Department of Psychology, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.
Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA.
J Alzheimers Dis. 2020;78(1):309-320. doi: 10.3233/JAD-200444.
It is critical to identify individuals at risk for Alzheimer's disease (AD) earlier in the disease time course, such as middle age and preferably well prior to the onset of clinical symptoms, when intervention efforts may be more successful. Genome-wide association and candidate gene studies have identified single nucleotide polymorphisms (SNPs) in APOE, CLU, CR1, PICALM, and SORL1 that confer increased risk of AD.
In the current study, we investigated the associations between SNPs in these genes and resting-state functional connectivity within the default mode network (DMN), frontoparietal network (FPN), and executive control network (ECN) in healthy, non-demented middle-aged adults (age 40 -60; N = 123; 74 females).
Resting state networks of interest were identified through independent components analysis using a template-matching procedure and individual spatial maps and time courses were extracted using dual regression.
Within the posterior DMN, functional connectivity was associated with CR1 rs1408077 and CLU rs9331888 polymorphisms (p's < 0.05). FPN connectivity was associated with CR1 rs1408077, CLU rs1136000, SORL1 rs641120, and SORL1 rs689021 (p's < 0.05). Functional connectivity within the ECN was associated with the CLU rs11136000 (p < 0.05). There were no APOE- or PICALM-related differences in any of the networks investigated (p's > 0.05).
This is the first demonstration of the relationship between intrinsic network connectivity and AD risk alleles in CLU, CR1, and SORL1 in healthy, middle-aged adults. These SNPs should be considered in future investigations aimed at identifying potential preclinical biomarkers for AD.
在疾病早期,如中年,最好在出现临床症状之前,识别出患有阿尔茨海默病(AD)的高危人群至关重要,因为此时干预措施可能更有效。全基因组关联和候选基因研究已经确定了 APOE、CLU、CR1、PICALM 和 SORL1 中的单核苷酸多态性(SNP),这些 SNP 会增加 AD 的风险。
在当前的研究中,我们调查了这些基因中的 SNP 与健康、无痴呆的中年成年人(年龄 40-60 岁;N=123;74 名女性)静息状态默认模式网络(DMN)、额顶网络(FPN)和执行控制网络(ECN)内的功能连接之间的关联。
通过使用模板匹配程序的独立成分分析确定感兴趣的静息状态网络,使用双回归提取个体空间图和时间过程。
在后 DMN 中,功能连接与 CR1 rs1408077 和 CLU rs9331888 多态性相关(p<0.05)。FPN 连接与 CR1 rs1408077、CLU rs1136000、SORL1 rs641120 和 SORL1 rs689021 相关(p<0.05)。ECN 内的功能连接与 CLU rs11136000 相关(p<0.05)。在研究的任何网络中,APOE 或 PICALM 均与多态性无关(p>0.05)。
这是首次在健康中年成年人中证明 CLU、CR1 和 SORL1 中的 AD 风险等位基因与内在网络连接之间的关系。在未来针对 AD 潜在临床前生物标志物的研究中,应考虑这些 SNP。