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Appears in Networks 1

In-Edges 6

a(CHEBI:Anatabine) positiveCorrelation a(GO:"myelin sheath") View Subject | View Object

Interestingly, anatabine significantly prevented demyelination associated with EAE in the spinal cord (Fig. 12) PubMed:23383175

a(MESH:Astrocytes) negativeCorrelation a(GO:"myelin sheath") View Subject | View Object

A statistically significant positive correlation was observed between the amount of GFAP and Iba1 burden in the spinal cord (Pearson correlation = 0.612, P,0.002) whereas negative correlations were observed between the GFAP burden and the Luxol fast blue burden (Pearson correlation =20.525, P= 0.007), and between the IBa1 burden and the Luxol fast blue burden (Pearson correlation =20.609, P =0.001) suggesting that astrogliosis and microgliosis are associated with the loss of myelin in the spinal cord PubMed:23383175

a(MESH:Microglia) negativeCorrelation a(GO:"myelin sheath") View Subject | View Object

A statistically significant positive correlation was observed between the amount of GFAP and Iba1 burden in the spinal cord (Pearson correlation = 0.612, P,0.002) whereas negative correlations were observed between the GFAP burden and the Luxol fast blue burden (Pearson correlation =20.525, P= 0.007), and between the IBa1 burden and the Luxol fast blue burden (Pearson correlation =20.609, P =0.001) suggesting that astrogliosis and microgliosis are associated with the loss of myelin in the spinal cord PubMed:23383175

bp(HBP:Astrogliosis) negativeCorrelation a(GO:"myelin sheath") View Subject | View Object

A statistically significant positive correlation was observed between the amount of GFAP and Iba1 burden in the spinal cord (Pearson correlation = 0.612, P,0.002) whereas negative correlations were observed between the GFAP burden and the Luxol fast blue burden (Pearson correlation =20.525, P= 0.007), and between the IBa1 burden and the Luxol fast blue burden (Pearson correlation =20.609, P =0.001) suggesting that astrogliosis and microgliosis are associated with the loss of myelin in the spinal cord PubMed:23383175

bp(HBP:Microgliosis) negativeCorrelation a(GO:"myelin sheath") View Subject | View Object

A statistically significant positive correlation was observed between the amount of GFAP and Iba1 burden in the spinal cord (Pearson correlation = 0.612, P,0.002) whereas negative correlations were observed between the GFAP burden and the Luxol fast blue burden (Pearson correlation =20.525, P= 0.007), and between the IBa1 burden and the Luxol fast blue burden (Pearson correlation =20.609, P =0.001) suggesting that astrogliosis and microgliosis are associated with the loss of myelin in the spinal cord PubMed:23383175

path(MESH:Encephalomyelitis) decreases a(GO:"myelin sheath") View Subject | View Object

Finally, Luxol Fast Blue staining showed significant myelin loss in the white matter of the spinal cord of EAE mice compared control non-immunized mice (Fig. 12) PubMed:23383175

Out-Edges 5

a(GO:"myelin sheath") positiveCorrelation a(CHEBI:Anatabine) View Subject | View Object

Interestingly, anatabine significantly prevented demyelination associated with EAE in the spinal cord (Fig. 12) PubMed:23383175

a(GO:"myelin sheath") negativeCorrelation a(MESH:Astrocytes) View Subject | View Object

A statistically significant positive correlation was observed between the amount of GFAP and Iba1 burden in the spinal cord (Pearson correlation = 0.612, P,0.002) whereas negative correlations were observed between the GFAP burden and the Luxol fast blue burden (Pearson correlation =20.525, P= 0.007), and between the IBa1 burden and the Luxol fast blue burden (Pearson correlation =20.609, P =0.001) suggesting that astrogliosis and microgliosis are associated with the loss of myelin in the spinal cord PubMed:23383175

a(GO:"myelin sheath") negativeCorrelation a(MESH:Microglia) View Subject | View Object

A statistically significant positive correlation was observed between the amount of GFAP and Iba1 burden in the spinal cord (Pearson correlation = 0.612, P,0.002) whereas negative correlations were observed between the GFAP burden and the Luxol fast blue burden (Pearson correlation =20.525, P= 0.007), and between the IBa1 burden and the Luxol fast blue burden (Pearson correlation =20.609, P =0.001) suggesting that astrogliosis and microgliosis are associated with the loss of myelin in the spinal cord PubMed:23383175

a(GO:"myelin sheath") negativeCorrelation bp(HBP:Astrogliosis) View Subject | View Object

A statistically significant positive correlation was observed between the amount of GFAP and Iba1 burden in the spinal cord (Pearson correlation = 0.612, P,0.002) whereas negative correlations were observed between the GFAP burden and the Luxol fast blue burden (Pearson correlation =20.525, P= 0.007), and between the IBa1 burden and the Luxol fast blue burden (Pearson correlation =20.609, P =0.001) suggesting that astrogliosis and microgliosis are associated with the loss of myelin in the spinal cord PubMed:23383175

a(GO:"myelin sheath") negativeCorrelation bp(HBP:Microgliosis) View Subject | View Object

A statistically significant positive correlation was observed between the amount of GFAP and Iba1 burden in the spinal cord (Pearson correlation = 0.612, P,0.002) whereas negative correlations were observed between the GFAP burden and the Luxol fast blue burden (Pearson correlation =20.525, P= 0.007), and between the IBa1 burden and the Luxol fast blue burden (Pearson correlation =20.609, P =0.001) suggesting that astrogliosis and microgliosis are associated with the loss of myelin in the spinal cord PubMed:23383175

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.