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Evaluation of the metagenomic next-generation sequencing performance in pathogenic detection in patients with spinal infection
Spinal infection is a rarely occurred pathology, whose diagnosis remains a major challenge due to the low sensitivity of culturing techniques. Metagenomic next-generation sequencing (mNGS) is a novel approach to identify the pathogenic organisms in infectious diseases. In this study, mNGS technology...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646980/ https://www.ncbi.nlm.nih.gov/pubmed/36389162 http://dx.doi.org/10.3389/fcimb.2022.967584 |
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author | Zhang, Yi Chen, Jinmei Yi, Xiaoli Chen, Zhiheng Yao, Ting Tang, Zhenghao Zang, Guoqing Cao, Xuejie Lian, Xiaofeng Chen, Xiaohua |
author_facet | Zhang, Yi Chen, Jinmei Yi, Xiaoli Chen, Zhiheng Yao, Ting Tang, Zhenghao Zang, Guoqing Cao, Xuejie Lian, Xiaofeng Chen, Xiaohua |
author_sort | Zhang, Yi |
collection | PubMed |
description | Spinal infection is a rarely occurred pathology, whose diagnosis remains a major challenge due to the low sensitivity of culturing techniques. Metagenomic next-generation sequencing (mNGS) is a novel approach to identify the pathogenic organisms in infectious diseases. In this study, mNGS technology was adopted for pathogenic detection in spinal infection from the tissue and pus samples. Additionally, the diagnostic performance of mNGS for spinal infection was evaluated, by comparing it with that of the conventional microbial culture, with the histopathological results as the gold standard. Overall, 56 samples from 38 patients were enrolled for mNGS testing, and 69 samples were included for microbial culture. 30 patients (78.95%) were identified to be positive by the mNGS method, which was higher than that of microbial culture (17, 44.74%). The sensitivity and specificity of mNGS with pus samples were 84.2% and 100.0%, respectively, which outperformed those of microbial culture (42.1% and 100.0%). The pathogen identification results were applied to medication guidance, and all 38 patients experienced favorable outcomes at three months, followed-up post-treatment, without any adverse effects. These findings proved that mNGS was superior to microbial culture in pathogenic identification of the spinal infection, thereby showing great promise in guiding drug administration and improving clinical outcomes. |
format | Online Article Text |
id | pubmed-9646980 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96469802022-11-15 Evaluation of the metagenomic next-generation sequencing performance in pathogenic detection in patients with spinal infection Zhang, Yi Chen, Jinmei Yi, Xiaoli Chen, Zhiheng Yao, Ting Tang, Zhenghao Zang, Guoqing Cao, Xuejie Lian, Xiaofeng Chen, Xiaohua Front Cell Infect Microbiol Cellular and Infection Microbiology Spinal infection is a rarely occurred pathology, whose diagnosis remains a major challenge due to the low sensitivity of culturing techniques. Metagenomic next-generation sequencing (mNGS) is a novel approach to identify the pathogenic organisms in infectious diseases. In this study, mNGS technology was adopted for pathogenic detection in spinal infection from the tissue and pus samples. Additionally, the diagnostic performance of mNGS for spinal infection was evaluated, by comparing it with that of the conventional microbial culture, with the histopathological results as the gold standard. Overall, 56 samples from 38 patients were enrolled for mNGS testing, and 69 samples were included for microbial culture. 30 patients (78.95%) were identified to be positive by the mNGS method, which was higher than that of microbial culture (17, 44.74%). The sensitivity and specificity of mNGS with pus samples were 84.2% and 100.0%, respectively, which outperformed those of microbial culture (42.1% and 100.0%). The pathogen identification results were applied to medication guidance, and all 38 patients experienced favorable outcomes at three months, followed-up post-treatment, without any adverse effects. These findings proved that mNGS was superior to microbial culture in pathogenic identification of the spinal infection, thereby showing great promise in guiding drug administration and improving clinical outcomes. Frontiers Media S.A. 2022-10-27 /pmc/articles/PMC9646980/ /pubmed/36389162 http://dx.doi.org/10.3389/fcimb.2022.967584 Text en Copyright © 2022 Zhang, Chen, Yi, Chen, Yao, Tang, Zang, Cao, Lian and Chen https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cellular and Infection Microbiology Zhang, Yi Chen, Jinmei Yi, Xiaoli Chen, Zhiheng Yao, Ting Tang, Zhenghao Zang, Guoqing Cao, Xuejie Lian, Xiaofeng Chen, Xiaohua Evaluation of the metagenomic next-generation sequencing performance in pathogenic detection in patients with spinal infection |
title | Evaluation of the metagenomic next-generation sequencing performance in pathogenic detection in patients with spinal infection |
title_full | Evaluation of the metagenomic next-generation sequencing performance in pathogenic detection in patients with spinal infection |
title_fullStr | Evaluation of the metagenomic next-generation sequencing performance in pathogenic detection in patients with spinal infection |
title_full_unstemmed | Evaluation of the metagenomic next-generation sequencing performance in pathogenic detection in patients with spinal infection |
title_short | Evaluation of the metagenomic next-generation sequencing performance in pathogenic detection in patients with spinal infection |
title_sort | evaluation of the metagenomic next-generation sequencing performance in pathogenic detection in patients with spinal infection |
topic | Cellular and Infection Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646980/ https://www.ncbi.nlm.nih.gov/pubmed/36389162 http://dx.doi.org/10.3389/fcimb.2022.967584 |
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