Literature DB >> 18950644

The role of low avidity T cells in the protection against type 1 diabetes: a modeling investigation.

Anmar Khadra1, Pere Santamaria, Leah Edelstein-Keshet.   

Abstract

Cytotoxic T lymphocytes (CTLs) play a dominant role in the pathogenesis of autoimmune diabetes, commonly denoted Type 1 Diabetes (T1D). These CTLs (notably CD8(+) T cells) recognize and kill insulin-secreting pancreatic beta cells, reducing their number by approximately 90%. The resulting reduction of insulin secretion causes the defective regulation of glucose metabolism, leading to the characteristic symptoms of diabetes. Recognition of beta cells as targets by CTLs depends on the interactions between MHC-peptide complexes on the surface of beta cells and receptors (TCRs) on T cells. Those CTLs with high affinity TCRs (also called high avidity T cells) cause most of the harm, while those with low affinity TCRs (also called low avidity T cells) play a more mysterious role. Recent experimental evidence suggests that low avidity T cells accumulate as memory T cells during the disease and may be protective in NOD mice (a strain prone to developing T1D), delaying disease progression. It has been hypothesized that such low avidity T cells afford disease protection either by crowding the islets of Langerhans, where beta cells reside, or by killing antigen presenting cells (APCs). In this paper, we explore the hypothesized mechanisms for this protective effect in the context of a series of models for (1) the interactions of low and high avidity T cells, (2) the effect of APCs and (3) the feedback from beta cell killing to autoantigen-induced T cell proliferation. We analyze properties of these models, noting consistency of predictions with observed behaviour. We then use the models to examine the influence of various treatment strategies on the progression of the disease. The model reveals that progressive accumulation of memory low avidity autoreactive T cells during disease progression makes treatments aimed at expanding these protective T cell types more effective close to, or at the onset of clinical disease. It also provides evidence for the hypothesis that low avidity T cells kill APCs (rather than the alternate hypothesis that they crowd the islets).

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Year:  2008        PMID: 18950644     DOI: 10.1016/j.jtbi.2008.09.019

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  11 in total

1.  The pathogenicity of self-antigen decreases at high levels of autoantigenicity: a computational approach.

Authors:  Anmar Khadra; Pere Santamaria; Leah Edelstein-Keshet
Journal:  Int Immunol       Date:  2010-05-24       Impact factor: 4.823

2.  Continuum model of T-cell avidity: Understanding autoreactive and regulatory T-cell responses in type 1 diabetes.

Authors:  Majid Jaberi-Douraki; Massimo Pietropaolo; Anmar Khadra
Journal:  J Theor Biol       Date:  2015-08-10       Impact factor: 2.691

3.  Quantifying immunoregulation by autoantigen-specific T-regulatory type 1 cells in mice with simultaneous hepatic and extra-hepatic autoimmune disorders.

Authors:  Hassan Jamaleddine; Pere Santamaria; Anmar Khadra
Journal:  Immunology       Date:  2020-09-11       Impact factor: 7.397

4.  Dependence of CD8 T Cell Response upon Antigen Load During Primary Infection : Analysis of Data from Yellow Fever Vaccination.

Authors:  James R Moore; Hasan Ahmed; Don McGuire; Rama Akondy; Rafi Ahmed; Rustom Antia
Journal:  Bull Math Biol       Date:  2019-06-04       Impact factor: 1.758

Review 5.  Human systems immunology: hypothesis-based modeling and unbiased data-driven approaches.

Authors:  Arnon Arazi; William F Pendergraft; Ruy M Ribeiro; Alan S Perelson; Nir Hacohen
Journal:  Semin Immunol       Date:  2013-01-29       Impact factor: 11.130

Review 6.  Autoimmune responses in T1DM: quantitative methods to understand onset, progression, and prevention of disease.

Authors:  Majid Jaberi-Douraki; Shang Wan Shalon Liu; Massimo Pietropaolo; Anmar Khadra
Journal:  Pediatr Diabetes       Date:  2014-05       Impact factor: 4.866

7.  Unraveling the contribution of pancreatic beta-cell suicide in autoimmune type 1 diabetes.

Authors:  Majid Jaberi-Douraki; Santiago Schnell; Massimo Pietropaolo; Anmar Khadra
Journal:  J Theor Biol       Date:  2014-05-14       Impact factor: 2.691

8.  Investigating the role of T-cell avidity and killing efficacy in relation to type 1 diabetes prediction.

Authors:  Anmar Khadra; Massimo Pietropaolo; Gerald T Nepom; Arthur Sherman
Journal:  PLoS One       Date:  2011-05-10       Impact factor: 3.240

9.  Spatiotemporal Dynamics of Insulitis in Human Type 1 Diabetes.

Authors:  Kyle C A Wedgwood; Sarah J Richardson; Noel G Morgan; Krasimira Tsaneva-Atanasova
Journal:  Front Physiol       Date:  2016-12-27       Impact factor: 4.566

10.  Predictive models of type 1 diabetes progression: understanding T-cell cycles and their implications on autoantibody release.

Authors:  Majid Jaberi-Douraki; Massimo Pietropaolo; Anmar Khadra
Journal:  PLoS One       Date:  2014-04-04       Impact factor: 3.240

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