Name
Plasma
Namespace Keyword
MeSHAnatomy
Namespace
MeSH
Namespace Version
20170511
Namespace URL
https://arty.scai.fraunhofer.de/artifactory/bel/annotation/mesh-anatomy/mesh-anatomy-20170511.belanno

Sample Annotated Edges 5

a(HBP:HBP00074) positiveCorrelation path(MESH:"Alzheimer Disease") View Subject | View Object

They revealed increases in AβOs and soluble TNF-R plasma levels that accurately differentiated mild AD patients from control subjects and to some extent from amnestic mild cognitive impairment (aMCI) patients. PubMed:29196815

a(HBP:HBP00074) positiveCorrelation path(MESH:"Cognitive Dysfunction") View Subject | View Object

They revealed increases in AβOs and soluble TNF-R plasma levels that accurately differentiated mild AD patients from control subjects and to some extent from amnestic mild cognitive impairment (aMCI) patients. PubMed:29196815

p(HGNC:NGFR) positiveCorrelation path(MESH:"Alzheimer Disease") View Subject | View Object

They revealed increases in AβOs and soluble TNF-R plasma levels that accurately differentiated mild AD patients from control subjects and to some extent from amnestic mild cognitive impairment (aMCI) patients. PubMed:29196815

p(HGNC:NGFR) positiveCorrelation path(MESH:"Cognitive Dysfunction") View Subject | View Object

They revealed increases in AβOs and soluble TNF-R plasma levels that accurately differentiated mild AD patients from control subjects and to some extent from amnestic mild cognitive impairment (aMCI) patients. PubMed:29196815

path(MESH:"Alzheimer Disease") positiveCorrelation a(HBP:HBP00074) View Subject | View Object

They revealed increases in AβOs and soluble TNF-R plasma levels that accurately differentiated mild AD patients from control subjects and to some extent from amnestic mild cognitive impairment (aMCI) patients. PubMed:29196815

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.