Interdepartmental Program for Neuroscience and Human Genetics Department, UCLA, 2309 Gonda Bldg, 695 Charles E Young Dr. South, Los Angeles, CA 90095-1761, USA.
Department of Pathology, Oregon Health & Science University, Department of Pathology L113, Portland, OR 97239, USA.
Genome Med. 2013 May 25;5(5):48. doi: 10.1186/gm452. eCollection 2013.
Transcriptional studies suggest Alzheimer's disease (AD) involves dysfunction of many cellular pathways, including synaptic transmission, cytoskeletal dynamics, energetics, and apoptosis. Despite known progression of AD pathologies, it is unclear how such striking regional vulnerability occurs, or which genes play causative roles in disease progression.
To address these issues, we performed a large-scale transcriptional analysis in the CA1 and relatively less vulnerable CA3 brain regions of individuals with advanced AD and nondemented controls. In our study, we assessed differential gene expression across region and disease status, compared our results to previous studies of similar design, and performed an unbiased co-expression analysis using weighted gene co-expression network analysis (WGCNA). Several disease genes were identified and validated using qRT-PCR.
We find disease signatures consistent with several previous microarray studies, then extend these results to show a relationship between disease status and brain region. Specifically, genes showing decreased expression with AD progression tend to show enrichment in CA3 (and vice versa), suggesting transcription levels may reflect a region's vulnerability to disease. Additionally, we find several candidate vulnerability (ABCA1, MT1H, PDK4, RHOBTB3) and protection (FAM13A1, LINGO2, UNC13C) genes based on expression patterns. Finally, we use a systems-biology approach based on WGCNA to uncover disease-relevant expression patterns for major cell types, including pathways consistent with a key role for early microglial activation in AD.
These results paint a picture of AD as a multifaceted disease involving slight transcriptional changes in many genes between regions, coupled with a systemic immune response, gliosis, and neurodegeneration. Despite this complexity, we find that a consistent picture of gene expression in AD is emerging.
转录研究表明,阿尔茨海默病(AD)涉及许多细胞途径的功能障碍,包括突触传递、细胞骨架动态、能量代谢和细胞凋亡。尽管 AD 病理学的已知进展,但尚不清楚如此明显的区域易感性是如何发生的,或者哪些基因在疾病进展中起因果作用。
为了解决这些问题,我们对患有晚期 AD 的个体和非痴呆对照者的 CA1 和相对不易受影响的 CA3 脑区进行了大规模转录分析。在我们的研究中,我们评估了跨区域和疾病状态的差异基因表达,将我们的结果与之前类似设计的研究进行了比较,并使用加权基因共表达网络分析(WGCNA)进行了无偏共表达分析。使用 qRT-PCR 验证了几个疾病基因。
我们发现与几个先前的微阵列研究一致的疾病特征,然后扩展这些结果以显示疾病状态与大脑区域之间的关系。具体来说,随着 AD 进展而表达减少的基因往往在 CA3 中富集(反之亦然),这表明转录水平可能反映了一个区域对疾病的易感性。此外,我们根据表达模式发现了几个候选易损性(ABCA1、MT1H、PDK4、RHOBTB3)和保护(FAM13A1、LINGO2、UNC13C)基因。最后,我们使用基于 WGCNA 的系统生物学方法揭示了主要细胞类型的疾病相关表达模式,包括与 AD 中早期小胶质细胞激活关键作用一致的途径。
这些结果描绘了 AD 作为一种多方面的疾病,涉及区域之间许多基因的轻微转录变化,以及系统性免疫反应、神经胶质增生和神经退行性变。尽管存在这种复杂性,但我们发现 AD 中基因表达的一致图景正在出现。