scholarly journals Pharmacophore-based Virtual Screening From Phytocannabinoids for Anti-obesity Activity

Author(s):  
Lenir C. Correia ◽  
Jaderson V. Ferreira ◽  
Henrique B. Lima ◽  
Guilherme M. Silva ◽  
Carlos H. T. P. da Silva ◽  
...  

Abstract Search for new pharmacological alternatives for obesity is based on the design and development of compounds that can aid in weight loss so that they can be used safely and effectively over a long period while maintaining their function. The endocannabinoid system is related to obesity by increasing orexigenic signals and reducing satiety signals. Cannabis sativa is a medicinal plant of polypharmaceutical potential that has been widely studied for various medicinal purposes. The in silico evaluation of their natural cannabinoids (also called phytocannabinoids) for anti-obesity purpose stems from the existence of synthetic cannabinoid compounds that have already presented this result, but which did not guarantee patient safety. In order to find new molecules from C. sativa phytocannabinoids, with the potential to interact with the pharmacological target cannabinoid receptor 1, a pharmacophore-based virtual screening was performed, including the evaluation of physicochemical, pharmacokinetic, toxicological predictions and molecular docking. The results obtained from the ZINC12 database pointed to Zinc 69 (ZINC33053402) and Zinc 70 (ZINC19084698) molecules as promising anti-obesity agents. Molecular Dynamics (MD) studies discloses that both complexes were stable by analyzing the RMSD (Root Mean Square Deviation) values, and the binding free energy values demonstrate that the selected structures can interact and inhibit their catalytic activity.

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Amelia Dahlén ◽  
Mahdi Zarei ◽  
Adam Melgoza ◽  
Mahendra Wagle ◽  
Su Guo

AbstractHigh doses of the Cannabis constituent Δ9-tetrahydrocannabinol (THC) increase the risk of psychosis in humans. Highly accessible animal models are needed to address underlying mechanisms. Using zebrafish with a conserved endocannabinoid system, this study investigates the acute effects of THC on adult zebrafish behavior and the mechanisms involved. A concentration-dependent THC-induced behavioral stereotypy akin to THC’s effect in rats and the psychotropics phencyclidine and ketamine in zebrafish was established. Distinctive circular swimming during THC-exposure was measured using a novel analytical method that we developed, which detected an elevated Repetition Index (RI) compared to vehicle controls. This was reduced upon co-administration of N-methyl-D-aspartate (NMDA) receptor agonist NMDA, suggesting that THC exerts its effects via biochemical or neurobiological mechanisms associated with NMDA receptor antagonism. Co-treatment of γ‐aminobutyric acid receptor antagonist pentylenetetrazol also showed signs of reducing the RI. Since THC-induced repetitive behavior remained in co-administrations with cannabinoid receptor 1 inverse agonist AM251, the phenotype may be cannabinoid receptor 1-independent. Conversely, the inverse cannabinoid receptor 2 agonist AM630 significantly reduced THC-induced behavioral stereotypy, indicating cannabinoid receptor 2 as a possible mediator. A significant reduction of the THC-RI was also observed by the antipsychotic sulpiride. Together, these findings highlight this model’s potential for elucidating the mechanistic relationship between Cannabis and psychosis.


2020 ◽  
Vol 21 (15) ◽  
pp. 5308
Author(s):  
Mikołaj Mizera ◽  
Dorota Latek ◽  
Judyta Cielecka-Piontek

The selective targeting of the cannabinoid receptor 2 (CB2) is crucial for the development of peripheral system-acting cannabinoid analgesics. This work aimed at computer-assisted identification of prospective CB2-selective compounds among the constituents of Cannabis Sativa. The molecular structures and corresponding binding affinities to CB1 and CB2 receptors were collected from ChEMBL. The molecular structures of Cannabis Sativa constituents were collected from a phytochemical database. The collected records were curated and applied for the development of quantitative structure-activity relationship (QSAR) models with a machine learning approach. The validated models predicted the affinities of Cannabis Sativa constituents. Four structures of CB2 were acquired from the Protein Data Bank (PDB) and the discriminatory ability of CB2-selective ligands and two sets of decoys were tested. We succeeded in developing the QSAR model by achieving Q2 5-CV > 0.62. The QSAR models helped to identify three prospective CB2-selective molecules that are dissimilar to already tested compounds. In a complementary structure-based virtual screening study that used available PDB structures of CB2, the agonist-bound, Cryogenic Electron Microscopy structure of CB2 showed the best statistical performance in discriminating between CB2-active and non-active ligands. The same structure also performed best in discriminating between CB2-selective ligands from non-selective ligands.


2017 ◽  
Vol 95 (4) ◽  
pp. 311-327 ◽  
Author(s):  
Yan Lu ◽  
Hope D. Anderson

Cannabis sativa has long been used for medicinal purposes. To improve safety and efficacy, compounds from C. sativa were purified or synthesized and named under an umbrella group as cannabinoids. Currently, several cannabinoids may be prescribed in Canada for a variety of indications such as nausea and pain. More recently, an increasing number of reports suggest other salutary effects associated with endogenous cannabinoid signaling including cardioprotection. The therapeutic potential of cannabinoids is therefore extended; however, evidence is limited and mechanisms remain unclear. In addition, the use of cannabinoids clinically has been hindered due to pronounced psychoactive side effects. This review provides an overview on the endocannabinoid system, including known physiological roles, and conditions in which cannabinoid receptor signaling has been implicated.


2020 ◽  
Vol 4 (6) ◽  
pp. 382-389
Author(s):  
V.A. Dudareva ◽  
◽  
M.L. Maksimov ◽  
I.G. Djadikova ◽  
A.A. Zveginceva ◽  
...  

Obesity that results in various metabolic disorders is one of the central concerns of modern healthcare system. Only 4% to 5% of patients with metabolic syndrome achieve favorable outcomes without any additional pharmacotherapy. Therefore, many patients require weight-loss drugs in addition to non-pharmacological treatments. The endocannabinoid system and the drugs that affect its functions receive a widespread attention of medical society due to its effects on behavioral and cerebral functions and its potential use as a therapeutic “target” in various peripheral and neurological psychiatric disorders. Among known to date cannabinoid receptors, type 1 receptors play a role in the development of obesity. It was demonstrated that the blockade of these receptors in the hypothalamus reduces appetite, inhibits adipocyte activation in peripheral tissues, prevents lipogenesis, and increases the level of adiponectin. The result is the decreased levels of atherogenic lipoproteins and improved insulin resistance. This article addresses the results of fundamental and clinical studies on Dietressa, a drug composed of affine-purified antibodies to cannabinoid receptor 1. Case report of a patient with obesity that analyzes pharmaceutical and non-pharmaceutical treatment approaches is described.KEYWORDS: obesity, metabolic syndrome, diet, endocannabinoid system, cannabinoids, cannabinoid receptors, affine-purified antibodies.FOR CITATION: Dudareva V.A., Maksimov M.L., Djadikova I.G. et al. Role of endocannabinoid system in the pathogenesis of obesity: how can we help a patient? From theory to practice. Russian Medical Inquiry. 2020;4(6):382–389. DOI: 10.32364/2587-6821-2020-4-6-382-389.


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