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a(MESH:"Hypothalamo-Hypophyseal System")

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

Entity

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

Appears in Networks 1

Alzheimer's Disease: Targeting the Cholinergic System v1.0.0

In-Edges 3

a(CHEBI:Mecamylamine) decreases act(a(MESH:"Hypothalamo-Hypophyseal System")) View Subject | View Object

In a work that evaluated the function of the cholinergic system in mediating the response to stress it was found that treatment of rats with the antagonist of the nicotinic receptor, mecamylamine, attenuates the activation of the HPA axis in response to a stressor agent PubMed:26813123

Appears in Networks:

a(CHEBI:acetylcholine) regulates a(MESH:"Hypothalamo-Hypophyseal System") View Subject | View Object

Stress is another factor that can regulate ACh release in the forebrain and its function on the hypothalamic-pituitaryadrenal (HPA) system can modulate biological and emotional outcomes PubMed:26813123

Appears in Networks:

a(MESH:"Receptors, Nicotinic") increases act(a(MESH:"Hypothalamo-Hypophyseal System")) View Subject | View Object

In a work that evaluated the function of the cholinergic system in mediating the response to stress it was found that treatment of rats with the antagonist of the nicotinic receptor, mecamylamine, attenuates the activation of the HPA axis in response to a stressor agent PubMed:26813123

Appears in Networks:

Out-Edges 0

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.