Research article

Affinity and avidity models in autoimmune disease

  • Received: 20 February 2018 Accepted: 27 March 2018 Published: 08 April 2018
  • In this work, we develop a theoretical model of affinity and avidity in the immune system.The model is based on an extension of the Cubic Ternary Complex (CTC) model of receptor - ligandinteractions to the immunological synapse setting. We use the resulting equation to study how lysiscan occur for a cell exhibiting only self proteins. This general affinity model gives a nice quantitativetool which can be used to explore a nonlinear model of how a T Cell can have a productive interactionwith a MHC-I complex even though the encapsulated peptide fragment is a self protein. The modelbuilt will allow the creation of even more general autoimmune models within the framework of B andT Cell differentiation via cytokine signalling families.

    Citation: James Peterson. Affinity and avidity models in autoimmune disease[J]. AIMS Allergy and Immunology, 2018, 2(1): 45-81. doi: 10.3934/Allergy.2018.1.45

    Related Papers:

  • In this work, we develop a theoretical model of affinity and avidity in the immune system.The model is based on an extension of the Cubic Ternary Complex (CTC) model of receptor - ligandinteractions to the immunological synapse setting. We use the resulting equation to study how lysiscan occur for a cell exhibiting only self proteins. This general affinity model gives a nice quantitativetool which can be used to explore a nonlinear model of how a T Cell can have a productive interactionwith a MHC-I complex even though the encapsulated peptide fragment is a self protein. The modelbuilt will allow the creation of even more general autoimmune models within the framework of B andT Cell differentiation via cytokine signalling families.


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    [1] Peterson JK, Kesson AM, King NJC (2017) A model of auto immune response. BMC Immunol 18 (Suppl 1): 48–65.
    [2] Weiss JM, Morgan PH, Lutz MW, et al. (1996) The cubic ternary complex receptor-occupancy model: I: Model description. J Theor Biol 178: 151–167. doi: 10.1006/jtbi.1996.0014
    [3] Weiss JM, Morgan PH, Lutz MW, et al. (1996) The cubic ternary complex receptor-occupancy model: II: understanding affinity. J Theor Biol 178: 169–182. doi: 10.1006/jtbi.1996.0015
    [4] Weiss JM, Morgan PH, Lutz MW, et al.(1996) The cubic ternary complex receptor-occupancy model: III: resurrecting efficacy. J Theor Biol 181: 391–397.
    [5] Huppa J, Davis M (2013) The Interdisciplinarity Science of T-cell Recognition. Adv Immunol 119: 1–50. doi: 10.1016/B978-0-12-407707-2.00001-1
    [6] Davis MM, Krogsgaard M, Huse M, et al. (2007) T cells as a self-referential sensory organ. Annu Rev Immunol 25: 681–695. doi: 10.1146/annurev.immunol.24.021605.090600
    [7] Kurschus FC,Wörtege S,Waisman A (2011) Modeling a complex disease: Multiple sclerosis. Adv Immunol 110: 111–137. doi: 10.1016/B978-0-12-387663-8.00001-6
    [8] Dendrou CA, Fugger L (2017) Immunomodulation in multiple sclerosis: promises and pitfalls. Curr Opin Immunol 49: 37–43. doi: 10.1016/j.coi.2017.08.013
    [9] Baranzini SE, Oksenberg JR (2017) The genetics of multiple sclerosis: From 0 to 200 in 50 Years. Trends Genet 33: 960–970. doi: 10.1016/j.tig.2017.09.004
    [10] Mitsikostas DD, Goodin DS (2017) Comparing the efficacy of disease-modifying therapies in multiple sclerosis. Mult Scler Relat Dis 18: 109–116. doi: 10.1016/j.msard.2017.08.003
    [11] Geginat J, Paroni M, Pagani M, et al. (2017) The enigmatic role of viruses in multiple sclerosis: Molecular mimicry or disturbed immune surveillance? Trends Immunol 38: 498–512. doi: 10.1016/j.it.2017.04.006
    [12] Roybal KT, Lim WA (2017) Synthetic immunology: Hacking immune cells to expand their therapeutic capabilities. Annu Rev Immunol 35: 229–253. doi: 10.1146/annurev-immunol-051116-052302
    [13] Srivastava S, Riddell SR (2015) Engineering CAR-T cells: Design concepts. Trends Immunol 36: 494–502. doi: 10.1016/j.it.2015.06.004
    [14] Wekerle H (2017) Brain autoimmunity and intestinal microbiota: 100 trillion game changers. Trends Immunol 38: 483–497. doi: 10.1016/j.it.2017.03.008
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  • © 2018 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
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