Mulagapati Sri Hari Raju, Parupudi Arun, Witkos Tomasz, Bond Nick, Chen Xiaoyu, Linke Thomas, Xi Guoling, Schmelzer Albert Ethan, Xu Wei
Process and Analytical Sciences, BioPharmaceuticals Development (BPD), R&D, AstraZeneca, Gaithersburg, MD, USA.
Drug Product and Formulation Sciences, GSK Vaccines, Rockville, MD 20850, USA.
Mol Ther Methods Clin Dev. 2024 Nov 19;32(4):101382. doi: 10.1016/j.omtm.2024.101382. eCollection 2024 Dec 12.
Adeno-associated viruses (AAVs) have recently emerged as a leading platform for gene therapy. Due to the complex manufacturing process and structural features of AAVs, extensive process and product characterization studies are required to better understand product quality and batch-to-batch variability. It is, therefore, critical to develop a fast and reliable analytical method to monitor different product quality attributes (PQAs) of AAVs. In this study, we developed a multiple-attribute monitoring (MAM) method for the characterization of AAV PQAs. The MAM method was developed using the separation capability of size-exclusion chromatography (SEC) in connection with multiple in-line detectors: ultraviolet (UV), fluorescence (FLD), multi-angle light scattering (MALS), and refractive index (RI). We demonstrate that our SEC-based MAM method can be used to measure different PQAs, including genome and capsid titer, purity, aggregation, and full/empty capsid ratios in a single assay. Our SEC-based MAM method achieves similar results when compared side by side with orthogonal, individual assays such as quantitative polymerase chain reaction (qPCR), enzyme-linked immunosorbent assay (ELISA), and anion-exchange chromatography (AEX). Moreover, here we demonstrate that a simple, label-free, cost-effective, minimum sample requirement, and a high-throughput method can be applied to support process development, product characterization, release, and stability testing.
腺相关病毒(AAV)最近已成为基因治疗的主要平台。由于AAV复杂的生产工艺和结构特点,需要进行广泛的工艺和产品表征研究,以更好地了解产品质量和批次间的变异性。因此,开发一种快速可靠的分析方法来监测AAV的不同产品质量属性(PQA)至关重要。在本研究中,我们开发了一种用于表征AAV PQA的多属性监测(MAM)方法。该MAM方法利用尺寸排阻色谱(SEC)的分离能力,并结合多个在线检测器:紫外(UV)、荧光(FLD)、多角度光散射(MALS)和折射率(RI)开发而成。我们证明,基于SEC的MAM方法可用于在一次测定中测量不同的PQA,包括基因组和衣壳滴度、纯度、聚集度以及全/空衣壳比率。与定量聚合酶链反应(qPCR)、酶联免疫吸附测定(ELISA)和阴离子交换色谱(AEX)等正交的单独测定方法相比,我们基于SEC的MAM方法能获得相似的结果。此外,我们在此证明,一种简单、无标记、经济高效、样品需求量少且高通量的方法可用于支持工艺开发、产品表征、放行和稳定性测试。