Department of Psychiatry and Psychotherapy, Kutvolgyi Clinical Centre, Semmelweis University, Budapest, Hungary; NAP-2-SE New Antidepressant Target Research Group, Hungarian Brain Research Program, Semmelweis University, Budapest, Hungary; MTA-SE Neuropsychopharmacology and Neurochemistry Research Group, Hungarian Academy of Sciences, Semmelweis University, Budapest, Hungary.
MTA-SE Neuropsychopharmacology and Neurochemistry Research Group, Hungarian Academy of Sciences, Semmelweis University, Budapest, Hungary; Department of Pharmacodynamics, Faculty of Pharmacy, Semmelweis University, Budapest, Hungary.
Pharmacol Ther. 2019 Feb;194:22-43. doi: 10.1016/j.pharmthera.2018.09.002. Epub 2018 Sep 4.
In spite of promising preclinical results there is a decreasing number of new registered medications in major depression. The main reason behind this fact is the lack of confirmation in clinical studies for the assumed, and in animals confirmed, therapeutic results. This suggests low predictive value of animal studies for central nervous system disorders. One solution for identifying new possible targets is the application of genetics and genomics, which may pinpoint new targets based on the effect of genetic variants in humans. The present review summarizes such research focusing on depression and its therapy. The inconsistency between most genetic studies in depression suggests, first of all, a significant role of environmental stress. Furthermore, effect of individual genes and polymorphisms is weak, therefore gene x gene interactions or complete biochemical pathways should be analyzed. Even genes encoding target proteins of currently used antidepressants remain non-significant in genome-wide case control investigations suggesting no main effect in depression, but rather an interaction with stress. The few significant genes in GWASs are related to neurogenesis, neuronal synapse, cell contact and DNA transcription and as being nonspecific for depression are difficult to harvest pharmacologically. Most candidate genes in replicable gene x environment interactions, on the other hand, are connected to the regulation of stress and the HPA axis and thus could serve as drug targets for depression subgroups characterized by stress-sensitivity and anxiety while other risk polymorphisms such as those related to prominent cognitive symptoms in depression may help to identify additional subgroups and their distinct treatment. Until these new targets find their way into therapy, the optimization of current medications can be approached by pharmacogenomics, where metabolizing enzyme polymorphisms remain prominent determinants of therapeutic success.
尽管有很有前景的临床前研究结果,但在重度抑郁症的新药注册数量却在减少。造成这种情况的主要原因是,在临床试验中缺乏对假设的治疗效果的证实,而这些效果在动物身上已经得到证实。这表明动物研究对中枢神经系统疾病的预测价值较低。确定新的可能靶点的一种方法是应用遗传学和基因组学,它可以根据人类遗传变异的影响确定新的靶点。本综述总结了针对抑郁症及其治疗的此类研究。大多数关于抑郁症的遗传学研究结果不一致,这首先表明环境压力起着重要作用。此外,个体基因和多态性的作用较弱,因此应该分析基因 x 基因相互作用或完整的生化途径。即使是目前使用的抗抑郁药的靶蛋白的编码基因在全基因组病例对照研究中也没有显著意义,这表明它们在抑郁症中没有主要作用,而是与压力相互作用。GWAS 中少数显著的基因与神经发生、神经元突触、细胞接触和 DNA 转录有关,由于它们对抑郁症没有特异性,因此在药理学上很难收获。另一方面,在可复制的基因 x 环境相互作用中,大多数候选基因与应激和 HPA 轴的调节有关,因此可以作为以应激敏感性和焦虑为特征的抑郁症亚组的药物靶点,而其他风险多态性,如与抑郁症中突出认知症状相关的多态性,可能有助于识别其他亚组及其独特的治疗方法。在这些新的靶点找到进入治疗的途径之前,可以通过药物基因组学来优化现有的药物治疗,其中代谢酶多态性仍然是治疗成功的主要决定因素。