Suppr超能文献

药物诱导的过敏反应与药物基因组学:过去、现在与未来。

Drug-induced hypersensitivity reactions and pharmacogenomics: past, present and future.

机构信息

The Wolfson Centre for Personalised Medicine, Department of Pharmacology, University of Liverpool, Block A, Waterhouse Buildings, 1-5 Brownlow Street, Liverpool, L69 3GL, UK.

出版信息

Pharmacogenomics. 2010 Apr;11(4):497-9. doi: 10.2217/pgs.10.12.

Abstract

Drug-induced hypersensitivity reactions represent a major concern for clinicians, patients, regulators and drug developers. Severe hypersensitivity is associated with high morbidity and mortality, it cannot be predicted from the known pharmacology of the drug and it is usually detected post-marketing when a large number of patients have been exposed to a particular drug. Recent success in developing clinically useful genetic tests that have allowed us to predict the risk of abacavir-induced hypersensitivity has helped to pave the path for a pharmacogenetic approach. However, the loop from identifying a genetic association to improving clinical outcome is still lacking for many drugs. In this commentary, we discuss the progress of hypersensitivity pharmacogenomics over the last decade and point out what remains to be done in the future. The current efforts of the international community are focused on the development of consortia, which aim to standardize disease phenotypes, but also to collect larger numbers of well-phenotyped patients and to pool biological samples through these collaborations. In addition, it is necessary to advance our knowledge of hypersensitivity mechanisms through functional studies, which will lead to the development of predictive and diagnostic tests.

摘要

药物诱导的过敏反应是临床医生、患者、监管机构和药物开发者关注的主要问题。严重的过敏反应与高发病率和死亡率相关,它不能从药物的已知药理学中预测,并且通常在上市后发现,此时大量患者已经接触到特定药物。最近在开发临床有用的遗传测试方面取得的成功使我们能够预测阿巴卡韦诱导的过敏反应的风险,这有助于为药物遗传学方法铺平道路。然而,对于许多药物来说,从确定遗传关联到改善临床结果的循环仍然缺失。在这篇评论中,我们讨论了过去十年中过敏反应药物基因组学的进展,并指出了未来仍需完成的工作。国际社会目前的努力集中在制定联盟,旨在标准化疾病表型,但也收集更多经过良好表型分析的患者,并通过这些合作汇集生物样本。此外,有必要通过功能研究来提高我们对过敏反应机制的认识,这将导致预测和诊断测试的开发。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验