A mathematical model to account for quantitative iterative effect of TNF-α positive feedback mechanism on inflammatory cascade in TLR-4 mediated TNF-α signaling pathway

Roberts, Tony and Essien, Bryan and Kotiw, Michael and Butler, Harry and Strunin, Dmitry (2008) A mathematical model to account for quantitative iterative effect of TNF-α positive feedback mechanism on inflammatory cascade in TLR-4 mediated TNF-α signaling pathway. In: 19th International Conference on Genome Informatics (GIW 2008) , 1-3 Dec 2008, Gold Coast, Australia.

Abstract

Sepsis is a complex systemic biological event that is mediated by an uncontrolled cascade of inflammatory
cytokines. Whilst endogenous mediators such as TNF-α, Interleukin 1 (IL1) and 6 (IL6) may play a beneficial role in controlling infection by localising the initial insult, uncontrolled increases of these cytokines are associated with deleterious events which may result in capillary leakage, coagulopathy and catastrophic organ failure. TNF-α is known to be a principal effecter molecule in the onset of serious inflammatory conditions and consequently an increased understanding of the biological pathways controlling the expression of this cytokine is essential for the development of appropriate therapeutic interventions. The purpose of this study was to use a system-theoretic approach to analyse the effect of TNF-α positive feedback mechanisms in response to the modulation of sTNF receptor 1 by quantitative and qualitative
modelling of putative TLR-4 mediated TNF-α signalling pathway.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Poster)
Refereed: Yes
Item Status: Live Archive
Faculty / Department / School: Historic - Faculty of Sciences - Department of Biological and Physical Sciences
Date Deposited: 01 Oct 2009 14:59
Last Modified: 15 Oct 2014 01:11
Uncontrolled Keywords: TNF-α; TNF receptors; cytokines; sepsis; mathematical modelling
Fields of Research : 11 Medical and Health Sciences > 1116 Medical Physiology > 111601 Cell Physiology
01 Mathematical Sciences > 0102 Applied Mathematics > 010202 Biological Mathematics
06 Biological Sciences > 0605 Microbiology > 060502 Infectious Agents
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970106 Expanding Knowledge in the Biological Sciences
URI: http://eprints.usq.edu.au/id/eprint/13185

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