Multi-compartmental modeling of SORLA’s influence on amyloidogenic processing in Alzheimer’s disease
College
College of Science
Department/Unit
Mathematics and Statistics Department
Document Type
Article
Source Title
BMC Systems Biology
Volume
6
Issue
74
Publication Date
2012
Abstract
Proteolytic breakdown of the amyloid precursor protein (APP) by secretases is a complex cellular process that results in formation of neurotoxic Aβ peptides, causative of neurodegeneration in Alzheimer’s disease (AD). Processing involves monomeric and dimeric forms of APP that traffic through distinct cellular compartments where the various secretases reside. Amyloidogenic processing is also influenced by modifiers such as sorting receptor-related protein (SORLA), an inhibitor of APP breakdown and major AD risk factor. In this study, we developed a multi-compartment model to simulate the complexity of APP processing in neurons and to accurately describe the effects of SORLA on these processes. Based on dose–response data, our study concludes that SORLA specifically impairs processing of APP dimers, the preferred secretase substrate. In addition, SORLA alters the dynamic behavior of β-secretase, the enzyme responsible for the initial step in the amyloidogenic processing cascade. Our multi-compartment model represents a major conceptual advance over single-compartment models previously used to simulate APP processing; and it identified APP dimers and β-secretase as the two distinct targets of the inhibitory action of SORLA in Alzheimer's disease.
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Recommended Citation
Lao, A. R., Schmidt, V., Schmitz, Y., Willnow, T. E., & Wolkenhauer, O. (2012). Multi-compartmental modeling of SORLA’s influence on amyloidogenic processing in Alzheimer’s disease. BMC Systems Biology, 6 (74) Retrieved from https://animorepository.dlsu.edu.ph/faculty_research/7439
Disciplines
Mathematics
Keywords
Amyloid beta-protein precursor—Mathematical models; Alzheimer's disease
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