Research Papers: Gerotarget (Focus on Aging):
Dynamic self-guiding analysis of Alzheimer’s disease
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Alexei Kurakin1 and Dale E. Bredesen1,2
1 Mary S. Easton Center for Alzheimer’s Disease Research, Department of Neurology, University of California, Los Angeles, CA, USA
2 Buck Institute for Research on Aging, Novato, CA, USA
Alexei Kurakin, email:
Dale E. Bredesen, email:
Keywords: Alzheimer’s disease, cancer, degeneration, cytoskeletal networks, cell adhesions
Received: March 25, 2015 Accepted: April 08, 2015 Published: May 20, 2015
We applied a self-guiding evolutionary algorithm to initiate the synthesis of the Alzheimer’s disease-related data and literature. A protein interaction network associated with amyloid-beta precursor protein (APP) and a seed model that treats Alzheimer’s disease as progressive dysregulation of APP-associated signaling were used as dynamic “guides” and structural “filters” in the recursive search, analysis, and assimilation of data to drive the evolution of the seed model in size, detail, and complexity. Analysis of data and literature across sub-disciplines and system-scale discovery platforms suggests a key role of dynamic cytoskeletal connectivity in the stability, plasticity, and performance of multicellular networks and architectures. Chronic impairment and/or dysregulation of cell adhesions/synapses, cytoskeletal networks, and/or reversible epithelial-to-mesenchymal-like transitions, which enable and mediate the stable and coherent yet dynamic and reconfigurable multicellular architectures, may lead to the emergence and persistence of the disordered, wound-like pockets/microenvironments of chronically disconnected cells. Such wound-like microenvironments support and are supported by pro-inflammatory, pro-secretion, de-differentiated cellular phenotypes with altered metabolism and signaling. The co-evolution of wound-like microenvironments and their inhabitants may lead to the selection and stabilization of degenerated cellular phenotypes, via acquisition of epigenetic modifications and mutations, which eventually result in degenerative disorders such as cancer and Alzheimer’s disease.
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