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Anti-inflammatory activity of anatabine via inhibition of STAT3 phosphorylation 1.0.0

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charles.hoyt@scai.fraunhofer.de at 2019-02-27 16:20:56.616542
Authors
Sandra Spalek
Contact
charles.hoyt@scai.fraunhofer.de
License
CC BY 4.0
Copyright
Copyright © 2018 Fraunhofer Institute SCAI, All rights reserved.
Number Nodes
25
Number Edges
77
Number Components
2
Network Density
0.128333333333333
Average Degree
3.08
Number Citations
1
Number BEL Errors
0

Content Statistics

Network Overlap

The node-based overlap between this network and other networks is calculated as the Szymkiewicz-Simpson coefficient of their respective nodes. Up to the top 10 are shown below.

Network Overlap
Phytochemicals as inhibitors of NF-κB for treatment of Alzheimer’s disease v1.0.0 40%
Amelioration of Experimental Autoimmune Encephalomyelitis by Anatabine v1.0.0 29%
Upstream regulators and downstream effectors of NF-κBinAlzheimer's disease v1.0.0 28%
Heme Curation v0.0.1-dev 28%
Anatabine ameliorates experimental autoimmune thyroiditis. v1.0.0 27%
Anatabine lowers Alzheimer's Aβ production in vitro and in vivo v1.0.0 25%
Chronic Anatabine Treatment Reduces Alzheimer ’ s Disease (AD)-Like Pathology and Improves Socio-Behavioral Deficits in a Transgenic Mouse Model of AD v1.0.0 25%
Tau protein aggregation is associated with cellular senescence in the brain v1.0.0 24%
Nuclear Factor Kappa-light-chain-enhancer of Activated B Cells (NF-κB) - a Friend, a Foe, or a Bystander - in the Neurodegenerative Cascade and Pathogenesis of Alzheimer's Disease v1.0.0 24%
Significance of NF-κB as a pivotal therapeutic target in the neurodegenerative pathologies of Alzheimer's disease and multiple sclerosis v1.0.0 24%

Sample Edges

p(HGNC:STAT3) hasVariant p(HGNC:STAT3, pmod(Ph)) View Subject | View Object

a(CHEBI:Anatabine) decreases p(HGNC:STAT3, pmod(Ph)) View Subject | View Object

We observed that anatabine inhibits basal STAT3 phosphorylation levels (Mann– Whitney U=0, Z=-2.882, P=0.004) and reduces the induction of p65 NFkB phosphorylation by TNFa (Mann–Whitney U=0, Z=-2.882, P=0.004) within this 15 min time-frame (Fig. 1) PubMed:23178521

Annotations
Experimental Factor Ontology (EFO)
SH-SY5Y

a(CHEBI:Anatabine) decreases p(HGNC:STAT3, pmod(Ph)) View Subject | View Object

Under these culture conditions, anatabine also inhibited both STAT3 and p65 NFkB phosphorylation induced by TNFa (Fig. 2) PubMed:23178521

Annotations
Experimental Factor Ontology (EFO)
SH-SY5Y

a(CHEBI:Anatabine) decreases p(HGNC:STAT3, pmod(Ph)) View Subject | View Object

A significant inhibition of STAT3 phosphorylation was observed with 600 mg/ml of anatabine (Mann–Whitney U=0, Z=-2.309, P=0.021) and with 800 mg/ml of anatabine (Mann–Whitney U=0, Z=-2.309, P=0.021) and a significant inhibition of p65 NFkB phosphorylation was observed with 600 mg/ml of anatabine (Mann–Whitney U=1.0, Z=-2.021, P=0.043) and with 800 mg/ml of anatabine (Mann–Whitney U=0,Z=-2.309, P=0.021) PubMed:23178521

Annotations
Experimental Factor Ontology (EFO)
SH-SY5Y

a(CHEBI:Anatabine) decreases p(HGNC:STAT3, pmod(Ph)) View Subject | View Object

We observed that anatabine significantly suppressed the stimulation of p65 NFkB and STAT3 phosphorylation by LPS in microglia (Fig. 3) PubMed:23178521

Annotations
Cell Ontology (CL)
microglial cell

Sample Nodes

a(MESH:Microglia)

In-Edges: 19 | Out-Edges: 25 | Explore Neighborhood | Download JSON

bp(GO:"inflammatory response")

In-Edges: 55 | Out-Edges: 24 | Explore Neighborhood | Download JSON

path(MESH:"Alzheimer Disease")

In-Edges: 536 | Out-Edges: 704 | Classes: 5 | Explore Neighborhood | Download JSON

a(CHEBI:nicotine)

In-Edges: 70 | Out-Edges: 181 | Explore Neighborhood | Download JSON

p(HGNC:STAT3)

In-Edges: 13 | Out-Edges: 6 | Explore Neighborhood | Download JSON

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.