Dzianok Patrycja, Wojciechowski Jakub, Wolak Tomasz, Kublik Ewa
Laboratory of Emotions Neurobiology, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland.
Bioimaging Research Center, Institute of Physiology and Pathology of Hearing, Warsaw, Poland.
J Alzheimers Dis. 2025 Mar;104(2):509-524. doi: 10.1177/13872877251317489. Epub 2025 Mar 17.
BackgroundGenetic susceptibility is a primary factor contributing to etiology of late-onset Alzheimer's disease (LOAD). The exact mechanisms and timeline through which / influence brain functions and contribute to LOAD remain unidentified. This includes their effects on individuals prior to the development of the disease.ObjectiveTo investigate the effects of and risk genes on brain health and function in non-demented individuals. This study aims to differentiate the combined risk effects of both genes from the risk associated solely with , and to examine how alleles influence the risk linked to .Methods/ alleles were assessed to determine the genetic risk of LOAD in 79 healthy, middle-aged participants who underwent electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) recordings. The resting-state signal was analyzed to estimate relative spectral power, complexity (Higuchi's algorithm), and connectivity (coherence in EEG and independent component analysis-based connectivity in fMRI).ResultsThe main findings indicated that individuals at risk for LOAD exhibited reduced signal complexity and the so-called "slowing of EEG" which are well-known EEG markers of Alzheimer's disease. Additionally, these individuals showed altered functional connectivity in fMRI (within attention-related areas).ConclusionsRisk alleles of may affect brain integrity and function prior to the clinical onset of the disease.
背景
遗传易感性是晚发性阿尔茨海默病(LOAD)病因的一个主要因素。其影响脑功能并导致LOAD的确切机制和时间线仍不明确。这包括它们在疾病发展之前对个体的影响。
目的
研究[基因名称1]和[基因名称2]风险基因对非痴呆个体脑健康和功能的影响。本研究旨在区分这两种基因的联合风险效应与仅与[基因名称1]相关的风险,并研究[基因名称2]等位基因如何影响与[基因名称1]相关的风险。
方法
对79名健康的中年参与者进行[基因名称1]和[基因名称2]等位基因评估,以确定LOAD的遗传风险,这些参与者接受了脑电图(EEG)和功能磁共振成像(fMRI)记录。分析静息状态信号以估计相对频谱功率、复杂性( Higuchi算法)和连通性(EEG中的相干性以及fMRI中基于独立成分分析的连通性)。
结果
主要研究结果表明,LOAD风险个体表现出信号复杂性降低以及所谓的“脑电图减慢”,这是阿尔茨海默病众所周知的脑电图标志物。此外,这些个体在fMRI中显示出功能连通性改变(在与注意力相关的区域内)。
结论
[基因名称1]的风险等位基因可能在疾病临床发作之前影响脑完整性和功能。