Analysis of Age-Dependent Alterations in Excitability Properties of CA1 Pyramidal Neurons in an APPPS1 Model of Alzheimer's Disease.

Autor: Vitale P; Institute of Biophysics, National Research Council, Palermo, Italy., Salgueiro-Pereira AR; Université Côte d'Azur, CNRS, IPMC, Valbonne, France., Lupascu CA; Institute of Biophysics, National Research Council, Palermo, Italy., Willem M; Biomedical Center, Ludwig Maximilian University of Munich, Munich, Germany., Migliore R; Institute of Biophysics, National Research Council, Palermo, Italy., Migliore M; Institute of Biophysics, National Research Council, Palermo, Italy., Marie H; Université Côte d'Azur, CNRS, IPMC, Valbonne, France.
Jazyk: angličtina
Zdroj: Frontiers in aging neuroscience [Front Aging Neurosci] 2021 Jun 11; Vol. 13, pp. 668948. Date of Electronic Publication: 2021 Jun 11 (Print Publication: 2021).
DOI: 10.3389/fnagi.2021.668948
Abstrakt: Age-dependent accumulation of amyloid-β, provoking increasing brain amyloidopathy, triggers abnormal patterns of neuron activity and circuit synchronization in Alzheimer's disease (AD) as observed in human AD patients and AD mouse models. Recent studies on AD mouse models, mimicking this age-dependent amyloidopathy, identified alterations in CA1 neuron excitability. However, these models generally also overexpress mutated amyloid precursor protein (APP) and presenilin 1 (PS1) and there is a lack of a clear correlation of neuronal excitability alterations with progressive amyloidopathy. The active development of computational models of AD points out the need of collecting such experimental data to build a reliable disease model exhibiting AD-like disease progression. We therefore used the feature extraction tool of the Human Brain Project (HBP) Brain Simulation Platform to systematically analyze the excitability profile of CA1 pyramidal neuron in the APPPS1 mouse model. We identified specific features of neuron excitability that best correlate either with over-expression of mutated APP and PS1 or increasing Aβ amyloidopathy. Notably, we report strong alterations in membrane time constant and action potential width and weak alterations in firing behavior. Also, using a CA1 pyramidal neuron model, we evidence amyloidopathy-dependent alterations in I h . Finally, cluster analysis of these recordings showed that we could reliably assign a trace to its correct group, opening the door to a more refined, less variable analysis of AD-affected neurons. This inter-disciplinary analysis, bringing together experimentalists and modelers, helps to further unravel the neuronal mechanisms most affected by AD and to build a biologically plausible computational model of the AD brain.
Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
(Copyright © 2021 Vitale, Salgueiro-Pereira, Lupascu, Willem, Migliore, Migliore and Marie.)
Databáze: MEDLINE
Externí odkaz: