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Modeling the NF-κB mediated inflammatory response predicts cytokine waves in tissue
- Source :
- Yde, P, Mengel, A B, Jensen, M H, Krishna, S & Trusina, A 2011, ' Modeling the NF-kappa B mediated inflammatory response predicts cytokine waves in tissue ', BMC Systems Biology, vol. 5, pp. 115 . https://doi.org/10.1186/1752-0509-5-115, BMC Systems Biology, Vol 5, Iss 1, p 115 (2011), BMC Systems Biology
- Publication Year :
- 2011
- Publisher :
- Springer Science and Business Media LLC, 2011.
-
Abstract
- Background Waves propagating in "excitable media" is a reliable way to transmit signals in space. A fascinating example where living cells comprise such a medium is Dictyostelium D. which propagates waves of chemoattractant to attract distant cells. While neutrophils chemotax in a similar fashion as Dictyostelium D., it is unclear if chemoattractant waves exist in mammalian tissues and what mechanisms could propagate them. Results We propose that chemoattractant cytokine waves may naturally develop as a result of NF-κ B response. Using a heuristic mathematical model of NF-κ B-like circuits coupled in space we show that the known characteristics of NF-κ B response favor cytokine waves. Conclusions While the propagating wave of cytokines is generally beneficial for inflammation resolution, our model predicts that there exist special conditions that can cause chronic inflammation and re-occurrence of acute inflammatory response.
- Subjects :
- medicine.medical_treatment
Systems biology
Inflammation
Models, Biological
chemistry.chemical_compound
Recurrence
Structural Biology
Modelling and Simulation
medicine
lcsh:QH301-705.5
Molecular Biology
Feedback, Physiological
biology
Applied Mathematics
NF-kappa B
Chemotaxis
NF-κB
biology.organism_classification
NFKB1
Dictyostelium
Computer Science Applications
Cell biology
Cytokine
lcsh:Biology (General)
chemistry
Modeling and Simulation
Acute Disease
Chronic Disease
Immunology
Cytokines
Signal transduction
medicine.symptom
Research Article
Half-Life
Signal Transduction
Subjects
Details
- ISSN :
- 17520509
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- BMC Systems Biology
- Accession number :
- edsair.doi.dedup.....b00138b0e5472d6114b8edcd47f010cb
- Full Text :
- https://doi.org/10.1186/1752-0509-5-115