Kim Nam Ah, Song Kyoung, Lim Dae Gon, Hada Shavron, Shin Young Kee, Shin Sangmun, Jeong Seong Hoon
College of Pharmacy, Dongguk University-Seoul, Gyeonggi 410-820, Republic of Korea.
Abion Inc., Seoul, Republic of Korea.
Eur J Pharm Sci. 2015 Oct 12;78:177-89. doi: 10.1016/j.ejps.2015.07.020. Epub 2015 Jul 26.
The purpose of this study was to develop a basal buffer system for a biobetter version of recombinant human interferon-β 1a (rhIFN-β 1a), termed R27T, to optimize its biophysical stability. The protein was pre-screened in solution as a function of pH (2-11) using differential scanning calorimetry (DSC) and dynamic light scattering (DLS). According to the result, its experimental pI and optimal pH range were 5.8 and 3.6-4.4, respectively. Design of experiment (DoE) approach was developed as a practical tool to aid formulation studies as a function of pH (2.9-5.7), buffer (phosphate, acetate, citrate, and histidine), and buffer concentration (20 mM and 50 mM). This method employed a weight-based procedure to interpret complex data sets and to investigate critical key factors representing protein stability. The factors used were Tm, enthalpy, and relative helix contents which were obtained by DSC and Fourier Transform Infrared spectroscopy (FT-IR). Although the weights changed by three responses, objective functions from a set of experimental designs based on four buffers were highest in 20 mM acetate buffer at pH 3.6 among all 19 scenarios tested. Size exclusion chromatography (SEC) was adopted to investigate accelerated storage stability in order to optimize the pH value with susceptible stability since the low pH was not patient-compliant. Interestingly, relative helix contents and storage stability (monomer remaining) increased with pH and was the highest at pH 4.0. On the other hand, relative helix contents and thermodynamic stability decreased at pH 4.2 and 4.4, suggesting protein aggregation issues. Therefore, the optimized basal buffer system for the novel biobetter was proposed to be 20 mM acetate buffer at pH 3.8±0.2.
本研究的目的是为重组人干扰素β-1a(rhIFN-β-1a)的生物优化版本(称为R27T)开发一种基础缓冲系统,以优化其生物物理稳定性。使用差示扫描量热法(DSC)和动态光散射(DLS)在溶液中对该蛋白质进行pH值(2 - 11)的预筛选。根据结果,其实验性pI和最佳pH范围分别为5.8和3.6 - 4.4。实验设计(DoE)方法被开发为一种实用工具,以辅助作为pH值(2.9 - 5.7)、缓冲液(磷酸盐、醋酸盐、柠檬酸盐和组氨酸)和缓冲液浓度(20 mM和50 mM)函数的制剂研究。该方法采用基于权重的程序来解释复杂数据集,并研究代表蛋白质稳定性的关键因素。所使用的因素是通过DSC和傅里叶变换红外光谱(FT-IR)获得的熔解温度(Tm)、焓和相对螺旋含量。尽管权重因三种响应而变化,但在所有19种测试方案中,基于四种缓冲液的一组实验设计的目标函数在pH 3.6的20 mM醋酸盐缓冲液中最高。由于低pH不符合患者要求,采用尺寸排阻色谱法(SEC)研究加速储存稳定性,以优化具有敏感稳定性的pH值。有趣的是,相对螺旋含量和储存稳定性(单体残留量)随pH值增加,在pH 4.0时最高。另一方面,在pH 4.2和4.4时,相对螺旋含量和热力学稳定性下降,表明存在蛋白质聚集问题。因此,新型生物优化产品的优化基础缓冲系统被建议为pH 3.8±0.2的20 mM醋酸盐缓冲液。