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低维对称独特型网络中的记忆但无抑制

Memory but no suppression in low-dimensional symmetric idiotypic networks.

作者信息

De Boer R J, Hogeweg P

出版信息

Bull Math Biol. 1989;51(2):223-46. doi: 10.1007/BF02458444.

Abstract

We present a new symmetric model of the idiotypic immune network. The model specifies clones of B-lymphocytes and incorporates: (1) influx and decay of cells; (2) symmetric stimulatory and inhibitory idiotypic interactions; (3) an explicit affinity parameter (matrix); (4) external (i.e. non-idiotypic) antigens. Suppression is the dominant interaction, i.e. strong idiotypic interactions are always suppressive. This precludes reciprocal stimulation of large clones and thus infinite proliferation. Idiotypic interactions first evoke proliferation, this enlarges the clones, and may in turn evoke suppression. We investigate the effect of idiotypic interactions on normal proliferative immune responses to antigens (e.g. viruses). A 2-D, i.e. two clone, network has a maximum of three stable equilibria: the virgin state and two asymmetric immune states. The immune states only exist if the affinity of the idiotypic interaction is high enough. Stimulation with antigen leads to a switch from the virgin state to the corresponding immune state. The network therefore remembers antigens, i.e. it accounts for immunity/memory by switching between multiple stable states. 3-D systems have, depending on the affinities, 9 qualitatively different states. Most of these also account for memory by state switching. Our idiotypic network however fails to account for the control of proliferation, e.g. suppression of excessive proliferation. In symmetric networks, the proliferating clones suppress their anti-idiotypic suppressors long before the latter can suppress the former. The absence of proliferation control violates the general assumption that idiotypic interactions play an important role in immune regulation. We therefore test the robustness of these results by abandoning our assumption that proliferation occurs before suppression. We thus define an "escape from suppression" model, i.e. in the "virgin" state idiotypic interactions are now suppressive. This system erratically accounts for memory and never for suppression. We conclude that our "absence of suppression from idiotypic interactions" does not hinge upon our "proliferation before suppression" assumption.

摘要

我们提出了一种独特型免疫网络的新对称模型。该模型指定了B淋巴细胞克隆,并纳入了:(1) 细胞的流入和衰减;(2) 对称的刺激和抑制性独特型相互作用;(3) 一个明确的亲和力参数(矩阵);(4) 外部(即非独特型)抗原。抑制是主要的相互作用,即强烈的独特型相互作用总是抑制性的。这排除了大克隆的相互刺激,从而避免了无限增殖。独特型相互作用首先引发增殖,这会扩大克隆,进而可能引发抑制。我们研究了独特型相互作用对针对抗原(如病毒)的正常增殖性免疫反应的影响。一个二维,即两个克隆的网络最多有三个稳定平衡点:初始状态和两个不对称免疫状态。只有当独特型相互作用的亲和力足够高时,免疫状态才会存在。用抗原刺激会导致从初始状态切换到相应的免疫状态。因此,该网络能够记住抗原,即它通过在多个稳定状态之间切换来解释免疫/记忆。三维系统根据亲和力有9种定性不同的状态。其中大多数也通过状态切换来解释记忆。然而,我们的独特型网络无法解释增殖的控制,例如对过度增殖的抑制。在对称网络中,增殖的克隆早在其抗独特型抑制因子能够抑制前者之前就抑制了它们。缺乏增殖控制违反了独特型相互作用在免疫调节中起重要作用的一般假设。因此,我们通过放弃增殖先于抑制发生的假设来检验这些结果的稳健性。因此,我们定义了一个“逃避抑制”模型,即在“初始”状态下,独特型相互作用现在是抑制性的。这个系统不规则地解释记忆,而且从不解释抑制。我们得出结论,我们的“独特型相互作用缺乏抑制”并不取决于我们的“增殖先于抑制”假设。

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