What are the primary challenges in assessing AAV capsid biodistribution in the NHP central nervous system (CNS)?
The primary challenges include bypassing the blood-brain barrier, navigating complex CNS tissue architecture, and achieving precise quantification. Validated, sensitive analytical methods are required to accurately measure vector copy numbers and transgene expression, differentiating on-target delivery from non-target tissue biodistribution across multiple brain regions and the spinal cord.
How does neonatal AAV administration influence long-term transgene expression and immunogenicity for CNS targets?
Neonatal systemic AAV administration can influence long-term outcomes by inducing immunological tolerance to the transgene product. This strategy mitigates the risk of neutralizing antibody formation, enabling more durable expression following subsequent CNS-directed administration in gene therapy applications.
Why do AAV transduction patterns in the liver differ between species, and how does this impact CNS-directed study design?
Observed patterns of liver transduction can differ between rodent models and non-human primates. This affects predictions of vector clearance, potential liver-related safety findings, and systemic transgene expression. Accurate modeling in NHPs provides predictive data for de-risking clinical translation and correctly interpreting biodistribution data for CNS-targeted vectors.
What GxP-compliant analytical methods are used to quantify vector distribution and transgene expression in NHP CNS tissues?
Our studies operate within a GxP framework, employing a suite of validated assays. These include ddPCR for absolute vector copy number quantification, RT-qPCR for mRNA transcript analysis, ELISA or MSD for protein quantification, and advanced Histology techniques such as immunohistochemistry (IHC) and in situ hybridization (ISH) for spatial analysis of transgene expression at the cellular level.
Translating AAV gene therapy programs for CNS disorders from small animal models to human clinical trials requires rigorous evaluation in non-human primates (NHPs). NHP models provide the most predictive data on capsid tropism, biodistribution, efficacy, and potential immunogenicity. This page outlines Franklin Biolabs’ approach to executing these complex pharmacology studies, focusing on quantitative analytics and strategic study designs that generate IND-enabling data.