Suppr超能文献

推进精神分裂症药物研发:优化啮齿动物模型以弥合转化差距。

Advancing schizophrenia drug discovery: optimizing rodent models to bridge the translational gap.

机构信息

Centre for Neuroscience, Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow G4 0RE, UK.

出版信息

Nat Rev Drug Discov. 2012 Jun 22;11(7):560-79. doi: 10.1038/nrd3649.

Abstract

Although our knowledge of the pathophysiology of schizophrenia has increased, treatments for this devastating illness remain inadequate. Here, we critically assess rodent models and behavioural end points used in schizophrenia drug discovery and discuss why these have not led to improved treatments. We provide a perspective on how new models, based on recent advances in the understanding of the genetics and neural circuitry underlying schizophrenia, can bridge the translational gap and lead to the development of more effective drugs. We conclude that previous serendipitous approaches should be replaced with rational strategies for drug discovery in integrated preclinical and clinical programmes. Validation of drug targets in disease-based models that are integrated with translationally relevant end point assessments will reduce the current attrition rate in schizophrenia drug discovery and ultimately lead to therapies that tackle the disease process.

摘要

尽管我们对精神分裂症的病理生理学有了更多的了解,但这种毁灭性疾病的治疗方法仍然不足。在这里,我们批判性地评估了用于精神分裂症药物发现的啮齿动物模型和行为终点,并讨论了为什么这些模型和终点没有导致治疗方法的改进。我们提供了一种观点,即基于对精神分裂症遗传和神经回路基础的理解的最新进展的新型模型如何能够缩小转化差距并导致更有效的药物的开发。我们得出结论,以前的偶然方法应该被用于综合临床前和临床计划的药物发现的合理策略所取代。在与转化相关的终点评估相结合的基于疾病的模型中验证药物靶点将降低目前精神分裂症药物发现中的淘汰率,并最终导致针对疾病过程的治疗方法。

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