Viral vectors as a novel tool for clinical and neuropsychiatric research applications
Viral vectors as a novel tool for clinical and neuropsychiatric research applications
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病毒载体作为临床和神经精神病学研究应用的新工具
DOI：
10.1136/gpsych-2018-000015
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发表时间：
2018-11-01
影响因子：
11.9
通讯作者：
Chen, Jinghong
中科院分区：
文献类型：
--
作者：
Wang, Yao;Hu, Zhiwei;Chen, Jinghong
背景病毒载体是通过基因工程产生的遗传修饰载体。由于病毒中的致病基因被完全或大部分消除，因此可以安全地广泛应用于表达基因的多学科研究领域，如神经科学、代谢、肿瘤学等，无论是基础研究还是临床研究，神经科学和精神病学都是最密切相关的学科，但病毒载体在神经精神病学中的应用尚未受到重视或被广泛接受。目的综述病毒载体在神经精神病学基础和临床研究中的应用。方法利用病毒载体，科学家可以进行神经标记、基因表达调控和生理操作，以研究从分子机制到行为的现象。与此同时，为了治疗精神或神经系统疾病，可以设计用于基因治疗的病毒载体，其改变基因表达水平或修复患者大脑中的突变基因。展望病毒载体在基础研究和临床应用中发挥着重要作用。为了进一步了解大脑功能并预防精神和神经疾病，我们假设病毒载体可以与各种先进技术沿着使用，例如神经科学研究领域的测序和高通量表达分析。
Background A viral vector is a genetically modified vector produced by genetic engineering. As pathogenic genes in the virus are completely or largely eliminated, it is safe to be widely used in multidisciplinary research fields for expressing genes, such as neuroscience, metabolism, oncology and so on. Neuroscience and psychiatry are the most closely related disciplines in either basic research or clinical research, but the application of viral vectors in neuropsychiatry has not received much attention or not been widely accepted. Objective This article will focus on the application of viral vectors in basic and clinical neuropsychiatric research. Methods By using viral vectors, scientists can perform neurological labelling, gene expression regulation and physiological manipulation for investigating phenomenon from molecular mechanisms to behaviours. At the same time, to treat mental or neurological disorders, viral vectors can be designed for gene therapy, which alter gene expression levels or repair mutated genes in the brains of patients. Perspective Viral vectors play an important role in basic research and clinical applications. To further understand brain function and prevent mental and neurological diseases, we hypothesize that viral vectors could be used along with various advanced technologies, such as sequencing and high-throughput expression analysis in the neuroscience research field.