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  3. path(MESH:"Cognition Disorders")

path(MESH:"Cognition Disorders")

Equivalencies: 0 | Classes: 0 | Children: 0 | Explore

Entity

Name
Cognition Disorders
Namespace
mesh
Namespace Version
20181007
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/8ccfed235e418e4c8aa576f9a5ef0f838e794c7f/external/mesh-names.belns

Appears in Networks 2

Role of the nicotinic acetylcholine receptor in Alzheimer's disease pathology and treatment v1.0.1

Neuronal and Extraneuronal Nicotinic Acetylcholine Receptors. v1.0.0

In-Edges 3

p(MGI:Chrna7) decreases path(MESH:"Cognition Disorders") View Subject | View Object

The contextual fear conditioning and the novel object recognition tasks both showed that the cognitive deficits worsen when alpha7 is absent PubMed:25514383

Appears in Networks:
Annotations
MeSH
Alzheimer Disease

p(FPLX:CHRN) regulates path(MESH:"Cognition Disorders") View Subject | View Object

These experiments confirmed that the level of expression of APP and the consequent synthesis of Ab were comparable between mouse lines, demonstrating that the difference in cognitive deficit and neuropathology were mediated exclusively by the nicotinic recept PubMed:25514383

Appears in Networks:
Annotations
MeSH
Alzheimer Disease

p(MESH:"Receptors, Nicotinic") association path(MESH:"Cognition Disorders") View Subject | View Object

nAChRs contribute to cognitive function, and changes in their number and/or func- tion are associated with various pathological conditions such as cognitive disorders, anxiety, depression, Alzheimer’s and Parkinson’s disease, pain and epilepsy PubMed:28901280

Appears in Networks:

Out-Edges 1

path(MESH:"Cognition Disorders") association p(MESH:"Receptors, Nicotinic") View Subject | View Object

nAChRs contribute to cognitive function, and changes in their number and/or func- tion are associated with various pathological conditions such as cognitive disorders, anxiety, depression, Alzheimer’s and Parkinson’s disease, pain and epilepsy PubMed:28901280

Appears in Networks:

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.