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a(HBP:HBP00076)

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Entity

Name
HBP00076
Namespace
HBP
Namespace Version
20181029
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/785431732a26d6809b4162d98b95687d16404e63/export/hbp.belns

Appears in Networks 1

Amyloid β oligomers (AβOs) in Alzheimer’s disease v1.0.0

In-Edges 1

path(MESH:"Alzheimer Disease") positiveCorrelation a(HBP:HBP00076) View Subject | View Object

Using a novel misfolded protein assay for the detection of soluble oligomers composed of Aβx-40 and Aβx-42 peptides, Gao and co-workers demonstrated also increased levels of oligomeric Aβ40 in CSF, which may be a potential biomarker for the diagnosis of AD (Gao et al. 2010). PubMed:29196815

Appears in Networks:
Annotations
MeSH
Extracellular Space
Cell Ontology (CL)
neuron
Confidence
High
MeSH
Cerebrospinal Fluid

Out-Edges 2

a(HBP:HBP00076) positiveCorrelation path(MESH:"Alzheimer Disease") View Subject | View Object

Using a novel misfolded protein assay for the detection of soluble oligomers composed of Aβx-40 and Aβx-42 peptides, Gao and co-workers demonstrated also increased levels of oligomeric Aβ40 in CSF, which may be a potential biomarker for the diagnosis of AD (Gao et al. 2010). PubMed:29196815

Appears in Networks:
Annotations
MeSH
Extracellular Space
Cell Ontology (CL)
neuron
Confidence
High
MeSH
Cerebrospinal Fluid

a(HBP:HBP00076) biomarkerFor path(MESH:"Alzheimer Disease") View Subject | View Object

These results suggest that circulating Aβ40 oligomers, and not only Aβ42 oligomers, could be a potential new biomarker in early AD. PubMed:29196815

Appears in Networks:
Annotations
MeSH
Extracellular Space
Cell Ontology (CL)
neuron
Confidence
High
MeSH
Cerebrospinal Fluid

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.