Genetics pathway-based imaging approaches in Chinese Han population with Alzheimer's disease risk
Genetics pathway-based imaging approaches in Chinese Han population with Alzheimer's disease risk
复制标题
基于遗传途径的成像方法在具有阿尔茨海默病风险的中国汉族人群中的应用
DOI：
10.1007/s00429-014-0916-4
复制
发表时间：
2016-01-01
影响因子：
3.1
通讯作者：
Zhang, Zhijun
中科院分区：
文献类型：
--
作者：
Bai, Feng;Liao, Wei;Zhang, Zhijun
关于阿尔茨海默病（AD）的病理生理学，已经提出了tau假说。轻度认知功能障碍（MCI）与发展AD的高风险相关。然而，没有研究直接研究MCI人群中基于tau蛋白通路基因的联合作用的脑拓扑结构改变。43名MCI患者和30名健康对照者接受了中国汉族人的静息状态功能磁共振成像（fMRI），并使用基于tau蛋白通路的成像方法（7个候选基因：17个SNP）来研究大脑的变化与MCI相关的激活的拓扑组织。受损的区域激活与MCI患者中的tau蛋白通路基因（5/7个候选基因）相关，并且可能与基因相关的拓扑会聚和发散功能改变模式相关，并且tau蛋白通路基因的联合作用破坏皮质-小脑环的拓扑结构。环和行为之间的关联进一步表明，tau蛋白通路基因在非情景记忆障碍中发挥重要作用。基于Tau通路的成像方法可能会加强成像遗传关联的可信度，并生成通路框架，这些框架可能会为MCI的神经机制提供强大的新见解。
The tau hypothesis has been raised with regard to the pathophysiology of Alzheimer's disease (AD). Mild cognitive impairment (MCI) is associated with a high risk for developing AD. However, no study has directly examined the brain topological alterations based on combined effects of tau protein pathway genes in MCI population. Forty-three patients with MCI and 30 healthy controls underwent resting-state functional magnetic resonance imaging (fMRI) in Chinese Han, and a tau protein pathway-based imaging approaches (7 candidate genes: 17 SNPs) were used to investigate changes in the topological organisation of brain activation associated with MCI. Impaired regional activation is related to tau protein pathway genes (5/7 candidate genes) in patients with MCI and likely in topologically convergent and divergent functional alterations patterns associated with genes, and combined effects of tau protein pathway genes disrupt the topological architecture of cortico-cerebellar loops. The associations between the loops and behaviours further suggest that tau protein pathway genes do play a significant role in non-episodic memory impairment. Tau pathway-based imaging approaches might strengthen the credibility in imaging genetic associations and generate pathway frameworks that might provide powerful new insights into the neural mechanisms that underlie MCI.