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中枢神经系统药物研发:迈向个体化医疗的综合生物标志物方法。

Central nervous system drug development: an integrative biomarker approach toward individualized medicine.

作者信息

Gomez-Mancilla B, Marrer E, Kehren J, Kinnunen A, Imbert G, Hillebrand R, Bergström M, Schmidt M E

机构信息

Neuroscience-Biomarker Development, Novartis Pharma, CH-4002 Basel, Switzerland.

出版信息

NeuroRx. 2005 Oct;2(4):683-95. doi: 10.1602/neurorx.2.4.683.

Abstract

Drug development for CNS disorders faces the same formidable hurdles as other therapeutic areas: escalating development costs; novel drug targets with unproven therapeutic potential; and health care systems and regulatory agencies demanding more compelling demonstrations of the value of new drug products. Extensive clinical testing remains the core of registration of new compounds; however, traditional clinical trial methods are falling short in overcoming these development hurdles. The most common CNS disorders targeted for drug treatment are chronic, slowly vitiating processes manifested by highly subjective and context dependent signs and symptoms. With the exception of a few rare familial degenerative disorders, they have ill-defined or undefined pathophysiology. Samples selected for treatment trials using clinical criteria are inevitably heterogeneous, and dependence on traditional endpoints results in early proof-of-concept trials being long and large, with very poor signal to noise. It is no wonder that pharmaceutical and biotechnology companies are looking to biomarkers as an integral part of decision-making process supported by new technologies such as genetics, genomics, proteomics, and imaging as a mean of rationalizing CNS drug development. The present review represent an effort to illustrate the integration of such technologies in drug development supporting the path of individualized medicine.

摘要

中枢神经系统疾病的药物研发面临着与其他治疗领域相同的巨大障碍

研发成本不断攀升;新型药物靶点的治疗潜力未经证实;医疗保健系统和监管机构要求更有力地证明新药产品的价值。广泛的临床试验仍然是新化合物注册的核心;然而,传统的临床试验方法在克服这些研发障碍方面存在不足。药物治疗最常见的中枢神经系统疾病是慢性、缓慢恶化的过程,表现为高度主观且依赖于背景的体征和症状。除了少数罕见的家族性退行性疾病外,它们的病理生理学定义不明确或未定义。使用临床标准选择用于治疗试验的样本不可避免地具有异质性,并且对传统终点的依赖导致早期概念验证试验漫长且规模庞大,信噪比非常低。难怪制药和生物技术公司将生物标志物视为决策过程的一个组成部分,借助遗传学、基因组学、蛋白质组学和成像等新技术,作为使中枢神经系统药物研发合理化的一种手段。本综述旨在说明这些技术在支持个体化医疗路径的药物研发中的整合。

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