关于B细胞免疫网络中个体发生的一些思考
Some thoughts on the ontogenesis in B-cell immune networks
摘要：
我们有兴趣在统计力学的味道内建模理论免疫学：专注于抗原独立的成熟过程的B细胞，在本文中，我们试图修改的问题，自我与非自我的歧视成熟的B淋巴细胞。我们只考虑B淋巴细胞：尽管这当然是一种过度简化，但这样的玩具模型可能有助于突出它们相互作用的特征，否则会被主要驱动机制所掩盖，即辅助T细胞信号传导。通过分析免疫系统的个体发育对B淋巴细胞最终行为的可能影响，我们试图将出生时的纯负选择机制与成年后的自我调节过程相结合。最终的目标是一个“虚拟的画面”，通过它，两种场景都可以存在，实际上，是协同互补的：通过数值模拟，我们强加在最近的B细胞相互作用的方案上，在个体发育过程中，部分自反应淋巴细胞被杀死，两个观察结果源于：起初，如此构建的系统即使在其成熟的生命中也能够表现出与先前遇到的自我的无能性，则这自然导致所得独特型网络的连接性分布的方差（和平均值）增加。因此，根据瓦雷拉的观点，这种转变可能有助于推动那些自由探索身体的自我导向细胞的无反应性：将后者识别为高度连接的细胞，无反应性甚至通过B网络调节来施加，其强度受到负面选择的影响。
英文摘要：
We are interested in modeling theoretical immunology within a statistical mechanics flavor: focusing on the antigen-independent maturation process of B-cells, in this paper we try to revise the problem of self vs non-self discrimination by mature B lymphocytes. We consider only B lymphocytes: despite this is of course an oversimplification, however such a toy model may help to highlight features of their interactions otherwise shadowed by main driven mechanisms due to i.e. helper T-cell signalling. By analyzing possible influences of the ontogenesis of the immune system on the final behavior of B lymphocytes, we try to merge over the purely negative selection mechanism at their birth with the adult self-regulation process. The final goal is a "thermodynamical picture" by which both the scenarios can exist and, actually, be synergically complementary: Trough numerical simulations we impose on a recent scheme for B-cell interactions, that part of self-reactive lymphocytes are killed during the ontogenesis by which two observations stem: At first the so built system is able to show anergy with respect to the previously encountered self even in its mature life, then this naturally leads to an increasing variance (and average) in the connectivity distribution of the resulting idiotypic network. As a consequence, following Varela perspective, this shift may contribute to push to anergy those self-directed cells which are free to explore the body: identifying the latter as the highly connected ones, anergy is imposed even via the B-network regulation, and its strength is influenced by the negative selection.
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