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a(HM:"ruptured complicated lesions")

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Entity

Name
ruptured complicated lesions
Namespace
HM
Namespace Version
None
Pattern
.*

Appears in Networks 1

Heme Curation v0.0.1-dev

Mechanistic knowledge surrounding heme

In-Edges 4

a(CHEBI:"iron(2+)") positiveCorrelation a(HM:"ruptured complicated lesions") View Subject | View Object

Concentrations of iron, conjugated dienes and lipid hydroperoxides were elevated by about 2- fold in ruptured complicated lesions, as compared to atheromatous lesions (0.433 ± 0.075 vs. 0.185 ± 0.096 nmol Fe/mg tissue; 0.047 ± 0.019 vs. 0.021 ± 0.003 A234 conjugated dienes/mg tissue and 0.465 ± 0.110 vs. 0.248 ± 0.106 nmol LOOH/mg tissue, respectively) and complicated lesions contained 5.6 times more TBARs than atheromatous lesions (0.028 ± 0.012 vs. 0.005 ± 0.001 nmol/mg tissue). PubMed:20378845

Appears in Networks:
Annotations
Cell Ontology (CL)
endothelial cell
MeSH
Plaque, Atherosclerotic
Text Location
Results

a(CHEBI:"lipid hydroperoxide") positiveCorrelation a(HM:"ruptured complicated lesions") View Subject | View Object

Concentrations of iron, conjugated dienes and lipid hydroperoxides were elevated by about 2- fold in ruptured complicated lesions, as compared to atheromatous lesions (0.433 ± 0.075 vs. 0.185 ± 0.096 nmol Fe/mg tissue; 0.047 ± 0.019 vs. 0.021 ± 0.003 A234 conjugated dienes/mg tissue and 0.465 ± 0.110 vs. 0.248 ± 0.106 nmol LOOH/mg tissue, respectively) and complicated lesions contained 5.6 times more TBARs than atheromatous lesions (0.028 ± 0.012 vs. 0.005 ± 0.001 nmol/mg tissue). PubMed:20378845

Appears in Networks:
Annotations
Cell Ontology (CL)
endothelial cell
MeSH
Plaque, Atherosclerotic
Text Location
Results

a(CHEBI:dityrosine) positiveCorrelation a(HM:"ruptured complicated lesions") View Subject | View Object

Moreover, the amounts of a protein oxidation marker, dityrosine,21 were elevated in complicated lesions (Fig 5B) whereas atheromatous lesions did not contain detectable dityrosine. PubMed:20378845

Appears in Networks:
Annotations
Cell Ontology (CL)
endothelial cell
MeSH
Plaque, Atherosclerotic
Text Location
Results

a(MESH:"Thiobarbituric Acid Reactive Substances") positiveCorrelation a(HM:"ruptured complicated lesions") View Subject | View Object

Concentrations of iron, conjugated dienes and lipid hydroperoxides were elevated by about 2- fold in ruptured complicated lesions, as compared to atheromatous lesions (0.433 ± 0.075 vs. 0.185 ± 0.096 nmol Fe/mg tissue; 0.047 ± 0.019 vs. 0.021 ± 0.003 A234 conjugated dienes/mg tissue and 0.465 ± 0.110 vs. 0.248 ± 0.106 nmol LOOH/mg tissue, respectively) and complicated lesions contained 5.6 times more TBARs than atheromatous lesions (0.028 ± 0.012 vs. 0.005 ± 0.001 nmol/mg tissue). PubMed:20378845

Appears in Networks:
Annotations
Cell Ontology (CL)
endothelial cell
MeSH
Plaque, Atherosclerotic
Text Location
Results

Out-Edges 4

a(HM:"ruptured complicated lesions") positiveCorrelation a(CHEBI:"iron(2+)") View Subject | View Object

Concentrations of iron, conjugated dienes and lipid hydroperoxides were elevated by about 2- fold in ruptured complicated lesions, as compared to atheromatous lesions (0.433 ± 0.075 vs. 0.185 ± 0.096 nmol Fe/mg tissue; 0.047 ± 0.019 vs. 0.021 ± 0.003 A234 conjugated dienes/mg tissue and 0.465 ± 0.110 vs. 0.248 ± 0.106 nmol LOOH/mg tissue, respectively) and complicated lesions contained 5.6 times more TBARs than atheromatous lesions (0.028 ± 0.012 vs. 0.005 ± 0.001 nmol/mg tissue). PubMed:20378845

Appears in Networks:
Annotations
Cell Ontology (CL)
endothelial cell
MeSH
Plaque, Atherosclerotic
Text Location
Results

a(HM:"ruptured complicated lesions") positiveCorrelation a(CHEBI:"lipid hydroperoxide") View Subject | View Object

Concentrations of iron, conjugated dienes and lipid hydroperoxides were elevated by about 2- fold in ruptured complicated lesions, as compared to atheromatous lesions (0.433 ± 0.075 vs. 0.185 ± 0.096 nmol Fe/mg tissue; 0.047 ± 0.019 vs. 0.021 ± 0.003 A234 conjugated dienes/mg tissue and 0.465 ± 0.110 vs. 0.248 ± 0.106 nmol LOOH/mg tissue, respectively) and complicated lesions contained 5.6 times more TBARs than atheromatous lesions (0.028 ± 0.012 vs. 0.005 ± 0.001 nmol/mg tissue). PubMed:20378845

Appears in Networks:
Annotations
Cell Ontology (CL)
endothelial cell
MeSH
Plaque, Atherosclerotic
Text Location
Results

a(HM:"ruptured complicated lesions") positiveCorrelation a(MESH:"Thiobarbituric Acid Reactive Substances") View Subject | View Object

Concentrations of iron, conjugated dienes and lipid hydroperoxides were elevated by about 2- fold in ruptured complicated lesions, as compared to atheromatous lesions (0.433 ± 0.075 vs. 0.185 ± 0.096 nmol Fe/mg tissue; 0.047 ± 0.019 vs. 0.021 ± 0.003 A234 conjugated dienes/mg tissue and 0.465 ± 0.110 vs. 0.248 ± 0.106 nmol LOOH/mg tissue, respectively) and complicated lesions contained 5.6 times more TBARs than atheromatous lesions (0.028 ± 0.012 vs. 0.005 ± 0.001 nmol/mg tissue). PubMed:20378845

Appears in Networks:
Annotations
Cell Ontology (CL)
endothelial cell
MeSH
Plaque, Atherosclerotic
Text Location
Results

a(HM:"ruptured complicated lesions") positiveCorrelation a(CHEBI:dityrosine) View Subject | View Object

Moreover, the amounts of a protein oxidation marker, dityrosine,21 were elevated in complicated lesions (Fig 5B) whereas atheromatous lesions did not contain detectable dityrosine. PubMed:20378845

Appears in Networks:
Annotations
Cell Ontology (CL)
endothelial cell
MeSH
Plaque, Atherosclerotic
Text Location
Results

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.