Literature DB >> 12183120

Exploring the formation of Alzheimer's disease senile plaques in silico.

Leah Edelstein-keshet1, Athan Spiros.   

Abstract

An experimental simulation environment suitable for exploring the neuroinflammatory hypothesis of Alzheimer's disease (AD) has been developed. Using scientific literature, we have calculated parameters and rates and constructed an interactive model system. The simulation can be manipulated to explore competing hypotheses about AD pathology, i.e. can be used as an experimental "in silico" system. In this paper, we outline the assumptions and aspects of the model, and illustrate qualitative and quantitative findings. The interactions of amyloid beta deposits, glial cell dynamics, inflammation and secreted cytokines, and the stress, recovery, and death of neuronal tissue are investigated. The model leads to qualitative insights about relative roles of the cells and chemicals in the disease pathology.

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Year:  2002        PMID: 12183120     DOI: 10.1006/jtbi.2002.2540

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  14 in total

1.  Reaction-diffusion model of atherosclerosis development.

Authors:  N El Khatib; S Genieys; B Kazmierczak; V Volpert
Journal:  J Math Biol       Date:  2011-08-21       Impact factor: 2.259

2.  A qualitative model for aggregation and diffusion of β-amyloid in Alzheimer's disease.

Authors:  Yves Achdou; Bruno Franchi; Norina Marcello; Maria Carla Tesi
Journal:  J Math Biol       Date:  2012-09-27       Impact factor: 2.259

3.  Demyelination patterns in a mathematical model of multiple sclerosis.

Authors:  M C Lombardo; R Barresi; E Bilotta; F Gargano; P Pantano; M Sammartino
Journal:  J Math Biol       Date:  2016-12-30       Impact factor: 2.259

4.  Topological basis of epileptogenesis in a model of severe cortical trauma.

Authors:  Vladislav Volman; Terrence J Sejnowski; Maxim Bazhenov
Journal:  J Neurophysiol       Date:  2011-07-20       Impact factor: 2.714

5.  Numerical and analytical study of an atherosclerosis inflammatory disease model.

Authors:  A Hidalgo; L Tello; E F Toro
Journal:  J Math Biol       Date:  2013-05-30       Impact factor: 2.259

6.  Mathematical modeling for the pathogenesis of Alzheimer's disease.

Authors:  Ishwar K Puri; Liwu Li
Journal:  PLoS One       Date:  2010-12-14       Impact factor: 3.240

Review 7.  Amyloid pore-channel hypothesis: effect of ethanol on aggregation state using frog oocytes for an Alzheimer's disease study.

Authors:  Jorge Parodi; David Ormeño; Lenin D Ochoa-de la Paz
Journal:  BMB Rep       Date:  2015-01       Impact factor: 4.778

Review 8.  Modelling the molecular mechanisms of aging.

Authors:  Mark T Mc Auley; Alvaro Martinez Guimera; David Hodgson; Neil Mcdonald; Kathleen M Mooney; Amy E Morgan; Carole J Proctor
Journal:  Biosci Rep       Date:  2017-02-23       Impact factor: 3.840

Review 9.  The Impact of Mathematical Modeling in Understanding the Mechanisms Underlying Neurodegeneration: Evolving Dimensions and Future Directions.

Authors:  A Lloret-Villas; T M Varusai; N Juty; C Laibe; N Le NovÈre; H Hermjakob; V Chelliah
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2017-01-07

Review 10.  Mathematical Modeling of Protein Misfolding Mechanisms in Neurological Diseases: A Historical Overview.

Authors:  Felix Carbonell; Yasser Iturria-Medina; Alan C Evans
Journal:  Front Neurol       Date:  2018-02-02       Impact factor: 4.003

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