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Evaluating next-generation sequencing for direct clinical diagnostics in diarrhoeal disease
The accurate microbiological diagnosis of diarrhoea involves numerous laboratory tests and, often, the pathogen is not identified in time to guide clinical management. With next-generation sequencing (NGS) becoming cheaper, it has huge potential in routine diagnostics. The aim of this study was to e...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5495851/ https://www.ncbi.nlm.nih.gov/pubmed/28285331 http://dx.doi.org/10.1007/s10096-017-2947-2 |
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author | Joensen, K. G. Engsbro, A. L. Ø. Lukjancenko, O. Kaas, R. S. Lund, O. Westh, H. Aarestrup, F. M. |
author_facet | Joensen, K. G. Engsbro, A. L. Ø. Lukjancenko, O. Kaas, R. S. Lund, O. Westh, H. Aarestrup, F. M. |
author_sort | Joensen, K. G. |
collection | PubMed |
description | The accurate microbiological diagnosis of diarrhoea involves numerous laboratory tests and, often, the pathogen is not identified in time to guide clinical management. With next-generation sequencing (NGS) becoming cheaper, it has huge potential in routine diagnostics. The aim of this study was to evaluate the potential of NGS-based diagnostics through direct sequencing of faecal samples. Fifty-eight clinical faecal samples were obtained from patients with diarrhoea as part of the routine diagnostics at Hvidovre University Hospital, Denmark. Ten samples from healthy individuals were also included. DNA was extracted from faecal samples and sequenced on the Illumina MiSeq system. Species distribution was determined with MGmapper and NGS-based diagnostic prediction was performed based on the relative abundance of pathogenic bacteria and Giardia and detection of pathogen-specific virulence genes. NGS-based diagnostic results were compared to conventional findings for 55 of the diarrhoeal samples; 38 conventionally positive for bacterial pathogens, two positive for Giardia, four positive for virus and 11 conventionally negative. The NGS-based approach enabled detection of the same bacterial pathogens as the classical approach in 34 of the 38 conventionally positive bacterial samples and predicted the responsible pathogens in five of the 11 conventionally negative samples. Overall, the NGS-based approach enabled pathogen detection comparable to conventional diagnostics and the approach has potential to be extended for the detection of all pathogens. At present, however, this approach is too expensive and time-consuming for routine diagnostics. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10096-017-2947-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5495851 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-54958512017-07-18 Evaluating next-generation sequencing for direct clinical diagnostics in diarrhoeal disease Joensen, K. G. Engsbro, A. L. Ø. Lukjancenko, O. Kaas, R. S. Lund, O. Westh, H. Aarestrup, F. M. Eur J Clin Microbiol Infect Dis Original Article The accurate microbiological diagnosis of diarrhoea involves numerous laboratory tests and, often, the pathogen is not identified in time to guide clinical management. With next-generation sequencing (NGS) becoming cheaper, it has huge potential in routine diagnostics. The aim of this study was to evaluate the potential of NGS-based diagnostics through direct sequencing of faecal samples. Fifty-eight clinical faecal samples were obtained from patients with diarrhoea as part of the routine diagnostics at Hvidovre University Hospital, Denmark. Ten samples from healthy individuals were also included. DNA was extracted from faecal samples and sequenced on the Illumina MiSeq system. Species distribution was determined with MGmapper and NGS-based diagnostic prediction was performed based on the relative abundance of pathogenic bacteria and Giardia and detection of pathogen-specific virulence genes. NGS-based diagnostic results were compared to conventional findings for 55 of the diarrhoeal samples; 38 conventionally positive for bacterial pathogens, two positive for Giardia, four positive for virus and 11 conventionally negative. The NGS-based approach enabled detection of the same bacterial pathogens as the classical approach in 34 of the 38 conventionally positive bacterial samples and predicted the responsible pathogens in five of the 11 conventionally negative samples. Overall, the NGS-based approach enabled pathogen detection comparable to conventional diagnostics and the approach has potential to be extended for the detection of all pathogens. At present, however, this approach is too expensive and time-consuming for routine diagnostics. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10096-017-2947-2) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2017-03-11 2017 /pmc/articles/PMC5495851/ /pubmed/28285331 http://dx.doi.org/10.1007/s10096-017-2947-2 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Article Joensen, K. G. Engsbro, A. L. Ø. Lukjancenko, O. Kaas, R. S. Lund, O. Westh, H. Aarestrup, F. M. Evaluating next-generation sequencing for direct clinical diagnostics in diarrhoeal disease |
title | Evaluating next-generation sequencing for direct clinical diagnostics in diarrhoeal disease |
title_full | Evaluating next-generation sequencing for direct clinical diagnostics in diarrhoeal disease |
title_fullStr | Evaluating next-generation sequencing for direct clinical diagnostics in diarrhoeal disease |
title_full_unstemmed | Evaluating next-generation sequencing for direct clinical diagnostics in diarrhoeal disease |
title_short | Evaluating next-generation sequencing for direct clinical diagnostics in diarrhoeal disease |
title_sort | evaluating next-generation sequencing for direct clinical diagnostics in diarrhoeal disease |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5495851/ https://www.ncbi.nlm.nih.gov/pubmed/28285331 http://dx.doi.org/10.1007/s10096-017-2947-2 |
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