Prechl József
R&D Laboratory, Diagnosticum zrt, Budapest, Hungary.
MTA-ELTE Immunology Research Group, at Eötvös Loránd University, Budapest, Hungary.
Clin Transl Immunology. 2017 Feb 24;6(2):e131. doi: 10.1038/cti.2016.90. eCollection 2017 Feb.
In a pair of articles, we present a generalized quantitative model for the homeostatic function of clonal humoral immune system. In this second paper, we describe how antibody production controls the saturation of antigens and the network of antibody interactions that emerges in the epitome space with the establishment of the immune system. Efficient control of antigens, be it self or foreign, requires the maintenance of antibody concentrations that saturate antigen to relevant levels. Simple calculations suggest that the observed diverse recognition of antigens by natural antibodies is only possible by cross-reactivity whereby particular clones of antibodies bind to diverse targets and shared recognition of particular antigens by multiple antibody clones contribute to the maintenance of antigen control. We also argue that natural antibodies are none else than the result of thymus-independent responses against immunological self. We interpret and explain antibody production and function in a virtual molecular interaction space and as a network of interactions. Indeed, the general quantitative (GQM) model we propose is in agreement with earlier models, confirms some assumptions and presumably provides the theoretical basis for the construction of a real antibody network using the sequence and interaction database data.
在两篇文章中,我们提出了一种针对克隆性体液免疫系统稳态功能的广义定量模型。在第二篇论文中,我们描述了抗体产生如何控制抗原的饱和度以及随着免疫系统的建立在表位空间中出现的抗体相互作用网络。有效控制抗原,无论是自身抗原还是外来抗原,都需要维持能将抗原饱和到相关水平的抗体浓度。简单计算表明,天然抗体对抗原的多样识别只有通过交叉反应才有可能,即特定的抗体克隆与多种靶标结合,且多个抗体克隆对特定抗原的共同识别有助于维持对抗原的控制。我们还认为天然抗体正是针对免疫自身的非胸腺依赖性反应的结果。我们在虚拟分子相互作用空间中并作为一个相互作用网络来解释和说明抗体的产生及功能。实际上,我们提出的广义定量(GQM)模型与早期模型一致,证实了一些假设,并大概为利用序列和相互作用数据库数据构建真实抗体网络提供了理论基础。