首页> 外文期刊>Journal of Infectious Diseases >Gene Expression Profiles in Hepatitis C Virus (HCV) and HIV Coinfection: Class Prediction Analyses before Treatment Predict the Outcome of Anti-HCV Therapy among HIV-Coinfected Persons
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Gene Expression Profiles in Hepatitis C Virus (HCV) and HIV Coinfection: Class Prediction Analyses before Treatment Predict the Outcome of Anti-HCV Therapy among HIV-Coinfected Persons

机译:丙型肝炎病毒(HCV)和HIV合并感染的基因表达谱:治疗前的类别预测分析预测HIV合并感染者进行抗HCV治疗的结果

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Therapy for hepatitis C virus (HCV) infection in human immunodeficiency virus (HIV)–infected patients results in modest cure rates. Gene expression patterns in peripheral blood mononuclear cells from 29 patients coinfected with HIV and HCV were used to predict virological response to therapy for HCV infection. Prediction analysis using pretherapy samples identified 79 genes that correctly classified all 10 patients who did not respond to therapy, 8 of 10 patients with a response at the end of treatment, and 7 of 9 patients with sustained virological response (86% overall). Analysis of 17 posttreatment samples identified 105 genes that correctly classified all 9 patients with response at the end of treatment and 7 of 8 patients with sustained virological response (94% overall). Failure of anti-HCV therapy was associated with elevated expression of interferon-stimulated genes. Gene expression patterns may provide a tool to predict anti-HCV therapeutic response
机译:在感染了人类免疫缺陷病毒(HIV)的患者中治疗丙型肝炎病毒(HCV)的方法导致治愈率不高。来自29位同时感染HIV和HCV的患者的外周血单个核细胞中的基因表达模式用于预测对HCV感染治疗的病毒学应答。使用治疗前样本进行的预测分析确定了79种基因,这些基因正确地对所有10名对治疗无反应的患者,10名在治疗结束时有反应的患者中的8名以及9名持续病毒学应答的患者(总86%)进行了正确分类。对17个治疗后样本的分析确定了105个基因,这些基因正确地将所有9例在治疗结束时有反应的患者和8例持续的病毒学应答中的7例正确分类(总体占94%)。抗HCV治疗失败与干扰素刺激基因表达升高有关。基因表达模式可能提供预测抗HCV治疗反应的工具

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