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Gene expression and hepatitis C virus infection.

机译:基因表达和丙型肝炎病毒感染。

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摘要

Hepatitis C virus (HCV) is a major cause of chronic liver disease, with about 170 million people infected worldwide. Up to 70% of patients will have persistent infection after inoculation, making this disease a significant cause of morbidity and mortality. The severity of disease varies widely, from asymptomatic chronic infection to cirrhosis and hepatocellular carcinoma. Since the discovery of HCV, the treatment of hepatitis C has considerably improved. Recently, combination of pegylated interferons with ribavirin gives a response rate of about 55%. Treatment is indicated in patients with moderate or severe fibrosis. The tolerability of combination treatment is relatively poor, with a frequent flu-like syndrome and an impaired quality of life. In addition to viral and environmental behavioural factors, host genetic diversity is believed to contribute to the spectrum of clinical outcomes in HCV infection. The sequencing of the human genome, together with the development of high-throughput technologies that measure the function of the genome, have afforded unique opportunities to develop profiles that can distinguish, identify and classify discrete subsets of disease, predict the disease outcome or predict the response to treatment. This paper reviews the published literature on gene expression associated with HCV infection (HCV infection, fibrosis progression), and also according to response to treatment.
机译:丙型肝炎病毒(HCV)是导致慢性肝病的主要原因,全球约有1亿7千万人被感染。高达70%的患者在接种后将持续感染,使该疾病成为发病率和死亡率的重要原因。从无症状的慢性感染到肝硬化和肝细胞癌,疾病的严重程度差异很大。自从发现HCV以来,丙型肝炎的治疗已大大改善。近来,聚乙二醇化干扰素与利巴韦林的组合产生约55%的响应率。中度或重度纤维化患者需要进行治疗。联合治疗的耐受性相对较差,常见于流感样综合症,生活质量受损。除病毒和环境行为因素外,宿主遗传多样性被认为有助于HCV感染的临床结果。人类基因组的测序以及测量基因组功能的高通量技术的发展,提供了独特的机会来开发可区分,鉴定和分类疾病的离散子集,预测疾病结果或预测疾病的概况。对治疗的反应。本文回顾了已发表的有关HCV感染相关基因表达的文献(HCV感染,纤维化进展),并根据对治疗的反应。

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