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Selective activation of α7 nicotinic acetylcholine receptor by PHA-543613 improves Aβ25-35-mediated cognitive deficits in mice 1.0.0

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charles.hoyt@scai.fraunhofer.de at 2019-02-27 16:20:51.279755
Authors
Rana Aldisi
Contact
charles.hoyt@scai.fraunhofer.de
License
CC BY 4.0
Copyright
Copyright © 2018 Fraunhofer Institute SCAI, All rights reserved.
Number Nodes
11
Number Edges
35
Number Components
1
Network Density
0.318181818181818
Average Degree
3.18181818181818
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
Nicotinic acetylcholine receptor signalling: roles in Alzheimer's disease and amyloid neuroprotection. v1.0.0 64%
Role of the nicotinic acetylcholine receptor in Alzheimer's disease pathology and treatment v1.0.1 55%
albuquerque2009 v1.0.0 45%
Alzheimer's Disease: Targeting the Cholinergic System v1.0.0 45%
Nicotinic receptors: allosteric transitions and therapeutic targets in the nervous system v1.0.0 36%
Tau Modifications v1.9.5 36%
Phytochemicals as inhibitors of NF-κB for treatment of Alzheimer’s disease v1.0.0 36%
Amyloid-Binding Alcohol Dehydrogenase (ABAD) Inhibitors for the Treatment of Alzheimer’s Disease v1.0.0 27%
The Ubiquitin–Proteasome System and the Autophagic–Lysosomal System in Alzheimer Disease v1.0.0 27%
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 27%

Sample Edges

p(MGI:App) hasVariant p(MGI:App, frag("25_35")) View Subject | View Object

a(CHEBI:galanthamine) decreases act(p(MGI:App, frag("25_35"))) View Subject | View Object

Moreover in Ab-received mice, treatment with PHA and Gal improved the acquisition performance on comparing with the normal saline group (p<0.001) PubMed:25881725

a(CHEBI:galanthamine) increases bp(GO:learning) View Subject | View Object

Moreover in Ab-received mice, treatment with PHA and Gal improved the acquisition performance on comparing with the normal saline group (p<0.001) PubMed:25881725

a(CHEBI:galanthamine) increases path(MESH:"Spatial Memory") View Subject | View Object

The analysis also showed significant enhancing effects of PHA and Gal on the time spent in the target quadrant on comparing with the normal saline in AD mice (p<0.001). Also, in comparison with the control group, PHA-treated AD animals did not have a significant difference (p>0.05) on the time spent in the target quadrant, but in the Gal group it was significantly lower (p<0.001) (Fig. 3). PubMed:25881725

Annotations
MeSH
Alzheimer Disease

a(CHEBI:galanthamine) causesNoChange r(MGI:Chrna7) View Subject | View Object

Also, no alterations in the expression of a7 nAChR mRNA were observed in pretreatment with normal saline or MLA in PHA- or Gal-treated groups (p>0.05). In the same way, the pattern of mRNA expression in the cortex (data not shown) was similar to the hippocampus (Fig. 7). PubMed:25881725

Annotations
MeSH
Cerebral Cortex
MeSH
Hippocampus

Sample Nodes

bp(GO:learning)

In-Edges: 52 | Out-Edges: 24 | Explore Neighborhood | Download JSON

path(MESH:"Alzheimer Disease")

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

p(MGI:App)

In-Edges: 2 | Out-Edges: 7 | Explore Neighborhood | Download JSON

a(CHEBI:galanthamine)

In-Edges: 7 | Out-Edges: 33 | Classes: 3 | Explore Neighborhood | Download JSON

a(HBP:"amyloid-beta oligomers")

In-Edges: 13 | Out-Edges: 37 | Classes: 1 | 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.