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Entity

Name
Diabetes mellitus
Namespace
HP
Namespace Version
2017-10-05
Namespace URL
https://arty.scai.fraunhofer.de/artifactory/bel/namespace/hp/hp-20171108.belns

Appears in Networks 1

Heme Curation v0.0.1-dev

Mechanistic knowledge surrounding heme

In-Edges 1

a(HM:"erythrocyte-endothelium adhesion") positiveCorrelation path(HP:"Diabetes mellitus") View Subject | View Object

The most common pathological states in which RBCs interact with the endothelium include sickle cell disease [39], malaria [40], and diabetes [41]. PubMed:28458720

Appears in Networks:
Annotations
MeSH
Veins
MeSH
Anemia, Sickle Cell
MeSH
beta-Thalassemia
Text Location
Review

Out-Edges 2

path(HP:"Diabetes mellitus") decreases bp(MESH:"Erythrocyte Deformability") View Subject | View Object

Some diseases, such as diabetes, hypertension, lower limb vein thrombosis, coronary heart disease, can secondarily alter the properties of RBCs, making them stiffer and prothrombotic [24]. PubMed:28458720

Appears in Networks:
Annotations
MeSH
Veins
Text Location
Review

path(HP:"Diabetes mellitus") positiveCorrelation a(HM:"erythrocyte-endothelium adhesion") View Subject | View Object

The most common pathological states in which RBCs interact with the endothelium include sickle cell disease [39], malaria [40], and diabetes [41]. PubMed:28458720

Appears in Networks:
Annotations
MeSH
Veins
MeSH
Anemia, Sickle Cell
MeSH
beta-Thalassemia
Text Location
Review

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.