利用高丰态gc - rich - repeat序列对伊朗结核分枝杆菌进行分子分型

B. G. Eimani, K. Ansarin, L. Sahebi, M. Seyyedi
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引用次数: 0

摘要

背景:结核病每年新增病例超过1000万例,是全球十大死亡原因之一,仍然是全球最重要的健康问题之一。此外,多重耐药结核病(MDR)对公众健康构成严重威胁。了解结核分枝杆菌(MTB)的流行病学模式,估计近期感染的传播和复发,有可能采用分子分型方法。本研究旨在使用PGRS-RFLP追踪和确定结核分枝杆菌感染的类型及其与人口统计学因素的关系。材料和方法:在本研究中,从伊朗西北省份的结核病患者身上采集了90份样本,通过表征高度丰富的多态性GC重复序列进行分子分型。调查与疾病传播相关的人口统计学因素。结果:所有分离株分为44个类群,28个亚种类型(33.3%)具有独特的菌株,66.7%(来自56例患者)具有集群分离株。包含8个分离株的最大集群(9.52%)是伊朗西部省份。结论:该地区结核分枝杆菌的遗传变异较高。最近基于集群的传播率出乎意料(全球平均水平为30%-40%)。最近的传播在西部比在伊朗西北部更为活跃。基于PGRS-RFLP的聚类可以证明分子信息和经典信息之间的高度相关性。此外,疫苗接种记录和集群之间的显著关系突出了进行更广泛研究的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Molecular Typing of Mycobacterium Tuberculosis Isolated from Iranian Patients Using Highly Abundant Polymorphic GC-Rich-Repetitive Sequence
Background: Tuberculosis (TB) with more than 10 million new cases per year and one of the top 10 causes of death worldwide, is still one of the most important global health problems. Also, multi drug-resistant tuberculosis (MDR) is a serious danger to public health. Understanding of the epidemiological pattern of mycobacterium tuberculosis (MTB), Estimates of recent transmission and recurrence of infection, it is possible with molecular typing methods. The present study was performed aiming to track and determine the type of Mycobacterium tuberculosis infection, as well as its relationship with demographic factors, using PGRS-RFLP. Materials and Methods: In this study, 90 samples collected from TB patients from the North West provinces of Iran, Molecular typing by Characterization highly abundant polymorphic GC-rich-repetitive sequence. Investigated Demographic factors associated with the transmission of the disease. Results: All isolates were grouped into 44 clusters 28types (33.3%) of the subspecies were in unique stains and 66.7% (from 56 patients) had clustered isolates. The largest cluster contained 8 isolates (9.52%) was the West provinces of Iran. Conclusion: Genetic variation of Mycobacterium tuberculosis is high in this region. The rate of recent transmission based on clustering was unexpected (The global average is 30%-40%). The recent transmission was more dynamic in the west than northwest Iran. Clustering based on PGRS-RFLP can demonstrate the high correlation between molecular and classic information. In addition, the significant relationship between vaccination record and clustering highlights the necessity to conduct more extensive studies.
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