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path(MESH:D003072)

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Entity

Name
D003072
Namespace
MeSH
Namespace Version
20181007
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/01c9daa61012b37dd0a1bc962521ba51a15b38f1/external/mesh.belns

Appears in Networks 1

Cholinergic system during the progression of Alzheimer’s disease: therapeutic implications v1.0.0

In-Edges 3

a(MESHC:"pro-nerve growth factor, human") positiveCorrelation path(MESH:D003072) View Subject | View Object

Significantly, while we have shown that reduced TrkA levels in the cortex were positively associated with lower cognitive performance as assessed by Mini-Mental State Exam (MMSE) test scores [64], increased cortical proNGF levels were negatively correlated with MMSE performance [61]. PubMed:18986241

Appears in Networks:
Annotations
Disease Ontology (DO)
Alzheimer's disease
MeSH
Cerebral Cortex
MeSH
Cognitive Dysfunction

p(HGNC:NTRK1) negativeCorrelation path(MESH:D003072) View Subject | View Object

Significantly, while we have shown that reduced TrkA levels in the cortex were positively associated with lower cognitive performance as assessed by Mini-Mental State Exam (MMSE) test scores [64], increased cortical proNGF levels were negatively correlated with MMSE performance [61]. PubMed:18986241

Appears in Networks:
Annotations
Disease Ontology (DO)
Alzheimer's disease
MeSH
Cerebral Cortex
MeSH
Cognitive Dysfunction

act(p(HGNC:MMP9)) positiveCorrelation path(MESH:D003072) View Subject | View Object

We found an upregulation of MMP-9 protein levels and activity in both AD and MCI brains, which correlated inversely with cognitive status (Figure 1B) [75]. Since tissue alterations are often reflected in bodily fluids, determination of MMPs in blood, urine and CSF has been recommended as potential biomarkers to act as diagnostic measures to characterize the disease process that occurs in the brain [76–78]. Interestingly, plasma MMP-9 was increased in MCI and AD [77]. PubMed:18986241

Appears in Networks:
Annotations
MeSH
Brain
MeSH
Plasma
MeSH
Cognitive Dysfunction

Out-Edges 3

path(MESH:D003072) negativeCorrelation p(HGNC:NTRK1) View Subject | View Object

Significantly, while we have shown that reduced TrkA levels in the cortex were positively associated with lower cognitive performance as assessed by Mini-Mental State Exam (MMSE) test scores [64], increased cortical proNGF levels were negatively correlated with MMSE performance [61]. PubMed:18986241

Appears in Networks:
Annotations
Disease Ontology (DO)
Alzheimer's disease
MeSH
Cerebral Cortex
MeSH
Cognitive Dysfunction

path(MESH:D003072) positiveCorrelation a(MESHC:"pro-nerve growth factor, human") View Subject | View Object

Significantly, while we have shown that reduced TrkA levels in the cortex were positively associated with lower cognitive performance as assessed by Mini-Mental State Exam (MMSE) test scores [64], increased cortical proNGF levels were negatively correlated with MMSE performance [61]. PubMed:18986241

Appears in Networks:
Annotations
Disease Ontology (DO)
Alzheimer's disease
MeSH
Cerebral Cortex
MeSH
Cognitive Dysfunction

path(MESH:D003072) positiveCorrelation act(p(HGNC:MMP9)) View Subject | View Object

We found an upregulation of MMP-9 protein levels and activity in both AD and MCI brains, which correlated inversely with cognitive status (Figure 1B) [75]. Since tissue alterations are often reflected in bodily fluids, determination of MMPs in blood, urine and CSF has been recommended as potential biomarkers to act as diagnostic measures to characterize the disease process that occurs in the brain [76–78]. Interestingly, plasma MMP-9 was increased in MCI and AD [77]. PubMed:18986241

Appears in Networks:
Annotations
MeSH
Brain
MeSH
Plasma
MeSH
Cognitive Dysfunction

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.