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流感的系统生物学:理解个性化预防与治疗的多维相互作用

Systems biology of influenza: understanding multidimensional interactions for personalized prevention and treatment.

作者信息

Yan Qing

机构信息

PharmTao, Santa Clara, CA, USA.

出版信息

Methods Mol Biol. 2010;662:285-302. doi: 10.1007/978-1-60761-800-3_14.

DOI:10.1007/978-1-60761-800-3_14
PMID:20824477
Abstract

Influenza virus infection is a public health threat worldwide. It is urgent to develop effective methods and tools for the prevention and treatment of influenza. Influenza vaccines have significant immune response variability across the population. Most of the current circulating strains of influenza A virus are resistant to anti-influenza drugs. It is necessary to understand how genetic variants affect immune responses, especially responses to the HA and NA transmembrane glycoproteins. The elucidation of the underlying mechanisms can help identify patient subgroups for effective prevention and treatment. New personalized vaccines, adjuvants, and drugs may result from the understanding of interactions of host genetic, environmental, and other factors. The systems biology approach is to simulate and model large networks of the interacting components, which can be excellent targets for antiviral therapies. The elucidation of host-influenza interactions may provide an integrative view of virus infection and host responses. Understanding the host-influenza-drug interactions may contribute to optimal drug combination therapies. Insight of the host-influenza-vaccine interactions, especially the immunogenetics of vaccine response, may lead to the development of better vaccines. Systemic studies of host-virus-vaccine-drug-environment interactions will enable predictive models for therapeutic responses and the development of individualized therapeutic strategies. A database containing such information on personalized and systems medicine for influenza is available at http://flu.pharmtao.com.

摘要

流感病毒感染是全球公共卫生威胁。开发预防和治疗流感的有效方法和工具迫在眉睫。流感疫苗在人群中的免疫反应差异很大。目前大多数甲型流感病毒流行株对抗流感药物耐药。有必要了解基因变异如何影响免疫反应,尤其是对血凝素(HA)和神经氨酸酶(NA)跨膜糖蛋白的反应。阐明潜在机制有助于识别可进行有效预防和治疗的患者亚组。对宿主基因、环境及其他因素相互作用的理解可能会催生新的个性化疫苗、佐剂和药物。系统生物学方法是对相互作用成分的大型网络进行模拟和建模,这些网络可能是抗病毒治疗的理想靶点。阐明宿主与流感的相互作用可能会提供病毒感染和宿主反应的综合视角。了解宿主-流感-药物相互作用可能有助于优化联合药物治疗。洞察宿主-流感-疫苗相互作用,尤其是疫苗反应的免疫遗传学,可能会推动更好疫苗的研发。对宿主-病毒-疫苗-药物-环境相互作用的系统研究将有助于建立治疗反应预测模型并制定个性化治疗策略。可通过http://flu.pharmtao.com获取一个包含此类流感个性化和系统医学信息的数据库。

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