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High-throughput screening of bacterial pathogens in clinical specimens using 16S rDNA qPCR and fragment analysis


Wagner, K; Springer, B; Pires, V P; Keller, P M (2019). High-throughput screening of bacterial pathogens in clinical specimens using 16S rDNA qPCR and fragment analysis. Diagnostic Microbiology and Infectious Disease, 93(4):287-292.

Abstract

Molecular-based detection of bacterial pathogens directly from clinical specimens permits rapid initiation of effective antimicrobial treatment and adequate patient management. Broad-range polymerase chain reaction (PCR) amplification of the 16S rRNA gene (16S rDNA qPCR) is used in many diagnostic laboratories as a complement to cultural identification of bacterial pathogens. However, efforts for automation of 16S rDNA PCR workflows are needed in order to reduce turnaround times and to enhance reproducibility and standardization of the technique. In this retrospective method evaluation study, clinical specimens (N = 499) from patients with suspected bacterial infections were used to evaluate 2 diagnostic semiautomated workflows for rapid bacterial pathogen detection. The workflows included automated DNA extraction (QIASymphony), 16S rDNA qPCR, fragment or melting curve analysis, and amplicon sequencing. Our results support the use of the 16S rDNA qPCR and fragment analysis workflow as it enabled rapid and accurate identification of bacterial pathogens in clinical specimens.

Abstract

Molecular-based detection of bacterial pathogens directly from clinical specimens permits rapid initiation of effective antimicrobial treatment and adequate patient management. Broad-range polymerase chain reaction (PCR) amplification of the 16S rRNA gene (16S rDNA qPCR) is used in many diagnostic laboratories as a complement to cultural identification of bacterial pathogens. However, efforts for automation of 16S rDNA PCR workflows are needed in order to reduce turnaround times and to enhance reproducibility and standardization of the technique. In this retrospective method evaluation study, clinical specimens (N = 499) from patients with suspected bacterial infections were used to evaluate 2 diagnostic semiautomated workflows for rapid bacterial pathogen detection. The workflows included automated DNA extraction (QIASymphony), 16S rDNA qPCR, fragment or melting curve analysis, and amplicon sequencing. Our results support the use of the 16S rDNA qPCR and fragment analysis workflow as it enabled rapid and accurate identification of bacterial pathogens in clinical specimens.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Institute of Medical Microbiology
Dewey Decimal Classification:570 Life sciences; biology
610 Medicine & health
Language:English
Date:1 April 2019
Deposited On:08 Mar 2019 10:11
Last Modified:09 Mar 2019 02:07
Publisher:Elsevier
ISSN:0732-8893
OA Status:Green
Publisher DOI:https://doi.org/10.1016/j.diagmicrobio.2018.11.006
PubMed ID:30545581

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