a(CHEBI:scopolamine)
Moreover, additional pre-clinical studies with TBPB demonstrated efficacy in reducing antipsychotic-like behaviors and in reversing scopolamine-impaired acquisition of contextual fear.59 Studies in cell lines also demonstrated that TBPB promoted a non-amyloidogenic pathway and decreased Abeta production, indicating that M1 modulation may have efficacy in the treatment of both symptomatic and pathologic features of AD PubMed:24511233
In brain slice electrophysiology studies, BQCA enhanced excitatory postsynaptic currents in medial prefrontal cortical neurons,69 an area critical for higher cognitive, learning, and memory functions.70 In pre-clinical animal studies, BQCA reversed scopolamine-impaired contextual fear conditioning and rescued medial prefrontal cortex-dependent discrimination reversal learning deficits in a transgenic mouse model of AD. PubMed:24511233
More recently, the M1-selective allosteric agonist VU0357017 was discovered, which displayed improved potency via binding to a novel allosteric site on the M1 mAChR. VU0357017 significantly blocked scopolamine-impaired contextual fear conditioning and enhanced spatial and contextual fear learning PubMed:24511233
As expected, AR-R17779 — a selective partial alpha7 nAChR agonist — improved scopolamine-elicited deficits in social recognition, and the 24-hour memory retention interval in unimpaired animals. Repeated doses of AR-R17779 enhanced long-term learning and attenuated working-memory deficits in rats. PubMed:19721446
Moreover, additional pre-clinical studies with TBPB demonstrated efficacy in reducing antipsychotic-like behaviors and in reversing scopolamine-impaired acquisition of contextual fear.59 Studies in cell lines also demonstrated that TBPB promoted a non-amyloidogenic pathway and decreased Abeta production, indicating that M1 modulation may have efficacy in the treatment of both symptomatic and pathologic features of AD PubMed:24511233
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If you find BEL Commons useful in your work, please consider citing: Hoyt, C. T., Domingo-Fernández, D., & Hofmann-Apitius, M. (2018). BEL Commons: an environment for exploration and analysis of networks encoded in Biological Expression Language. Database, 2018(3), 1–11.