• DocumentCode
    183019
  • Title

    Qualitative modeling and analysis of the indoleamine 2,3-dioxygenase regulatory network in homeostasis and disease

  • Author

    Asghar, K. ; Ahmed, J. ; Ashraf, J. ; Ali, A. ; Janjua, H.A. ; Murad, S.

  • Author_Institution
    Atta-ur-Rehman Sch. of Appl. Biosci., Nat. Univ. of Sci. & Technol. (NUST), Islamabad, Pakistan
  • fYear
    2014
  • fDate
    19-21 Aug. 2014
  • Firstpage
    508
  • Lastpage
    512
  • Abstract
    Indoleamine 2,3-dioxygenase (IDO) has key role in immune regulation and it acts as a constituent of the inflammatory reaction allied with infection, allergic diseases, autoimmunity and cancer. IDO function as an immunosuppressive enzyme, which degrades the tryptophan into kynurenine and other downstream metabolites. Interferon gamma (IFN-γ) is a potent inducer of IDO. Transforming growth factor-beta (TGF-β) is the negative regulator of IDO. Both the TGF-β and IFN-γ have opposite effects on various cellular functions. IFN-γ and TGF-β inhibit the activity of each other through different pathways. In the pathological state when the homeostasis disturb, the impairment of IDO provides significant role in the pathogenesis of disease. The modeling of the Gene regulatory network (GRN) of IDO, IFN-γ and TGF-β using of René Thomas Formalism, help us in understanding their dynamical behaviors. We observe two types of steady states behaviors in this study. The cycle shows the homeostasis of IDO and TGF-β while IFN-γ is inactive (silent). The stable state shows the high expression levels of IFN-γ and IDO while TGF-β is silent. These findings recognized prospective novel targets for therapy in a range of clinical conditions, including, inflammation, tumor resistance and autoimmunity.
  • Keywords
    biochemistry; cancer; cellular transport; enzymes; genetics; molecular biophysics; patient treatment; tumours; GRN; IDO function; IDO impairment; IFN-γ; René Thomas Formalism; TGF-β; allergic diseases; autoimmunity; cancer; cellular functions; clinical conditions; disease pathogenesis; downstream metabolites; dynamical behavior; expression levels; gene regulatory network modeling; homeostasis; immune regulation; immunosuppressive enzyme; indoleamine 2,3-dioxygenase regulatory network analysis; infection; inflammation; inflammatory reaction; interferon gamma; kynurenine; negative regulator; pathological state; pathways; potent inducer; qualitative modeling; steady state behavior; therapy; transforming growth factor-beta; tryptophan; tumor resistance; Analytical models; Cancer; Diseases; Immune system; Steady-state; Tumors; IDO; IFN-γ; TGF-β; biological regulatory network (BRN);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2014 11th International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4799-5147-5
  • Type

    conf

  • DOI
    10.1109/FSKD.2014.6980886
  • Filename
    6980886