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In-Vitro and In-Silico Studies of Brevifoliol Ester Analogues against Insulin Resistance Condition.
- Source :
-
Current diabetes reviews [Curr Diabetes Rev] 2024 Sep 10. Date of Electronic Publication: 2024 Sep 10. - Publication Year :
- 2024
- Publisher :
- Ahead of Print
-
Abstract
- Background: Brevifoliol is a diterpenoid that occurs naturally in the plants of Taxus genus and is widely used as chemotherapy agent for the management of cancer. A series of semisynthetic esters analogues of brevifoliol were prepared by Steglich esterification and attempted for their pharmacological potential against insulin resistance conditions using in-vitro and in-silico assays.<br />Objective: The aim of this study is to understand the pharmacological potential of eighteen semisynthetic analogs through Steglich esterification of Brevifoliol against insulin resistance condition Methods: In the in-vitro study, insulin resistance condition was induced in skeletal muscle cells using TNF-α, pro-inflammatory cytokine and these cells were treated with brevifoliol analogues. The most potent analouge was further validated using in-silico docking study against the tumor necrosis factor (TNF-α) (PDB ID: 2AZ5) and Human Insulin Receptor (PDB ID: 1IR3), using the Auto dock Vina v0.8 program.<br />Results: Although, all the analogues of Brevifoliol significantly exhibited the pharmacological potential. Among all, analogue 17 was most potent in reversing the TNF-α induced insulin resistance condition in skeletal muscle cells and also to inhibit the production of TNF-α in LPSinduced inflammation in macrophage cells in a dose-dependent manner. Similarly, in-silico molecular docking studies revealed that analogue 17 possesses a more promising binding affinity than the selected control drug metformin toward the TNF-α and insulin receptor.<br />Conclusion: These findings suggested the suitability of analogue 17 as a drug-like candidate for further investigation toward the management of insulin resistance conditions.<br /> (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)
Details
- Language :
- English
- ISSN :
- 1875-6417
- Database :
- MEDLINE
- Journal :
- Current diabetes reviews
- Publication Type :
- Academic Journal
- Accession number :
- 39257150
- Full Text :
- https://doi.org/10.2174/0115733998275238240116083227