Identification and characterization of nontuberculous mycobacteria isolated from suspected pulmonary tuberculosis patients in eastern china from 2009 to 2019 using an identification array system
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Journal of Infectious Diseases |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-86702022000200200 |
Resumo: | Abstract Objective Nontuberculous mycobacteria (NTM) species are increasingly being isolated and have become a key factor affecting public health by causing pulmonary diseases. Most NTM species do not respond to conventional tuberculosis (TB) drugs. This study aimed to identify NTM isolated from suspected pulmonary TB patients from the Zhejiang province and analyze their distribution in the region. Methods A total of 1,113 NTM isolates from patients suspected to be suffering from acid-fast bacilli-positive tuberculosis were identified at the species level, using the CapitalBio Mycobacterium identification array and polymerase chain reaction amplification and sequencing of 16S-23S gene internal transcribed spacer (ITS), 16S rRNA, and hsp65. Results Of the 23,138 isolates, we identified 1,102 NTM (4.8%), mainly including Mycobacterium intracellulare (54.81%, 604/1,102), M. chelonae-M. abscessus (16.52%, 182/1,102), M. avium (13.16%, 145/1,102), M. kansasii (8.17%, 90/1,102), and M. gordonae (3.27%, 36/1,102). Conclusion The distribution of NTM species observed in patients with suspected pulmonary tuberculosis provides guidance for the diagnosis and treatment of NTM pulmonary diseases. |
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Identification and characterization of nontuberculous mycobacteria isolated from suspected pulmonary tuberculosis patients in eastern china from 2009 to 2019 using an identification array systemIdentificationNontuberculous mycobacteriaPulmonary tuberculosisNTM pulmonary diseasesAbstract Objective Nontuberculous mycobacteria (NTM) species are increasingly being isolated and have become a key factor affecting public health by causing pulmonary diseases. Most NTM species do not respond to conventional tuberculosis (TB) drugs. This study aimed to identify NTM isolated from suspected pulmonary TB patients from the Zhejiang province and analyze their distribution in the region. Methods A total of 1,113 NTM isolates from patients suspected to be suffering from acid-fast bacilli-positive tuberculosis were identified at the species level, using the CapitalBio Mycobacterium identification array and polymerase chain reaction amplification and sequencing of 16S-23S gene internal transcribed spacer (ITS), 16S rRNA, and hsp65. Results Of the 23,138 isolates, we identified 1,102 NTM (4.8%), mainly including Mycobacterium intracellulare (54.81%, 604/1,102), M. chelonae-M. abscessus (16.52%, 182/1,102), M. avium (13.16%, 145/1,102), M. kansasii (8.17%, 90/1,102), and M. gordonae (3.27%, 36/1,102). Conclusion The distribution of NTM species observed in patients with suspected pulmonary tuberculosis provides guidance for the diagnosis and treatment of NTM pulmonary diseases.Brazilian Society of Infectious Diseases2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-86702022000200200Brazilian Journal of Infectious Diseases v.26 n.2 2022reponame:Brazilian Journal of Infectious Diseasesinstname:Brazilian Society of Infectious Diseases (BSID)instacron:BSID10.1016/j.bjid.2022.102346info:eu-repo/semantics/openAccessZhu,YeleiHua,WenyaLiu,ZhengweiZhang,MingwuWang,XiaomengWu,BeibeiWang,ZhenChen,Jiazheneng2022-06-07T00:00:00Zoai:scielo:S1413-86702022000200200Revistahttps://www.bjid.org.br/https://old.scielo.br/oai/scielo-oai.phpbjid@bjid.org.br||lgoldani@ufrgs.br1678-43911413-8670opendoar:2022-06-07T00:00Brazilian Journal of Infectious Diseases - Brazilian Society of Infectious Diseases (BSID)false |
dc.title.none.fl_str_mv |
Identification and characterization of nontuberculous mycobacteria isolated from suspected pulmonary tuberculosis patients in eastern china from 2009 to 2019 using an identification array system |
title |
Identification and characterization of nontuberculous mycobacteria isolated from suspected pulmonary tuberculosis patients in eastern china from 2009 to 2019 using an identification array system |
spellingShingle |
Identification and characterization of nontuberculous mycobacteria isolated from suspected pulmonary tuberculosis patients in eastern china from 2009 to 2019 using an identification array system Zhu,Yelei Identification Nontuberculous mycobacteria Pulmonary tuberculosis NTM pulmonary diseases |
title_short |
Identification and characterization of nontuberculous mycobacteria isolated from suspected pulmonary tuberculosis patients in eastern china from 2009 to 2019 using an identification array system |
title_full |
Identification and characterization of nontuberculous mycobacteria isolated from suspected pulmonary tuberculosis patients in eastern china from 2009 to 2019 using an identification array system |
title_fullStr |
Identification and characterization of nontuberculous mycobacteria isolated from suspected pulmonary tuberculosis patients in eastern china from 2009 to 2019 using an identification array system |
title_full_unstemmed |
Identification and characterization of nontuberculous mycobacteria isolated from suspected pulmonary tuberculosis patients in eastern china from 2009 to 2019 using an identification array system |
title_sort |
Identification and characterization of nontuberculous mycobacteria isolated from suspected pulmonary tuberculosis patients in eastern china from 2009 to 2019 using an identification array system |
author |
Zhu,Yelei |
author_facet |
Zhu,Yelei Hua,Wenya Liu,Zhengwei Zhang,Mingwu Wang,Xiaomeng Wu,Beibei Wang,Zhen Chen,Jiazhen |
author_role |
author |
author2 |
Hua,Wenya Liu,Zhengwei Zhang,Mingwu Wang,Xiaomeng Wu,Beibei Wang,Zhen Chen,Jiazhen |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Zhu,Yelei Hua,Wenya Liu,Zhengwei Zhang,Mingwu Wang,Xiaomeng Wu,Beibei Wang,Zhen Chen,Jiazhen |
dc.subject.por.fl_str_mv |
Identification Nontuberculous mycobacteria Pulmonary tuberculosis NTM pulmonary diseases |
topic |
Identification Nontuberculous mycobacteria Pulmonary tuberculosis NTM pulmonary diseases |
description |
Abstract Objective Nontuberculous mycobacteria (NTM) species are increasingly being isolated and have become a key factor affecting public health by causing pulmonary diseases. Most NTM species do not respond to conventional tuberculosis (TB) drugs. This study aimed to identify NTM isolated from suspected pulmonary TB patients from the Zhejiang province and analyze their distribution in the region. Methods A total of 1,113 NTM isolates from patients suspected to be suffering from acid-fast bacilli-positive tuberculosis were identified at the species level, using the CapitalBio Mycobacterium identification array and polymerase chain reaction amplification and sequencing of 16S-23S gene internal transcribed spacer (ITS), 16S rRNA, and hsp65. Results Of the 23,138 isolates, we identified 1,102 NTM (4.8%), mainly including Mycobacterium intracellulare (54.81%, 604/1,102), M. chelonae-M. abscessus (16.52%, 182/1,102), M. avium (13.16%, 145/1,102), M. kansasii (8.17%, 90/1,102), and M. gordonae (3.27%, 36/1,102). Conclusion The distribution of NTM species observed in patients with suspected pulmonary tuberculosis provides guidance for the diagnosis and treatment of NTM pulmonary diseases. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-86702022000200200 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-86702022000200200 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1016/j.bjid.2022.102346 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Brazilian Society of Infectious Diseases |
publisher.none.fl_str_mv |
Brazilian Society of Infectious Diseases |
dc.source.none.fl_str_mv |
Brazilian Journal of Infectious Diseases v.26 n.2 2022 reponame:Brazilian Journal of Infectious Diseases instname:Brazilian Society of Infectious Diseases (BSID) instacron:BSID |
instname_str |
Brazilian Society of Infectious Diseases (BSID) |
instacron_str |
BSID |
institution |
BSID |
reponame_str |
Brazilian Journal of Infectious Diseases |
collection |
Brazilian Journal of Infectious Diseases |
repository.name.fl_str_mv |
Brazilian Journal of Infectious Diseases - Brazilian Society of Infectious Diseases (BSID) |
repository.mail.fl_str_mv |
bjid@bjid.org.br||lgoldani@ufrgs.br |
_version_ |
1754209245420584960 |