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  3. path(MESH:"Lung Injury")

path(MESH:"Lung Injury")

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

Entity

Name
Lung Injury
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 2

a(CHEBI:heme) positiveCorrelation path(MESH:"Lung Injury") View Subject | View Object

These data indicate that the increased severity of bacterial lung injury secondary to massive resuscitation with stored RBCs is heme-dependent. PubMed:29522519

Appears in Networks:
Annotations
Text Location
Results

act(p(MGI:Tlr4)) negativeCorrelation path(MESH:"Lung Injury") View Subject | View Object

These data demonstrate that TLR4 signaling plays a role in heme-induced exacerbation of lung bacterial infection secondary to TH followed by massive resuscitation with stored RBCs. PubMed:29522519

Appears in Networks:
Annotations
Text Location
Results

Out-Edges 2

path(MESH:"Lung Injury") positiveCorrelation a(CHEBI:heme) View Subject | View Object

These data indicate that the increased severity of bacterial lung injury secondary to massive resuscitation with stored RBCs is heme-dependent. PubMed:29522519

Appears in Networks:
Annotations
Text Location
Results

path(MESH:"Lung Injury") negativeCorrelation act(p(MGI:Tlr4)) View Subject | View Object

These data demonstrate that TLR4 signaling plays a role in heme-induced exacerbation of lung bacterial infection secondary to TH followed by massive resuscitation with stored RBCs. PubMed:29522519

Appears in Networks:
Annotations
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.