
pmid: 21864573
This paper imparts a mathematical model of multiple sclerosis (MS) that was created using Biochemical Systems Theory (BST). This method uses mechanisms and initial values from the literature to create a mathematical model of a disease. The model can then be used to test potential drug therapies and to detect possible trigger points for the disease. The focus of this MS model is mainly the action of reactive oxygen and nitrogen species (RONS), the permeability transition pore (PTP), apoptotic factors, and the eventual cell death in the oligodendrocyte. Several treatment methods were applied based on current therapies; however, one treatment, the prevention of the PTP from opening, is completely experimental and showed positive results based on this model. BST is an effective means of studying MS and can be beneficial in testing new therapy ideas.
Inflammation, Multiple Sclerosis, Cell Death, Mitochondrial Permeability Transition Pore, Models, Neurological, Apoptosis, Mitochondrial Membrane Transport Proteins, Reactive Nitrogen Species, Oligodendroglia, Oxidative Stress, Animals, Humans, Apoptosis Regulatory Proteins, Reactive Oxygen Species, Myelin Sheath, Signal Transduction
Inflammation, Multiple Sclerosis, Cell Death, Mitochondrial Permeability Transition Pore, Models, Neurological, Apoptosis, Mitochondrial Membrane Transport Proteins, Reactive Nitrogen Species, Oligodendroglia, Oxidative Stress, Animals, Humans, Apoptosis Regulatory Proteins, Reactive Oxygen Species, Myelin Sheath, Signal Transduction
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 17 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
