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Entity

Name
Vascular Diseases
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 4

a(CHEBI:"iron(2+)") positiveCorrelation path(MESH:"Vascular Diseases") View Subject | View Object

There are in vitro and animal model data linking increased free Hb, heme, and iron to inflammation, 6 infection,7 platelet (PLT) activation,8,9 vasculopathy, 10 and thrombosis. PubMed:29603246

Appears in Networks:
Annotations
Text Location
Introduction

a(CHEBI:heme) positiveCorrelation path(MESH:"Vascular Diseases") View Subject | View Object

There are in vitro and animal model data linking increased free Hb, heme, and iron to inflammation, 6 infection,7 platelet (PLT) activation,8,9 vasculopathy, 10 and thrombosis. PubMed:29603246

Appears in Networks:
Annotations
Text Location
Introduction

p(HGNC:HBB) positiveCorrelation path(MESH:"Vascular Diseases") View Subject | View Object

There are in vitro and animal model data linking increased free Hb, heme, and iron to inflammation, 6 infection,7 platelet (PLT) activation,8,9 vasculopathy, 10 and thrombosis. PubMed:29603246

Appears in Networks:
Annotations
Text Location
Introduction

path(MESH:Hemolysis) positiveCorrelation path(MESH:"Vascular Diseases") View Subject | View Object

Furthermore, experiments of nature that lead to increased levels of chronic hemolysis, such as sickle cell anemia and paroxysmal nocturnal hemoglobinuria, provide evidence that low levels of hemolysis may be harmful, and contribute to inflammation, thrombosis, vasculopathy, and impaired host defenses against infection.1,11 PubMed:29603246

Appears in Networks:
Annotations
MeSH
Anemia, Sickle Cell
Text Location
Introduction

Out-Edges 4

path(MESH:"Vascular Diseases") positiveCorrelation p(HGNC:HBB) View Subject | View Object

There are in vitro and animal model data linking increased free Hb, heme, and iron to inflammation, 6 infection,7 platelet (PLT) activation,8,9 vasculopathy, 10 and thrombosis. PubMed:29603246

Appears in Networks:
Annotations
Text Location
Introduction

path(MESH:"Vascular Diseases") positiveCorrelation a(CHEBI:heme) View Subject | View Object

There are in vitro and animal model data linking increased free Hb, heme, and iron to inflammation, 6 infection,7 platelet (PLT) activation,8,9 vasculopathy, 10 and thrombosis. PubMed:29603246

Appears in Networks:
Annotations
Text Location
Introduction

path(MESH:"Vascular Diseases") positiveCorrelation a(CHEBI:"iron(2+)") View Subject | View Object

There are in vitro and animal model data linking increased free Hb, heme, and iron to inflammation, 6 infection,7 platelet (PLT) activation,8,9 vasculopathy, 10 and thrombosis. PubMed:29603246

Appears in Networks:
Annotations
Text Location
Introduction

path(MESH:"Vascular Diseases") positiveCorrelation path(MESH:Hemolysis) View Subject | View Object

Furthermore, experiments of nature that lead to increased levels of chronic hemolysis, such as sickle cell anemia and paroxysmal nocturnal hemoglobinuria, provide evidence that low levels of hemolysis may be harmful, and contribute to inflammation, thrombosis, vasculopathy, and impaired host defenses against infection.1,11 PubMed:29603246

Appears in Networks:
Annotations
MeSH
Anemia, Sickle Cell
Text Location
Introduction

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.