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Pathogenic Detection by Metagenomic Next-Generation Sequencing in Osteoarticular Infections
Objectives: To evaluate metagenomic next-generation sequencing (mNGS) as a diagnostic tool in detecting pathogens from osteoarticular infection (OAI) samples. Methods: 130 samples of joint fluid, sonicate fluid, and tissue were prospectively collected from 92 patients with OAI. The performance of mN...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7527540/ https://www.ncbi.nlm.nih.gov/pubmed/33042860 http://dx.doi.org/10.3389/fcimb.2020.00471 |
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author | Huang, Zi-da Zhang, Zi-jie Yang, Bin Li, Wen-bo Zhang, Chong-jing Fang, Xin-yu Zhang, Chao-fan Zhang, Wen-ming Lin, Jian-hua |
author_facet | Huang, Zi-da Zhang, Zi-jie Yang, Bin Li, Wen-bo Zhang, Chong-jing Fang, Xin-yu Zhang, Chao-fan Zhang, Wen-ming Lin, Jian-hua |
author_sort | Huang, Zi-da |
collection | PubMed |
description | Objectives: To evaluate metagenomic next-generation sequencing (mNGS) as a diagnostic tool in detecting pathogens from osteoarticular infection (OAI) samples. Methods: 130 samples of joint fluid, sonicate fluid, and tissue were prospectively collected from 92 patients with OAI. The performance of mNGS and microbiology culture was compared pairwise. Results: The overall sensitivity of mNGS was 88.5% (115/130), significantly higher than that of microbiological culture, which had a sensitivity of 69.2% (90/130, p < 0.01). Sensitivity was significantly higher for joint fluid (mNGS: 86.7% vs. microbiology culture: 68.7%, p < 0.01) and sonicate fluid (mNGS: 100% vs. microbiology culture: 66.7%, p < 0.05) samples. mNGS detected 12 pathogenic strains undetected by microbiological culture. Additional pathogens detected by mNGS were Coagulase-negative Staphylococci, Gram-negative Bacillus, Streptococci, Anaerobe, non-tuberculosis mycobacterium, MTCP (p > 0.05), and Mycoplasma (OR = ∞, 95% confidence interval, 5.12–∞, p < 0.001). Additionally, sensitivity by mNGS was higher in antibiotic-treated samples compared to microbiological culture (89.7 vs. 61.5%, p < 0.01). Conclusions: mNGS is a robust diagnostic tool for pathogenic detection in samples from OAI patients, compared to routine cultures. The mNGS technique is particularly valuable to diagnose pathogens that are difficult to be cultured, or to test samples from patients previously treated with antibiotics. |
format | Online Article Text |
id | pubmed-7527540 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75275402020-10-09 Pathogenic Detection by Metagenomic Next-Generation Sequencing in Osteoarticular Infections Huang, Zi-da Zhang, Zi-jie Yang, Bin Li, Wen-bo Zhang, Chong-jing Fang, Xin-yu Zhang, Chao-fan Zhang, Wen-ming Lin, Jian-hua Front Cell Infect Microbiol Cellular and Infection Microbiology Objectives: To evaluate metagenomic next-generation sequencing (mNGS) as a diagnostic tool in detecting pathogens from osteoarticular infection (OAI) samples. Methods: 130 samples of joint fluid, sonicate fluid, and tissue were prospectively collected from 92 patients with OAI. The performance of mNGS and microbiology culture was compared pairwise. Results: The overall sensitivity of mNGS was 88.5% (115/130), significantly higher than that of microbiological culture, which had a sensitivity of 69.2% (90/130, p < 0.01). Sensitivity was significantly higher for joint fluid (mNGS: 86.7% vs. microbiology culture: 68.7%, p < 0.01) and sonicate fluid (mNGS: 100% vs. microbiology culture: 66.7%, p < 0.05) samples. mNGS detected 12 pathogenic strains undetected by microbiological culture. Additional pathogens detected by mNGS were Coagulase-negative Staphylococci, Gram-negative Bacillus, Streptococci, Anaerobe, non-tuberculosis mycobacterium, MTCP (p > 0.05), and Mycoplasma (OR = ∞, 95% confidence interval, 5.12–∞, p < 0.001). Additionally, sensitivity by mNGS was higher in antibiotic-treated samples compared to microbiological culture (89.7 vs. 61.5%, p < 0.01). Conclusions: mNGS is a robust diagnostic tool for pathogenic detection in samples from OAI patients, compared to routine cultures. The mNGS technique is particularly valuable to diagnose pathogens that are difficult to be cultured, or to test samples from patients previously treated with antibiotics. Frontiers Media S.A. 2020-09-17 /pmc/articles/PMC7527540/ /pubmed/33042860 http://dx.doi.org/10.3389/fcimb.2020.00471 Text en Copyright © 2020 Huang, Zhang, Yang, Li, Zhang, Fang, Zhang, Zhang and Lin. http://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 Huang, Zi-da Zhang, Zi-jie Yang, Bin Li, Wen-bo Zhang, Chong-jing Fang, Xin-yu Zhang, Chao-fan Zhang, Wen-ming Lin, Jian-hua Pathogenic Detection by Metagenomic Next-Generation Sequencing in Osteoarticular Infections |
title | Pathogenic Detection by Metagenomic Next-Generation Sequencing in Osteoarticular Infections |
title_full | Pathogenic Detection by Metagenomic Next-Generation Sequencing in Osteoarticular Infections |
title_fullStr | Pathogenic Detection by Metagenomic Next-Generation Sequencing in Osteoarticular Infections |
title_full_unstemmed | Pathogenic Detection by Metagenomic Next-Generation Sequencing in Osteoarticular Infections |
title_short | Pathogenic Detection by Metagenomic Next-Generation Sequencing in Osteoarticular Infections |
title_sort | pathogenic detection by metagenomic next-generation sequencing in osteoarticular infections |
topic | Cellular and Infection Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7527540/ https://www.ncbi.nlm.nih.gov/pubmed/33042860 http://dx.doi.org/10.3389/fcimb.2020.00471 |
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