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path(MESH:"Neurologic Manifestations")

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

Entity

Name
Neurologic Manifestations
Namespace
MeSH
Namespace Version
20181007
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/01c9daa61012b37dd0a1bc962521ba51a15b38f1/external/mesh-names.belns

Appears in Networks 1

Amelioration of Experimental Autoimmune Encephalomyelitis by Anatabine v1.0.0

In-Edges 1

p(MGI:Stat3, pmod(Ph)) association path(MESH:"Neurologic Manifestations") View Subject | View Object

Interestingly, a statistically significant correlation was observed between the amount of STAT3 phosphorylation detected in brain homogenates and the clinical severity of EAE (Pearson correlation = 0.653, P<0.001) but not with p65 NFkB phosphorylation (Pearson correlation = 0.371, P= 0.062) suggesting that STAT3 may play a more preponderant role than NFkB in the development of neurological deficits of EAE PubMed:23383175

Appears in Networks:
Annotations
MeSH
Brain

Out-Edges 1

path(MESH:"Neurologic Manifestations") association p(MGI:Stat3, pmod(Ph)) View Subject | View Object

Interestingly, a statistically significant correlation was observed between the amount of STAT3 phosphorylation detected in brain homogenates and the clinical severity of EAE (Pearson correlation = 0.653, P<0.001) but not with p65 NFkB phosphorylation (Pearson correlation = 0.371, P= 0.062) suggesting that STAT3 may play a more preponderant role than NFkB in the development of neurological deficits of EAE PubMed:23383175

Appears in Networks:
Annotations
MeSH
Brain

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.