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Detection of non-tuberculosus mycobacteria (NTMs) in lung samples using 16S rRNA
BACKGROUND: Non-tuberculous mycobacteria (NTMs) cause diseases known as mycobacteriosis and are an important cause of morbidity and mortality. The diagnosis of pulmonary disease caused by NTM is hampered by its clinical similarity with tuberculosis (TB) and by the lack of an accurate and rapid labor...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Instituto Oswaldo Cruz, Ministério da Saúde
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9337835/ https://www.ncbi.nlm.nih.gov/pubmed/35920498 http://dx.doi.org/10.1590/0074-02760220031 |
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author | Morais, Franciele Costa Leite Bello, Graziele Lima Costi, Cíntia Schmid, Karen Barros Soares, Tainá dos Santos Barcellos, Regina Bones Unis, Gisela Dias, Claudia Fontoura da Silva, Pedro Eduardo Almeida Rossetti, Maria Lucia |
author_facet | Morais, Franciele Costa Leite Bello, Graziele Lima Costi, Cíntia Schmid, Karen Barros Soares, Tainá dos Santos Barcellos, Regina Bones Unis, Gisela Dias, Claudia Fontoura da Silva, Pedro Eduardo Almeida Rossetti, Maria Lucia |
author_sort | Morais, Franciele Costa Leite |
collection | PubMed |
description | BACKGROUND: Non-tuberculous mycobacteria (NTMs) cause diseases known as mycobacteriosis and are an important cause of morbidity and mortality. The diagnosis of pulmonary disease caused by NTM is hampered by its clinical similarity with tuberculosis (TB) and by the lack of an accurate and rapid laboratory diagnosis. OBJECTIVES: Detect DNA from NTMs directly from lung samples using real-time polymerase chain reaction (qPCR) for amplification of 16S rRNA. Additionally, DNA sequencing (hsp65 and rpoB genes) was used to identify the species of MNTs. METHODS: A total of 68 sputum samples (54 with suspected NTMs and 14 with TB) from patients treated at a referral hospital were used. FINDINGS: Of these, 27/54 (50%) were qPCR positive for NTMs and 14/14 TB patients (controls) were qPCR negative with an almost perfect concordance (Kappa of 0.93) with the Mycobacterium spp. culture. Sequencing confirmed the presence of NTM in all positive samples. The most common species was Mycobacterium gordonae (33%), followed by Mycobacterium abscessus (26%), Mycobacterium fortuitum (22%), Mycobacterium avium (15%) and Mycobacterium peregrinum (4%). MAIN CONCLUSIONS: The qPCR technique for detecting NTMs targeting 16S rRNA has the potential to detect NTMs and rapidly differentiate from Mycobacterium tuberculosis. However, it is necessary to identify the species to help in the differential diagnosis between disease and contamination, and to guide the choice of the therapeutic scheme. |
format | Online Article Text |
id | pubmed-9337835 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Instituto Oswaldo Cruz, Ministério da Saúde |
record_format | MEDLINE/PubMed |
spelling | pubmed-93378352022-08-09 Detection of non-tuberculosus mycobacteria (NTMs) in lung samples using 16S rRNA Morais, Franciele Costa Leite Bello, Graziele Lima Costi, Cíntia Schmid, Karen Barros Soares, Tainá dos Santos Barcellos, Regina Bones Unis, Gisela Dias, Claudia Fontoura da Silva, Pedro Eduardo Almeida Rossetti, Maria Lucia Mem Inst Oswaldo Cruz Research Article BACKGROUND: Non-tuberculous mycobacteria (NTMs) cause diseases known as mycobacteriosis and are an important cause of morbidity and mortality. The diagnosis of pulmonary disease caused by NTM is hampered by its clinical similarity with tuberculosis (TB) and by the lack of an accurate and rapid laboratory diagnosis. OBJECTIVES: Detect DNA from NTMs directly from lung samples using real-time polymerase chain reaction (qPCR) for amplification of 16S rRNA. Additionally, DNA sequencing (hsp65 and rpoB genes) was used to identify the species of MNTs. METHODS: A total of 68 sputum samples (54 with suspected NTMs and 14 with TB) from patients treated at a referral hospital were used. FINDINGS: Of these, 27/54 (50%) were qPCR positive for NTMs and 14/14 TB patients (controls) were qPCR negative with an almost perfect concordance (Kappa of 0.93) with the Mycobacterium spp. culture. Sequencing confirmed the presence of NTM in all positive samples. The most common species was Mycobacterium gordonae (33%), followed by Mycobacterium abscessus (26%), Mycobacterium fortuitum (22%), Mycobacterium avium (15%) and Mycobacterium peregrinum (4%). MAIN CONCLUSIONS: The qPCR technique for detecting NTMs targeting 16S rRNA has the potential to detect NTMs and rapidly differentiate from Mycobacterium tuberculosis. However, it is necessary to identify the species to help in the differential diagnosis between disease and contamination, and to guide the choice of the therapeutic scheme. Instituto Oswaldo Cruz, Ministério da Saúde 2022-07-29 /pmc/articles/PMC9337835/ /pubmed/35920498 http://dx.doi.org/10.1590/0074-02760220031 Text en https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License |
spellingShingle | Research Article Morais, Franciele Costa Leite Bello, Graziele Lima Costi, Cíntia Schmid, Karen Barros Soares, Tainá dos Santos Barcellos, Regina Bones Unis, Gisela Dias, Claudia Fontoura da Silva, Pedro Eduardo Almeida Rossetti, Maria Lucia Detection of non-tuberculosus mycobacteria (NTMs) in lung samples using 16S rRNA |
title | Detection of non-tuberculosus mycobacteria (NTMs) in lung samples
using 16S rRNA |
title_full | Detection of non-tuberculosus mycobacteria (NTMs) in lung samples
using 16S rRNA |
title_fullStr | Detection of non-tuberculosus mycobacteria (NTMs) in lung samples
using 16S rRNA |
title_full_unstemmed | Detection of non-tuberculosus mycobacteria (NTMs) in lung samples
using 16S rRNA |
title_short | Detection of non-tuberculosus mycobacteria (NTMs) in lung samples
using 16S rRNA |
title_sort | detection of non-tuberculosus mycobacteria (ntms) in lung samples
using 16s rrna |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9337835/ https://www.ncbi.nlm.nih.gov/pubmed/35920498 http://dx.doi.org/10.1590/0074-02760220031 |
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