| Names | |
|---|---|
| IUPAC name
3-[(3S,5S,8R,9S,10R,13R,14S,17R)-5,14-dihydroxy-3-[(2R,4S,5R,6R)-4-methoxy-6-methyl-5-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxyoxan-2-yl]oxy-10,13-dimethyl-2,3,4,6,7,8,9,11,12,15,16,17-dodecahydro-1H-cyclopenta[a]phenanthren-17-yl]-2H-furan-5-one | |
| Identifiers | |
3D model (JSmol) |
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| ChemSpider | |
| ECHA InfoCard | 100.208.699 |
| EC Number |
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PubChem CID |
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| UNII | |
CompTox Dashboard (EPA) |
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| Properties | |
| C36H56O13 | |
| Molar mass | 696.831 g·mol−1 |
| Hazards | |
| GHS labelling: | |
| Danger | |
| H300, H330, H373 | |
| P260, P264, P270, P271, P284, P301+P316, P304+P340, P316, P319, P320, P321, P330, P403+P233, P405, P501 | |
Except where otherwise noted, data are given for materials in their standard state (at 25 °C [77 °F], 100 kPa).
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Periplocin is a plant-derived glycoside whereby the sugar moiety is linked to a steroid. First reported in 1897 from the stem bark of Periploca graeca from the southwest Caucasus in the Black Sea region. It can also be extracted from Periploca calophylla, Periploca forrestii, Periploca omeiensis and the traditional Chinese medicine cortex periplocae (CPP), the dry root bark of Periploca sepium.
High doses of periplocin are toxic as a cardiac glycoside.
CPP's healing activities have long been recognized in traditional Chinese medicine where it has been used to treat rheumatoid arthritis. Scientific studies of CPP have identified over 100 components of which periplocin has been a major focus both for its toxicity as well as for its potential beneficial pharmaceutical effects. Besides the cardiac glycosides with periplocin as its main constituent, the CPP contains different C21-steroidal glycosides such as periplocodides and pregnene derivatives, fatty acids, volatile oils, terpenes, and others.
Potential medical applications of periplocin are focused on these areas:
Periplocin's metabolites, periplocymarin and periplogenin, have also shown some pharmacological effects.
Potential senolytic activity was suggested by an AI structural analysis of over 4,000 chemicals in 2013.