Ouranidis Andreas, Davidopoulou Christina, Tashi Reald-Konstantinos, Kachrimanis Kyriakos
Department of Pharmaceutical Technology, School of Pharmacy, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.
Department of Chemical Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.
Pharmaceutics. 2021 Aug 31;13(9):1371. doi: 10.3390/pharmaceutics13091371.
Continuous mRNA drugs manufacturing is perceived to nurture flow processes featuring quality by design, controlled automation, real time validation, robustness, and reproducibility, pertaining to regulatory harmonization. However, the actual adaptation of the latter remains elusive, hence batch-to-continuous transition would a priori necessitate holistic process understanding. In addition, the cost related to experimental, pilot manufacturing lines development and operations thereof renders such venture prohibitive. Systems-based Pharmaceutics 4.0 digital design enabling tools, i.e., converging mass and energy balance simulations, Monte-Carlo machine learning iterations, and spatial arrangement analysis were recruited herein to overcome the aforementioned barriers. The primary objective of this work is to hierarchically design the related bioprocesses, embedded in scalable devices, compatible with continuous operation. Our secondary objective is to harvest the obtained technological data and conduct resource commitment analysis. We herein demonstrate for first time the feasibility of the continuous, end-to-end production of sterile mRNA formulated into lipid nanocarriers, defining the equipment specifications and the desired operational space. Moreover, we find that the cell lysis modules and the linearization enzymes ascend as the principal resource-intensive model factors, accounting for 40% and 42% of the equipment and raw material, respectively. We calculate MSPD 1.30-1.45 €, demonstrating low margin lifecycle fluctuation.
连续mRNA药物制造被认为有助于实现具有设计质量、自动化控制、实时验证、稳健性和可重复性的流程,这与监管协调相关。然而,后者的实际应用仍然难以捉摸,因此从批次生产向连续生产的转变将必然需要对整个过程有全面的理解。此外,与实验性中试生产线开发及其运营相关的成本使得此类项目令人望而却步。本文采用基于系统的制药4.0数字设计赋能工具,即融合质量和能量平衡模拟、蒙特卡洛机器学习迭代以及空间布局分析,以克服上述障碍。这项工作的主要目标是分层设计相关生物过程,将其嵌入可扩展设备中,以实现连续操作。我们的次要目标是收集获得的技术数据并进行资源投入分析。我们在此首次证明了将无菌mRNA连续端到端生产成脂质纳米载体的可行性,确定了设备规格和所需的操作空间。此外,我们发现细胞裂解模块和线性化酶是主要的资源密集型模型因素,分别占设备和原材料的40%和42%。我们计算得出的平均销售价格为1.30 - 1.45欧元,表明生命周期利润率波动较低。