Department of Biochemical Science and Technology, National Chiayi University, Chiai-Yi, Taiwan.
National Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Zhunan, Miaoli, Taiwan.
Sci Rep. 2017 Jul 14;7(1):5394. doi: 10.1038/s41598-017-05674-6.
In total, 303 randomly selected clinical Mycobacterium tuberculosis (MTB) isolates from 303 patients (collected January to December 2012) in central Taiwan were examined. The major lineages found were Beijing (N = 114, 37.62%), Haarlem (N = 76, 25.08%) and East African-Indian (EAI) (N = 42, 13.86%). Notably, younger persons (≤30 years old) were 6.58 times more likely to be infected with a Beijing genotype compared to older persons (>70 years) (p < 0.05). Combining molecular typing methods and geographical information system (GIS) analysis, we uncovered a twofold higher incidence of Beijing strains in a hotspot area (33%) compared to non-hotspot areas (17%). By 24 MIRU-VNTR typing, persons in clustered groups were 1.96 times more likely to be infected with a Beijing strain compared with non-clustered persons, suggesting recent spread and emergence of MTB. Finally, we observed a trend in which TB incidence increased as the density/concentration of analyzed environmental factors increased, suggesting that environmental factors are associated with TB transmission; however, only population density was found to be significantly associated with increased risk of TB (p < 0.05). Molecular typing methods combined with spatial analysis suggest possible TB transmission. Early intervention to interrupt transmission may be most effective if targeted to hot zones of TB.
总计对来自台湾中部 303 名患者(2012 年 1 月至 12 月采集)的 303 株随机选择的临床分枝杆菌结核(MTB)分离株进行了检查。发现的主要谱系是北京(N=114,37.62%),哈雷姆(N=76,25.08%)和东非-印度(EAI)(N=42,13.86%)。值得注意的是,与老年人(>70 岁)相比,年轻人(≤30 岁)感染北京基因型的可能性高 6.58 倍(p<0.05)。通过分子分型方法和地理信息系统(GIS)分析,我们发现热点地区(33%)北京株的发病率是非热点地区(17%)的两倍。通过 24 个 MIRU-VNTR 分型,与非聚类人群相比,聚类人群感染北京株的可能性高 1.96 倍,表明 MTB 的近期传播和出现。最后,我们观察到随着分析环境因素的密度/浓度的增加,TB 发病率呈上升趋势,表明环境因素与 TB 传播有关;但是,仅发现人口密度与增加的 TB 风险显著相关(p<0.05)。分子分型方法与空间分析相结合表明可能存在 TB 传播。如果针对 TB 的热点区域进行早期干预以中断传播,可能会最有效。