Danish Research Institute of Translational Neuroscience (DANDRITE), Department of Biomedicine, Aarhus University, Aarhus, Denmark.
Proteomics and Biomarkers, Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany.
Adv Exp Med Biol. 2019;1118:163-173. doi: 10.1007/978-3-030-05542-4_8.
High comorbidity and complexity have precluded reliable diagnostic assessment and treatment of psychiatric disorders. Impaired molecular interactions may be relevant for underlying mechanisms of psychiatric disorders but by and large remain unknown. With the help of a number of publicly available databases and various technological tools, recent research has filled the paucity of information by generating a novel dataset of psychiatric interactomes. Different technological platforms including yeast two-hybrid screen, co-immunoprecipitation-coupled with mass spectrometry-based proteomics, and transcriptomics have been widely used in combination with cellular and molecular techniques to interrogate the psychiatric interactome. Novel molecular interactions have been identified in association with different psychiatric disorders including autism spectrum disorders, schizophrenia, bipolar disorder, and major depressive disorder. However, more extensive and sophisticated interactome research needs to be conducted to overcome the current limitations such as incomplete interactome databases and a lack of functional information among components. Ultimately, integrated psychiatric interactome databases will contribute to the implementation of biomarkers and therapeutic intervention.
精神疾病的高共病性和复杂性使得可靠的诊断评估和治疗变得困难。分子相互作用的损伤可能与精神疾病的潜在机制有关，但总体上仍不清楚。借助一些公开的数据库和各种技术工具，最近的研究通过生成一个新的精神疾病相互作用组数据集填补了信息的不足。不同的技术平台，包括酵母双杂交筛选、与基于质谱的蛋白质组学相结合的免疫共沉淀，以及转录组学，已与细胞和分子技术广泛结合，用于研究精神疾病的相互作用组。已经鉴定出与自闭症谱系障碍、精神分裂症、双相情感障碍和重度抑郁症等不同精神疾病相关的新型分子相互作用。然而，需要进行更广泛和复杂的相互作用组研究，以克服当前的局限性，如不完整的相互作用组数据库和组件之间缺乏功能信息。最终，综合的精神疾病相互作用组数据库将有助于实现生物标志物和治疗干预。
