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path(MESH:"Transfusion Reaction")

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

Entity

Name
Transfusion Reaction
Namespace
MeSH
Namespace Version
20181007
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/01c9daa61012b37dd0a1bc962521ba51a15b38f1/external/mesh-names.belns

Appears in Networks 1

Heme Curation v0.0.1-dev

Mechanistic knowledge surrounding heme

In-Edges 3

a(HM:"ABO-incompatible erythrocytes") positiveCorrelation path(MESH:"Transfusion Reaction") View Subject | View Object

Immunological incompatibility of transfused RBCs can lead to acute haemolytic transfusion reactions. PubMed:25307023

Appears in Networks:
Annotations
Cell Ontology (CL)
erythrocyte
MeSH
Plasma
MeSH
Urine
MeSH
Anemia, Hemolytic, Autoimmune
Text Location
Review

path(MESH:Death) positiveCorrelation path(MESH:"Transfusion Reaction") View Subject | View Object

Although acute intravascular haemolysis is a rare complication of transfusion, it is among the most feared transfusion-associated complications, principally because death may rapidly ensue. PubMed:25307023

Appears in Networks:
Annotations
Cell Ontology (CL)
erythrocyte
MeSH
Plasma
MeSH
Urine
MeSH
Anemia, Hemolytic, Autoimmune
Text Location
Review

path(MESH:Hemolysis) positiveCorrelation path(MESH:"Transfusion Reaction") View Subject | View Object

It is crucial, hence, to further investigate the mechanisms of sepsis-induced hemolysis with the aim of deriving possible therapeutic principles. Herein, we collected the most important previously known triggers of hemolysis during sepsis, which are (1) transfusion reactions and complement activation, (2) disseminated intravascular coagulation, (3) capillary stopped-flow, (4) restriction of glucose to red blood cells, (5) changes in red blood cell membrane properties, (6) hemolytic pathogens, and (7) red blood cell apoptosis. PubMed:29956069

Appears in Networks:
Annotations
Text Location
Review

Out-Edges 3

path(MESH:"Transfusion Reaction") positiveCorrelation a(HM:"ABO-incompatible erythrocytes") View Subject | View Object

Immunological incompatibility of transfused RBCs can lead to acute haemolytic transfusion reactions. PubMed:25307023

Appears in Networks:
Annotations
Cell Ontology (CL)
erythrocyte
MeSH
Plasma
MeSH
Urine
MeSH
Anemia, Hemolytic, Autoimmune
Text Location
Review

path(MESH:"Transfusion Reaction") positiveCorrelation path(MESH:Death) View Subject | View Object

Although acute intravascular haemolysis is a rare complication of transfusion, it is among the most feared transfusion-associated complications, principally because death may rapidly ensue. PubMed:25307023

Appears in Networks:
Annotations
Cell Ontology (CL)
erythrocyte
MeSH
Plasma
MeSH
Urine
MeSH
Anemia, Hemolytic, Autoimmune
Text Location
Review

path(MESH:"Transfusion Reaction") positiveCorrelation path(MESH:Hemolysis) View Subject | View Object

It is crucial, hence, to further investigate the mechanisms of sepsis-induced hemolysis with the aim of deriving possible therapeutic principles. Herein, we collected the most important previously known triggers of hemolysis during sepsis, which are (1) transfusion reactions and complement activation, (2) disseminated intravascular coagulation, (3) capillary stopped-flow, (4) restriction of glucose to red blood cells, (5) changes in red blood cell membrane properties, (6) hemolytic pathogens, and (7) red blood cell apoptosis. PubMed:29956069

Appears in Networks:
Annotations
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.