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a(CHEBI:verteporfin)

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Entity

Name
verteporfin
Namespace
chebi
Namespace Version
20180906
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/b46b65c3da259b6e86026514dfececab7c22a11b/external/chebi-names.belns

Appears in Networks 1

Functional aspects of meningeal lymphatics in ageing and Alzheimer’s disease v1.0.0

In-Edges 0

Out-Edges 4

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

Appears in Networks:
Annotations
Confidence
High
MeSH
Meninges

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

Appears in Networks:
Annotations
Confidence
High

a(CHEBI:verteporfin) decreases bp(MESH:"Cerebrovascular Circulation") View Subject | View Object

Brain perfusion by the CSF tracer was found to be significantly lower in the visudyne with photoconversion group than in the control groups (Fig. 1e, f and Extended Data Fig. 2f, g) PubMed:30046111

Appears in Networks:
Annotations
Confidence
High
MeSH
Brain

a(CHEBI:verteporfin) decreases tloc(a(CHEBI:"gadolinium atom"), fromLoc(GO:"extracellular space"), toLoc(MESH:"Cerebrospinal Fluid")) View Subject | View Object

Notably, along with the lower influx of Gd into the parenchyma, we observed higher contrast in signal intensity (over approximately 52 min) in the ventricles of visudyne-treated mice, suggesting that Gd accumulation in the CSF occurred (Extended Data Fig. 3n) PubMed:30046111

Appears in Networks:
Annotations
Confidence
Low

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.