Armauer Hansen Research Institute, Addis Ababa, Ethiopia.
BMC Infect Dis. 2014 May 13;14:257. doi: 10.1186/1471-2334-14-257.
Genetic factors are involved in susceptibility or protection to tuberculosis (TB). Apart from gene polymorphisms and mutations, changes in levels of gene expression, induced by non-genetic factors, may also determine whether individuals progress to active TB.
We analysed the expression level of 45 genes in a total of 47 individuals (23 healthy household contacts and 24 new smear-positive pulmonary TB patients) in Addis Ababa using a dual colour multiplex ligation-dependent probe amplification (dcRT-MLPA) technique to assess gene expression profiles that may be used to distinguish TB cases and their contacts and also latently infected (LTBI) and uninfected household contacts.
The gene expression level of BLR1, Bcl2, IL4d2, IL7R, FCGR1A, MARCO, MMP9, CCL19, and LTF had significant discriminatory power between sputum smear-positive TB cases and household contacts, with AUCs of 0.84, 0.81, 0.79, 0.79, 0.78, 0.76, 0.75, 0.75 and 0.68 respectively. The combination of Bcl2, BLR1, FCGR1A, IL4d2 and MARCO identified 91.66% of active TB cases and 95.65% of household contacts without active TB. The expression of CCL19, TGFB1, and Foxp3 showed significant difference between LTBI and uninfected contacts, with AUCs of 0.85, 0.82, and 0.75, respectively, whereas the combination of BPI, CCL19, FoxP3, FPR1 and TGFB1 identified 90.9% of QFT- and 91.6% of QFT+ household contacts.
Expression of single and especially combinations of host genes can accurately differentiate between active TB cases and healthy individuals as well as between LTBI and uninfected contacts.
遗传因素与结核病(TB)的易感性或保护有关。除了基因多态性和突变外,非遗传因素引起的基因表达水平的变化也可能决定个体是否发展为活动性 TB。
我们使用双色多重连接探针扩增(dcRT-MLPA)技术分析了来自亚的斯亚贝巴的 47 个人(23 名健康家庭接触者和 24 名新的痰涂片阳性肺结核患者)的 45 个基因的表达水平,以评估可能用于区分结核病病例及其接触者以及潜伏性感染(LTBI)和未感染家庭接触者的基因表达谱。
BLR1、Bcl2、IL4d2、IL7R、FCGR1A、MARCO、MMP9、CCL19 和 LTF 的基因表达水平在痰涂片阳性 TB 病例和家庭接触者之间具有显著的区分能力,AUC 分别为 0.84、0.81、0.79、0.79、0.78、0.76、0.75、0.75 和 0.68。Bcl2、BLR1、FCGR1A、IL4d2 和 MARCO 的组合可识别 91.66%的活动性 TB 病例和 95.65%的无活动性 TB 家庭接触者。CCL19、TGFB1 和 Foxp3 的表达在 LTBI 和未感染接触者之间存在显著差异,AUC 分别为 0.85、0.82 和 0.75,而 BPI、CCL19、FoxP3、FPR1 和 TGFB1 的组合可识别 90.9%的 QFT-和 91.6%的 QFT+家庭接触者。
单个基因表达,特别是宿主基因组合的表达,可以准确地区分活动性 TB 病例和健康个体,以及 LTBI 和未感染接触者。