机构地区:[1]广东省结核病控制中心,广州510630 [2]深圳市宝市安区慢性病防治院结核病防治科 [3]佛山市第四人民医院检验科 [4]暨南大学医学院微生物与免疫教研室 [5]华南理工大学轻工食品学院 [6]东莞市慢性病防治院检验科
出 处:《中国防痨杂志》2015年第8期827-835,共9页Chinese Journal of Antituberculosis
基 金:基金项目:“十二五”国家科技重大专项(2014ZX10003002-003);广东省科技计划(2014A020212238);广东省卫生科技项目(C2013008/C2012008)
摘 要:目的γ-干扰素(IFN-γ)释放试验(IGRA)是目前广泛运用的结核病筛查和诊断技术,但其无法区分活动性结核病和潜伏性结核感染(LTBI)。本研究旨在发现更加合适的血清标志物(细胞因子)可以替换IGRA,用于活动性结核病的诊断和LTBI者的筛查,以及这些细胞因子之间的相互调控网络关系。方法40份健康人(简称“健康组”)血液样本,40份确诊为活动性肺结核患者(简称“肺结核组”)的血液样本,40份LTBI者(简称“LTBI组”)的血液样本;通过结核分枝杆菌特异性抗原[早期分泌抗原靶6(ESAT6)和培养滤液蛋白10(CFP10)]进行刺激;通过人细胞因子芯片对刺激后的细胞因子表达变化进行检测;并筛选显著变化的因子,进行细胞因子调控网络构建。结果在肺结核组患者的外周血中嗜酸粒细胞趋化蛋白(CCI。)1(I-309)、趋化因子CXCLgE又称为Mig,即monokineinducedbyIFN-7(IFN-7诱导的单核因子)]、白细胞介素(IL)10、IL6、集落刺激因子(CSF)2、CSF3、IL8、IL1α、IL7、转化生长因子(TGF)-β1、CCL2、IL2、IL13、肿瘤坏死因子(TNF)α等因子在结核特异性抗原刺激后显著上调(2.06倍至3.18倍);而在健康组和LTBI组当中却没有显著上调。在肺结核组和LTBI组患者的外周血中CCL3、IL1b、CCL8、IFN-γ、CXCL10因子在结核分枝杆菌特异性抗原刺激后明显上调(2.44倍至11.56倍);而在健康组中这些因子没有明显的上调。趋化因子CCL4和巨噬细胞炎性蛋白(MIP)-1α因子在健康组、LTBI组和肺结核组外周血中,经过结核分枝杆菌特异性抗原刺激后,表达都明显上调。细胞因子调控网络显示,这些表达上调的因子,主要集中于IFNγ和IL1α因子调控网络中。结论CXCL10(IP10)、CCL3、CCL8和ILII?因子可能比IFNγ更适合用于结核病或LTBI者的筛查。Objective IFN-γ release assay (IGRA) is widely used for tuberculosis (TB) screening and diag- nosis currently. But it can't distinguish between active tuberculosis and latent tuberculosis (LTB). The aim of this study was to find more appropriate serum markers and their regulatory networks as alternatives to IFN-γ, for active tuberculosis diagnosis and tuberculosis latent infection screening. Methods Forty healthy control blood samples, 40 diagnosed pulmonary tuberculosis patients blood samples, 40 TB latent infected blood samples were stimulated with specific antigens of Mycobacterium tuberculosis ESAT-6 and CFP-10; the cytokines expression were profiled with human cytokine array; and the significant changes cytokines were used to cytokine regulation network construction.Results CCL1 (I-309), CXCL9 (MIG), IL10, IL6, CSF2, CSF3, IL8, IL1α, IL7, TGF-β1, CCL2, IL2, IL13, TNFα were significantly upregulated from 2.06 to 3.18 timesin patients with active pulmonary tuberculosis after tuberculosis specific antigen stimulation; CCL3, ILI1, CCL8, IFN-γ, CXCL10 were significantly upregulated from 2.44 to 11.56 times in the active tuberculosis and latent TB infection; CCL4 and MIP-1α were up-regulated in all these three groups after Mycobacterium tuberculosis specific antigen stimulation. Cytokine regulatory networks show that these up-regulated cytokines are mainly concentrated in the IFN-γ and IL1α regulatory networks. Conclusion CXCL10 (IP-10), CCL3, CCL8 and IL1β may be more suitable for tuberculosis or latent tuberculosis screening than IFN-γ.
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