Wu Wenjun, Oliveira Liliam Teixeira, Jain Aarushi, Karpov Yury, Olsen Kirstin, Wu Yu, Gopalakrishna Panicker Rajesh Krishnan
Providence Therapeutics Holdings Inc., 120-8832 Blackfoot Trail SE, Calgary, Alberta T2J 3J1, Canada.
Providence Therapeutics Holdings Inc., 120-8832 Blackfoot Trail SE, Calgary, Alberta T2J 3J1, Canada.
Int J Pharm. 2025 Apr 30;675:125520. doi: 10.1016/j.ijpharm.2025.125520. Epub 2025 Mar 24.
Lipid nanoparticles (LNPs) are the most studied delivery systems for mRNA therapeutics and have gained importance in both industry and academia following the approval of multiple mRNA-LNP-based vaccines since 2021. The COVID-19 pandemic proved the remarkable efficacy and rapid deployment of mRNA-LNP vaccines, reinforcing their potential for broader therapeutic and vaccine applications. Currently, multiple mRNA-LNPs are in various stages of preclinical and clinical development. LNPs are sensitive to the manufacturing process, and to mitigate the risks associated with bringing an mRNA-LNP from benchtop to industrial scale, it is recommended to have a systematic process development approach, including mathematical modeling and statistical analysis. Among the unit operations required for mRNA-LNP manufacturing, concentration and buffer exchange by tangential flow filtration (TFF), as well as sterile filtration, are challenging and must be optimized to guarantee process scalability and product quality, while avoiding issues such as membrane fouling and incorrect filter capacity. This study investigates the optimization of TFF and sterile filtration parameters to manufacture higher concentration mRNA-LNPs necessary for cancer vaccines, particularly personalized cancer vaccines. Various flat-sheet TFF cartridges were tested under different process parameters, including flow rate and transmembrane pressure (TMP), to identify the most effective process conditions. Furthermore, the sterile filtration of mRNA-LNPs was analyzed using the gradual plugging model, providing insights into improving filter capacity, optimizing filtration pressures, and defining the design space for large-scale manufacturing. These findings contribute to the development of a robust and scalable mRNA-LNP manufacturing process ensuring product quality.
脂质纳米颗粒(LNPs)是用于mRNA疗法研究最多的递送系统,自2021年多种基于mRNA-LNP的疫苗获批以来,在工业界和学术界都变得愈发重要。新冠疫情证明了mRNA-LNP疫苗具有显著疗效且能快速部署,强化了其在更广泛治疗和疫苗应用方面的潜力。目前,多种mRNA-LNP正处于临床前和临床开发的不同阶段。LNPs对制造过程敏感,为降低将mRNA-LNP从实验室规模扩大到工业规模所带来的风险,建议采用系统的工艺开发方法,包括数学建模和统计分析。在mRNA-LNP制造所需的单元操作中,通过切向流过滤(TFF)进行浓缩和缓冲液交换以及无菌过滤具有挑战性,必须进行优化以确保工艺的可扩展性和产品质量,同时避免诸如膜污染和过滤容量不正确等问题。本研究探讨了TFF和无菌过滤参数的优化,以制造癌症疫苗(特别是个性化癌症疫苗)所需的更高浓度mRNA-LNP。在不同工艺参数(包括流速和跨膜压力(TMP))下测试了各种平板TFF滤芯,以确定最有效的工艺条件。此外,使用渐进堵塞模型分析了mRNA-LNP的无菌过滤,为提高过滤容量、优化过滤压力以及确定大规模制造的设计空间提供了见解。这些发现有助于开发出一种稳健且可扩展的mRNA-LNP制造工艺,确保产品质量。