Back

Juvenile AAV-Mediated MEF2C Gene Replacement Ameliorates Selected Phenotypes in Mef2c-Haploinsufficient Mice

Jiao, Z.; Yu, C.; Li, T.; Yuan, Y.; Yang, Y.; Zhang, Y.; Tao, G.; Wang, J.; Du, A.; Qiu, Z.

2026-08-21 neuroscience
10.64898/2026.08.14.744746 bioRxiv
Show abstract

MEF2C haploinsufficiency syndrome is a severe neurodevelopmental disorder for which no disease-directed treatment is available. We investigated whether neuron-directed adeno- associated virus (AAV) delivery of a functional MEF2C coding sequence during the juvenile period could modify disease-relevant phenotypes in mice heterozygous for a Mef2c exon 4 deletion. Transcript-level analysis identified a brain-enriched MEF2C isoform containing the 1 and {beta} regions (nMEF2C) and a skeletal-muscle-enriched isoform containing 2 but lacking {beta} (mMEF2C). Separate human-synapsin-driven AAV vectors encoding either isoform were administered at postnatal day 28. Control-treated Mef2c heterozygous mice retained baseline sociability but lacked social-novelty preference. Mice treated with either nMEF2C or mMEF2C displayed social-novelty preference and improved selected responses to a new social partner, whereas open-field effects were limited. nMEF2C replacement also corrected dark-phase wakefulness and non-rapid eye movement sleep abnormalities and modified selected state- dependent electroencephalographic ratios, without broadly changing absolute band amplitudes or social-contact electroencephalographic activity. Atlas-based whole-brain mapping revealed region-selective reductions in parvalbumin-immunoreactive profiles; direct statistical evidence of cellular rescue was confined to the secondary motor area after nMEF2C treatment. These findings show that selected MEF2C-dependent phenotypes remain modifiable during the juvenile period and support further optimization of MEF2C gene replacement with respect to isoform, dose, expression control, and cellular targeting.

Matching journals

The top 12 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.