Department of Computer Science, Dartmouth, Hanover, NH, USA.
Profectus BioSciences, Inc., Baltimore, MD, USA.
Mol Syst Biol. 2019 May 2;15(5):e8747. doi: 10.15252/msb.20188747.
Characterizing the antigen-binding and innate immune-recruiting properties of the humoral response offers the chance to obtain deeper insights into mechanisms of protection than revealed by measuring only overall antibody titer. Here, a high-throughput, multiplexed Fab-Fc Array was employed to profile rhesus macaques vaccinated with a gp120-CD4 fusion protein in combination with different genetically encoded adjuvants, and subsequently subjected to multiple heterologous simian immunodeficiency virus (SIV) challenges. Systems analyses modeling protection and adjuvant differences using Fab-Fc Array measurements revealed a set of correlates yielding strong and robust predictive performance, while models based on measurements of response magnitude alone exhibited significantly inferior performance. At the same time, rendering Fab-Fc measurements mathematically independent of titer had relatively little impact on predictive performance. Similar analyses for a distinct SIV vaccine study also showed that Fab-Fc measurements performed significantly better than titer. These results suggest that predictive modeling with measurements of antibody properties can provide detailed correlates with robust predictive power, suggest directions for vaccine improvement, and potentially enable discovery of mechanistic associations.
鉴定体液免疫反应的抗原结合和固有免疫募集特性,提供了比仅测量总抗体滴度更深入了解保护机制的机会。在这里,采用高通量、多重 Fab-Fc 阵列来分析用 gp120-CD4 融合蛋白与不同基因编码佐剂联合接种的恒河猴,并随后进行多次异种猴免疫缺陷病毒(SIV)挑战。使用 Fab-Fc 阵列测量值进行的保护和佐剂差异的系统分析表明,一组相关因素具有强大而稳健的预测性能,而仅基于反应幅度测量值的模型则表现出明显较差的性能。与此同时,使 Fab-Fc 测量值在数学上独立于滴度对预测性能的影响相对较小。对另一项不同的 SIV 疫苗研究的类似分析也表明,Fab-Fc 测量值的表现明显优于滴度。这些结果表明,使用抗体特性测量值进行预测建模可以提供具有强大预测能力的详细相关性,为疫苗改进提供方向,并有可能发现机制关联。