ArticleImmunology2008
A simple immune system simulation reveals optimal movement and cell density parameters for successful target clearance.
Article in Immunology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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
3 citing papers in PubMed.
- A multiepitope vaccine candidate against infectious bursal disease virus using immunoinformatics-based reverse vaccinology approach.Frontiers in veterinary science · 2022Article
- ImmunoGlobe: enabling systems immunology with a manually curated intercellular immune interaction network.BMC bioinformatics · 2020Article
- Shigella impairs T lymphocyte dynamics in vivo.Proceedings of the National Academy of Sciences of the United States of America · 2013Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We report here a simple simulation of the immune system in which we analysed the behaviour of responder cells in the presence of target cells. Variable parameters determined the behaviour of the cells within the simulation, and many simulations using the same parameters ensured that statistical variability was achieved. The model demonstrated that high mobility of the target or responder cells produced a more robust response, and that clearance by the immune system was favoured when effector cells moved rapidly compared with the target cells. Therefore, the high motility coefficients exhibited by T cells studied in vivo may play a role in optimizing the effector response to pathogens. Surprisingly, when the number density of responding cells was increased, target cell numbers were limited more effectively, but there was an increased likelihood of a prolonged response.
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