ArticlePloS one2013
Investigating interventions in Alzheimer's disease with computer simulation models.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
19 citing papers in PubMed.
- Advancing Alzheimer's Therapy: Computational strategies and treatment innovations.IBRO neuroscience reports · 2025Review
- Sensitivity analysis of a mathematical model of Alzheimer's disease progression unveils important causal pathways.Frontiers in neuroinformatics · 2025Article
- Analysis of fractal-fractional Alzheimer's disease mathematical model in sense of Caputo derivative.AIMS public health · 2024Article
- Altered synaptic plasticity at hippocampal CA1-CA3 synapses in Alzheimer's disease: integration of amyloid precursor protein intracellular domain and amyloid beta effects into computational models.Frontiers in computational neuroscience · 2023Article
- Aducanumab and Its Effects on Tau Pathology: Is This the Turning Point of Amyloid Hypothesis?International journal of molecular sciences · 2022Review
- Bridging Scales in Alzheimer's Disease: Biological Framework for Brain Simulation With The Virtual Brain.Frontiers in neuroinformatics · 2021Review
- Opportunities for multiscale computational modelling of serotonergic drug effects in Alzheimer's disease.Neuropharmacology · 2020Review
- Learning from amyloid trials in Alzheimer's disease. A virtual patient analysis using a quantitative systems pharmacology approach.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2020Article
- When Does Alzheimer's Disease Really Start? The Role of Biomarkers.International journal of molecular sciences · 2019Review
- Computational modeling and biomarker studies of pharmacological treatment of Alzheimer's disease (Review).Molecular medicine reports · 2018Review
- Impact of amyloid-beta changes on cognitive outcomes in Alzheimer's disease: analysis of clinical trials using a quantitative systems pharmacology model.Alzheimer's research & therapy · 2018Article
- Mathematical Modeling of Protein Misfolding Mechanisms in Neurological Diseases: A Historical Overview.Frontiers in neurology · 2018Review
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- Amyloid-β and tau complexity - towards improved biomarkers and targeted therapies.Nature reviews. Neurology · 2018Review
- Modelling the molecular mechanisms of aging.Bioscience reports · 2017Review
- The Impact of Mathematical Modeling in Understanding the Mechanisms Underlying Neurodegeneration: Evolving Dimensions and Future Directions.CPT: pharmacometrics & systems pharmacology · 2017Review
- BioModels: Content, Features, Functionality, and Use.CPT: pharmacometrics & systems pharmacology · 2015Article
- On the central role of brain connectivity in neurodegenerative disease progression.Frontiers in aging neuroscience · 2015Review
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.