Name
High
Namespace Keyword
Confidence
Namespace
Confidence
Namespace Version
20170430
Namespace URL
https://arty.scai.fraunhofer.de/artifactory/bel/annotation/confidence/confidence-1.0.0.belanno

Sample Annotated Edges 5

tloc(a(CHEBI:"amyloid-beta"), fromLoc(MESH:Blood), toLoc(MESH:"Cerebrospinal Fluid")) regulates deg(a(CHEBI:"amyloid-beta")) View Subject | View Object

By contrast, the parenchyma of the CNS is devoid of lymphatic vasculature2; in the brain, removal of cellular debris and toxic molecules, such as amyloid-β peptides, is mediated by a combination of transcellular transport mechanisms across the blood−brain and blood−cerebrospinal fluid (CSF) barriers7–9, phagocytosis and digestion by resident microglia and recruited monocytes and/or macrophages10,11, as well as CSF influx and ISF efflux through a paravascular (glymphatic) route12–14 PubMed:30046111

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

Analysis of lymphoid and myeloid cell populations in the meninges (Extended Data Fig. 9d) demonstrated a significant increase in the number of macrophages upon lymphatic ablation compared to both control groups (Extended Data Fig. 9e), which might be correlated with increased amyloid-β deposition and inflammation in the meninges 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

a(CHEBI:verteporfin) decreases a(MESH:"Lymphatic Vessels") View Subject | View Object

The use of this method resulted in effective ablation of meningeal lymphatic vessels (Fig. 1b, c), without any detectable off-target effects in the coverage of meningeal blood vasculature seven days after the procedure (Fig. 1d) PubMed:30046111

a(CHEBI:verteporfin) decreases act(a(MESH:"Lymphatic Vessels")) View Subject | View Object

A significant reduction in OVA-A647 drainage was observed in the visudyne with photoconversion group compared to the control groups (Extended Data Fig. 1b) 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.