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a(MESH:"Muscarinic Antagonists")

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Entity

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

Appears in Networks 1

Activation of M1 and M4 muscarinic receptors as potential treatments for Alzheimer's disease and schizophrenia. v1.0.0

This file encodes the article Activation of M1 and M4 muscarinic receptors as potential treatments for Alzheimer’s disease and schizophrenia by Choi et al, 2014

In-Edges 1

path(MESH:"Mental Processes") association a(MESH:"Muscarinic Antagonists") View Subject | View Object

Furthermore, administration of nonselective muscarinic antagonists can induce cognitive deficits and psychosis in humans,16,37 indicating that mAChR activation may provide pro-cognitive and antipsychotic efficacy. PubMed:24511233

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Out-Edges 3

a(MESH:"Muscarinic Antagonists") decreases bp(GO:cognition) View Subject | View Object

In addition, administration of nonselective muscarinic antagonists can produce or exacerbate cognitive deficits in animals,15 as well as in AD patients and both young and old control subjects,16,17 suggesting that mAChRs can directly modulate cognition. PubMed:24511233

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Annotations
MeSH
Alzheimer Disease

a(MESH:"Muscarinic Antagonists") increases path(MESH:"Cognitive Dysfunction") View Subject | View Object

Furthermore, administration of nonselective muscarinic antagonists can induce cognitive deficits and psychosis in humans,16,37 indicating that mAChR activation may provide pro-cognitive and antipsychotic efficacy. PubMed:24511233

Appears in Networks:

a(MESH:"Muscarinic Antagonists") association path(MESH:"Mental Processes") View Subject | View Object

Furthermore, administration of nonselective muscarinic antagonists can induce cognitive deficits and psychosis in humans,16,37 indicating that mAChR activation may provide pro-cognitive and antipsychotic efficacy. PubMed:24511233

Appears in Networks:

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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.