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1.
Mol Med Rep ; 21(6): 2303-2310, 2020 06.
Article in English | MEDLINE | ID: mdl-32323812

ABSTRACT

Celastrol and triptolide, chemical compounds isolated from Tripterygium wilfordii hook (also known as thunder god vine), are effective against rheumatoid arthritis (RA). Celastrol targets numerous signaling pathways involving NF­κB, endoplasmic reticulum Ca2+­ATPase, myeloid differentiation factor 2, toll­like receptor 4, pro­inflammatory chemokines, DNA damage, cell cycle arrest and apoptosis. Triptolide, inhibits NF­κB, the receptor activator of NF­κB (RANK)/RANK ligand/osteoprotegerin signaling pathway, cyclooxygenase­2, matrix metalloproteases and cytokines. The present review examined the chemistry and bioavailability of celastrol and triptolide, and their molecular targets in treating RA. Clinical studies have demonstrated that T. wilfordii has several promising bioactivities, but its multi­target toxicity has restricted its application. Thus, dosage control and structural modification of T. wilfordii are required to reduce the toxicity. In this review, future directions for research into these promising natural products are discussed.


Subject(s)
Diterpenes/chemistry , Phenanthrenes/chemistry , Tripterygium/chemistry , Triterpenes/chemistry , Arthritis, Rheumatoid/drug therapy , Arthritis, Rheumatoid/pathology , Chemokines/antagonists & inhibitors , Chemokines/metabolism , Cyclooxygenase 2/chemistry , Cyclooxygenase 2/metabolism , Diterpenes/metabolism , Diterpenes/pharmacology , Diterpenes/therapeutic use , Epoxy Compounds/chemistry , Epoxy Compounds/metabolism , Epoxy Compounds/pharmacology , Epoxy Compounds/therapeutic use , Humans , NF-kappa B/antagonists & inhibitors , NF-kappa B/metabolism , Pentacyclic Triterpenes , Phenanthrenes/metabolism , Phenanthrenes/pharmacology , Phenanthrenes/therapeutic use , Signal Transduction/drug effects , Toll-Like Receptor 4/antagonists & inhibitors , Toll-Like Receptor 4/metabolism , Tripterygium/metabolism , Triterpenes/metabolism , Triterpenes/pharmacology , Triterpenes/therapeutic use
2.
Int Immunopharmacol ; 80: 106179, 2020 Mar.
Article in English | MEDLINE | ID: mdl-31972422

ABSTRACT

Network pharmacology is a novel approach that uses bioinformatics to predict and identify multiple drug targets and interactions in disease. Here, we used network pharmacology to investigate the mechanism by which triptolide acts in rheumatoid arthritis (RA). We first searched public databases for genes and proteins known to be associated with RA, as well as those predicted to be targets of triptolide, and then used Ingenuity Pathway Analysis (IPA) to identify enriched gene pathways and networks. Networks and pathways that overlapped between RA-associated proteins and triptolide target proteins were then used to predict candidate protein targets of triptolide in RA. The following proteins were found to occur in both RA-associated networks and triptolide target networks: CD274, RELA, MCL1, MAPK8, CXCL8, STAT1, STAT3, c-JUN, JNK, c-Fos, NF-κB, and TNF-α. Docking studies suggested that triptolide can fit in the binding pocket of the six top candidate triptolide target proteins (CD274, RELA, MCL1, MAPK8, CXCL8 and STAT1). The overlapping pathways were activation of Th1 and Th2 cells, macrophages, fibroblasts and endothelial cells in RA, while the overlapping networks were involved in cellular movement, hematological system development and function, immune cell trafficking, cell-to-cell signaling and interaction, inflammatory response, cellular function and maintenance, and cell death and survival. These results show that network pharmacology can be used to generate hypotheses about how triptolide exerts therapeutic effects in RA. Network pharmacology may be a useful method for characterizing multi-target drugs in complex diseases.


Subject(s)
Antirheumatic Agents/pharmacology , Arthritis, Rheumatoid/drug therapy , Diterpenes/pharmacology , Drug Development/methods , Phenanthrenes/pharmacology , Protein Interaction Maps/drug effects , Antirheumatic Agents/therapeutic use , Arthritis, Rheumatoid/immunology , Binding Sites/drug effects , Computational Biology/methods , Diterpenes/therapeutic use , Epoxy Compounds/pharmacology , Epoxy Compounds/therapeutic use , Feasibility Studies , Humans , Molecular Docking Simulation , Phenanthrenes/therapeutic use , Protein Interaction Maps/immunology , Signal Transduction/drug effects , Signal Transduction/immunology
3.
Int Immunopharmacol ; 74: 105725, 2019 Sep.
Article in English | MEDLINE | ID: mdl-31276975

ABSTRACT

Network pharmacology uses bioinformatics to broaden our understanding of drug actions and thereby to advance drug discovery. Here we apply network pharmacology to generate testable hypotheses about the multi-target mechanism of celastrol against rheumatoid arthritis. We reconstructed drug-target pathways and networks to predict the likely protein targets of celastrol and the main interactions between those targets and the drug. Then we validated our predictions of four candidate targets (IKK-ß, JNK, COX-2, MEK1) by performing docking studies with celastrol. The results suggest that celastrol acts against rheumatoid arthritis by regulating the function of several signaling proteins, including MMP-9, COX-2, c-Myc, TGF-ß, c-JUN, JAK-1, JAK-3, IKK-ß, SYK, MMP-3, JNK and MEK1, which regulate the functions of Th1 and Th2 cells, macrophages, fibroblasts and endothelial cells in rheumatoid arthritis. Celastrol is predicted to affect networks involved mainly in cancer, connective tissue disorders, organismal injury and abnormalities, tissue development, cell death and survival. This network pharmacology strategy may be useful for discovery of multi-target drugs against complex diseases.


Subject(s)
Arthritis, Rheumatoid/drug therapy , Computational Biology , Connective Tissue Diseases/metabolism , Drug Discovery/methods , Macrophages/immunology , Neoplasms/metabolism , Pharmacology , Th1 Cells/immunology , Th2 Cells/immunology , Triterpenes/pharmacology , Cell Death , Connective Tissue Diseases/drug therapy , Humans , Molecular Docking Simulation , Neoplasms/drug therapy , Organogenesis , Pentacyclic Triterpenes , Signal Transduction/drug effects , Triterpenes/therapeutic use
4.
Mol Med Rep ; 19(1): 23-29, 2019 01.
Article in English | MEDLINE | ID: mdl-30483727

ABSTRACT

Curcumin (diferuloylmethane), an orange­yellow component of turmeric or curry powder, is a polyphenol natural product isolated from the rhizome of Curcuma longa. For centuries, curcumin has been used in medicinal preparations and as a food colorant. In recent years, extensive in vitro and in vivo studies have suggested that curcumin possesses activity against cancer, viral infection, arthritis, amyloid aggregation, oxidation and inflammation. Curcumin exerts anticancer effects primarily by activating apoptotic pathways in cancer cells and inhibiting pro­cancer processes, including inflammation, angiogenesis and metastasis. Curcumin targets numerous signaling pathways associated with cancer therapy, including pathways mediated by p53, Ras, phosphatidylinositol­3­kinase, protein kinase B, Wnt­ß catenin and mammalian target of rapamycin. Clinical studies have demonstrated that curcumin alone or combined with other drugs exhibits promising anticancer activity in patients with breast cancer without adverse effects. In the present review, the chemistry and bioavailability of curcumin and its molecular targets in breast cancer are discussed. Future research directions are discussed to further understand this promising natural product.


Subject(s)
Breast Neoplasms/drug therapy , Curcumin/pharmacology , Curcumin/therapeutic use , Animals , Antineoplastic Agents/pharmacology , Antineoplastic Agents/therapeutic use , Apoptosis/drug effects , Female , Humans , Signal Transduction/drug effects
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