A First Insight into the Genetic Diversity and Drug Susceptibility Pattern of Mycobacterium tuberculosis Complex in Zhejiang, China

In this study, our aim was to determine the predominant genotypes among the Mycobacterium tuberculosis (MTB) strains circulating in Zhejiang Province. In addition, we also sought to determine the potential associations between MTB genotypes and susceptibility to first-line drugs. Out of these isolat...

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Main Authors: Zhengwei Liu, Yu Pang, Songhua Chen, Beibei Wu, Haibo He, Aizhen Pan, Xiaomeng Wang
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:BioMed Research International
Online Access:http://dx.doi.org/10.1155/2016/8937539
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spelling doaj-8cf2aa8d267844e18ce0da8b19ccbdcc2020-11-24T23:22:20ZengHindawi LimitedBioMed Research International2314-61332314-61412016-01-01201610.1155/2016/89375398937539A First Insight into the Genetic Diversity and Drug Susceptibility Pattern of Mycobacterium tuberculosis Complex in Zhejiang, ChinaZhengwei Liu0Yu Pang1Songhua Chen2Beibei Wu3Haibo He4Aizhen Pan5Xiaomeng Wang6The Institute of TB Control, Zhejiang Provincial Center for Disease Control and Prevention, Zhejiang, ChinaNational Center for TB Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, ChinaThe Institute of TB Control, Zhejiang Provincial Center for Disease Control and Prevention, Zhejiang, ChinaThe Institute of TB Control, Zhejiang Provincial Center for Disease Control and Prevention, Zhejiang, ChinaThe Institute of TB Control, Zhejiang Provincial Center for Disease Control and Prevention, Zhejiang, ChinaThe Institute of TB Control, Zhejiang Provincial Center for Disease Control and Prevention, Zhejiang, ChinaThe Institute of TB Control, Zhejiang Provincial Center for Disease Control and Prevention, Zhejiang, ChinaIn this study, our aim was to determine the predominant genotypes among the Mycobacterium tuberculosis (MTB) strains circulating in Zhejiang Province. In addition, we also sought to determine the potential associations between MTB genotypes and susceptibility to first-line drugs. Out of these isolates, 673 (71.6%) were classified into the Beijing genotype, while the other 267 (28.4%) were from non-Beijing families. The highest proportion of Beijing genotype was found in Huzhou (80.0%) and the lowest in Lishui (48.3%). Statistical analysis revealed that there was a significant difference in the prevalence of Beijing genotype among different regions (χ2 = 17.57, P = 0.04). In addition, the overall proportions of drug resistance to INH, RIF, SM, and EMB were 13.2% (124/940), 21.8% (75/940), 3.4% (32/940), and 5.9% (55/940) in Zhejiang, respectively. Further comparison revealed that there was no significant difference in drug susceptibility profiles between Beijing and non-Beijing strains (P > 0.05). In conclusion, we describe the genetic diversity and drug susceptibility pattern of MTB in Zhejiang for the first time. Our data demonstrate that Beijing genotype is the predominant lineage in Zhejiang, while the distribution of Beijing-genotype strains shows geographic diversity. In addition, no correlation is observed between Beijing genotype and anti-TB drug resistance.http://dx.doi.org/10.1155/2016/8937539
collection DOAJ
language English
format Article
sources DOAJ
author Zhengwei Liu
Yu Pang
Songhua Chen
Beibei Wu
Haibo He
Aizhen Pan
Xiaomeng Wang
spellingShingle Zhengwei Liu
Yu Pang
Songhua Chen
Beibei Wu
Haibo He
Aizhen Pan
Xiaomeng Wang
A First Insight into the Genetic Diversity and Drug Susceptibility Pattern of Mycobacterium tuberculosis Complex in Zhejiang, China
BioMed Research International
author_facet Zhengwei Liu
Yu Pang
Songhua Chen
Beibei Wu
Haibo He
Aizhen Pan
Xiaomeng Wang
author_sort Zhengwei Liu
title A First Insight into the Genetic Diversity and Drug Susceptibility Pattern of Mycobacterium tuberculosis Complex in Zhejiang, China
title_short A First Insight into the Genetic Diversity and Drug Susceptibility Pattern of Mycobacterium tuberculosis Complex in Zhejiang, China
title_full A First Insight into the Genetic Diversity and Drug Susceptibility Pattern of Mycobacterium tuberculosis Complex in Zhejiang, China
title_fullStr A First Insight into the Genetic Diversity and Drug Susceptibility Pattern of Mycobacterium tuberculosis Complex in Zhejiang, China
title_full_unstemmed A First Insight into the Genetic Diversity and Drug Susceptibility Pattern of Mycobacterium tuberculosis Complex in Zhejiang, China
title_sort first insight into the genetic diversity and drug susceptibility pattern of mycobacterium tuberculosis complex in zhejiang, china
publisher Hindawi Limited
series BioMed Research International
issn 2314-6133
2314-6141
publishDate 2016-01-01
description In this study, our aim was to determine the predominant genotypes among the Mycobacterium tuberculosis (MTB) strains circulating in Zhejiang Province. In addition, we also sought to determine the potential associations between MTB genotypes and susceptibility to first-line drugs. Out of these isolates, 673 (71.6%) were classified into the Beijing genotype, while the other 267 (28.4%) were from non-Beijing families. The highest proportion of Beijing genotype was found in Huzhou (80.0%) and the lowest in Lishui (48.3%). Statistical analysis revealed that there was a significant difference in the prevalence of Beijing genotype among different regions (χ2 = 17.57, P = 0.04). In addition, the overall proportions of drug resistance to INH, RIF, SM, and EMB were 13.2% (124/940), 21.8% (75/940), 3.4% (32/940), and 5.9% (55/940) in Zhejiang, respectively. Further comparison revealed that there was no significant difference in drug susceptibility profiles between Beijing and non-Beijing strains (P > 0.05). In conclusion, we describe the genetic diversity and drug susceptibility pattern of MTB in Zhejiang for the first time. Our data demonstrate that Beijing genotype is the predominant lineage in Zhejiang, while the distribution of Beijing-genotype strains shows geographic diversity. In addition, no correlation is observed between Beijing genotype and anti-TB drug resistance.
url http://dx.doi.org/10.1155/2016/8937539
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