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

Appears in Networks 1

In-Edges 5

a(CHEBI:"all-trans-retinoic acid") increases act(p(FPLX:RXR)) View Subject | View Object

ATRA not only activates RXR but also activates the retinoic acid receptor. PubMed:21718217

a(CHEBI:Honokiol) increases act(p(FPLX:RXR)) View Subject | View Object

More recently, a naturally occurring RXR agonist, honokiol, has been identified. This agonist is capable of activating RXR/LXR heterodimers and has been shown to induce the expression of ABCA1 and ApoE and should be tested in AD models [75,78]. PubMed:21718217

a(CHEBI:bexarotene) increases act(p(FPLX:RXR)) View Subject | View Object

Bexarotene is a highly specific RXR agonist and is currently FDA approved with a favorable side effect profile. Studies in our laboratory have shown that treatment of APP/ PS1 animals with bexarotene for only 3 days results in a dramatic induction of ApoE and ABCA1 and the rapid reversal of AD-associated pathological hallmarks including reduction in amyloid deposition and deficits in behavior as well as neural networks. PubMed:21718217

Out-Edges 2

act(p(FPLX:RXR)) increases p(HGNC:APOE) View Subject | View Object

RXR activation by numerous ligands has shown to increase levels of both ApoE and ABCA1 in vitro [74-76]. PubMed:21718217

act(p(FPLX:RXR)) increases p(HGNC:ABCA1) View Subject | View Object

RXR activation by numerous ligands has shown to increase levels of both ApoE and ABCA1 in vitro [74-76]. PubMed:21718217

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.