complement the conventional culture-based diagnostic methods. In this study, we used spiked whole blood samples to evaluate together two ready-to-use molecular solutions for the detection of sepsis-causing bacteria. We spiked whole blood with bacterial species relevant in sepsis and extracted bacterial DNA with the NorDiag Arrow device, using the SelectNA Blood pathogen DNA isolation kit. DNA extracts were analyzed by the polymerase chain reaction (PCR)- and microarray-based Prove-it™ Bone and Joint assay, resulting in correctly identified bacterial species with detection limits of 11–600 colony-forming unit/mL (CFU/mL). To understand the recovery losses of bacterial DNA during the sample preparation step and the capability of the PCR- and microarray-based platform to respond to the sensitivity requirements, we also determined the analytical sensitivity of the PCR and microarray platform to be 1–21 genome equivalents for the tested bacterial species. In addition, the inclusivity of the Prove-it™ Bone and Joint assay was demonstrated with methicillin-resistant Staphylococcus aureus (MRSA) clones carrying SCCmec types I, II, IV, or V and a nontypable SCCmec type. The proof-of-concept for accurate multiplex pathogen and antibacterial resistance marker detection from spiked whole blood samples was demonstrated by the selective bacterial DNA extraction method combined with the high-throughput PCR- and microarray-based platform. Further investigations are needed to study the promising potential of the concept for sensitive, semi-automated identification of sepsis-causing pathogens directly from whole blood. Blackwell Publishing Ltd 2013-04 2013-02-18 /pmc/articles/PMC3633352/ /pubmed/23417871 http://dx.doi.org/10.1002/mbo3.69 Text en © 2013 Published by Blackwell Publishing Ltd. http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.
spellingShingle Original Research
Laakso, Sanna
Mäki, Minna
Assessment of a semi-automated protocol for multiplex analysis of sepsis-causing bacteria with spiked whole blood samples
title Assessment of a semi-automated protocol for multiplex analysis of sepsis-causing bacteria with spiked whole blood samples
title_full Assessment of a semi-automated protocol for multiplex analysis of sepsis-causing bacteria with spiked whole blood samples
title_fullStr Assessment of a semi-automated protocol for multiplex analysis of sepsis-causing bacteria with spiked whole blood samples
title_full_unstemmed Assessment of a semi-automated protocol for multiplex analysis of sepsis-causing bacteria with spiked whole blood samples
title_short Assessment of a semi-automated protocol for multiplex analysis of sepsis-causing bacteria with spiked whole blood samples
title_sort assessment of a semi-automated protocol for multiplex analysis of sepsis-causing bacteria with spiked whole blood samples
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3633352/
https://www.ncbi.nlm.nih.gov/pubmed/23417871
http://dx.doi.org/10.1002/mbo3.69
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