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  3. composite(a(CHEBI:homocysteine), p(HGNC:BDNF), p(HGNC:DYRK1A))

composite(a(CHEBI:homocysteine), p(HGNC:BDNF), p(HGNC:DYRK1A))

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

Components

Appears in Networks 1

Tau Modifications v1.9.5

Tau Modifications Sections of NESTOR

In-Edges 0

Out-Edges 4

composite(a(CHEBI:homocysteine), p(HGNC:BDNF), p(HGNC:DYRK1A)) hasComponent a(CHEBI:homocysteine) View Subject | View Object

Appears in Networks:

composite(a(CHEBI:homocysteine), p(HGNC:BDNF), p(HGNC:DYRK1A)) hasComponent p(HGNC:BDNF) View Subject | View Object

Appears in Networks:

composite(a(CHEBI:homocysteine), p(HGNC:BDNF), p(HGNC:DYRK1A)) hasComponent p(HGNC:DYRK1A) View Subject | View Object

Appears in Networks:

composite(a(CHEBI:homocysteine), p(HGNC:BDNF), p(HGNC:DYRK1A)) biomarkerFor path(MESH:"Alzheimer Disease") View Subject | View Object

Receiver-operating characteristic curves and logistic regression analyses showed that combined assessment of DYRK1A, BDNF and homocysteine has a sensitivity of 0.952, a specificity of 0.889 and an accuracy of 0.933 in testing for AD. The blood levels of these markers provide a diagnosis assessment profile. Combined assessment of these three markers outperforms most of the previous markers and could become a useful substitute to the current panel of AD biomarkers. PubMed:28632203

Appears in Networks:
Annotations
Uberon
blood plasma
MeSH
Alzheimer Disease

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.