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Appears in Networks 5

In-Edges 6

p(HGNC:APP, frag("672_713")) increases a(HBP:HBP00038) View Subject | View Object

There are two main toxic species, Ab40 and Ab42, with Abeta42 more hydrophobic and more prone to fibril formation while only making up about 10% of the Abeta peptide produced [143] PubMed:21214928

Annotations
MeSH
Endosomes
Confidence
Medium
MeSH
Neurons

p(HGNC:APP, frag("672_713")) increases a(HBP:HBP00038) View Subject | View Object

Studies done on familial AD (FAD) mutations consistently show increases in the ratio of Abeta42/40 [105,144], suggesting that elevated levels of Abeta42 relative to Abeta40 is critical for AD pathogenesis, probably by providing the core for Abeta assembly into oligomers, fibrils and amyloidogenic plaques [145,146] PubMed:21214928

Annotations
MeSH
Endosomes
Confidence
High
MeSH
Neurons

a(CHEBI:"amyloid-beta") increases a(HBP:HBP00038) View Subject | View Object

gamma-Secretase further cleaves C99 to release AICD and the amyloidogenic Abeta peptide which aggregates and fibrillates to form amyloid plaques in the brain PubMed:22122372

p(HGNC:APP, frag("672_713")) increases a(HBP:HBP00038) View Subject | View Object

Studies also suggest that increased Abeta 42 levels probably provide the core for oligomerization, fibrillation and amyloid plaque generation (Jarrett et al. 1993; Iwatsubo et al. 1994) PubMed:22122372

a(CHEBI:"GW 3965") increases act(a(HBP:HBP00038)) View Subject | View Object

Similarly, stimulation of microglia with the LXR agonist, GW3965, acts simultaneously to suppress inflammation and promote fibrillar Ab stimulated phagocytosis [47]. PubMed:21718217

p(MGI:Abca1) decreases a(HBP:HBP00038) View Subject | View Object

Conversely, overexpression of ABCA1 in a mouse model of AD was shown to decrease both soluble and fibrillar pools of Ab in 12-month-old mice and reduce plaque burden [53]. PubMed:21718217

Out-Edges 6

a(HBP:HBP00038) increases path(MESH:"Plaque, Amyloid") View Subject | View Object

gamma-Secretase further cleaves C99 to release AICD and the amyloidogenic Abeta peptide which aggregates and fibrillates to form amyloid plaques in the brain PubMed:22122372

a(HBP:HBP00038) increases p(HGNC:CCL2) View Subject | View Object

The deposition of fibrillar Ab in the AD brain results in the recruitment of microglia to the plaques owing to their expression of CCL2, which acts to attract microglia [82]. PubMed:21718217

a(HBP:HBP00038) increases bp(GO:"microglial cell activation") View Subject | View Object

The deposition of fibrillar Ab in the AD brain results in the recruitment of microglia to the plaques owing to their expression of CCL2, which acts to attract microglia [82]. PubMed:21718217

act(a(HBP:HBP00038)) increases bp(GO:phagocytosis) View Subject | View Object

Similarly, stimulation of microglia with the LXR agonist, GW3965, acts simultaneously to suppress inflammation and promote fibrillar Ab stimulated phagocytosis [47]. PubMed:21718217

a(HBP:HBP00038) increases act(complex(GO:"NLRP3 inflammasome complex")) View Subject | View Object

Activation of the NLRP3 inflammasome by fibrillar Abeta has been described first by Halle et al. in 2008 PubMed:28019679

a(HBP:HBP00038) increases act(complex(GO:"NLRP3 inflammasome complex")) View Subject | View Object

In vivo and cell studies demonstrate that fibrillar Aβ activates the NLRP3 inflammasome which is composed of the NLRP3 receptor, ASC and caspase-1, to produce IL-1β in microglia (Halle et al., 2008) PubMed:24561250

Annotations
Cell Ontology (CL)
microglial cell
Confidence
Medium
NeuroMMSigDB
Amyloidogenic subgraph

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.