TY - JOUR
T1 - Chemotactic signaling, microglia, and Alzheimer's disease senile plaques
T2 - Is there a connection?
AU - Luca, Magdalena
AU - Chavez-Ross, Alexandra
AU - Edelstein-Keshet, Leah
AU - Mogilner, Alex
N1 - Funding Information:
ML, LEK, and ACR were supported by the Mathematics of Information Technology and Complex Systems (MITACS) under the Networks of Centers of Excellence program (Canada), and by a NSERC (Canada) research grant held by LEK. Derivation of parameter values was supported by In Silico Biosciences (R. Carr, President). AM is supported by a UCD Chancellor’s fellowship, NSF Award DMS-0073828 and NIH GLUE grant ‘Cell Migration Consortium’ NIGMS U54 GM64346. The authors are grateful to Bob Russell (SFU) and Ricardo Carretero (SDSU) for making their adaptive mesh software available, and for their great help and advice in running the code.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2003/7
Y1 - 2003/7
N2 - Chemotactic cells known as microglia are involved in the inflammation associated with pathology in Alzheimer's disease (AD). We investigate conditions that lead to aggregation of microglia and formation of local accumulations of chemicals observed in AD senile plaques. We develop a model for chemotaxis in response to a combination of chemoattractant and chemorepellent signaling chemicals. Linear stability analysis and numerical simulations of the model predict that periodic patterns in cell and chemical distributions can evolve under local attraction, long-ranged repulsion, and other constraints on concentrations and diffusion coefficients of the chemotactic signals. Using biological parameters from the literature, we compare and discuss the applicability of this model to actual processes in AD.
AB - Chemotactic cells known as microglia are involved in the inflammation associated with pathology in Alzheimer's disease (AD). We investigate conditions that lead to aggregation of microglia and formation of local accumulations of chemicals observed in AD senile plaques. We develop a model for chemotaxis in response to a combination of chemoattractant and chemorepellent signaling chemicals. Linear stability analysis and numerical simulations of the model predict that periodic patterns in cell and chemical distributions can evolve under local attraction, long-ranged repulsion, and other constraints on concentrations and diffusion coefficients of the chemotactic signals. Using biological parameters from the literature, we compare and discuss the applicability of this model to actual processes in AD.
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U2 - 10.1016/S0092-8240(03)00030-2
DO - 10.1016/S0092-8240(03)00030-2
M3 - Article
C2 - 12875339
AN - SCOPUS:0038645352
SN - 0092-8240
VL - 65
SP - 693
EP - 730
JO - Bulletin of Mathematical Biology
JF - Bulletin of Mathematical Biology
IS - 4
ER -