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a(HM:"Labile iron")

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Entity

Name
Labile iron
Namespace
HM
Namespace Version
None
Pattern
.*

Appears in Networks 1

Heme Curation v0.0.1-dev

Mechanistic knowledge surrounding heme

In-Edges 4

a(HM:"Blood Transfusion, Acute") increases a(HM:"Labile iron", loc(MESH:Plasma)) View Subject | View Object

Acute large volume blood transfusion or administration of blood units at later stages of storage causes elevation of bilirubin, Tf saturation and LPI in animals [18&&] and humans [19&&]. PubMed:30281034

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

bp(MESH:Phagocytosis) increases a(HM:"Labile iron", loc(MESH:Plasma)) View Subject | View Object

The causes for RBC-based toxicant exposures are multifactorial; however, following acute transfusion, the most common occurs during the processes of extravascular hemolysis, which includes macrophage erythrophagocytosis followed by macrophage death [1&&], release of iron, transferrin (Tf) saturation and, finally, accumulation of labile plasma iron (LPI) [2]. PubMed:30281034

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

p(HGNC:TF) decreases a(HM:"Labile iron", loc(MESH:Plasma)) View Subject | View Object

Tf is an abundant plasma glycoprotein that normally circulates at a high concentration (2–4mg/ml) to prevent accumulation of LPI. PubMed:30281034

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

p(HGNC:TF) decreases a(HM:"Labile iron", loc(MESH:Plasma)) View Subject | View Object

Sequestration of LPI and prevention of pro-oxidative effects by the administration of apo-Tf may have clinical relevance following acute and chronic transfusion iron overload. PubMed:30281034

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

Out-Edges 0

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.