Diabetes mellitus

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

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:

Heme Curation v0.0.1-dev

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:

Heme Curation v0.0.1-dev

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:

Heme Curation v0.0.1-dev

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.