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bp(HBP:neuroinflammation)

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Entity

Name
neuroinflammation
Namespace
HBP
Namespace Version
20181128
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/7e4be528f12abd28be768b62402fba6e083eaf9e/export/hbp-names.belns

Appears in Networks 2

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

Inflammasome Involvement in Alzheimer’s Disease v1.0.0

In-Edges 2

path(MESH:"Plaque, Amyloid") increases bp(HBP:neuroinflammation) View Subject | View Object

The popular amyloid cascade hypothesis posits that the gradual build-up of Abeta plaques leads to neuronal inflammation, dysfunction, and, eventually, cell death. The two brain regions most critically affected by this degeneration are the cortex and hippocampus, both of which are involved in cognition, learning, and memory. PubMed:24511233

Appears in Networks:
Annotations
MeSH
Cerebral Cortex
MeSH
Hippocampus

sec(a(MESH:Interleukins)) association bp(HBP:neuroinflammation) View Subject | View Object

This family serves several biological functions but if inappropriately secreted can lead to manifestation of depressive behaviors typ- ically associated with dementia onset and chronic neuroinflammation. PubMed:27314526

Appears in Networks:
Annotations
Confidence
Medium
NeuroMMSigDB
Interleukin signaling subgraph

Out-Edges 1

bp(HBP:neuroinflammation) association sec(a(MESH:Interleukins)) View Subject | View Object

This family serves several biological functions but if inappropriately secreted can lead to manifestation of depressive behaviors typ- ically associated with dementia onset and chronic neuroinflammation. PubMed:27314526

Appears in Networks:
Annotations
Confidence
Medium
NeuroMMSigDB
Interleukin signaling subgraph

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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.