Biomedical Engineering Department, Key Laboratory of Photoelectronic Information Sensing and Transmitting Technology, High School Innovation Team of Architecture and Core Technologies of Smart Medical System, ChongQing University of Posts and Telecommunications, ChongQing 400065, China.
Biomedical Engineering Department, Key Laboratory of Photoelectronic Information Sensing and Transmitting Technology, High School Innovation Team of Architecture and Core Technologies of Smart Medical System, ChongQing University of Posts and Telecommunications, ChongQing 400065, China.
Eur J Pharm Sci. 2017 Dec 15;110:26-36. doi: 10.1016/j.ejps.2017.04.019. Epub 2017 Apr 26.
Though researchers spent a lot of effort to develop treatments for neuropsychiatric disorders, the poor translation of drug efficacy data from animals to human hampered the success of these therapeutic approaches in human. Pharmaceutical industry is challenged by low clinical success rates for new drug registration. To maximize the success in drug development, biomarkers are required to act as surrogate end points and predictors of drug effects. The pathology of brain disease could be in part due to synaptic dysfunction. Electroencephalogram (EEG), generating from the result of the postsynaptic potential discharge between cells, could be a potential measure to bridge the gaps between animal and human data. Here we discuss recent progress on using relevant EEG characteristics and brain connectomics as biomarkers to monitor drug effects and measure cognitive changes on animal models and human in real-time. It is expected that the novel approach, i.e. EEG connectomics, will offer a deeper understanding on the drug efficacy at a microcirculatory level, which will be useful to support the development of new treatments for neuropsychiatric disorders.
尽管研究人员在开发神经精神疾病治疗方法方面付出了大量努力，但药物疗效数据从动物到人类的翻译不佳阻碍了这些治疗方法在人类中的成功。制药行业面临着新药注册临床成功率低的挑战。为了最大限度地提高药物开发的成功率，需要生物标志物作为替代终点和药物效果的预测指标。脑部疾病的病理学部分可能是由于突触功能障碍。脑电图（EEG）是由细胞间突触后电位放电产生的，它可能是一种潜在的测量方法，可以弥合动物和人类数据之间的差距。在这里，我们讨论了使用相关的 EEG 特征和脑连接组学作为生物标志物来监测动物模型和人类中药物效应和认知变化的最新进展。预计新方法，即 EEG 连接组学，将在微循环水平上提供对药物疗效的更深入理解，这将有助于支持开发治疗神经精神疾病的新方法。
