Kamei Daniel T, Lao Bert J, Ricci Margaret Speed, Deshpande Rohini, Xu Han, Tidor Bruce, Lauffenburger Douglas A
Biotechnology Process Engineering Center, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Biotechnol Bioeng. 2005 Dec 20;92(6):748-60. doi: 10.1002/bit.20624.
Fc mutants with increased binding affinity for the neonatal receptor, FcRn, exhibit increased half-lives in vivo, and represent an attractive means for extending the half-lives of therapeutic antibodies. The half-lives of other therapeutic molecules (e.g., proteins) may also be extended by conjugating them to Fc fragments, thus decreasing the frequency of patient injections and allowing the administration of low and potentially nontoxic concentrations of the therapeutics. To investigate the possibility for further increasing the half-life of Fc, a pair of quantitative methods is presented to complement combinatorial screening and in vivo testing. Specifically, a simple molecular modeling procedure was developed to predict relative Gibbs free energies of binding values (DeltaDeltaGbind) between Fc and FcRn across different mutants and species. This procedure was found to reasonably reproduce experimental DeltaDeltaGbind values from our experiments and the literature, and may be used as an initial screen to explore Fc sequence space more fully prior to experimental testing. In addition, a mathematical model of Fc trafficking was formulated and combined with a cell-level pulse-chase assay to obtain a quantitative recycling parameter in human T84 cells. This Fc recycling parameter was found to be correlated with binding affinity, but captures the pH dependent nature of the interaction between Fc and FcRn and may serve as an additional screen following combinatorial experiments.
对新生受体FcRn具有更高结合亲和力的Fc突变体在体内表现出更长的半衰期,是延长治疗性抗体半衰期的一种有吸引力的方法。通过将其他治疗分子(如蛋白质)与Fc片段偶联,其半衰期也可能延长,从而减少患者注射频率,并允许使用低浓度且可能无毒的治疗药物。为了研究进一步延长Fc半衰期的可能性,提出了一对定量方法来补充组合筛选和体内测试。具体而言,开发了一种简单的分子建模程序,以预测不同突变体和物种的Fc与FcRn之间结合值的相对吉布斯自由能(ΔΔGbind)。发现该程序能合理重现我们的实验及文献中的实验ΔΔGbind值,可作为初步筛选方法,在实验测试前更全面地探索Fc序列空间。此外,构建了Fc转运的数学模型,并与细胞水平的脉冲追踪试验相结合,以获得人T84细胞中的定量循环参数。发现该Fc循环参数与结合亲和力相关,但体现了Fc与FcRn之间相互作用的pH依赖性,可作为组合实验后的额外筛选方法。