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Cécile Béguin

Publications and source records attributed to Cécile Béguin.

7 recordsLinked to original sources

8-epi-Salvinorin B: crystal structure and affinity at the kappa opioid receptor.

There have been many reports of epimerization of salvinorins at C-8 under basic conditions, but little evidence has been presented to establish the structure of these compounds. We report here the first crystal structure of an 8-epi-salvinorin or derivative: the title compound, 2b. The lactone adopts a boat conformation with the furan equatorial. Several lines of evidence suggest that epimerization proceeds via enolization of the lactone rather than a previously proposed indirect mechanism. Consistent with the general trend in related compounds, the title compound showed lower affinity at the kappa opioid receptor than the natural epimer salvinorin B (2a). The related 8-epi-acid 4b showed no affinity.

Journal Article↗

Synthesis and in vitro evaluation of salvinorin A analogues: effect of configuration at C(2) and substitution at C(18).

kappa-opioid receptor ligands have raised interest for their apparent effects on mood. The potent and selective kappa-agonist salvinorin A has short-lasting (15min) depressive-like effects in rats in behavioral models used to study mood disorders. Two series of salvinorin derivatives modified at C(2) and C(18), respectively, were synthesized and their kappa-opioid receptor affinities, potencies, and efficacies were evaluated using in vitro receptor binding and biochemical functional assays. Modification at C(2) yielded potent kappa-agonists that are predicted to have improved metabolic stability (14a, 15a) or increased water solubility (10b). Our preliminary SAR study at C(18) suggested that this part of the molecule interacts with a tight lipophilic pocket of the kappa-receptor.

Amides↗

Depressive-like effects of the kappa-opioid receptor agonist salvinorin A on behavior and neurochemistry in rats.

Endogenous opioids seem to play a critical role in the regulation of mood states. For example, there is accumulating evidence that stimulation of kappa-opioid receptors, upon which the endogenous opioid dynorphin acts, can produce depressive-like behaviors in laboratory animals. Here we examined whether systemic administration of salvinorin A (SalvA), a potent and highly selective kappa-opioid agonist, would produce depressive-like effects in the forced swim test (FST) and intracranial self-stimulation (ICSS) test, which are behavioral models often used to study depression in rats. We extracted, isolated, and purified SalvA from Salvia divinorum plant leaves and examined its effects on behavior in the FST and ICSS test across a range of doses (0.125-2.0 mg/kg) after systemic (intraperitoneal) administration. SalvA dose dependently increased immobility in the FST, an effect opposite to that of standard antidepressant drugs. Doses of SalvA that produced these effects in the FST did not affect locomotor activity in an open field. Furthermore, SalvA dose dependently elevated ICSS thresholds, an effect similar to that produced by treatments that cause depressive symptoms in humans. At a dose that caused the depressive-like effects in both the FST and ICSS assays, SalvA decreased extracellular concentrations of dopamine (DA) within the nucleus accumbens (NAc), a critical component of brain reward circuitry, without affecting extracellular concentrations of serotonin (5-HT). These data provide additional support for the hypothesis that stimulation of brain kappa-opioid receptors triggers depressive-like signs in rats and raise the possibility that decreases in extracellular concentrations of DA within the NAc contribute to these effects.

Animals↗

Synthesis and in vitro pharmacological evaluation of salvinorin A analogues modified at C(2).

Salvinorin A is the only known non-nitrogenous and specific kappa-opioid agonist. A series of salvinorin A derivatives were prepared and tested for in vitro activity at the kappa-opioid receptor. Unsubstituted carbamate 9 was a potent kappa-agonist (EC(50) = 6.2 nM) and should be more stable than salvinorin A toward metabolic transformations. Compound 10, containing an N-methyl carbamate at C(2), showed partial agonist activity with 81% efficacy when compared with the full agonist U50,488H. No antagonist ligands were observed.

Animals↗

N-Substituted amino acid N'-benzylamides: synthesis, anticonvulsant, and metabolic activities.

Amino acid amides (AAA) were prepared and evaluated in seizure models. The AAA displayed moderate-to-excellent activity in the maximal electroshock seizure (MES) test and were devoid of activity in the subcutaneous Metrazol-induced (scMet) seizure test. The AAA anticonvulsant activity was neither strongly influenced by the C(2) substituent nor by the degree of terminal amine substitution. An in vitro metabolism study suggested that the structure-activity relationship pattern was due, in part, to metabolic processes that occurred at the N-terminal amine unit.

Amides↗

Application of predictive QSAR models to database mining: identification and experimental validation of novel anticonvulsant compounds.

We have developed a drug discovery strategy that employs variable selection quantitative structure-activity relationship (QSAR) models for chemical database mining. The approach starts with the development of rigorously validated QSAR models obtained with the variable selection k nearest neighbor (kNN) method (or, in principle, with any other robust model-building technique). Model validation is based on several statistical criteria, including the randomization of the target property (Y-randomization), independent assessment of the training set model's predictive power using external test sets, and the establishment of the model's applicability domain. All successful models are employed in database mining concurrently; in each case, only variables selected as a result of model building (termed descriptor pharmacophore) are used in chemical similarity searches comparing active compounds of the training set (queries) with those in chemical databases. Specific biological activity (characteristic of the training set compounds) of external database entries found to be within a predefined similarity threshold of the training set molecules is predicted on the basis of the validated QSAR models using the applicability domain criteria. Compounds judged to have high predicted activities by all or the majority of all models are considered as consensus hits. We report on the application of this computational strategy for the first time for the discovery of anticonvulsant agents in the Maybridge and National Cancer Institute (NCI) databases containing ca. 250,000 compounds combined. Forty-eight anticonvulsant agents of the functionalized amino acid (FAA) series were used to build kNN variable selection QSAR models. The 10 best models were applied to mining chemical databases, and 22 compounds were selected as consensus hits. Nine compounds were synthesized and tested at the NIH Epilepsy Branch, Rockville, MD using the same biological test that was employed to assess the anticonvulsant activity of the training set compounds; of these nine, four were exact database hits and five were derived from the hits by minor chemical modifications. Seven of these nine compounds were confirmed to be active, indicating an exceptionally high hit rate. The approach described in this report can be used as a general rational drug discovery tool.

Amides↗

Functionalized amido ketones: new anticonvulsant agents.

We have reported that functionalized amino acids (FAA) are potent anticonvulsants. Replacing the N-terminal amide group in FAA with phenethyl, styryl, and phenylethynyl units provided a series of functionalized amido ketones (FAK). We show that select FAK exhibit significant anticonvulsant activities thereby providing information about the structural requirements for FAA and FAK bioactivity.

Amides↗