Literature DB >> 16728432

Modeling competition among autoreactive CD8+ T cells in autoimmune diabetes: implications for antigen-specific therapy.

Athanasius F M Marée1, Pere Santamaria, Leah Edelstein-Keshet.   

Abstract

Antigen therapy remains a promising strategy for prevention and treatment of autoimmune diseases, but translating this strategy to clinical therapy has been largely unsuccessful. We have shown that development of autoimmune diabetes in non-obese diabetic (NOD) mice involves prevalent recruitment of CD8+ T cells recognizing epitopes of islet-specific glucose-6-phosphatase catalytic subunit-related protein (IGRP). Administration of peptide analogs of IGRP206-214, the dominant epitope, reduced disease incidence but only under conditions that led to selective deletion of high-avidity T-cell clones. Peptide types or doses that resulted in elimination of all IGRP206-214-reactive T cells, regardless of avidity, promoted the recruitment of sub-dominant epitope-specific T cells and failed to prevent disease development. Here, we mathematically model competition of IGRP-reactive T-cell clones during spontaneous disease, and in response to peptide treatment. Based on realistic T-cell activation, proliferation and differentiation parameter values, our model shows that progression of spontaneous disease is characterized by (i) initial expansion of all IGRP206-214-reactive T-cell clones (irrespective of avidity) and (ii) slow replacement of T-cell clones recognizing peptide/MHC with low avidity by their high-avidity counterparts. This model helps understand the paradoxical outcomes of IGRP-based peptide treatment experiments. Furthermore, it predicts that slight deviations in dose or peptide affinity can lead to treatment failure or disease progression. This will occur if the treatment (i) increases the imbalance between competing IGRP206-214-reactive T-cell clones such that it favors rapid takeover of high-avidity clones or (ii) deletes all IGRP206-214-reactive clones, thereby creating a vacuum that promotes the recruitment of pathogenic sub-dominant specificities. Our data and model urge caution in the application of peptide therapy in autoimmunity.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16728432     DOI: 10.1093/intimm/dxl040

Source DB:  PubMed          Journal:  Int Immunol        ISSN: 0953-8178            Impact factor:   4.823


  5 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.  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

Review 3.  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

4.  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

5.  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

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.