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Metagenomic next-generation sequencing assistance in identifying non-tuberculous mycobacterial infections
INTRODUCTION: The advent of metagenomics next-generation sequencing (mNGS) has garnered attention as a novel method for detecting pathogenic infections, including Non-Tuberculous Mycobacterial (NTM) and tuberculosis (TB).However, the robustness and specificity of mNGS in NTM diagnostics have not bee...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10500063/ https://www.ncbi.nlm.nih.gov/pubmed/37719673 http://dx.doi.org/10.3389/fcimb.2023.1253020 |
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author | Wang, Shilei Xing, Lihua |
author_facet | Wang, Shilei Xing, Lihua |
author_sort | Wang, Shilei |
collection | PubMed |
description | INTRODUCTION: The advent of metagenomics next-generation sequencing (mNGS) has garnered attention as a novel method for detecting pathogenic infections, including Non-Tuberculous Mycobacterial (NTM) and tuberculosis (TB).However, the robustness and specificity of mNGS in NTM diagnostics have not been fully explored. METHODS: In this retrospective study, we enrolled 27 patients with NTM genomic sequences via mNGS and conducted a comprehensive clinical evaluation. RESULTS: Pulmonary NTM disease was the most commonly observed presentation, with a subset of patients also presenting with extrapulmonary NTM infections.mNGS analysis identified six distinct NTM species, primarily Mycobacteriumavium complex (MAC), followed by Mycobacterium intracellulare andMycobacterium abscessus. Conventional routine culture methods encountered challenges, resulting in negative results for all available 22 samples. Among the 10 patients who underwent quantitative polymerase chain reaction (qPCR) testing, five tested positive for NTM. DISCUSSION: It is important to note that further species typing is necessary to determine the specific NTM type, as traditional pathogen detection methods serve as an initial step. In contrast, when supplemented with pathogen data, enables the identification of specific species, facilitating precise treatment decisions. In conclusion, mNGS demonstrates significant potential in aidingthe diagnosis of NTMdisease by rapidly detecting NTM pathogens and guiding treatment strategies. Its enhanced performance, faster turnaround time (TAT), and species identification capabilities make mNGS a promising tool for managing NTM infections. |
format | Online Article Text |
id | pubmed-10500063 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105000632023-09-15 Metagenomic next-generation sequencing assistance in identifying non-tuberculous mycobacterial infections Wang, Shilei Xing, Lihua Front Cell Infect Microbiol Cellular and Infection Microbiology INTRODUCTION: The advent of metagenomics next-generation sequencing (mNGS) has garnered attention as a novel method for detecting pathogenic infections, including Non-Tuberculous Mycobacterial (NTM) and tuberculosis (TB).However, the robustness and specificity of mNGS in NTM diagnostics have not been fully explored. METHODS: In this retrospective study, we enrolled 27 patients with NTM genomic sequences via mNGS and conducted a comprehensive clinical evaluation. RESULTS: Pulmonary NTM disease was the most commonly observed presentation, with a subset of patients also presenting with extrapulmonary NTM infections.mNGS analysis identified six distinct NTM species, primarily Mycobacteriumavium complex (MAC), followed by Mycobacterium intracellulare andMycobacterium abscessus. Conventional routine culture methods encountered challenges, resulting in negative results for all available 22 samples. Among the 10 patients who underwent quantitative polymerase chain reaction (qPCR) testing, five tested positive for NTM. DISCUSSION: It is important to note that further species typing is necessary to determine the specific NTM type, as traditional pathogen detection methods serve as an initial step. In contrast, when supplemented with pathogen data, enables the identification of specific species, facilitating precise treatment decisions. In conclusion, mNGS demonstrates significant potential in aidingthe diagnosis of NTMdisease by rapidly detecting NTM pathogens and guiding treatment strategies. Its enhanced performance, faster turnaround time (TAT), and species identification capabilities make mNGS a promising tool for managing NTM infections. Frontiers Media S.A. 2023-08-31 /pmc/articles/PMC10500063/ /pubmed/37719673 http://dx.doi.org/10.3389/fcimb.2023.1253020 Text en Copyright © 2023 Wang and Xing 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 Wang, Shilei Xing, Lihua Metagenomic next-generation sequencing assistance in identifying non-tuberculous mycobacterial infections |
title | Metagenomic next-generation sequencing assistance in identifying non-tuberculous mycobacterial infections |
title_full | Metagenomic next-generation sequencing assistance in identifying non-tuberculous mycobacterial infections |
title_fullStr | Metagenomic next-generation sequencing assistance in identifying non-tuberculous mycobacterial infections |
title_full_unstemmed | Metagenomic next-generation sequencing assistance in identifying non-tuberculous mycobacterial infections |
title_short | Metagenomic next-generation sequencing assistance in identifying non-tuberculous mycobacterial infections |
title_sort | metagenomic next-generation sequencing assistance in identifying non-tuberculous mycobacterial infections |
topic | Cellular and Infection Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10500063/ https://www.ncbi.nlm.nih.gov/pubmed/37719673 http://dx.doi.org/10.3389/fcimb.2023.1253020 |
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