Literature DB >> 11453467

Pro-inflammatory--anti-inflammatory cytokine dynamics mediated by cytokine-receptor dynamics in monocytes.

R M Seymour1, B Henderson.   

Abstract

Many of the major human diseases, both infectious (septic shock syndromes) and idiopathic (for example, rheumatoid arthritis), are driven by the production of the pro-inflammatory cytokines interleukin-1 (IL-1) and tumour necrosis factor-alpha (TNF-alpha) produced by monocytes and macrophages. These key pro-inflammatory cytokines can, in turn, stimulate the production of additional cytokines which, in totality, generate tissue pathology. A major deactivator of activated, cytokine-producing monocytes and macrophages is the anti-inflammatory cytokine interleukin-10 (IL-10). It is known that the interactions between these three cytokines are pivotal in terms of health and pathology, but almost nothing is known of the dynamics of these interactions. In this study we have modelled the autocrine interactions of TNF-alpha, IL-1 and IL-10 with monocytes. The model constructed is a six-dimensional, continuous-time dynamical system, with free IL-1 and IL- 10 concentrations in the cell's vicinity, and the proportions of bound and free IL-1 and IL-10 cell-surface receptors, which transduce the cell's response to stimulation, as the state variables. The monocyte is assumed to be initially in a quiescent state, and it is stimulated to produce IL-1 by an external stimulus (e.g. exposure to TNF-alpha or lipopolysaccharide, LPS). This in turn invokes an autocrine IL-1 response, and also induces the production of the anti-inflammatory cytokine IL-10, which acts to downregulate IL-1 production. These responses are mediated by specific cell-surface receptors, the concentrations of which may also be subject to stimulated upregulation. We analyse a reduced, four-dimensional version of the model, and explore its asymptotic states. We find a variety of possible outcomes: runaway IL-1 production, multiple stable equilibria, stable limit cycles, and, exceptionally, quasi-periodic behaviour. These behaviours depend crucially on the form of the cell's response functions. The possible biological implications of these phenomena are discussed.

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Year:  2001        PMID: 11453467

Source DB:  PubMed          Journal:  IMA J Math Appl Med Biol        ISSN: 0265-0746


  10 in total

1.  Local and systemic pro-inflammatory and anti-inflammatory cytokine patterns in patients with chronic subdural hematoma: a prospective study.

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Journal:  Inflamm Res       Date:  2012-04-19       Impact factor: 4.575

Review 2.  The role of AUF1 in regulated mRNA decay.

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Journal:  Wiley Interdiscip Rev RNA       Date:  2010 Nov-Dec       Impact factor: 9.957

3.  The role of HCA2 (GPR109A) in regulating macrophage function.

Authors:  Kambiz Zandi-Nejad; Ayumi Takakura; Mollie Jurewicz; Anil K Chandraker; Stefan Offermanns; David Mount; Reza Abdi
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5.  Local elevation of the anti-inflammatory interleukin-10 in the pathogenesis of chronic subdural hematoma.

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6.  Monocyte cytokine synthesis in response to extracellular cell stress proteins suggests these proteins exhibit network behaviour.

Authors:  Frank Kaiser; Andrew Steptoe; Stephen Thompson; Brian Henderson
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7.  Mathematical modelling of cytokines, MMPs and fibronectin fragments in osteoarthritic cartilage.

Authors:  Michelle Baker; Bindi S Brook; Markus R Owen
Journal:  J Math Biol       Date:  2017-02-17       Impact factor: 2.259

Review 8.  Pathophysiology of chronic subdural haematoma: inflammation, angiogenesis and implications for pharmacotherapy.

Authors:  Ellie Edlmann; Susan Giorgi-Coll; Peter C Whitfield; Keri L H Carpenter; Peter J Hutchinson
Journal:  J Neuroinflammation       Date:  2017-05-30       Impact factor: 8.322

9.  Quantification of Cytokine Storms During Virus Infections.

Authors:  Shu Yuan; Si-Cong Jiang; Zhong-Wei Zhang; Yu-Fan Fu; Jing Hu; Zi-Lin Li
Journal:  Front Immunol       Date:  2021-05-17       Impact factor: 7.561

10.  Decreased severity of collagen antibody and lipopolysaccharide-induced arthritis in human IL-32β overexpressed transgenic mice.

Authors:  Mi Hee Park; Do-Young Yoon; Jung Ok Ban; Dae Hwan Kim; Dong Hun Lee; Sukgil Song; Youngsoo Kim; Sang-Bae Han; Hee Pom Lee; Jin Tae Hong
Journal:  Oncotarget       Date:  2015-11-17
  10 in total

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