path(MESH:"Spatial Learning")
Mice with ablated meningeal lymphatic vessels also showed significant deficits in spatial learning in the MWM (Fig. 1k–o) PubMed:30046111
Similar impairments in spatial learning and memory were observed in mice that had undergone lymphatic ligation (Extended Data Fig. 5g–j), supporting the notion that the observed effect is a result of dysfunctional meningeal lymphatic drainage and not an artefact of the ablation method using visudyne PubMed:30046111
However, AAV1-CMV-mVEGF-C treatment resulted in significant improvement in the latency to platform and in the percentage of allocentric navigation strategies, in the MWM reversal at 12–14 months (Extended Data Fig. 7q, t) and in the MWM acquisition and reversal at 20–22 months (Extended Data Fig. 7r, u), compared to AAV1-CMV-eGFP-treated age-matched mice PubMed:30046111
NACHO knockout mice also showed deficits of spontaneous alternation in the Y-maze compared to wild-type littermates (Figure S2E) PubMed:28445721
Compared to age matched wild-type mice, 32 week-old Tg Tau P301S mice did not show spatial learning impairment in the RAWM (data not shown) DOI:10.4172/2168-975X.1000126
It improved ICV A 1-42-activated spatial learning, and memory deficiencies were ameliorated via the interference of NF-B signaling and the inhibition of inflammatory cytokines [155]. PubMed:29179999
It ameliorated spatial learning and memory disorder, which was caused by A 1-42 and was associated with the inter-ference of NF-B activity and the inhibition of IL-1 and TNF-expression [183]. PubMed:29179999
BEL Commons is developed and maintained in an academic capacity by Charles Tapley Hoyt and Daniel Domingo-Fernández at the Fraunhofer SCAI Department of Bioinformatics with support from the IMI project, AETIONOMY. It is built on top of PyBEL, an open source project. Please feel free to contact us here to give us feedback or report any issues. Also, see our Publishing Notes and Data Protection information.
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.