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Metagenomic next-generation sequencing provides prognostic warning by identifying mixed infections in nocardiosis

Nocardia is an opportunistic pathogen that mainly involves immunosuppressed patients and causes a high mortality rate. As an emerging approach to detect infectious pathogens, metagenomic next-generation sequencing (mNGS) was reported in the detection of Nocardia. However, there is no evidence demons...

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Autores principales: Jiao, Mengfan, Ma, Xiaoxu, Li, Yaoguang, Wang, Huifen, Liu, Ying, Guo, Wenhu, Lv, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9471186/
https://www.ncbi.nlm.nih.gov/pubmed/36118026
http://dx.doi.org/10.3389/fcimb.2022.894678
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author Jiao, Mengfan
Ma, Xiaoxu
Li, Yaoguang
Wang, Huifen
Liu, Ying
Guo, Wenhu
Lv, Jun
author_facet Jiao, Mengfan
Ma, Xiaoxu
Li, Yaoguang
Wang, Huifen
Liu, Ying
Guo, Wenhu
Lv, Jun
author_sort Jiao, Mengfan
collection PubMed
description Nocardia is an opportunistic pathogen that mainly involves immunosuppressed patients and causes a high mortality rate. As an emerging approach to detect infectious pathogens, metagenomic next-generation sequencing (mNGS) was reported in the detection of Nocardia. However, there is no evidence demonstrating the effect of mNGS on the prognosis of Nocardia infection. In this retrospective study, we included 18 nocardiosis patients. Nocardia species were detected by mNGS from their clinical samples. All the patients were diagnosed with nocardiosis by clinical experts through a comprehensive evaluation. Of these 18 patients, fever is the most frequent initial symptom. Compared to traditional culture methods, mNGS provides a faster turnaround time (TAT) and higher sensitivity. Pulmonary nocardiosis was the most common clinical presentation in the study. mNGS detected 13 types of Nocardia species, of which Nocardia abscessus and Nocardia cyriacigeorgica were the most common species. The study’s most noteworthy discovery is that mNGS outperforms culture at detecting mixed infections (more than one pathogen detected in one clinical specimen, including bacteria, fungi, and excluding virus), and number of infectious species was an independent risk factor for nocardiosis patients’ prognostics after adjusting age, ICU days, gender and underlying diseases (adjusted HR = 1.47, 95% CI: 1.09-1.98, p = 0.011). As a result, we believe that by detecting mixed infections (more than one pathogenic species), mNGS can provide a clinical risk warning for the prognosis of nocardiosis.
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spelling pubmed-94711862022-09-15 Metagenomic next-generation sequencing provides prognostic warning by identifying mixed infections in nocardiosis Jiao, Mengfan Ma, Xiaoxu Li, Yaoguang Wang, Huifen Liu, Ying Guo, Wenhu Lv, Jun Front Cell Infect Microbiol Cellular and Infection Microbiology Nocardia is an opportunistic pathogen that mainly involves immunosuppressed patients and causes a high mortality rate. As an emerging approach to detect infectious pathogens, metagenomic next-generation sequencing (mNGS) was reported in the detection of Nocardia. However, there is no evidence demonstrating the effect of mNGS on the prognosis of Nocardia infection. In this retrospective study, we included 18 nocardiosis patients. Nocardia species were detected by mNGS from their clinical samples. All the patients were diagnosed with nocardiosis by clinical experts through a comprehensive evaluation. Of these 18 patients, fever is the most frequent initial symptom. Compared to traditional culture methods, mNGS provides a faster turnaround time (TAT) and higher sensitivity. Pulmonary nocardiosis was the most common clinical presentation in the study. mNGS detected 13 types of Nocardia species, of which Nocardia abscessus and Nocardia cyriacigeorgica were the most common species. The study’s most noteworthy discovery is that mNGS outperforms culture at detecting mixed infections (more than one pathogen detected in one clinical specimen, including bacteria, fungi, and excluding virus), and number of infectious species was an independent risk factor for nocardiosis patients’ prognostics after adjusting age, ICU days, gender and underlying diseases (adjusted HR = 1.47, 95% CI: 1.09-1.98, p = 0.011). As a result, we believe that by detecting mixed infections (more than one pathogenic species), mNGS can provide a clinical risk warning for the prognosis of nocardiosis. Frontiers Media S.A. 2022-08-31 /pmc/articles/PMC9471186/ /pubmed/36118026 http://dx.doi.org/10.3389/fcimb.2022.894678 Text en Copyright © 2022 Jiao, Ma, Li, Wang, Liu, Guo and Lv 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
Jiao, Mengfan
Ma, Xiaoxu
Li, Yaoguang
Wang, Huifen
Liu, Ying
Guo, Wenhu
Lv, Jun
Metagenomic next-generation sequencing provides prognostic warning by identifying mixed infections in nocardiosis
title Metagenomic next-generation sequencing provides prognostic warning by identifying mixed infections in nocardiosis
title_full Metagenomic next-generation sequencing provides prognostic warning by identifying mixed infections in nocardiosis
title_fullStr Metagenomic next-generation sequencing provides prognostic warning by identifying mixed infections in nocardiosis
title_full_unstemmed Metagenomic next-generation sequencing provides prognostic warning by identifying mixed infections in nocardiosis
title_short Metagenomic next-generation sequencing provides prognostic warning by identifying mixed infections in nocardiosis
title_sort metagenomic next-generation sequencing provides prognostic warning by identifying mixed infections in nocardiosis
topic Cellular and Infection Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9471186/
https://www.ncbi.nlm.nih.gov/pubmed/36118026
http://dx.doi.org/10.3389/fcimb.2022.894678
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