2005 | OriginalPaper | Buchkapitel
Mathematical Modeling of Immune Suppression
verfasst von : Dokyun Na, Doheon Lee
Erschienen in: Artificial Immune Systems
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Administered antibodies can suppress humoral immune response. Though there are two hypotheses explaining the suppression, such as the epitope-masking and Fc-receptor mediated suppression, the epitope-masking hypothesis has garnered more supports. To better understand how the immune suppression works and to gain a quantitative and qualitative insight, we developed the first mathematical immune suppression model based on the epitope-masking hypothesis. However, because the hypothesis does not account for the actual B suppression mechanism, the fact that antigen-depletion induces the arrest of proliferating B cells was incorporated to the model. The model can reproduce immune suppression phenomena and complement the epitope-masking hypothesis by suggesting that the key mechanism for the suppression is the arrest of proliferating B cells and it was shown to be feasible. It is expected that our model gives a new insight to researchers in designing experiments for discovering the underlying mechanism of immune suppression.