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Clinical Metagenomics Is Increasingly Accurate and Affordable to Detect Enteric Bacterial Pathogens in Stool

Stool culture is the gold standard method to diagnose enteric bacterial infections; however, many clinical laboratories are transitioning to syndromic multiplex PCR panels. PCR is rapid, accurate, and affordable, yet does not yield subtyping information critical for foodborne disease surveillance. A...

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Autores principales: Peterson, Christy-Lynn, Alexander, David, Chen, Julie Chih-Yu, Adam, Heather, Walker, Matthew, Ali, Jennifer, Forbes, Jessica, Taboada, Eduardo, Barker, Dillon O. R., Graham, Morag, Knox, Natalie, Reimer, Aleisha R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880012/
https://www.ncbi.nlm.nih.gov/pubmed/35208895
http://dx.doi.org/10.3390/microorganisms10020441
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author Peterson, Christy-Lynn
Alexander, David
Chen, Julie Chih-Yu
Adam, Heather
Walker, Matthew
Ali, Jennifer
Forbes, Jessica
Taboada, Eduardo
Barker, Dillon O. R.
Graham, Morag
Knox, Natalie
Reimer, Aleisha R.
author_facet Peterson, Christy-Lynn
Alexander, David
Chen, Julie Chih-Yu
Adam, Heather
Walker, Matthew
Ali, Jennifer
Forbes, Jessica
Taboada, Eduardo
Barker, Dillon O. R.
Graham, Morag
Knox, Natalie
Reimer, Aleisha R.
author_sort Peterson, Christy-Lynn
collection PubMed
description Stool culture is the gold standard method to diagnose enteric bacterial infections; however, many clinical laboratories are transitioning to syndromic multiplex PCR panels. PCR is rapid, accurate, and affordable, yet does not yield subtyping information critical for foodborne disease surveillance. A metagenomics-based stool testing approach could simultaneously provide diagnostic and public health information. Here, we evaluated shotgun metagenomics to assess the detection of common enteric bacterial pathogens in stool. We sequenced 304 stool specimens from 285 patients alongside routine diagnostic testing for Salmonella spp., Campylobacter spp., Shigella spp., and shiga-toxin producing Escherichia coli. Five analytical approaches were assessed for pathogen detection: microbiome profiling, Kraken2, MetaPhlAn, SRST2, and KAT-SECT. Among analysis tools and databases compared, KAT-SECT analysis provided the best sensitivity and specificity for all pathogens tested compared to culture (91.2% and 96.2%, respectively). Where metagenomics detected a pathogen in culture-negative specimens, standard PCR was positive 85% of the time. The cost of metagenomics is approaching the current combined cost of PCR, reflex culture, and whole genome sequencing for pathogen detection and subtyping. As cost, speed, and analytics for single-approach metagenomics improve, it may be more routinely applied in clinical and public health laboratories.
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spelling pubmed-88800122022-02-26 Clinical Metagenomics Is Increasingly Accurate and Affordable to Detect Enteric Bacterial Pathogens in Stool Peterson, Christy-Lynn Alexander, David Chen, Julie Chih-Yu Adam, Heather Walker, Matthew Ali, Jennifer Forbes, Jessica Taboada, Eduardo Barker, Dillon O. R. Graham, Morag Knox, Natalie Reimer, Aleisha R. Microorganisms Article Stool culture is the gold standard method to diagnose enteric bacterial infections; however, many clinical laboratories are transitioning to syndromic multiplex PCR panels. PCR is rapid, accurate, and affordable, yet does not yield subtyping information critical for foodborne disease surveillance. A metagenomics-based stool testing approach could simultaneously provide diagnostic and public health information. Here, we evaluated shotgun metagenomics to assess the detection of common enteric bacterial pathogens in stool. We sequenced 304 stool specimens from 285 patients alongside routine diagnostic testing for Salmonella spp., Campylobacter spp., Shigella spp., and shiga-toxin producing Escherichia coli. Five analytical approaches were assessed for pathogen detection: microbiome profiling, Kraken2, MetaPhlAn, SRST2, and KAT-SECT. Among analysis tools and databases compared, KAT-SECT analysis provided the best sensitivity and specificity for all pathogens tested compared to culture (91.2% and 96.2%, respectively). Where metagenomics detected a pathogen in culture-negative specimens, standard PCR was positive 85% of the time. The cost of metagenomics is approaching the current combined cost of PCR, reflex culture, and whole genome sequencing for pathogen detection and subtyping. As cost, speed, and analytics for single-approach metagenomics improve, it may be more routinely applied in clinical and public health laboratories. MDPI 2022-02-15 /pmc/articles/PMC8880012/ /pubmed/35208895 http://dx.doi.org/10.3390/microorganisms10020441 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Peterson, Christy-Lynn
Alexander, David
Chen, Julie Chih-Yu
Adam, Heather
Walker, Matthew
Ali, Jennifer
Forbes, Jessica
Taboada, Eduardo
Barker, Dillon O. R.
Graham, Morag
Knox, Natalie
Reimer, Aleisha R.
Clinical Metagenomics Is Increasingly Accurate and Affordable to Detect Enteric Bacterial Pathogens in Stool
title Clinical Metagenomics Is Increasingly Accurate and Affordable to Detect Enteric Bacterial Pathogens in Stool
title_full Clinical Metagenomics Is Increasingly Accurate and Affordable to Detect Enteric Bacterial Pathogens in Stool
title_fullStr Clinical Metagenomics Is Increasingly Accurate and Affordable to Detect Enteric Bacterial Pathogens in Stool
title_full_unstemmed Clinical Metagenomics Is Increasingly Accurate and Affordable to Detect Enteric Bacterial Pathogens in Stool
title_short Clinical Metagenomics Is Increasingly Accurate and Affordable to Detect Enteric Bacterial Pathogens in Stool
title_sort clinical metagenomics is increasingly accurate and affordable to detect enteric bacterial pathogens in stool
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880012/
https://www.ncbi.nlm.nih.gov/pubmed/35208895
http://dx.doi.org/10.3390/microorganisms10020441
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