Willerth Stephanie M, Johnson Philip J, Maxwell Dustin J, Parsons Sarah R, Doukas Maria E, Sakiyama-Elbert Shelly E
Department of Biomedical Engineering, Washington University, St. Louis, Missouri, USA.
J Biomed Mater Res A. 2007 Jan;80(1):13-23. doi: 10.1002/jbm.a.30844.
The purpose of this research was to identify peptide sequences with varying affinity for nerve growth factor (NGF) and use them in the rational design of affinity-based drug delivery systems. A phage display library (12 amino acid random peptide sequence) was screened against NGF-conjugated chromatography resin three times and fractions containing phage of varying affinity were eluted by decreasing the pH of the eluent. These phages were isolated, amplified; then their DNA was purified and sequenced to determine the identity of the random peptide domain. Consensus peptides based on these sequences were synthesized and screened for their ability to bind NGF and release it at different rates from fibrin matrices. The ability of fibrin matrices containing these peptides and NGF to deliver to biologically active NGF was tested using a chick dorsal root ganglia model. A mathematical model was developed to further understand how the affinity of a peptide can modulate release of NGF and to aid in design optimization for the delivery system. The peptides identified in this study were determined to have varying affinities for NGF suggesting that this approach can serve as a model for tailoring the affinity of a drug delivery system for a target protein drug.
本研究的目的是鉴定对神经生长因子(NGF)具有不同亲和力的肽序列,并将其用于基于亲和力的药物递送系统的合理设计。针对与NGF偶联的层析树脂对噬菌体展示文库(12个氨基酸的随机肽序列)进行了三次筛选,通过降低洗脱液的pH值洗脱含有不同亲和力噬菌体的级分。分离、扩增这些噬菌体;然后纯化其DNA并测序以确定随机肽结构域的身份。基于这些序列合成共有肽,并筛选它们结合NGF以及以不同速率从纤维蛋白基质中释放NGF的能力。使用鸡背根神经节模型测试含有这些肽和NGF的纤维蛋白基质递送生物活性NGF的能力。建立了一个数学模型,以进一步了解肽的亲和力如何调节NGF的释放,并有助于递送系统的设计优化。本研究中鉴定的肽对NGF具有不同的亲和力,这表明该方法可作为为目标蛋白药物定制药物递送系统亲和力的模型。