bp(MESH:"Glucose-Galactose Malabsorption") positiveCorrelation path(MESH:Hemolysis)

View Subject View Object

PubMed:29956069

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.

Related Edges 7

• bp(GO:"complement activation") positiveCorrelation path(MESH:Hemolysis)
• path(MESH:"Disseminated Intravascular Coagulation") positiveCorrelation path(MESH:Hemolysis)
• path(MESH:"Transfusion Reaction") positiveCorrelation path(MESH:Hemolysis)
• path(MESH:Hemolysis) positiveCorrelation path(MESH:"Disseminated Intravascular Coagulation")
• path(MESH:Hemolysis) positiveCorrelation bp(GO:"complement activation")
• path(MESH:Hemolysis) positiveCorrelation path(MESH:"Transfusion Reaction")
• path(MESH:Hemolysis) positiveCorrelation bp(MESH:"Glucose-Galactose Malabsorption")

Text Location

Review

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.

---