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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...

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Autores principales: Zhang, Yi, Chen, Jinmei, Yi, Xiaoli, Chen, Zhiheng, Yao, Ting, Tang, Zhenghao, Zang, Guoqing, Cao, Xuejie, Lian, Xiaofeng, Chen, Xiaohua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
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.
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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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