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a(HM:"Blood Transfusion, Chronic")

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

Entity

Name
Blood Transfusion, Chronic
Namespace
HM
Namespace Version
None
Pattern
.*

Appears in Networks 1

Heme Curation v0.0.1-dev

Mechanistic knowledge surrounding heme

In-Edges 0

Out-Edges 4

a(HM:"Blood Transfusion, Chronic") increases path(MESH:Hemochromatosis) View Subject | View Object

Conversely, chronic transfusions associated with b-thalassemia major and sickle cell disease lead to hemochromatosis with end organ injury. PubMed:30281034

Appears in Networks:
Annotations
Cell Ontology (CL)
erythrocyte
Text Location
Review

a(HM:"Blood Transfusion, Chronic") increases path(MESH:Hemochromatosis) View Subject | View Object

Accumulation of iron in tissue parenchyma with subsequent hemochromatosis is a well-known problem in chronic transfusion-dependent diseases such as b-thalassemia major, and in sickle cell disease patients when stroke prevention is indicated. PubMed:30281034

Appears in Networks:
Annotations
Cell Ontology (CL)
erythrocyte
MeSH
Anemia, Sickle Cell
MeSH
beta-Thalassemia
Text Location
Review

a(HM:"Blood Transfusion, Chronic") increases a(MESH:Iron, loc(MESH:Heart)) View Subject | View Object

For example, cardiac iron accumu -lation is more common in transfused thalassemia patients, whereas liver iron accumulation is most common in transfused sickle cell disease patients. PubMed:30281034

Appears in Networks:
Annotations
Cell Ontology (CL)
erythrocyte
MeSH
beta-Thalassemia
Text Location
Review

a(HM:"Blood Transfusion, Chronic") increases a(MESH:Iron, loc(MESH:Liver)) View Subject | View Object

For example, cardiac iron accumu -lation is more common in transfused thalassemia patients, whereas liver iron accumulation is most common in transfused sickle cell disease patients. PubMed:30281034

Appears in Networks:
Annotations
Cell Ontology (CL)
erythrocyte
MeSH
Anemia, Sickle Cell
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.