Investigating interventions in Alzheimer's disease with computer simulation models.

Progress in the development of therapeutic interventions to treat or slow the progression of Alzheimer's disease has been hampered by lack of efficacy and unforeseen side effects in human clinical trials. This setback highlights the need for new approaches for pre-clinical testing of possible i...

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Main Authors: Carole J Proctor, Delphine Boche, Douglas A Gray, James A R Nicoll
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0073631
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author Carole J Proctor
Delphine Boche
Douglas A Gray
James A R Nicoll
author_facet Carole J Proctor
Delphine Boche
Douglas A Gray
James A R Nicoll
author_sort Carole J Proctor
collection DOAJ
description Progress in the development of therapeutic interventions to treat or slow the progression of Alzheimer's disease has been hampered by lack of efficacy and unforeseen side effects in human clinical trials. This setback highlights the need for new approaches for pre-clinical testing of possible interventions. Systems modelling is becoming increasingly recognised as a valuable tool for investigating molecular and cellular mechanisms involved in ageing and age-related diseases. However, there is still a lack of awareness of modelling approaches in many areas of biomedical research. We previously developed a stochastic computer model to examine some of the key pathways involved in the aggregation of amyloid-beta (Aβ) and the micro-tubular binding protein tau. Here we show how we extended this model to include the main processes involved in passive and active immunisation against Aβ and then demonstrate the effects of this intervention on soluble Aβ, plaques, phosphorylated tau and tangles. The model predicts that immunisation leads to clearance of plaques but only results in small reductions in levels of soluble Aβ, phosphorylated tau and tangles. The behaviour of this model is supported by neuropathological observations in Alzheimer patients immunised against Aβ. Since, soluble Aβ, phosphorylated tau and tangles more closely correlate with cognitive decline than plaques, our model suggests that immunotherapy against Aβ may not be effective unless it is performed very early in the disease process or combined with other therapies.
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spelling doaj-art-8caadb27d5ab41cb97fdeff47d23c4c22025-08-20T02:33:11ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-0189e7363110.1371/journal.pone.0073631Investigating interventions in Alzheimer's disease with computer simulation models.Carole J ProctorDelphine BocheDouglas A GrayJames A R NicollProgress in the development of therapeutic interventions to treat or slow the progression of Alzheimer's disease has been hampered by lack of efficacy and unforeseen side effects in human clinical trials. This setback highlights the need for new approaches for pre-clinical testing of possible interventions. Systems modelling is becoming increasingly recognised as a valuable tool for investigating molecular and cellular mechanisms involved in ageing and age-related diseases. However, there is still a lack of awareness of modelling approaches in many areas of biomedical research. We previously developed a stochastic computer model to examine some of the key pathways involved in the aggregation of amyloid-beta (Aβ) and the micro-tubular binding protein tau. Here we show how we extended this model to include the main processes involved in passive and active immunisation against Aβ and then demonstrate the effects of this intervention on soluble Aβ, plaques, phosphorylated tau and tangles. The model predicts that immunisation leads to clearance of plaques but only results in small reductions in levels of soluble Aβ, phosphorylated tau and tangles. The behaviour of this model is supported by neuropathological observations in Alzheimer patients immunised against Aβ. Since, soluble Aβ, phosphorylated tau and tangles more closely correlate with cognitive decline than plaques, our model suggests that immunotherapy against Aβ may not be effective unless it is performed very early in the disease process or combined with other therapies.https://doi.org/10.1371/journal.pone.0073631
spellingShingle Carole J Proctor
Delphine Boche
Douglas A Gray
James A R Nicoll
Investigating interventions in Alzheimer's disease with computer simulation models.
PLoS ONE
title Investigating interventions in Alzheimer's disease with computer simulation models.
title_full Investigating interventions in Alzheimer's disease with computer simulation models.
title_fullStr Investigating interventions in Alzheimer's disease with computer simulation models.
title_full_unstemmed Investigating interventions in Alzheimer's disease with computer simulation models.
title_short Investigating interventions in Alzheimer's disease with computer simulation models.
title_sort investigating interventions in alzheimer s disease with computer simulation models
url https://doi.org/10.1371/journal.pone.0073631
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AT douglasagray investigatinginterventionsinalzheimersdiseasewithcomputersimulationmodels
AT jamesarnicoll investigatinginterventionsinalzheimersdiseasewithcomputersimulationmodels