Name
Alzheimer Disease
Namespace Keyword
MeSHDisease
Namespace
MeSH
Namespace Version
20170511
Namespace URL
https://arty.scai.fraunhofer.de/artifactory/bel/annotation/mesh-diseases/mesh-diseases-20170511.belanno

Sample Annotated Edges 5

a(CHEBI:"amyloid-beta") positiveCorrelation path(MESH:"Alzheimer Disease") View Subject | View Object

These findings showed that prominent meningeal amyloid-β deposition observed in patients with Alzheimer’s disease is also observed in mouse models of Alzheimer’s disease after meningeal lymphatic vessel ablation PubMed:30046111

a(CHEBI:"amyloid-beta") association a(MESH:Macrophages) View Subject | View Object

Macrophages in the dura of cases with Alzheimer’s disease were also found in close proximity to amyloid-β deposits (Fig. 3l) PubMed:30046111

act(a(MESH:"Lymphatic Vessels")) increases act(p(MGI:Vegfc)) View Subject | View Object

Collectively, these data point to no apparent meningeal lymphatic dysfunction in transgenic mice with Alzheimer’s disease at younger ages, which might explain the inefficacy of mVEGF-C treatment PubMed:30046111

a(MESH:"Lymphatic Vessels") decreases a(CHEBI:"amyloid-beta") View Subject | View Object

These findings showed that prominent meningeal amyloid-β deposition observed in patients with Alzheimer’s disease is also observed in mouse models of Alzheimer’s disease after meningeal lymphatic vessel ablation PubMed:30046111

a(MESH:Macrophages) association a(CHEBI:"amyloid-beta") View Subject | View Object

Macrophages in the dura of cases with Alzheimer’s disease were also found in close proximity to amyloid-β deposits (Fig. 3l) PubMed:30046111

About

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.