A Model for the Development of Alzheimer's Disease

Area of Science:

• Neuroscience
• Computational Biology
• Biochemistry

Background:

• Alzheimer's disease (AD) is characterized by intracellular alkalosis and extracellular acidosis.
• The underlying causes and consequences of these pH imbalances in AD remain incompletely understood.

Purpose of the Study:

• To computationally analyze and model transcriptomic data from AD tissues.
• To elucidate the causes and consequences of pH dysregulation in Alzheimer's disease.

Main Methods:

• Computational analysis of transcriptomic data from Alzheimer's disease tissues.
• Systems-level modeling to understand cellular pH regulation and its disruption.

Main Results:

• Chronic inflammation and altered iron/copper metabolism cause persistent mitochondrial alkalization.
• Cells activate acid-producing pathways, notably glutamine hydrolysis, leading to extracellular glutamate release and neuronal hyperexcitability.
• Impaired astrocyte bicarbonate release exacerbates extracellular acidosis, contributing to neuronal death.
• AD hallmarks like Aβ aggregates and Tau tangles initially aid pH balance but later contribute to disease progression.

Conclusions:

• A novel model explaining the development of Alzheimer's disease through a cascade of pH dysregulation.
• Highlights the interplay between inflammation, metabolism, neurotransmission, and AD pathology.
• Suggests pH imbalance as a central mechanism in Alzheimer's disease pathogenesis.