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On the Influence of Alzheimer's Disease on Interneural Communication via Extracellular Vesicles

Published: 28 October 2024 Publication History

Abstract

Alzheimer's disease (AD) is the most common type of dementia and brings many challenges for patients, caregivers, and the healthcare system. While the exact cause of AD is an open research question, early diagnosis can help to slow the progression of the disease. This work illustrates the impact of AD on a modeled neuron-to-neuron communication link based on extracellular vesicles (EVs). Specifically, it is demonstrated how two system parameters, namely sodium conductance at the cell membrane and tortuosity in the extracellular matrix of the brain, negatively affect the number of EVs arriving at the receiving neuron by inducing the decreased excitability, delay, and smoothing effect. Furthermore, the signal-to-baseline ratio (SBR) is introduced as a novel metric describing the resulting decrease in communication. Despite its limitations, the presented model potentially, after clinical validation, lays the foundation for the development of an early AD diagnosis system and contributes to the understanding of neuronal diseases.

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        cover image ACM Other conferences
        NANOCOM '24: Proceedings of the 11th Annual ACM International Conference on Nanoscale Computing and Communication
        October 2024
        147 pages
        ISBN:9798400711718
        DOI:10.1145/3686015
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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        Published: 28 October 2024

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        Author Tags

        1. Alzheimer's disease
        2. Extracellular vesicles
        3. in silico modeling

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        • Research Council of Norway

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