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Decreased IP-10 and Elevated TGFβ1 Levels are Associated with Viral Clearance Following Therapy in Patients with Hepatitis C Virus

机译:丙型肝炎病毒治疗后IP-10降低和TGFβ1水平升高与病毒清除率相关

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摘要

The role of pro-fibrogenic cytokines in the outcome of infections with hepatitis C virus (HCV) and the response to treatment with pegylated interferon-alpha (pegIFNα) and ribavirin remains unclear. To address this issue, we assessed hepatic fibrosis and plasma markers pertinent to T-cell mediated fibrogenesis and inflammation at the start of treatment. Levels of soluble (s)CD30, interleukin-13 receptor alpha 2 (IL-13Rα2), total and active transforming growth factor-beta 1 (TGFβ1), interleukin-18 (IL-18) and interferon-gamma inducible protein-10 (IP-10, CXCL10) were correlated with the severity of fibrosis and with treatment outcome using multiple logistic regression modelling. The Hepascore algorithm was confirmed as a marker of fibrosis, but was a poor predictor of treatment outcome. Inclusion of all immunological markers improved prediction based on Hepascore alone (p = 0.045), but optimal prediction was achieved with an algorithm (“TIPscore”) based on TGFβ1 (total), IP-10, age, sex and HCV genotype (p = 0.003 relative to Hepascore). Whilst this was only marginally more effective than predictions based on HCV genotype age and sex (p = 0.07), it associates high TGFβ1 and low IP-10 levels with a failure of therapy.
机译:尚不清楚促纤维化细胞因子在丙型肝炎病毒(HCV)感染结果中的作用以及对聚乙二醇化干扰素-α(pegIFNα)和利巴韦林治疗反应的作用。为了解决这个问题,我们在治疗开始时评估了肝纤维化和与T细胞介导的纤维形成和炎症相关的血浆标志物。可溶性CD30,白介素13受体α2(IL-13Rα2),总和活性转化生长因子β1(TGFβ1),白介素18(IL-18)和干扰素-γ诱导蛋白10( IP-10,CXCL10)与纤维化的严重程度以及使用多重logistic回归模型的治疗结果相关。 Hepascore算法已被确认为纤维化的标志物,但对治疗结局的预测较差。纳入所有免疫学标记可改善仅基于Hepascore的预测(p = 0.045),但是使用基于TGFβ1(总),IP-10,年龄,性别和HCV基因型(p = 6)的算法(“ TIPscore”)可获得最佳预测相对于Hepascore为0.003)。尽管这仅比基于HCV基因型年龄和性别的预测略有效果(p = 0.07),但它将高TGFβ1和低IP-10水平与治疗失败相关联。

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