聚乙二醇化干扰素加利巴韦林联合治疗的病毒学反应预测因子,包括病毒和宿主因素。

Hepatitis research and treatment Pub Date : 2010-01-01 Epub Date: 2010-09-05 DOI:10.1155/2010/703602
Namiki Izumi, Yasuhiro Asahina, Masayuki Kurosaki
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引用次数: 17

摘要

聚乙二醇化干扰素(PEG-IFN)和利巴韦林(RBV)的联合治疗使基因型1b和高水平血浆HCVRNA的难治性病例实现50%的持续病毒学应答(SVR)成为可能。据报道,包括病毒突变和宿主因素(如年龄、性别、肝纤维化、脂质代谢、先天免疫和单核苷酸多态性(snp))在内的几个因素与治疗效果相关。然而,很难确定哪个因素是个体患者最重要的预测因子。数据挖掘分析有助于将所有这些因素结合起来预测治疗效果。在开始治疗之前,分析血液检查和预测治疗效果是很重要的。由于新的抗丙型肝炎病毒药物正在开发中,未来有必要选择那些如果采用标准方案治疗,很有可能实现SVR的患者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Predictors of virological response to a combination therapy with pegylated interferon plus ribavirin including virus and host factors.

A combination therapy with pegylated interferon (PEG-IFN) plus ribavirin (RBV) has made it possible to achieve a sustained virological response (SVR) of 50% in refractory cases with genotype 1b and high levels of plasma HCVRNA. Several factors including virus mutation and host factors such as age, gender, fibrosis of the liver, lipid metabolism, innate immunity, and single nucleotide polymorphism (SNPs) are reported to be correlated to therapeutic effects. However, it is difficult to determine which factor is the most important predictor for an individual patient. Data mining analysis is useful for combining all these together to predict the therapeutic effects. It is important to analyze blood tests and to predict therapeutic effects prior to initiating treatment. Since new anti-HCV agents are under development, it will be necessary in the future to select the patients who have a high possibility of achieving SVR if treatment is performed with standard regimen.

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