AAV Capsids for NHPs
AAV Cross-species Issues
Animal models play a critical role in screening AAVs designed to target specific tissues. Recent studies have highlighted a key finding: AAVs can perform differently across species and animal strains, underscoring the importance of cross-species testing [Tabebordba et al., 2021; Gonzalez et al., 2022]. For instance, AAV-PHP.B displayed the ability to cross the blood-brain barrier (BBB) in specific mouse strains but not in non-human primates (NHPs) [Hordeaux et al., 2018; Matsuzaki et al., 2019]. To identify variants that are more likely to be effective in humans, it is essential to conduct variant screening in a range of animal models and human-based systems, ensuring the selection of AAVs with translatable performance.
The directed evolution of a random peptide insertion library of AAV9 (VR-VIII) led to the development of the AAV-PHP family, with AAV-PHP.B showing significantly enhanced BBB-crossing capabilities in mice. Subsequent engineering of AAV-PHP.B resulted in the creation of AAV-PHP.eB, which retains the same peptide insertion but incorporates additional flanking substitutions. AAV-PHP.eB demonstrated efficient central nervous system (CNS) transduction in mice, achieving 55–76% neuron transduction depending on the region—more than 2.5 times that of AAV-PHP.B. Further modifications led to liver de-targeted variants of AAV-PHP.eB, including AAV.CAP-B10 and AAV.CAP-B22. AAV.CAP-B10 maintained CNS targeting in mice while exhibiting reduced transduction of peripheral organs and a 50-fold decrease in liver tropism compared to AAV-PHP.eB, and over 100-fold compared to AAV9. This variant showed specific neuronal targeting within the CNS, with fewer transduced astrocytes and oligodendrocytes compared to AAV-PHP.eB. Notably, AAV.CAP-B10 achieved broad and robust transgene expression in the CNS of adult marmosets, with a 4-fold increase in CNS transduction over AAV9 and a 17-fold reduction in liver expression compared to AAV9. However, when administered as a pool in infant rhesus macaques, AAV.CAP-B10 produced only slightly higher CNS enrichment compared to AAV9. AAV.CAP-B22, another variant, demonstrated even higher CNS transduction in marmosets, achieving a 12-fold increase compared to AAV9. However, it also showed greater astrocyte transduction than both AAV9 and AAV.CAP-B10. While AAV.CAP-B22 showed similar liver tropism to AAV9, it did not effectively translate in newborn rhesus macaques.
| AAV Capsids | AAV-Php.B | AAV-Php.eB | AAV.Cap-B10 | AAV.Cap-B22 |
Backbone | AAV9 | Php.B | Php.eB | Php.eB |
Engineering sites | VR-VIII | VR-VIII flanking substitutions | VR-IV | VR-IV |
Mouse | Yes | Yes | Yes | Yes |
NHP-Marmoset | NO | 4-fold | 4-fold | 12-fold |
NHP-Rhesus macaques | NO | NO | NO | NO |
Liver de-targeting | NO | Yes | Yes | NO |
NHP Models for Researches
Non-human primates (NHPs) are indeed valuable models for AAV capsid evolution and evaluation due to their close similarities to humans in terms of tissue structure, immune response, and cognitive function. Below is a list of the commonly used monkey models in AAV research:
- Rhesus Macaque (Macaca mulatta)
- Widely used due to their genetic, physiological, and immunological similarity to humans.
- Frequently employed in studies of neurological diseases, retinal disorders, and liver-targeted gene therapies.
- Cynomolgus Macaque (Macaca fascicularis)
- Another popular model, particularly in toxicology and immunogenicity studies.
- Often used for evaluating AAV capsid tropism and safety in liver, muscle, and CNS-targeted therapies.
- Marmoset (Callithrix jacchus)
- Smaller size and shorter lifespan make them cost-effective for certain studies.
- Used in neuroscience research and retinal gene therapy due to their well-characterized visual system.
- African Green Monkey (Chlorocebus sabaeus)
- Known for their use in vaccine development and infectious disease research.
- Gaining traction in AAV studies due to their relevance in immunogenicity assessments.
- Pig-tailed Macaque (Macaca nemestrina)
- Used in neurological and retinal studies because of their larger brain size compared to other macaques.
- Valuable for evaluating AAV delivery to the central nervous system (CNS).
- Squirrel Monkey (Saimiri spp.)
- Smaller NHP model used in neuroscience and retinal research.
- Suitable for studies requiring a smaller primate model with similar ocular and neural anatomy to humans.
These NHP models provide critical preclinical data on AAV capsid performance, helping researchers optimize tissue targeting, safety profiles, and therapeutic efficacy before advancing to human clinical trials. The choice of model depends on the specific research goals, such as the target tissue, disease type, and the need for immunological or neurological relevance.
AAV Capsid Biodistribution Data in NHPs
We have characterized approximately 500 AAV transduction properties across various tissues in both non-human primate (NHP) and mouse models using our advanced ATHENA-I platform. Researchers interested in accessing or collaborating on this rich dataset are encouraged to contact us to explore potential partnerships. Additionally, we warmly welcome gene therapy companies to invest in our ongoing efforts to develop tailored AAV capsids, especially those optimized and validated using NHP models. Collaborating with us offers a unique opportunity to accelerate capsid innovation with robust preclinical data in relevant species, ultimately enhancing the success of gene therapy programs.
AAV Capsid Evolution Platform at AAVnerGene-ATHENA
At AAVnerGene, we developed ATHENA AAV screening platforms, which allow users to quickly evaluate, evolve, and create AAV serotypes or variants tailored for specific therapeutic applications.
- ATHENA-I platform is used to systematically evaluate different AAV serotypes or variants by using Barcode-Seq technology.
- ATHENA-II platform is designed to evolve novel AAV capsid with tissue-specific tropism from high complexity random peptide insert library.
- ATHENA-III is a rational DNA shuffling library used to create novel hybrid AAV capsids.
By combining the three sub-platforms with AI, the ATHENA platform can efficiently identify, evolve and create the best AAV capsids for specific applications, potentially improving the effectiveness of gene therapy and reducing costs.
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