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最优进化决策以存储免疫记忆。

Optimal evolutionary decision-making to store immune memory.

机构信息

Max Planck Institute for Dynamics and Self-organization, Göttingen, Germany.

Department of Physics, University of Washington, Seattle, United States.

出版信息

Elife. 2021 Apr 28;10:e61346. doi: 10.7554/eLife.61346.

Abstract

The adaptive immune system provides a diverse set of molecules that can mount specific responses against a multitude of pathogens. Memory is a key feature of adaptive immunity, which allows organisms to respond more readily upon re-infections. However, differentiation of memory cells is still one of the least understood cell fate decisions. Here, we introduce a mathematical framework to characterize optimal strategies to store memory to maximize the utility of immune response over an organism's lifetime. We show that memory production should be actively regulated to balance between affinity and cross-reactivity of immune receptors for an effective protection against evolving pathogens. Moreover, we predict that specificity of memory should depend on the organism's lifespan, and shorter lived organisms with fewer pathogenic encounters should store more cross-reactive memory. Our framework provides a baseline to gauge the efficacy of immune memory in light of an organism's coevolutionary history with pathogens.

摘要

适应性免疫系统提供了一系列多样化的分子,可以针对多种病原体产生特异性反应。记忆是适应性免疫系统的一个关键特征,它使生物体在再次感染时能够更迅速地做出反应。然而,记忆细胞的分化仍然是最不为人理解的细胞命运决定之一。在这里,我们引入了一个数学框架来描述存储记忆的最佳策略,以最大限度地提高生物体一生中免疫反应的效用。我们表明,为了有效抵御不断进化的病原体,记忆产生应该受到积极调节,以平衡免疫受体的亲和力和交叉反应性。此外,我们预测记忆的特异性应该取决于生物体的寿命,与病原体接触较少的寿命较短的生物体应该存储更多的交叉反应性记忆。我们的框架为根据生物体与病原体的共同进化历史来评估免疫记忆的功效提供了一个基准。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a04/8116052/efedefd893f4/elife-61346-fig1.jpg

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