Selective TLR7 agonist. Inhibits HIV-1 reverse transcriptase. Induces pro-inflammatory cytokine production in thymocytes. Antiproliferative effects. Shows immunomodulatory effects in vivo. More active than Imiquimod.
Storage Temp
Store at -20°C,Desiccated
Shipped In
Ice chest + Ice pads
This product requires cold chain shipping. Ground and other economy services are not available.
Note
Wherever possible, you should prepare and use solutions on the same day. However, if you need to make up stock solutions in advance, we recommend that you store the solution as aliquots in tightly sealed vials at -20°C. Generally, these will be useable for up to one month. Before use, and prior to opening the vial we recommend that you allow your product to equilibrate to room temperature for at least 1 hour. Need more advice on solubility, usage and handling? Please visit our frequently asked questions (FAQ) page for more details.
Product Description
Biochem/physiol Actions
Gardiquimod is a potent and specific agonist for human or mouse Toll-like receptor 7 (TLR7). Also, at high concentration gardiquimod activates TLR8. Similarly to imiquimod, gardiquimod could mimic the effects of viral nucleic acids on the immune system.
Gardiquimod is developed as a new imidazoquinoline compound. It stimulates NF-κB (nuclear factor-κB) activation in cells expressing human or murine toll like receptor 7 (TLR7). Gardiquimod is found to be ten times more efficient than imiquimod. It induces splenocyte activation and prevents murine B16 melanoma growth and metastasis. Gardiquimod might serve as a therapeutic agent to prevent HIV-1 (human immunodeficiency virus - 1) transmission. It hinders the life cycle of HIV-1, by blocking the action of HIV-1 reverse transcriptase.
This compound belongs to the class of organic compounds known as imidazoquinolines. These are aromatic heterocyclic compounds containing an imidazole ring fused to a quinoline ring system. In some configurations, the imidazole ring shares a nitrogen atom with the quinoline moiety.
External Descriptors
Not available
1. Djoumbou Feunang Y, Eisner R, Knox C, Chepelev L, Hastings J, Owen G, Fahy E, Steinbeck C, Subramanian S, Bolton E, Greiner R, and Wishart DS. ClassyFire: Automated Chemical Classification With A Comprehensive, Computable Taxonomy. Journal of Cheminformatics, 2016, 8:61.
D2402247