Segel L A
Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel.
Novartis Found Symp. 2001;239:31-40; discussion 40-51. doi: 10.1002/0470846674.ch4.
Diffuse feedback is defined to be a process by which a system in some sense improves its performance with respect to a variety of conflicting and even contradictory goals. In the immune system, such feedback is mediated by scores of extracellular chemicals (cytokines), each of which participates in achieving several goals. Progress toward any given goal is mediated by several cytokines. The 'immunoinformatics' of this diffuse informational network will be discussed. It will be shown how diffuse feedbacks, based on this network, can improve the performance of a given type of immune effector cell, and can cause the preferential amplification of more potent effectors. It will be argued that diffuse feedback also acts in other biological systems ranging from the metabolic system to ant colonies.
弥散反馈被定义为一个系统在某种意义上针对各种相互冲突甚至矛盾的目标来改善其性能的过程。在免疫系统中,这种反馈由数十种细胞外化学物质(细胞因子)介导,每种细胞因子都参与实现多个目标。朝着任何给定目标的进展由多种细胞因子介导。将讨论这个弥散信息网络的“免疫信息学”。将展示基于这个网络的弥散反馈如何能够改善给定类型免疫效应细胞的性能,并能导致更强效效应细胞的优先扩增。还将论证弥散反馈也作用于从代谢系统到蚁群等其他生物系统。