T cell anergy as a strategy to reduce the risk of autoimmunity

Koichi Saeki, Yoh Iwasa

研究成果: ジャーナルへの寄稿学術誌査読

1 被引用数 (Scopus)


Some self-reactive immature T cells escape negative selection in the thymus and may cause autoimmune diseases later. In the periphery, if T cells are stimulated insufficiently by peptide-major histocompatibility complex, they become inactive and their production of cytokines changes, a phenomenon called "T cell anergy". In this paper, we explore the hypothesis that T cell anergy may function to reduce the risk of autoimmunity. The underlying logic is as follows: Since those self-reactive T cells that receive strong stimuli from self-antigens are eliminated in the thymus, T cells that receive strong stimuli in the periphery are likely to be non-self-reactive. As a consequence, when a T cell receives a weak stimulus, the likelihood that the cell is self-reactive is higher than in the case that it receives a strong stimulus. Therefore, inactivation of the T cell may reduce the danger of autoimmunity. We consider the formalism in which each T cell chooses its response depending on the strength of stimuli in order to reduce the risk of autoimmune diseases while maintaining its ability to attack non-self-antigens effectively. The optimal T cell responses to a weak and a strong stimulus are obtained both when the cells respond in a deterministic manner and when they respond in a probabilistic manner. We conclude that T cell anergy is the optimal response when a T cell meets with antigen-presenting cells many times in its lifetime, and when the product of the autoimmunity risk and the number of self-reactive T cells has an intermediate value.

ジャーナルJournal of Theoretical Biology
出版ステータス出版済み - 5月 21 2011

!!!All Science Journal Classification (ASJC) codes

  • 医学(全般)
  • 免疫学および微生物学(全般)
  • 生化学、遺伝学、分子生物学(全般)
  • 農業および生物科学(全般)
  • モデリングとシミュレーション
  • 統計学および確率
  • 応用数学


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