Development of an optimized SEC method for characterization of genome DNA leakage from adeno-associated virus products.

Adeno-associated virus (AAV) vectors are widely used to deliver therapeutic transgenes due to their superior safety, relatively low immunogenicity, and ability to target diverse tissues. AAV gene therapy products are typically formulated as frozen liquid and stored below - 60 °C, and therefore are subjected to multiple freeze/thaw cycles during manufacturing and administration. Recent studies have shown that genome DNA leakage could be induced by freeze/thaw stress. DNA leakage from AAV capsids has been reported to potentially impact product stability, induce immune responses, and compromise product efficacy. Thus, further characterization to improve the understanding of genome DNA leakage is necessary for mitigating the risks associated with genome DNA leakage during AAV product development. In this work, we developed an optimized size-exclusion chromatography (SEC) method for quantifying the leakage of genome DNA across multiple different AAV serotypes and demonstrated satisfactory assay performance in sensitivity, precision, and linearity. Furthermore, we showed that this method could also be applied to quantifying additional quality attributes of AAV, including the percentage of full capsids and quantification of AAV dimers. By using this optimized SEC method, we demonstrated that significantly increased free DNA was observed with increasing freeze/thaw cycles or at a temperature approaching the onset temperature for genome DNA ejection, which was effectively mitigated by the addition of 1.5% w/v sucrose in the AAV formulation. Thus, this optimized SEC method can serve as an invaluable tool for AAV formulation, product, and process development in ensuring the quality and stability of AAV gene therapy products.
Competing Interests: Declarations. Competing interests: All authors are employees of Regeneron Pharmaceuticals, Inc. The authors declare that they have no known competing interests or personal relationships that could have appeared to influence the work reported in this paper.
(© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature.)