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Baicalin ameliorates behavioral and physiological deficits in Gtf2i-duplication mice and modulates synaptic activity in 7q11.23 Duplication Syndrome patient-derived neurons

Peles, D.; Netser, S.; Ray, N.; Suliman, T.; Stern, S.; Wagner, S.

2026-02-13 neuroscience
10.64898/2026.02.12.705480 bioRxiv
Show abstract

7q11.23 Duplication Syndrome (7Dup) is a type of syndromic autism spectrum disorder caused by duplication of a typically 1.5-1.8 Mb segment in section q11.23 of chromosome 7, including 25-27 genes. Previous work has highlighted the GTF2I gene as playing a major role in the phenotype of 7Dup patients. Accordingly, mice with Gtf2i duplication (Gtf2i+/dup) are commonly used as an animal model of 7Dup. We previously reported deficits in several behavioral and physiological modalities, which were associated with Gtf2i dosage in mice conducting a battery of social discrimination tests. Here, we report the effect of treating Gtf2i+/dup mice with Baicalin, a naturally occurring flavonoid added to the mices drinking water (0.15 mg/ml), on these deficits. We found that Baicalin treatment ameliorated the higher surface temperature observed in Gtf2i+/dup males and the lower tail temperature observed in Gtf2i+/dup females during the social behavior tests. It also prevented the increased defecation rate exhibited by Gtf2i+/dup mice during the social preference test. We further analyzed the effect of Baicalin treatment on cortical neurons differentiated from 7Dup patient-derived IPSCs. Using whole cell patch clamp and calcium imaging, we found an increased rate of excitatory postsynaptic currents in Baicalin-treated cells, without a change in their firing rate, indicating a stronger synaptic activity in the Baicalin-treated cells. Altogether, our results reveal that Baicalin administration alleviates some of the behavioral and physiological effects of Gtf2i duplication in mice, and affects neuronal activity in cultured 7Dup human neurons. Thus, Baicalin administration has the potential to serve as a treatment for 7Dup patients.

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