Size-exclusion chromatography as a multi-attribute method for process and product characterization of adeno-associated virus.

IF 4.6 2区 医学 Q2 MEDICINE, RESEARCH & EXPERIMENTAL Molecular Therapy-Methods & Clinical Development Pub Date : 2024-11-19 eCollection Date: 2024-12-12 DOI:10.1016/j.omtm.2024.101382
Sri Hari Raju Mulagapati, Arun Parupudi, Tomasz Witkos, Nick Bond, Xiaoyu Chen, Thomas Linke, Guoling Xi, Albert Ethan Schmelzer, Wei Xu
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Abstract

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.

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尺寸排阻色谱法作为一种多属性方法,用于表征腺相关病毒的过程和产品特征。
腺相关病毒(aav)最近成为基因治疗的主要平台。由于aav的复杂制造工艺和结构特点,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可变性。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)是至关重要的。在这项研究中,我们开发了一种多属性监测(MAM)方法来表征AAV pqa。MAM方法是利用粒径排除色谱(SEC)的分离能力,结合多种在线检测器:紫外(UV)、荧光(FLD)、多角度光散射(MALS)和折射率(RI)建立的。我们证明,基于sec的MAM方法可用于测量不同的pqa,包括基因组和衣壳滴度、纯度、聚集性和满/空衣壳比。我们基于sec的MAM方法与正交的、单独的测定方法(如定量聚合酶链反应(qPCR)、酶联免疫吸附测定(ELISA)和阴离子交换色谱法(AEX))进行比较时,得到了相似的结果。此外,这里我们证明了一个简单的,无标签的,经济有效的,最小样品需求,和高通量的方法可以应用于支持工艺开发,产品表征,释放,和稳定性测试。
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来源期刊
Molecular Therapy-Methods & Clinical Development
Molecular Therapy-Methods & Clinical Development Biochemistry, Genetics and Molecular Biology-Molecular Biology
CiteScore
9.90
自引率
4.30%
发文量
163
审稿时长
12 weeks
期刊介绍: The aim of Molecular Therapy—Methods & Clinical Development is to build upon the success of Molecular Therapy in publishing important peer-reviewed methods and procedures, as well as translational advances in the broad array of fields under the molecular therapy umbrella. Topics of particular interest within the journal''s scope include: Gene vector engineering and production, Methods for targeted genome editing and engineering, Methods and technology development for cell reprogramming and directed differentiation of pluripotent cells, Methods for gene and cell vector delivery, Development of biomaterials and nanoparticles for applications in gene and cell therapy and regenerative medicine, Analysis of gene and cell vector biodistribution and tracking, Pharmacology/toxicology studies of new and next-generation vectors, Methods for cell isolation, engineering, culture, expansion, and transplantation, Cell processing, storage, and banking for therapeutic application, Preclinical and QC/QA assay development, Translational and clinical scale-up and Good Manufacturing procedures and process development, Clinical protocol development, Computational and bioinformatic methods for analysis, modeling, or visualization of biological data, Negotiating the regulatory approval process and obtaining such approval for clinical trials.
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