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  3. path(MESH:"Hypertrophy, Left Ventricular")

path(MESH:"Hypertrophy, Left Ventricular")

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

Entity

Name
Hypertrophy, Left Ventricular
Namespace
mesh
Namespace Version
20180906
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/b46b65c3da259b6e86026514dfececab7c22a11b/external/mesh-names.belns

Appears in Networks 1

Tau protein aggregation is associated with cellular senescence in the brain v1.0.0

In-Edges 2

a(GO:"neurofibrillary tangle") association path(MESH:"Hypertrophy, Left Ventricular") View Subject | View Object

NFTs are highly correlated with the rate of ventricular enlargement, an indicator of brain atrophy and hallmark of AD pathology (Silbert et al., 2003) PubMed:30126037

Appears in Networks:
Annotations
Confidence
High
MeSH
Neurons

bp(GO:"cellular senescence") increases path(MESH:"Hypertrophy, Left Ventricular") View Subject | View Object

Tau transgenic mice with late stage pathology were treated with senolytics to remove senescent cells. Despite the advanced age and disease progression, MRI brain imaging and histopathological analyses indicated a reduction in total NFT density, neuron loss and ventricular enlargement PubMed:30126037

Appears in Networks:
Annotations
Confidence
High
MeSH
Alzheimer Disease

Out-Edges 1

path(MESH:"Hypertrophy, Left Ventricular") association a(GO:"neurofibrillary tangle") View Subject | View Object

NFTs are highly correlated with the rate of ventricular enlargement, an indicator of brain atrophy and hallmark of AD pathology (Silbert et al., 2003) PubMed:30126037

Appears in Networks:
Annotations
Confidence
High
MeSH
Neurons

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.