Biopharmaceutical Research Center, Aryogen Pharmed Inc., Alborz University of Medical Science, Karaj, Iran.
PLoS One. 2019 Jan 16;14(1):e0210712. doi: 10.1371/journal.pone.0210712. eCollection 2019.
Cell culture process optimization is a critical solution to most of the challenges faced by the pharmaceutical manufacturing. One of the major problems encountered in large-scale production of therapeutic proteins is misfolded protein production. The accumulation of misfolded therapeutic proteins is an immunogenic signal and a risk factor for immunogenicity of the final product. The aim of this study was the statistical optimization of three-phasic temperature shift and timing for enhanced production of correctly folded Fc-fusion protein. The effect of culture temperatures were investigated using the biphasic culture system. Box-Behnken design was then used to compute temperature and time of shifting optimum. Response surface methodology revealed that maximum production with low level of misfolded protein was achieved at two-step temperature shift from 37°C to 30°C during the late logarithmic phase and 30°C to 28°C in the mid-stationary phase. The optimized condition gave the best results of 1860 mg L-1 protein titer with 24.5% misfolding level. The validation experiments were carried out under optimal conditions with three replicates and the protein misfolding level was decreased by two times while productivity increased by ~ 1.3-fold. Large-scale production in 250 L bioreactor under the optimum conditions was also verified the effectiveness and the accuracy of the model. The results showed that by utilizing two-step temperature shift, productivity and the quality of target protein have been improved simultaneously. This model could be successfully applied to other products.
细胞培养过程优化是解决制药生产中大多数挑战的关键解决方案。在治疗性蛋白的大规模生产中遇到的主要问题之一是错误折叠的蛋白生产。错误折叠的治疗性蛋白的积累是一种免疫原性信号,也是最终产品免疫原性的风险因素。本研究的目的是通过统计优化三相温度转换和定时,来提高正确折叠的 Fc 融合蛋白的产量。使用双相培养系统研究了培养温度的影响。然后使用 Box-Behnken 设计计算了最佳温度和转移时间。响应面法表明,在对数期晚期从 37°C 到 30°C 和在中期停滞期从 30°C 到 28°C 的两步温度转换可以实现最大产量和最低错误折叠蛋白水平。优化条件下,蛋白滴度达到 1860mg/L,错误折叠水平为 24.5%。在最佳条件下进行了三次验证实验,错误折叠水平降低了两倍,而生产力提高了约 1.3 倍。在最佳条件下在 250L 生物反应器中的大规模生产也验证了该模型的有效性和准确性。结果表明,通过利用两步温度转换,可以同时提高生产力和目标蛋白的质量。该模型可成功应用于其他产品。