Cheng Yiming, Ghersi Dario, Calcagno Claudia, Selin Liisa K, Puzone Roberto, Celada Franco
Department of Medicine, New York University School of Medicine, New York, NY, USA.
Vaccine. 2009 Feb 5;27(6):833-45. doi: 10.1016/j.vaccine.2008.11.109. Epub 2008 Dec 25.
In an agent-based computer model, we simulate the formation and recall of anti-virus immunological memory. Specifically we try to predict what will happen, both to the response and to memory, when the second infecting virus is partly different from the first one, and when the cross-reactivity of the two branches of the immune system (IS), humoral and cellular, is asymmetrical, or "split". The simulations explore systematically epitope distances, and measure all changes in affinity, cellularity and efficiency in clearing the infection. Besides obvious cooperation, they reveal powerful competitions between the branches, and more intriguing, between cross-reacting and new responses when the latter suffer the competition by preformed cell-rich but inefficient clones, as memory, usually an asset, becomes a liability.
在一个基于主体的计算机模型中，我们模拟了抗病毒免疫记忆的形成与回忆。具体而言，我们试图预测当第二次感染的病毒与第一次部分不同时，以及当免疫系统（IS）的两个分支，即体液免疫和细胞免疫的交叉反应不对称或“分裂”时，反应和记忆会发生什么情况。模拟系统地探索了表位距离，并测量了清除感染过程中亲和力、细胞数量和效率的所有变化。除了明显的协同作用外，它们还揭示了两个分支之间强大的竞争，更有趣的是，当新的反应受到预先形成的、细胞丰富但效率低下的克隆（作为记忆，通常是一种资产）的竞争时，交叉反应和新反应之间的竞争，此时记忆变成了一种负担。
