Cullell Natalia, Caruana Giovanni, Elias-Mas Andrea, Delgado-Sanchez Ariane, Artero Cristina, Buongiorno Maria Teresa, Almería Marta, Ray Nicola J, Correa Sonia A L, Krupinski Jerzy
Fundació per a Docència I Recerca, MútuaTerrassa, Terrassa, Barcelona, Spain.
Department of Neurology, F.Ass. MútuaTerrassa, Terrassa, Barcelona, Spain.
Alzheimers Res Ther. 2025 Jan 31;17(1):31. doi: 10.1186/s13195-024-01612-7.
The emerging evidence of the role of the glymphatic system (GS) in Alzheimer's disease (AD) provides new opportunities for intervention from the earliest stages of the disease. The aim of the study is to evaluate the efficacy of GS in AD to identify new disease biomarkers.
We performed a two-stage proteomic study to evaluate the GS health using intravenous gadolinium-based contrast agent (GBCA) with serial T1 3T magnetic resonance imaging (MRI) in individuals with amnestic mild cognitive impairment (aMCI). In Stage 1 (evaluated in the Cohort 1 of aMCI participants (n = 11)), we correlated the levels of 7K cerebrospinal fluid (CSF) proteins (estimated by SOMAscan) with GS health in 78 Freesurfer-segmented brain regions of interest (ROIs).
A total of seven different proteins were significantly associated with GS health (p-value < 6.4 × 10). The stronger correlations were identified for NSUN6, GRAAK, OLFML3, ACTN2, RUXF, SHPS1 and TIM-4. A pathway enrichment analysis revealed that the proteins associated with GS health were mainly implicated in neurodegenerative processes, immunity and inflammation. In Stage 2, we validated these proteomic results in a new cohort of aMCI participants (with and without evidence of AD pathology in CSF (aMCI(-) and aMCI/AD( +); n = 22 and 7, respectively) and healthy controls (n = 10). Proteomic prediction models were generated in each ROI. These were compared with demographic-only models for identifying participants with aMCI(-) and aMCI/AD( +) vs controls. This analysis was repeated to determine if the models could identify those with aMCI/AD( +) from both aMCI(-) and controls. The proteomic models were found to outperform the demographic-only models.
Our study identifies proteins linked with GS health and involved the immune system in aMCI participants.
淋巴系统(GS)在阿尔茨海默病(AD)中作用的新证据为从疾病最早阶段进行干预提供了新机会。本研究旨在评估GS在AD中的功效,以识别新的疾病生物标志物。
我们进行了一项两阶段蛋白质组学研究,使用基于钆的静脉造影剂(GBCA)和连续T1 3T磁共振成像(MRI)来评估遗忘型轻度认知障碍(aMCI)个体的GS健康状况。在第1阶段(在aMCI参与者队列1(n = 11)中进行评估),我们将7K脑脊液(CSF)蛋白质水平(通过SOMAscan估计)与78个经Freesurfer分割的脑感兴趣区域(ROI)中的GS健康状况相关联。
共有7种不同蛋白质与GS健康状况显著相关(p值<6.4×10)。NSUN6、GRAAK、OLFML3、ACTN2、RUXF、SHPS1和TIM-4的相关性更强。通路富集分析表明,与GS健康状况相关的蛋白质主要参与神经退行性过程、免疫和炎症。在第2阶段,我们在新的aMCI参与者队列(脑脊液中有和没有AD病理证据的分别为aMCI(-)和aMCI/AD(+);n分别为22和7)以及健康对照(n = 10)中验证了这些蛋白质组学结果。在每个ROI中生成了蛋白质组学预测模型。将这些模型与仅基于人口统计学的模型进行比较,以识别aMCI(-)和aMCI/AD(+)参与者与对照。重复此分析以确定模型是否可以从aMCI(-)和对照中识别出aMCI/AD(+)的参与者。发现蛋白质组学模型优于仅基于人口统计学的模型。
我们的研究识别出与aMCI参与者的GS健康状况相关且涉及免疫系统的蛋白质。