Rampino Antonio, Marakhovskaia Aleksandra, Soares-Silva Tiago, Torretta Silvia, Veneziani Federica, Beaulieu Jean Martin
Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari "Aldo Moro", Bari, Italy.
Azienda Ospedaliero-Universitaria Consorziale Policlinico di Bari, Bari, Italy.
Front Psychiatry. 2019 Jan 9;9:702. doi: 10.3389/fpsyt.2018.00702. eCollection 2018.
Antipsychotic drugs targeting dopamine neurotransmission are still the principal mean of therapeutic intervention for schizophrenia. However, about one third of people do not respond to dopaminergic antipsychotics. Genome wide association studies (GWAS), have shown that multiple genetic factors play a role in schizophrenia pathophysiology. Most of these schizophrenia risk variants are not related to dopamine or antipsychotic drugs mechanism of action. Genetic factors have also been implicated in defining response to antipsychotic medication. In contrast to disease risk, variation of genes coding for molecular targets of antipsychotics have been associated with treatment response. Among genes implicated, those involved in dopamine signaling mediated by D2-class dopamine receptor, including itself and its molecular effectors, have been implicated as key genetic predictors of response to treatments. Studies have also reported that genetic variation in genes coding for proteins that cross-talk with DRD2 at the molecular level, such as , and are associated with response to antipsychotics. In this review we discuss the relative contribution to antipsychotic drug responsiveness of candidate genes and GWAS identified genes encoding proteins involved in dopamine responses. We also suggest that in addition of these older players, a deeper investigation of new GWAS identified schizophrenia risk genes such as can provide new prospects that are not clearly engaged in dopamine function while being targeted by dopamine-associated signaling molecules. Overall, further examination of genes proximally or distally related to signaling mechanisms engaged by medications and associated with disease risk and/or treatment responsiveness may uncover an interface between genes involved in disease causation with those affecting disease remediation. Such a nexus would provide realistic targets for therapy and further the development of genetically personalized approaches for schizophrenia.
针对多巴胺神经传递的抗精神病药物仍然是治疗精神分裂症的主要干预手段。然而,约三分之一的患者对多巴胺能抗精神病药物无反应。全基因组关联研究(GWAS)表明,多种遗传因素在精神分裂症的病理生理过程中起作用。这些精神分裂症风险变异大多与多巴胺或抗精神病药物的作用机制无关。遗传因素也与抗精神病药物治疗反应的定义有关。与疾病风险不同,编码抗精神病药物分子靶点的基因变异与治疗反应相关。在涉及的基因中,那些参与由D2类多巴胺受体介导的多巴胺信号传导的基因,包括其自身及其分子效应器,已被认为是治疗反应的关键遗传预测因子。研究还报告称,在分子水平上与DRD2相互作用的蛋白质编码基因的遗传变异,如 、 和 与抗精神病药物的反应相关。在这篇综述中,我们讨论了候选基因和GWAS鉴定的编码参与多巴胺反应的蛋白质的基因对抗精神病药物反应性的相对贡献。我们还建议,除了这些已有的相关基因外,对新的GWAS鉴定的精神分裂症风险基因,如 进行更深入的研究,可能会提供新的前景,这些基因虽然未明确参与多巴胺功能,但却受到多巴胺相关信号分子的靶向作用。总体而言,进一步研究与药物所涉及的信号机制近端或远端相关、并与疾病风险和/或治疗反应性相关的基因,可能会揭示参与疾病病因的基因与影响疾病治疗的基因之间的联系。这样的联系将为治疗提供切实可行的靶点,并推动精神分裂症基因个性化治疗方法的进一步发展。