Loth Eva, Murphy Declan G, Spooren Will
Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Sackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Roche Pharmaceutical Research and Early Development, NORD Discovery and Translational Area, Roche Innovation Center , Basel , Switzerland.
Front Psychiatry. 2016 Nov 29;7:188. doi: 10.3389/fpsyt.2016.00188. eCollection 2016.
The tremendous clinical and etiological variability between individuals with autism spectrum disorder (ASD) has made precision medicine the most promising treatment approach. It aims to combine new pathophysiologically based treatments with objective tests (stratification biomarkers) to predict which treatment may be beneficial for a particular person. Here we discuss significant advances and current challenges for this approach: rare monogenic forms of ASD have provided a major breakthrough for the identification of treatment targets by providing a means to trace causal links from a gene to specific molecular alterations and biological pathways. To estimate whether treatment targets thus identified may be useful for larger patient groups we need a better understanding of whether different etiologies (i.e., genetic and environmental risk factors acting at different critical time points) lead to convergent or divergent molecular mechanisms, and how they map onto differences in circuit-level brain and cognitive development, and behavioral symptom profiles. Several recently failed clinical trials with syndromic forms of ASD provide valuable insights into conceptual and methodological issues linked to limitations in the translatability from animal models to humans, placebo effects, and a need for mechanistically plausible, objective outcome measures. To identify stratification biomarkers that enrich participant selection in clinical trials, large-scale multi-modal longitudinal observational studies are underway. Addressing these different factors in the next generation of research studies requires a translatable developmental perspective and multidisciplinary, collaborative efforts, with a commitment to sharing protocols and data, to increase transparency and reproducibility.
自闭症谱系障碍(ASD)患者之间巨大的临床和病因变异性使得精准医学成为最具前景的治疗方法。它旨在将基于新病理生理学的治疗方法与客观测试(分层生物标志物)相结合,以预测哪种治疗方法可能对特定个体有益。在此,我们讨论这种方法的重大进展和当前面临的挑战:ASD的罕见单基因形式通过提供一种追踪从基因到特定分子改变和生物途径的因果联系的手段,为确定治疗靶点带来了重大突破。为了评估如此确定的治疗靶点是否对更大的患者群体有用,我们需要更好地理解不同病因(即作用于不同关键时间点的遗传和环境风险因素)是否导致趋同或不同的分子机制,以及它们如何映射到大脑回路水平和认知发展的差异以及行为症状特征上。最近几项针对综合征型ASD的临床试验失败,为与从动物模型到人类的可转化性限制、安慰剂效应以及对具有机械合理性的客观结局指标的需求相关的概念和方法问题提供了宝贵的见解。为了确定能够在临床试验中丰富参与者选择的分层生物标志物,大规模多模式纵向观察研究正在进行中。在下一代研究中解决这些不同因素需要一个可转化的发展视角以及多学科的协作努力,并致力于共享方案和数据,以提高透明度和可重复性。