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Transmission of multidrug-resistant tuberculosis in Shimen community in Shanghai, China: a molecular epidemiology study
BACKGROUND: Multidrug-resistant tuberculosis (MDR-TB) has become a major public health problem in China, with mounting evidence suggesting that recent transmission accounts for the majority of MDR-TB. Here we aimed to reveal the transmission pattern of an MDR-TB outbreak in the Jing'an District...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8557015/ https://www.ncbi.nlm.nih.gov/pubmed/34715793 http://dx.doi.org/10.1186/s12879-021-06725-0 |
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author | Han, Zhiying Li, Jing Sun, Guomei Gu, Kaikan Zhang, Yangyi Yao, Hui Jiang, Yuan |
author_facet | Han, Zhiying Li, Jing Sun, Guomei Gu, Kaikan Zhang, Yangyi Yao, Hui Jiang, Yuan |
author_sort | Han, Zhiying |
collection | PubMed |
description | BACKGROUND: Multidrug-resistant tuberculosis (MDR-TB) has become a major public health problem in China, with mounting evidence suggesting that recent transmission accounts for the majority of MDR-TB. Here we aimed to reveal the transmission pattern of an MDR-TB outbreak in the Jing'an District of Shanghai between 2010 and 2015. METHODS: We used whole-genome sequencing (WGS) to conduct genomic clustering analysis along with field epidemiological investigation to determine the transmission pattern and drug resistance profile of a cluster with ten MDR-TB patients in combining field epidemiological investigation. RESULTS: The ten MDR-TB patients with genotypically clustered Beijing lineage strains lived in a densely populated, old alley with direct or indirect contact history. The analysis of genomic data showed that the genetic distances of the ten strains (excluding drug-resistant mutations) were 0–20 single nucleotide polymorphisms (SNPs), with an average distance of 9 SNPs, suggesting that the ten MDR-TB patients were infected and developed the onset of illness by the recent transmission of M. tuberculosis. The genetic analysis confirmed definite epidemiological links between the clustered cases. CONCLUSIONS: The integration of the genotyping tool in routine tuberculosis surveillance can play a substantial role in the detection of MDR-TB transmission events. The leverage of genomic analysis in combination with the epidemiological investigation could further elucidate transmission patterns. Whole-genome sequencing could be integrated into intensive case-finding strategies to identify missed cases of MDR-TB and strengthen efforts to interrupt transmission. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-021-06725-0. |
format | Online Article Text |
id | pubmed-8557015 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85570152021-11-01 Transmission of multidrug-resistant tuberculosis in Shimen community in Shanghai, China: a molecular epidemiology study Han, Zhiying Li, Jing Sun, Guomei Gu, Kaikan Zhang, Yangyi Yao, Hui Jiang, Yuan BMC Infect Dis Research BACKGROUND: Multidrug-resistant tuberculosis (MDR-TB) has become a major public health problem in China, with mounting evidence suggesting that recent transmission accounts for the majority of MDR-TB. Here we aimed to reveal the transmission pattern of an MDR-TB outbreak in the Jing'an District of Shanghai between 2010 and 2015. METHODS: We used whole-genome sequencing (WGS) to conduct genomic clustering analysis along with field epidemiological investigation to determine the transmission pattern and drug resistance profile of a cluster with ten MDR-TB patients in combining field epidemiological investigation. RESULTS: The ten MDR-TB patients with genotypically clustered Beijing lineage strains lived in a densely populated, old alley with direct or indirect contact history. The analysis of genomic data showed that the genetic distances of the ten strains (excluding drug-resistant mutations) were 0–20 single nucleotide polymorphisms (SNPs), with an average distance of 9 SNPs, suggesting that the ten MDR-TB patients were infected and developed the onset of illness by the recent transmission of M. tuberculosis. The genetic analysis confirmed definite epidemiological links between the clustered cases. CONCLUSIONS: The integration of the genotyping tool in routine tuberculosis surveillance can play a substantial role in the detection of MDR-TB transmission events. The leverage of genomic analysis in combination with the epidemiological investigation could further elucidate transmission patterns. Whole-genome sequencing could be integrated into intensive case-finding strategies to identify missed cases of MDR-TB and strengthen efforts to interrupt transmission. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-021-06725-0. BioMed Central 2021-10-29 /pmc/articles/PMC8557015/ /pubmed/34715793 http://dx.doi.org/10.1186/s12879-021-06725-0 Text en © The Author(s) 2021 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 | Research Han, Zhiying Li, Jing Sun, Guomei Gu, Kaikan Zhang, Yangyi Yao, Hui Jiang, Yuan Transmission of multidrug-resistant tuberculosis in Shimen community in Shanghai, China: a molecular epidemiology study |
title | Transmission of multidrug-resistant tuberculosis in Shimen community in Shanghai, China: a molecular epidemiology study |
title_full | Transmission of multidrug-resistant tuberculosis in Shimen community in Shanghai, China: a molecular epidemiology study |
title_fullStr | Transmission of multidrug-resistant tuberculosis in Shimen community in Shanghai, China: a molecular epidemiology study |
title_full_unstemmed | Transmission of multidrug-resistant tuberculosis in Shimen community in Shanghai, China: a molecular epidemiology study |
title_short | Transmission of multidrug-resistant tuberculosis in Shimen community in Shanghai, China: a molecular epidemiology study |
title_sort | transmission of multidrug-resistant tuberculosis in shimen community in shanghai, china: a molecular epidemiology study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8557015/ https://www.ncbi.nlm.nih.gov/pubmed/34715793 http://dx.doi.org/10.1186/s12879-021-06725-0 |
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