Dark Heather E, Shafer Andrea T, Cordon Jenifer, An Yang, Lewis Alexandria, Moghekar Abhay, Landman Bennett, Resnick Susan M, Walker Keenan A
Laboratory of Behavioral Neuroscience, National Institute on Aging, Bethesda, MD.
Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD; and.
Neurology. 2025 Feb 25;104(4):e210271. doi: 10.1212/WNL.0000000000210271. Epub 2025 Jan 31.
Alzheimer disease (AD) is defined by cortical β-amyloid (Aβ), tau, and neurodegeneration, which contribute to cognitive decline, in part, by altering large-scale functional brain networks. While cortical Aβ and tau have been associated with changes in functional brain connectivity, it is unknown whether plasma biomarkers relate to such changes. In a healthy community sample of cognitively unimpaired adults free from major CNS disease from the Baltimore Longitudinal Study of Aging, we examined whether plasma biomarkers of AD pathology (Aβ, phosphorylated tau [pTau-181]), astrogliosis (glial fibrillary acidic protein [GFAP]), and neuronal injury (neurofilament light chain [NfL]) were associated with longitudinal changes in functional connectivity and whether changes in functional connectivity were related to longitudinal cognition.
Plasma biomarkers were measured using the Quanterix SIMOA assays. Intranetwork connectivity (3T resting-state fMRI) from 7 functional networks was derived using a predefined cortical parcellation mask for each participant visit. Cognitive performance was assessed concurrently with fMRI scan. Covariate-adjusted linear mixed-effect models were used to determine (1) whether plasma biomarkers were associated with longitudinal changes in connectivity, (2) whether the magnitude of the biomarker-connectivity relationships differed by amyloid status, and (3) whether changes in connectivity co-occurred with longitudinal changes in cognition.
Our primary findings (n = 486; age = 65.5 ± 16.2 years; 54% female; mean follow-up time = 4.3 ± 1.7 years) showed that higher baseline GFAP was associated with faster declines in somatomotor (β = -0.04, = 0.01, 95% CI -0.06 to -0.01), limbic (β = -0.03, = 0.02, 95% CI -0.06 to -0.005), and frontoparietal (β = -0.04, = 0.02, 95% CI -0.07 to -0.01) network connectivity. Amyloid status moderated several biomarker-connectivity associations. For instance, higher baseline NfL was related to faster declines in visual and limbic network connectivity, but only among amyloid-positive participants. Among 421 participants with ≥2 fMRI visits (age = 71.7 ± 11.4 years; 55% female; follow-up time = 3.9 ± 1.6 years), longitudinal changes in connectivity were associated with concurrent declines in cognition; however, these results did not survive multiple comparison correction.
Among cognitively unimpaired participants, plasma biomarkers of amyloidosis, astrogliosis, and neuronal injury are associated with declines in network connectivity, particularly among amyloid-positive participants. Major limitations include the lack of inclusion of the sensitive pTau-217 and pTau-231 isoforms and comparative PET biomarkers.
阿尔茨海默病(AD)由皮质β-淀粉样蛋白(Aβ)、tau蛋白和神经退行性变所定义,这些因素部分通过改变大规模功能性脑网络导致认知能力下降。虽然皮质Aβ和tau蛋白与功能性脑连接的变化有关,但尚不清楚血浆生物标志物是否与这些变化相关。在巴尔的摩纵向衰老研究中一个无重大中枢神经系统疾病的认知未受损成年人的健康社区样本中,我们研究了AD病理学的血浆生物标志物(Aβ、磷酸化tau蛋白[pTau-181])、星形胶质细胞增生(胶质纤维酸性蛋白[GFAP])和神经元损伤(神经丝轻链[NfL])是否与功能性连接的纵向变化相关,以及功能性连接的变化是否与纵向认知相关。
使用Quanterix SIMOA检测法测量血浆生物标志物。对于每次参与者访视,使用预定义的皮质分区掩码从7个功能网络中得出网络内连接性(3T静息态功能磁共振成像)。在进行功能磁共振成像扫描的同时评估认知表现。使用协变量调整的线性混合效应模型来确定:(1)血浆生物标志物是否与连接性的纵向变化相关;(2)生物标志物-连接性关系的大小是否因淀粉样蛋白状态而异;(3)连接性的变化是否与认知的纵向变化同时发生。
我们的主要研究结果(n = 486;年龄 = 65.5 ± 16.2岁;54%为女性;平均随访时间 = 4.3 ± 1.7年)表明,较高的基线GFAP与躯体运动网络(β = -0.04,P = 0.