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通过病理生理活动解码器揭示β-淀粉样蛋白(Aβ)和tau蛋白在阿尔茨海默病中的联合作用。

Revealing the combined roles of Aβ and tau in Alzheimer's disease via a pathophysiological activity decoder.

作者信息

Sanchez-Rodriguez Lazaro M, Bezgin Gleb, Carbonell Felix, Therriault Joseph, Fernandez-Arias Jaime, Servaes Stijn, Rahmouni Nesrine, Tissot Cecile, Stevenson Jenna, Karikari Thomas K, Ashton Nicholas J, Benedet Andréa L, Zetterberg Henrik, Blennow Kaj, Triana-Baltzer Gallen, Kolb Hartmuth C, Rosa-Neto Pedro, Iturria-Medina Yasser

机构信息

Department of Neurology and Neurosurgery, McGill University, Montreal, Canada.

McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, Canada.

出版信息

bioRxiv. 2023 Jul 20:2023.02.21.529377. doi: 10.1101/2023.02.21.529377.

Abstract

Neuronal dysfunction and cognitive deterioration in Alzheimer's disease (AD) are likely caused by multiple pathophysiological factors. However, evidence in humans remains scarce, necessitating improved non-invasive techniques and integrative mechanistic models. Here, we introduce personalized brain activity models incorporating functional MRI, amyloid-β (Aβ) and tau-PET from AD-related participants . Within the model assumptions, electrophysiological activity is mediated by toxic protein deposition. Our integrative subject-specific approach uncovers key patho-mechanistic interactions, including synergistic Aβ and tau effects on cognitive impairment and neuronal excitability increases with disease progression. The data-derived neuronal excitability values strongly predict clinically relevant AD plasma biomarker concentrations (p-tau217, p-tau231, p-tau181, GFAP). Furthermore, our results reproduce hallmark AD electrophysiological alterations (theta band activity enhancement and alpha reductions) which occur with Aβ-positivity and after limbic tau involvement. Microglial activation influences on neuronal activity are less definitive, potentially due to neuroimaging limitations in mapping neuroprotective vs detrimental phenotypes. Mechanistic brain activity models can further clarify intricate neurodegenerative processes and accelerate preventive/treatment interventions.

摘要

阿尔茨海默病(AD)中的神经元功能障碍和认知衰退可能由多种病理生理因素引起。然而,人类方面的证据仍然匮乏,因此需要改进非侵入性技术和综合机制模型。在此,我们引入了个性化大脑活动模型,该模型整合了来自AD相关参与者的功能磁共振成像(fMRI)、淀粉样β蛋白(Aβ)和tau蛋白正电子发射断层扫描(PET)数据。在模型假设中,电生理活动由有毒蛋白质沉积介导。我们的综合个体特异性方法揭示了关键的病理机制相互作用,包括Aβ和tau对认知障碍的协同作用,以及随着疾病进展神经元兴奋性增加。从数据得出的神经元兴奋性值能强烈预测临床上相关的AD血浆生物标志物浓度(磷酸化tau217、磷酸化tau231、磷酸化tau181、胶质纤维酸性蛋白)。此外,我们的结果重现了AD标志性的电生理改变(θ波段活动增强和α波段活动减弱),这些改变在Aβ呈阳性以及边缘系统出现tau病变后发生。小胶质细胞激活对神经元活动的影响不太明确,这可能是由于在绘制神经保护与有害表型时存在神经影像学限制。机制性大脑活动模型可以进一步阐明复杂的神经退行性过程,并加速预防/治疗干预。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4afa/10370127/5a119a18aebc/nihpp-2023.02.21.529377v2-f0001.jpg

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