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Combined Analysis of IFN-γ IL-2 IL-5 IL-10 IL-1RA and MCP-1 in QFT Supernatant Is Useful for Distinguishing Active Tuberculosis from Latent Infection

机译:结合分析QFT上清液中的IFN-γIL-2IL-5IL-10IL-1RA和MCP-1可用于区分潜在感染的活动性肺结核

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摘要

The QuantiFERON®-TB Gold In-Tube test (QFT), an interferon-γ release assay, is used to diagnose Mycobacterium tuberculosis, but its inaccuracy in distinguishing active tuberculosis from latent infection is a major concern. There is thus a need for an easy and accurate tool for achieving that goal in daily clinical settings. This study aimed to identify candidate cytokines for specifically differentiating active tuberculosis from latent infection. Our study population consisted of 31 active TB (tuberculosis) patients, 29 LTBI (latent tuberculosis infection) patients and 10 healthy control subjects. We assayed for 27 cytokines in QFT supernatants of both specific antigen-stimulated blood samples (TBAg) and negative-control samples (Nil). We analyzed their specificities and sensitivities by creating receiver operating characteristic (ROC) curves and measuring the area under those curves (AUCs). In TBAg–Nil supernatants, IL-10, IFN-γ, MCP-1 and IL-1RA showed high AUCs of 0.8120, 0.7842, 0.7419 and 0.7375, respectively. Compared with each cytokine alone, combined assay for these top four cytokines showed positive rates in diagnosing active TB, and GDA analysis revealed that MCP-1 and IL-5 are potent in distinguishing active TB from LTBI, with Wilk’s lambda = 0.718 (p < 0.001). Furthermore, utilizing the unique characteristic of IL-2 that its TBAg–Nil supernatant levels are higher in LTBI compared to active TB, the difference between IFN-γ and IL-2 showed a large AUC of 0.8910. In summary, besides IFN-γ, IL-2, IL-5, IL-10, IL-1RA and MCP-1 in QFT supernatants may be useful for distinguishing active TB from LTBI. Those cytokines may also help us understand the difference in pathogenesis between active TB and LTBI.
机译:QuantiFERON®-TB黄金管内测试(QFT)是一种干扰素-γ释放测定法,用于诊断结核分枝杆菌,但是在区分活动性结核病和潜伏性感染方面的准确性不高。因此,需要一种简单而准确的工具来在日常临床环境中实现该目标。这项研究旨在确定候选细胞因子,以专门区分活动性肺结核和潜伏感染。我们的研究人群包括31名活动性TB(结核)患者,29名LTBI(潜伏性结核感染)患者和10名健康对照受试者。我们检测了特定抗原刺激的血液样品(TBAg)和阴性对照样品(Nil)的QFT上清液中的27种细胞因子。我们通过创建接收器工作特征(ROC)曲线并测量这些曲线下的面积(AUC),分析了它们的特异性和敏感性。在TBAg-Nil上清液中,IL-10,IFN-γ,MCP-1和IL-1RA的高AUC分别为0.8120、0.7842、0.7419和0.7375。与单独的每种细胞因子相比,对这四种前四种细胞因子的联合测定显示出诊断活动性结核的阳性率,GDA分析显示,MCP-1和IL-5在区分活动性TB和LTBI方面很有效,Wilkλ= 0.718(p < 0.001)。此外,利用IL-2的独特特征,即LTBI中其TBAg–Nil上清液水平高于活性TB,IFN-γ和IL-2之间的差异显示出0.8910的大AUC。总之,除了IFN-γ外,QFT上清液中的IL-2,IL-5,IL-10,IL-1RA和MCP-1还可用于区分活性TB和LTBI。这些细胞因子也可能帮助我们了解活动性结核病和LTBI之间发病机制的差异。

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