ArticleFrontiers in computational neuroscience2012
Progressive effect of beta amyloid peptides accumulation on CA1 pyramidal neurons: a model study suggesting possible treatments.
Article in Frontiers in computational neuroscience, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Review
- The NeuroProtect Formula: A Preventive Approach to AD Targeting the HIF-1/PI3K-AKT Signaling Pathway Evaluated throughCombinatorial chemistry & high throughput screening · 2025Article
- A realistic computational model for the formation of a Place Cell.Scientific reports · 2023Article
- 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
- Modeling Neurotransmission: Computational Tools to Investigate Neurological Disorders.International journal of molecular sciences · 2021Review
- The Human Body as a Super Network: Digital Methods to Analyze the Propagation of Aging.Frontiers in aging neuroscience · 2020Article
- Computational modeling and biomarker studies of pharmacological treatment of Alzheimer's disease (Review).Molecular medicine reports · 2018Review
- The Impact of Mathematical Modeling in Understanding the Mechanisms Underlying Neurodegeneration: Evolving Dimensions and Future Directions.CPT: pharmacometrics & systems pharmacology · 2017Review
- A Novel Form of Compensation in the Tg2576 Amyloid Mouse Model of Alzheimer's Disease.Frontiers in cellular neuroscience · 2016Article
- Altered intrinsic excitability of hippocampal CA1 pyramidal neurons in aged PDAPP mice.Frontiers in cellular neuroscience · 2015Article
- Computational modeling of the effects of amyloid-beta on release probability at hippocampal synapses.Frontiers in computational neuroscience · 2013Article
- Inhibitory neuron and hippocampal circuit dysfunction in an aged mouse model of Alzheimer's disease.PloS one · 2013Article
Corrections and comments
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Authors and funding
2 authors.
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Abstract
Several independent studies show that accumulation of β-amyloid (Aβ) peptides, one of the characteristic hallmark of Alzheimer's Disease (AD), can affect normal neuronal activity in different ways. However, in spite of intense experimental work to explain the possible underlying mechanisms of action, a comprehensive and congruent understanding is still lacking. Part of the problem might be the opposite ways in which Aβ have been experimentally found to affect the normal activity of a neuron; for example, making a neuron more excitable (by reducing the A- or DR-type K(+) currents) or less excitable (by reducing synaptic transmission and Na(+) current). The overall picture is therefore confusing, since the interplay of many mechanisms makes it difficult to link individual experimental findings with the more general problem of understanding the progression of the disease. This is an important issue, especially for the development of new drugs trying to ameliorate the effects of the disease. We addressed these paradoxes through computational models. We first modeled the different stages of AD by progressively modifying the intrinsic membrane and synaptic properties of a realistic model neuron, while accounting for multiple and different experimental findings and by evaluating the contribution of each mechanism to the overall modulation of the cell's excitability. We then tested a number of manipulations of channel and synaptic activation properties that could compensate for the effects of Aβ. The model predicts possible therapeutic treatments in terms of pharmacological manipulations of channels' kinetic and activation properties. The results also suggest how and which mechanisms can be targeted by a drug to restore the original firing conditions.
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