首页> 外文期刊>The Journal of molecular diagnostics: JMD >Diagnostic Performance of a Cytokine and IFN-gamma-Induced Chemokine mRNA Assay after Mycobacterium tuberculosis-Specific Antigen Stimulation in Whole Blood from Infected Individuals
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Diagnostic Performance of a Cytokine and IFN-gamma-Induced Chemokine mRNA Assay after Mycobacterium tuberculosis-Specific Antigen Stimulation in Whole Blood from Infected Individuals

机译:感染个体全血中结核分枝杆菌特异性抗原刺激后细胞因子和IFN-γ诱导的趋化因子mRNA检测的诊断性能

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摘要

Interferon (IFN)-gamma release assays have Limited sensitivity and cannot differentiate between active tuberculosis (TB) disease and latent TB infection (LTBI). Numerous cytokines and regulator factors have been implicated in the pathogenesis and control of Mycobacterium tuberculosis infection. Additional cytokines and chemokines associated with M. tuberculosis infection may improve the performance of IFN-gamma release assays. We developed a real-time RT-PCR TaqMan assay for targeting levels of eight human targets [IFN-gamma, tumor necrosis factor (TNF)-alpha, IL-2R, IL-4, IL-10, CXCL9, CXCL10, and CXCL11] and evaluated the assay with three different study groups. Results showed that the sensitivity of INF-alpha, IL-2R, and CXCL10 in the active pulmonary tuberculosis (PTB) group was 96.43%, 96.43%, and 100%, respectively. The sensitivity of IL-2R and CXCL10 in the latent tuberculosis infection group was 86.36% and 81.82%, respectively. Statistical results showed that TNF-alpha and CXCL9 were the best individual markers for differentiating between the PTB, LTBI, and non-TB groups. For optimal sensitivity and differentiation of M. tuberculosis infection status, the simultaneous detection of multiple targets was attempted. The combination of IFN-gamma, TNF-alpha, and IL-2R, and the combination of TNF-alpha, IL-2R, CXCL9, and CXCL10 showed the best performance for detecting active PTB (both 100% positivity) and LTBI (86.36% and 81.82% positivity, respectively). These results imply that the combination of suitable markers is useful in efficiently diagnosing TB and differentiating M. tuberculosis infection status.
机译:干扰素(IFN)-γ释放测定法灵敏度有限,无法区分活动性肺结核(TB)病和潜伏性结核感染(LTBI)。在结核分枝杆菌感染的发病机理和控制中已经涉及到许多细胞因子和调节因子。与结核分枝杆菌感染相关的其他细胞因子和趋化因子可能会改善IFN-γ释放检测的性能。我们开发了一种实时RT-PCR TaqMan测定法,用于靶向八种人类靶标的水平[IFN-γ,肿瘤坏死因子(TNF)-alpha,IL-2R,IL-4,IL-10,CXCL9,CXCL10和CXCL11 ),并与三个不同的研究小组一起评估了该分析方法。结果显示,活动性肺结核(PTB)组中INF-alpha,IL-2R和CXCL10的敏感性分别为96.43%,96.43%和100%。潜伏性结核感染组中IL-2R和CXCL10的敏感性分别为86.36%和81.82%。统计结果表明,TNF-α和CXCL9是区分PTB,LTBI和非TB组的最佳个体标记。为了获得最佳的敏感性和区分结核分枝杆菌感染状态的方法,尝试同时检测多个目标。 IFN-γ,TNF-α和IL-2R的组合以及TNF-α,IL-2R,CXCL9和CXCL10的组合显示出检测活性PTB(均为100%阳性)和LTBI的最佳性能(86.36阳性率分别为%和81.82%)。这些结果表明,适当标记的组合可用于有效诊断结核病和区分结核分枝杆菌感染状况。

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