Odierna G Lorenzo, Sharpley Christopher F, Bitsika Vicki, Evans Ian D, Vessey Kirstan A
Brain-Behaviour Research Group, University of New England, Armidale, NSW 2351, Australia.
Neurol Int. 2025 Jun 19;17(6):96. doi: 10.3390/neurolint17060096.
Major Depression (MD) is a common disorder that has significant social and economic impacts. Approximately 30% of all MD patients are refractory to common treatments, representing a major obstacle to managing the impacts of depression. One potential explanation for the incomplete treatment efficacy in MD is a substantial divergence in the mechanisms and brain networks involved in different subtypes of the disorder. The aim of this study was to identify novel brain regional targets for MD clinical screening using a gene-informed approach. A new analysis pipeline, called "Analysis Tool for Local Association of Neuronal Transcript Expression" (ATLANTE), was generated and validated. The pipeline identifies brain regions based on the shared high expression of user-generated gene lists; in this study, the pipeline was applied to discover brain regions that may be significant to MD. Nine discrete brain regions of interest to MD were identified, including the temporal pole, anterior transverse temporal gyrus (Heschl's gyrus), olfactory tubercle, ventral tegmental area, postcentral gyrus, CA1 of the hippocampus, olfactory area, perirhinal gyrus, and posterior insular cortex. The application of network and clustering analyses identified genes of special importance, including, most notably, PRKN. This study provides two major insights. The first is that several brain regions have unique MD-associated genetic architectures, indicating a potential explanation for subtype-specific dysfunction. The second insight is that the PRKN gene, which is strongly associated with Parkinson's disease, is a key player amongst the MD-associated genes. These findings reveal novel targets for the clinical screening of depression and reinforce a mechanistic connection between MD and Parkinson's disease.
重度抑郁症(MD)是一种常见疾病,具有重大的社会和经济影响。所有MD患者中约有30%对常规治疗无效,这是应对抑郁症影响的主要障碍。MD治疗效果不完全的一个潜在原因是该疾病不同亚型所涉及的机制和脑网络存在很大差异。本研究的目的是使用基因信息方法确定用于MD临床筛查的新的脑区靶点。生成并验证了一种名为“神经元转录本表达局部关联分析工具”(ATLANTE)的新分析流程。该流程基于用户生成的基因列表的共享高表达来识别脑区;在本研究中,该流程被用于发现可能对MD具有重要意义的脑区。确定了9个与MD相关的离散脑区,包括颞极、颞横回前部(颞横回)、嗅结节、腹侧被盖区、中央后回、海马体CA1区、嗅觉区、嗅周回和岛叶后皮质。网络分析和聚类分析的应用确定了特别重要的基因,其中最显著的是PRKN。本研究提供了两个主要见解。第一个见解是,几个脑区具有独特的与MD相关的遗传结构,这为亚型特异性功能障碍提供了一种潜在解释。第二个见解是,与帕金森病密切相关的PRKN基因是与MD相关的基因中的关键因素。这些发现揭示了抑郁症临床筛查的新靶点,并加强了MD与帕金森病之间的机制联系。