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Recent Transmission and Prevalent Characterization of the Beijing Family Mycobacterium Tuberculosis in Jiangxi, China
The Beijing genotype is the most common type of tuberculosis in Jiangxi Province, China. The association of population characteristics and their prevalence in the development of recent transmission is still unclear. 1,433 isolates were subjected to drug-resistant tests and MIRU-VNTR analysis. We com...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Sciendo
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9608159/ https://www.ncbi.nlm.nih.gov/pubmed/36185019 http://dx.doi.org/10.33073/pjm-2022-033 |
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author | Luo, Dong Yu, Shengming Huang, Yuyang Zhan, Jiahuan Chen, Qiang Yan, Liang Chen, Kaisen |
author_facet | Luo, Dong Yu, Shengming Huang, Yuyang Zhan, Jiahuan Chen, Qiang Yan, Liang Chen, Kaisen |
author_sort | Luo, Dong |
collection | PubMed |
description | The Beijing genotype is the most common type of tuberculosis in Jiangxi Province, China. The association of population characteristics and their prevalence in the development of recent transmission is still unclear. 1,433 isolates were subjected to drug-resistant tests and MIRU-VNTR analysis. We compared differences in demographic characteristics and drug resistance patterns between the Beijing and non-Beijing family strains. We also explored the association of the clustering rate with the Beijing genotype of Mycobacterium tuberculosis. The Beijing genotype was dominant (78.16%). The results of MIRU-VNTR showed that 775 of 1,433 strains have unique patterns, and the remaining gather into 103 clusters. A recent transmission rate was 31.54% (452/1,433). The Beijing genotype strains were more likely to spread among the recurrent population (p = 0.004), people less than 50 years of age (p = 0.02 or 0.003), and the personnel in the northern regions (p = 0.03). Drug resistance patterns did not show significant differences between Beijing and non-Beijing genotype isolates. Furthermore, we found that HIV-positive cases had a lower clustering rate (p = 0.001). Our results indicated that the recurrent population and people under 50 years of age were more likely to be infected with the Beijing genotype of M. tuberculosis. The strains from the Beijing family were easier to cluster compared to strains isolated from the non-Beijing family. Social activity and AIDS substantially impacted the clustering rate of the Beijing genotype of M. tuberculosis. Multidrug resistant M. tuberculosis affected Beijing genotype transmission. |
format | Online Article Text |
id | pubmed-9608159 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Sciendo |
record_format | MEDLINE/PubMed |
spelling | pubmed-96081592022-11-14 Recent Transmission and Prevalent Characterization of the Beijing Family Mycobacterium Tuberculosis in Jiangxi, China Luo, Dong Yu, Shengming Huang, Yuyang Zhan, Jiahuan Chen, Qiang Yan, Liang Chen, Kaisen Pol J Microbiol Original Paper The Beijing genotype is the most common type of tuberculosis in Jiangxi Province, China. The association of population characteristics and their prevalence in the development of recent transmission is still unclear. 1,433 isolates were subjected to drug-resistant tests and MIRU-VNTR analysis. We compared differences in demographic characteristics and drug resistance patterns between the Beijing and non-Beijing family strains. We also explored the association of the clustering rate with the Beijing genotype of Mycobacterium tuberculosis. The Beijing genotype was dominant (78.16%). The results of MIRU-VNTR showed that 775 of 1,433 strains have unique patterns, and the remaining gather into 103 clusters. A recent transmission rate was 31.54% (452/1,433). The Beijing genotype strains were more likely to spread among the recurrent population (p = 0.004), people less than 50 years of age (p = 0.02 or 0.003), and the personnel in the northern regions (p = 0.03). Drug resistance patterns did not show significant differences between Beijing and non-Beijing genotype isolates. Furthermore, we found that HIV-positive cases had a lower clustering rate (p = 0.001). Our results indicated that the recurrent population and people under 50 years of age were more likely to be infected with the Beijing genotype of M. tuberculosis. The strains from the Beijing family were easier to cluster compared to strains isolated from the non-Beijing family. Social activity and AIDS substantially impacted the clustering rate of the Beijing genotype of M. tuberculosis. Multidrug resistant M. tuberculosis affected Beijing genotype transmission. Sciendo 2022-09-24 /pmc/articles/PMC9608159/ /pubmed/36185019 http://dx.doi.org/10.33073/pjm-2022-033 Text en © 2022 Dong Luo et al., published by Sciendo https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. |
spellingShingle | Original Paper Luo, Dong Yu, Shengming Huang, Yuyang Zhan, Jiahuan Chen, Qiang Yan, Liang Chen, Kaisen Recent Transmission and Prevalent Characterization of the Beijing Family Mycobacterium Tuberculosis in Jiangxi, China |
title | Recent Transmission and Prevalent Characterization of the Beijing Family Mycobacterium Tuberculosis in Jiangxi, China |
title_full | Recent Transmission and Prevalent Characterization of the Beijing Family Mycobacterium Tuberculosis in Jiangxi, China |
title_fullStr | Recent Transmission and Prevalent Characterization of the Beijing Family Mycobacterium Tuberculosis in Jiangxi, China |
title_full_unstemmed | Recent Transmission and Prevalent Characterization of the Beijing Family Mycobacterium Tuberculosis in Jiangxi, China |
title_short | Recent Transmission and Prevalent Characterization of the Beijing Family Mycobacterium Tuberculosis in Jiangxi, China |
title_sort | recent transmission and prevalent characterization of the beijing family mycobacterium tuberculosis in jiangxi, china |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9608159/ https://www.ncbi.nlm.nih.gov/pubmed/36185019 http://dx.doi.org/10.33073/pjm-2022-033 |
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