Chang Hsin-I, Chang Yu-Tzu, Huang Chi-Wei, Huang Kuo-Lun, Hsu Jung-Lung, Hsu Shih-Wei, Tsai Shih-Jen, Chang Wen-Neng, Lee Chen-Chang, Huang Shu-Hua, Chang Chiung-Chih
Department of Neurology, Cognition and Aging Center, Institute for Translational Research in Biomedicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Division of Nephrology, Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Front Aging Neurosci. 2021 Dec 17;13:721217. doi: 10.3389/fnagi.2021.721217. eCollection 2021.
The cognitive manifestations of Alzheimer's disease (AD) are related to brain network degeneration, and genetic differences may mediate network degeneration. Several AD-susceptible loci have been reported to involve amyloid or tau cascades; however, their relationships with gray matter (GM) volume and cognitive outcomes have yet to be established. We hypothesized that single-nucleotide polymorphism genotype groups may interact with apolipoprotein E4 () status or independently exert an effect on cognitive outcomes. We also hypothesized that GM structural covariance networks (SCNs) may serve as an endophenotype of the genetic effect, which, in turn, may be related to neurobehavior test scores. Gray matter SCNs were constructed in 324 patients with AD using T1 magnetic resonance imaging with independent component analysis (ICA). We assessed the effects of 15 genetic loci (rs9349407, rs3865444, rs670139, rs744373, rs3851179, rs11136000, rs3764650, rs610932, rs6887649, rs7849530, rs4866650, rs3765728, rs34011, rs6656401, and rs597668) using additive, recessive, and dominant models on cognitive outcomes. Statistical analysis was performed to explore the independent role of each locus, interactions with status, and relationships to GM ICA network intensity score. For outcome measures, we used the Mini-Mental State Examination (MMSE), Cognitive Abilities Screening Instrument (CASI) total score, and short-term memory (STM) subscores, adjusted for the covariates of education, disease duration, and age. Clinically, the G allele showed a protective role in MMSE, CASI total, and CASI-STM scores independently or via interactions with non- status, while the A genotype group was associated with lower STM subscores independent of status. Three loci showed synergic interactions with : , and . Of the 15 meaningful ICA components, 5 SCNs (anterior and posterior hippocampus, right temporal, left thalamus, default mode network) showed relationships with general cognitive performance, in which only the and genotype groups were independently related to the hippocampus network. The genetic loci , and influenced the networks independently or in synergy. This study suggests that AD-susceptible loci may each exert clinical significance independently through interactions with status or through SCNs as an endophenotype and that this effect is associated with the cognitive outcomes.
阿尔茨海默病(AD)的认知表现与脑网络退化有关,而基因差异可能介导网络退化。据报道,几个AD易感位点涉及淀粉样蛋白或tau蛋白级联反应;然而,它们与灰质(GM)体积和认知结果之间的关系尚未确定。我们假设单核苷酸多态性基因型组可能与载脂蛋白E4()状态相互作用,或独立地对认知结果产生影响。我们还假设GM结构协方差网络(SCNs)可能作为遗传效应的内表型,而这反过来可能与神经行为测试分数相关。使用独立成分分析(ICA)的T1磁共振成像在324例AD患者中构建灰质SCNs。我们使用加性、隐性和显性模型评估了15个基因位点(rs9349407、rs3865444、rs670139、rs744373、rs3851179、rs11136000、rs3764650、rs610932、rs6887649、rs7849530、rs4866650、rs3765728、rs34011、rs6656401和rs597668)对认知结果的影响。进行统计分析以探索每个位点的独立作用、与状态的相互作用以及与GM ICA网络强度评分的关系。对于结果测量,我们使用简易精神状态检查表(MMSE)、认知能力筛查工具(CASI)总分和短期记忆(STM)子分数,并对教育程度、病程和年龄等协变量进行了调整。临床上,G等位基因在MMSE、CASI总分和CASI-STM分数方面独立地或通过与非状态的相互作用显示出保护作用,而A基因型组与较低的STM子分数相关,与状态无关。三个位点显示出与的协同相互作用:、和。在15个有意义的ICA成分中,5个SCNs(前海马和后海马、右侧颞叶、左侧丘脑、默认模式网络)显示出与一般认知表现的关系,其中只有和基因型组与海马网络独立相关。基因位点、和独立地或协同地影响这些网络。这项研究表明,AD易感位点可能各自通过与状态的相互作用或通过作为内表型SCNs独立地发挥临床意义,并且这种效应与认知结果相关。