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Metagenomic next-generation sequencing contributes to the diagnosis of mixed pulmonary infection: a case report
BACKGROUND: Pulmonary cryptococcosis (PC) and mixed pulmonary infection are difficult to be diagnosed due to the non-specificity and their overlapping clinical manifestations. In terms of the clinical diagnosis of PC and mixed pulmonary infection, conventional tests have limitations such as a long d...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9701064/ https://www.ncbi.nlm.nih.gov/pubmed/36434704 http://dx.doi.org/10.1186/s12941-022-00545-z |
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author | Qin, Ziqian Zou, Yiwu Huang, Zehe Yu, Ning Deng, Zhenfeng Chen, Zhencheng Wang, Yuanli |
author_facet | Qin, Ziqian Zou, Yiwu Huang, Zehe Yu, Ning Deng, Zhenfeng Chen, Zhencheng Wang, Yuanli |
author_sort | Qin, Ziqian |
collection | PubMed |
description | BACKGROUND: Pulmonary cryptococcosis (PC) and mixed pulmonary infection are difficult to be diagnosed due to the non-specificity and their overlapping clinical manifestations. In terms of the clinical diagnosis of PC and mixed pulmonary infection, conventional tests have limitations such as a long detection period, a limited range of pathogens, and low sensitivity. Metagenomics next-generation sequencing (mNGS) is a nascent and powerful method that can detect pathogens without culture, to diagnose known and unexplained infections in reduced time. CASE PRESENTATION: A 43-year-old female was admitted to the hospital after suffering from a cough for one month. At the time of admission, a contrast-enhanced chest CT revealed multiple nodules and plaques in her right lung, as well as the formation of cavities. The blood routine assays showed evidently increased white blood cell count (mainly neutrophils), CRP, and ESR, which suggested she was in the infection phase. The serum CrAg-LFA test showed a positive result. Initially, she was diagnosed with an unexplained pulmonary infection. Bronchoalveolar lavage fluid (BALF) samples were collected for microbial culture, immunological tests and the mNGS. Microbial culture and immunological tests were all negative, while mNGS detected Corynebacterium striatum, Pseudomonas aeruginosa, Streptococcus pneumoniae, and Cryptococcus neoformans. The diagnosis was revised to PC and bacterial pneumonia. Lung infection lesions were healed after she received targeted anti-infection therapy with mezlocillin and fluconazole. In a follow-up after 2 months, the patient’s symptoms vanished. CONCLUSIONS: Here, we demonstrated that mNGS was capable of accurately distinguishing Cryptococcus from M. tuberculosis in pulmonary infection, and notably mNGS was capable of swiftly and precisely detecting pathogens in mixed bacterial and fungal pulmonary infection. Furthermore, the results of mNGS also have the potential to adjust anti-infective therapies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12941-022-00545-z. |
format | Online Article Text |
id | pubmed-9701064 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-97010642022-11-27 Metagenomic next-generation sequencing contributes to the diagnosis of mixed pulmonary infection: a case report Qin, Ziqian Zou, Yiwu Huang, Zehe Yu, Ning Deng, Zhenfeng Chen, Zhencheng Wang, Yuanli Ann Clin Microbiol Antimicrob Case Report BACKGROUND: Pulmonary cryptococcosis (PC) and mixed pulmonary infection are difficult to be diagnosed due to the non-specificity and their overlapping clinical manifestations. In terms of the clinical diagnosis of PC and mixed pulmonary infection, conventional tests have limitations such as a long detection period, a limited range of pathogens, and low sensitivity. Metagenomics next-generation sequencing (mNGS) is a nascent and powerful method that can detect pathogens without culture, to diagnose known and unexplained infections in reduced time. CASE PRESENTATION: A 43-year-old female was admitted to the hospital after suffering from a cough for one month. At the time of admission, a contrast-enhanced chest CT revealed multiple nodules and plaques in her right lung, as well as the formation of cavities. The blood routine assays showed evidently increased white blood cell count (mainly neutrophils), CRP, and ESR, which suggested she was in the infection phase. The serum CrAg-LFA test showed a positive result. Initially, she was diagnosed with an unexplained pulmonary infection. Bronchoalveolar lavage fluid (BALF) samples were collected for microbial culture, immunological tests and the mNGS. Microbial culture and immunological tests were all negative, while mNGS detected Corynebacterium striatum, Pseudomonas aeruginosa, Streptococcus pneumoniae, and Cryptococcus neoformans. The diagnosis was revised to PC and bacterial pneumonia. Lung infection lesions were healed after she received targeted anti-infection therapy with mezlocillin and fluconazole. In a follow-up after 2 months, the patient’s symptoms vanished. CONCLUSIONS: Here, we demonstrated that mNGS was capable of accurately distinguishing Cryptococcus from M. tuberculosis in pulmonary infection, and notably mNGS was capable of swiftly and precisely detecting pathogens in mixed bacterial and fungal pulmonary infection. Furthermore, the results of mNGS also have the potential to adjust anti-infective therapies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12941-022-00545-z. BioMed Central 2022-11-24 /pmc/articles/PMC9701064/ /pubmed/36434704 http://dx.doi.org/10.1186/s12941-022-00545-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Case Report Qin, Ziqian Zou, Yiwu Huang, Zehe Yu, Ning Deng, Zhenfeng Chen, Zhencheng Wang, Yuanli Metagenomic next-generation sequencing contributes to the diagnosis of mixed pulmonary infection: a case report |
title | Metagenomic next-generation sequencing contributes to the diagnosis of mixed pulmonary infection: a case report |
title_full | Metagenomic next-generation sequencing contributes to the diagnosis of mixed pulmonary infection: a case report |
title_fullStr | Metagenomic next-generation sequencing contributes to the diagnosis of mixed pulmonary infection: a case report |
title_full_unstemmed | Metagenomic next-generation sequencing contributes to the diagnosis of mixed pulmonary infection: a case report |
title_short | Metagenomic next-generation sequencing contributes to the diagnosis of mixed pulmonary infection: a case report |
title_sort | metagenomic next-generation sequencing contributes to the diagnosis of mixed pulmonary infection: a case report |
topic | Case Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9701064/ https://www.ncbi.nlm.nih.gov/pubmed/36434704 http://dx.doi.org/10.1186/s12941-022-00545-z |
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