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首页> 外文期刊>Brain and Neuroscience Advances >The research domain criteria framework in drug discovery for neuropsychiatric diseases: focus on negative valence:
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The research domain criteria framework in drug discovery for neuropsychiatric diseases: focus on negative valence:

机译:神经精神疾病药物发现中的研究领域标准框架:关注负价:

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摘要

Drug discovery, particularly in the field of central nervous system, has had very limited success in the last few decades. A likely contributor is the poor translation between preclinical and clinical phases. The Research Domain Criteria of the National Institutes of Mental Health is a framework which aims to identify new ways of classifying mental illnesses that are based on observable behaviour and neurobiological measures, and to provide a guiding and evolving framework to improve the translation from preclinical to clinical research. At the core of the Research Domain Criteria approach is the assumption that the dimensional constructs described can be assessed across different units of analysis, thus enabling a more precise quantitative understanding of their neurobiological underpinnings, increasing the likelihood of identifying new and effective therapeutic approaches. In the present review, we discuss how the Research Domain Criteria can be applied to drug discovery with the domain Negative Valence, construct Potential Threat (‘Anxiety’) as an example. We will discuss the evidence supporting the utility of the Research Domain Criteria approach and evaluate how close we are to achieving a common thread of translational research from gene to self-report.
机译:在过去的几十年中,尤其是在中枢神经系统领域,药物发现的成功非常有限。可能的原因是临床前和临床阶段之间的翻译不佳。美国国立精神卫生研究所的研究领域标准是一个框架,旨在基于可观察到的行为和神经生物学措施,确定对精神疾病进行分类的新方法,并提供指导和不断发展的框架,以改善从临床前到临床的翻译研究。研究领域标准方法的核心是假设可以在不同的分析单位之间评估所描述的维度结构,从而能够更精确地定量了解其神经生物学基础,从而增加了识别新的有效治疗方法的可能性。在本篇综述中,我们将讨论如何将研究领域标准与领域负价一起应用于药物发现,并以潜在威胁(“焦虑”)为例。我们将讨论支持“研究领域标准”方法实用性的证据,并评估我们距离实现从基因到自我报告的转化研究的共同思路有多近。

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