Department of Chemical Engineering, Indian Institute of Science, Bengaluru 560012, India.
Department of Chemical Engineering, Indian Institute of Science, Bengaluru 560012, India; Centre for Biosystems Science and Engineering, Indian Institute of Science, Bengaluru 560012, India.
Cell Rep. 2019 Dec 17;29(12):3946-3957.e5. doi: 10.1016/j.celrep.2019.11.030.
Passive immunization (PI) with external antibodies has been used classically for rapid but temporary alleviation of disease. Transcending this role, recent studies have shown PI to induce lasting improvements in natural antibody production, suggesting that PI could become a powerful tool to engineer humoral responses. We propose a mechanism with which PI can alter the humoral response. Antigen-specific B cells evolve and get selected in germinal centers (GCs) on the basis of their ability to acquire antigen from antibody-antigen complexes presented in GCs. When external antibodies of high affinity for antigen are used, they form the majority of the complexes in GCs, letting only B cells with even higher affinities be selected. Using an in silico GC reaction model, we show that this mechanism explains the improved humoral responses following PI. The model also synthesizes several independent experimental observations, indicating the robustness of the mechanism, and proposes tunable handles to optimize PI.
被动免疫(PI)使用外源性抗体,经典地用于快速但暂时缓解疾病。超越这一作用,最近的研究表明 PI 可诱导天然抗体产生的持久改善,表明 PI 可能成为工程化体液反应的有力工具。我们提出了一个机制,通过该机制,PI 可以改变体液反应。抗原特异性 B 细胞在生发中心(GC)中进化并被选择,其基础是它们从 GC 中呈现的抗体-抗原复合物中获取抗原的能力。当使用对抗原具有高亲和力的外源性抗体时,它们在 GC 中形成大多数复合物,仅选择具有更高亲和力的 B 细胞。我们使用一种计算机模拟 GC 反应模型,表明该机制解释了 PI 后改善的体液反应。该模型还综合了几个独立的实验观察结果,表明该机制的稳健性,并提出了可调的处理方法来优化 PI。