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Detection of bacterial pathogens from clinical specimens using conventional microbial culture and 16S metagenomics: a comparative study
BACKGROUND: Infectious disease is the leading cause of death worldwide, and diagnosis of polymicrobial and fungal infections is increasingly challenging in the clinical setting. Conventionally, molecular detection is still the best method of species identification in clinical samples. However, the l...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5606128/ https://www.ncbi.nlm.nih.gov/pubmed/28927397 http://dx.doi.org/10.1186/s12879-017-2727-8 |
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author | Abayasekara, Lalanika M. Perera, Jennifer Chandrasekharan, Vishvanath Gnanam, Vaz S. Udunuwara, Nisala A. Liyanage, Dileepa S. Bulathsinhala, Nuwani E. Adikary, Subhashanie Aluthmuhandiram, Janith V. S. Thanaseelan, Chrishanthi S. Tharmakulasingam, D. Portia Karunakaran, Tharaga Ilango, Janahan |
author_facet | Abayasekara, Lalanika M. Perera, Jennifer Chandrasekharan, Vishvanath Gnanam, Vaz S. Udunuwara, Nisala A. Liyanage, Dileepa S. Bulathsinhala, Nuwani E. Adikary, Subhashanie Aluthmuhandiram, Janith V. S. Thanaseelan, Chrishanthi S. Tharmakulasingam, D. Portia Karunakaran, Tharaga Ilango, Janahan |
author_sort | Abayasekara, Lalanika M. |
collection | PubMed |
description | BACKGROUND: Infectious disease is the leading cause of death worldwide, and diagnosis of polymicrobial and fungal infections is increasingly challenging in the clinical setting. Conventionally, molecular detection is still the best method of species identification in clinical samples. However, the limitations of Sanger sequencing make diagnosis of polymicrobial infections one of the biggest hurdles in treatment. The development of massively parallel sequencing or next generation sequencing (NGS) has revolutionized the field of metagenomics, with wide application of the technology in identification of microbial communities in environmental sources, human gut and others. However, to date there has been no commercial application of this technology in infectious disease diagnostic settings. METHODS: Credence Genomics Rapid Infection Detection™ test, is a molecular based diagnostic test that uses next generation sequencing of bacterial 16S rRNA gene and fungal ITS1 gene region to provide accurate identification of species within a clinical sample. Here we present a study comparing 16S and ITS1 metagenomic identification against conventional culture for clinical samples. Using culture results as gold standard, a comparison was conducted using patient specimens from a clinical microbiology lab. RESULTS: Metagenomics based results show a 91.8% concordance rate for culture positive specimens and 52.8% concordance rate with culture negative samples. 10.3% of specimens were also positive for fungal species which was not investigated by culture. Specificity and sensitivity for metagenomics analysis is 91.8 and 52.7% respectively. CONCLUSION: 16S based metagenomic identification of bacterial species within a clinical specimen is on par with conventional culture based techniques and when coupled with clinical information can lead to an accurate diagnostic tool for infectious disease diagnosis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12879-017-2727-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5606128 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-56061282017-09-20 Detection of bacterial pathogens from clinical specimens using conventional microbial culture and 16S metagenomics: a comparative study Abayasekara, Lalanika M. Perera, Jennifer Chandrasekharan, Vishvanath Gnanam, Vaz S. Udunuwara, Nisala A. Liyanage, Dileepa S. Bulathsinhala, Nuwani E. Adikary, Subhashanie Aluthmuhandiram, Janith V. S. Thanaseelan, Chrishanthi S. Tharmakulasingam, D. Portia Karunakaran, Tharaga Ilango, Janahan BMC Infect Dis Technical Advance BACKGROUND: Infectious disease is the leading cause of death worldwide, and diagnosis of polymicrobial and fungal infections is increasingly challenging in the clinical setting. Conventionally, molecular detection is still the best method of species identification in clinical samples. However, the limitations of Sanger sequencing make diagnosis of polymicrobial infections one of the biggest hurdles in treatment. The development of massively parallel sequencing or next generation sequencing (NGS) has revolutionized the field of metagenomics, with wide application of the technology in identification of microbial communities in environmental sources, human gut and others. However, to date there has been no commercial application of this technology in infectious disease diagnostic settings. METHODS: Credence Genomics Rapid Infection Detection™ test, is a molecular based diagnostic test that uses next generation sequencing of bacterial 16S rRNA gene and fungal ITS1 gene region to provide accurate identification of species within a clinical sample. Here we present a study comparing 16S and ITS1 metagenomic identification against conventional culture for clinical samples. Using culture results as gold standard, a comparison was conducted using patient specimens from a clinical microbiology lab. RESULTS: Metagenomics based results show a 91.8% concordance rate for culture positive specimens and 52.8% concordance rate with culture negative samples. 10.3% of specimens were also positive for fungal species which was not investigated by culture. Specificity and sensitivity for metagenomics analysis is 91.8 and 52.7% respectively. CONCLUSION: 16S based metagenomic identification of bacterial species within a clinical specimen is on par with conventional culture based techniques and when coupled with clinical information can lead to an accurate diagnostic tool for infectious disease diagnosis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12879-017-2727-8) contains supplementary material, which is available to authorized users. BioMed Central 2017-09-19 /pmc/articles/PMC5606128/ /pubmed/28927397 http://dx.doi.org/10.1186/s12879-017-2727-8 Text en © The Author(s). 2017 Open AccessThis 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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Technical Advance Abayasekara, Lalanika M. Perera, Jennifer Chandrasekharan, Vishvanath Gnanam, Vaz S. Udunuwara, Nisala A. Liyanage, Dileepa S. Bulathsinhala, Nuwani E. Adikary, Subhashanie Aluthmuhandiram, Janith V. S. Thanaseelan, Chrishanthi S. Tharmakulasingam, D. Portia Karunakaran, Tharaga Ilango, Janahan Detection of bacterial pathogens from clinical specimens using conventional microbial culture and 16S metagenomics: a comparative study |
title | Detection of bacterial pathogens from clinical specimens using conventional microbial culture and 16S metagenomics: a comparative study |
title_full | Detection of bacterial pathogens from clinical specimens using conventional microbial culture and 16S metagenomics: a comparative study |
title_fullStr | Detection of bacterial pathogens from clinical specimens using conventional microbial culture and 16S metagenomics: a comparative study |
title_full_unstemmed | Detection of bacterial pathogens from clinical specimens using conventional microbial culture and 16S metagenomics: a comparative study |
title_short | Detection of bacterial pathogens from clinical specimens using conventional microbial culture and 16S metagenomics: a comparative study |
title_sort | detection of bacterial pathogens from clinical specimens using conventional microbial culture and 16s metagenomics: a comparative study |
topic | Technical Advance |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5606128/ https://www.ncbi.nlm.nih.gov/pubmed/28927397 http://dx.doi.org/10.1186/s12879-017-2727-8 |
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