Back

Intracellular accumulation of AAV6 genomes governs microglia reactivity and the inflammatory response in retinal gene therapy

Pereira, A.; Ducloyer, J.-B.; Demilly, J.; Toublanc, E.; Libeau, L.; Robert, B.; Mellet, A.; Augereau, D.; Comtesse, L.; Larcher, T.; Lebreton, A.; Socheleau, P.; Grard, M.; Journou, M.; Couzinie, C.; Blouin, V.; Weber, M.; Le Meur, G.; Le Guiner, C.; Adjali, O.; Cronin, T.

2026-10-11 neuroscience
10.64898/2026.10.09.757886 bioRxiv
Show abstract

Adeno-associated viral (AAV) vectors possess immense potential for gene therapy applications. However, microglia can mount an immune response against AAV vectors. Yet, microglia are therapeutic targets since they play a driving role in the progression of neurodegenerative diseases. Thus, it is critical to understand the cellular processes driving the microglia-mediated immune response against AAV vectors. To this end, we modelled AAV6 induced inflammation upon retinal gene therapy in minipigs. Upon AAV6 administration, the IBA1+ cells demonstrated a morphological transition to the amoeboid form, indicating microglial reactivity. We also observed the invasion of peripheral immune cells in the retina. To elucidate the underlying molecular mechanisms, we transduced human iPSC derived microglia-like cells (iMGLs) in vitro with AAV6 and AAV8 respectively. Only AAV6 transduced iMGLs exhibited morphological features and a transcriptomic signature of microglial reactivity. The magnitude of intracellular AAV6 viral genomes was significantly higher as compared to the AAV8 condition. The elevated levels of intracellular AAV6 genomes induced a DNA damage response in AAV6-transduced iMGLs, which is a key feature of neuroinflammation-linked microglial reactivity. Thus, our work highlights the impact of intracellular viral genome accumulation on microglial reactivity and its implications for retinal gene therapy associated inflammation.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.