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被动免疫中来自自身的竞争模型,应用于 HIV 的广谱中和抗体。

Model for competition from self during passive immunization, with application to broadly neutralizing antibodies for HIV.

机构信息

James Franck Institute, The University of Chicago, Chicago, IL 60637, United States.

出版信息

Vaccine. 2012 Jan 11;30(3):607-13. doi: 10.1016/j.vaccine.2011.11.048. Epub 2011 Nov 23.

Abstract

We propose a mathematical model to interpret observations concerning the behavior of broadly neutralizing antibodies for chronic HIV in vivo. The model enables us to identify a threshold antibody level that must be achieved to decrease the viral load effectively. Although this threshold has not been reached in existing passive immunization studies, it is within range of humoral immune responses, suggesting that therapeutic vaccines are feasible. In an appendix, we develop a model of passive immunization against influenza, and acute infection.

摘要

我们提出了一个数学模型来解释关于慢性 HIV 体内广谱中和抗体行为的观察结果。该模型使我们能够确定必须达到的抗体水平阈值,以有效地降低病毒载量。尽管在现有的被动免疫研究中尚未达到这一阈值,但它处于体液免疫反应的范围内,这表明治疗性疫苗是可行的。在附录中,我们开发了一个针对流感和急性感染的被动免疫模型。

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