Structure-activity relationship of prevalent synthetic cannabinoid metabolites on hCB1 in vitro and in silico dynamics

Synthetic cannabinoids (SC) target the human cannabinoid receptor 1 (hCB<sub>1</sub>) and are extensively metabolized, but the metabolite activity on the hCB<sub>1</sub> receptor after a SC intake is largely unknown. In this study we compared the in vitro hCB<sub>1</sub> receptor activity of 26 metabolites of the synthetic cannabinoid receptor agonists (SCRA) JWH-018, AM-2201, THJ-018 and THJ-2201 as a model system for SC metabolite activity to elucidate their structure-activity relationships. The efficacy and potency of metabolites were assessed using an AequoScreen hCB<sub>1</sub> receptor assay in triplicates and 7-8 concentration points (20 µg/mL-9.5 ng/mL) were used to construct dose-response curves and to determine EC<sub>50</sub> and E<sub>max</sub>. In silico docking and molecular dynamics were performed using a model of the active form of the hCB<sub>1</sub> receptor with all the metabolites. Final poses were simulated to assess stability under physiological conditions. We showed that carboxylic acid metabolites and 2-hydroxyindole biotransformational products were inactive, while 5-hydroxypentyl SCRA metabolites decreased efficacy to <70%, qualifying them as partial agonists. Eighteen metabolites retained >70% efficacy of their parent compound. Metabolite potencies ranged from 13-3500 nM where the most potent were the 4-hydroxypentyl derivatives of THJ-2201 and THJ-018 and the 4-hydroxyindole derivatives of AM-2201 and JWH-018, also known to be prevalent in vivo metabolites. The efficacy data from in silico experiments were correlated with the in vitro results demonstrating a linear trend (R<sup>2</sup> = 0.9457), significant (P < 0.0001) at the 95% confident interval between the binding energies and efficacies of the compounds investigated. In silico analysis with docking and molecular dynamics simulations showed that active metabolites maintained a minimum of six amino acid interactions involving all substructures. The in silico molecular dynamics simulations revealed that the efficacy and potency seemed to be driven by a complex network of hydrophobic weak amino acid-ligand interactions. Most prevalent were CH-π interactions and π-π stackings. This study demonstrates the clear structure-activity relationships well correlated to the molecular dynamics simulations, suggesting that metabolites, especially the 4-hydroxy pentyl metabolites, may contribute to the overall effect of SCs in vivo.

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Journal
Acta Pharmacologica Sinica
Published
2025-11-03
DOI
https://doi.org/10.1038/s41401-025-01678-5
Primary Topic
Forensic Toxicology and Drug Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Structure-activity relationship of prevalent synthetic cannabinoid metabolites on hCB1 in vitro and in silico dynamics

Francesco Paolo Busardò, Robert Kronstrand, Svante Vikingsson, Peter Konradsson et al.
Acta Pharmacologica Sinica
Forensic Toxicology and Drug Analysis
article

Structure-activity relationship of prevalent synthetic cannabinoid metabolites on hCB1 in vitro and in silico dynamics

Francesco Paolo Busardò, Robert Kronstrand, Svante Vikingsson, Peter Konradsson, Emiliano Laudadio, Anna Åstrand, Laura Martin, Henrik Gréen, Johan Dahlén, Xiongyu Wu, Jérémy Carlier, Prince Sellase Gameli
article en

Abstract

Synthetic cannabinoids (SC) target the human cannabinoid receptor 1 (hCB<sub>1</sub>) and are extensively metabolized, but the metabolite activity on the hCB<sub>1</sub> receptor after a SC intake is largely unknown. In this study we compared the in vitro hCB<sub>1</sub> receptor activity of 26 metabolites of the synthetic cannabinoid receptor agonists (SCRA) JWH-018, AM-2201, THJ-018 and THJ-2201 as a model system for SC metabolite activity to elucidate their structure-activity relationships. The efficacy and potency of metabolites were assessed using an AequoScreen hCB<sub>1</sub> receptor assay in triplicates and 7-8 concentration points (20 µg/mL-9.5 ng/mL) were used to construct dose-response curves and to determine EC<sub>50</sub> and E<sub>max</sub>. In silico docking and molecular dynamics were performed using a model of the active form of the hCB<sub>1</sub> receptor with all the metabolites. Final poses were simulated to assess stability under physiological conditions. We showed that carboxylic acid metabolites and 2-hydroxyindole biotransformational products were inactive, while 5-hydroxypentyl SCRA metabolites decreased efficacy to <70%, qualifying them as partial agonists. Eighteen metabolites retained >70% efficacy of their parent compound. Metabolite potencies ranged from 13-3500 nM where the most potent were the 4-hydroxypentyl derivatives of THJ-2201 and THJ-018 and the 4-hydroxyindole derivatives of AM-2201 and JWH-018, also known to be prevalent in vivo metabolites. The efficacy data from in silico experiments were correlated with the in vitro results demonstrating a linear trend (R<sup>2</sup> = 0.9457), significant (P < 0.0001) at the 95% confident interval between the binding energies and efficacies of the compounds investigated. In silico analysis with docking and molecular dynamics simulations showed that active metabolites maintained a minimum of six amino acid interactions involving all substructures. The in silico molecular dynamics simulations revealed that the efficacy and potency seemed to be driven by a complex network of hydrophobic weak amino acid-ligand interactions. Most prevalent were CH-π interactions and π-π stackings. This study demonstrates the clear structure-activity relationships well correlated to the molecular dynamics simulations, suggesting that metabolites, especially the 4-hydroxy pentyl metabolites, may contribute to the overall effect of SCs in vivo.

Acta Pharmacologica SinicaVol. 47(3)
Linköping University (SE), Marche Polytechnic University (IT), RTI International (US), Swedish National Board of Forensic Medicine (SE), FHNW University of Applied Sciences and Arts Northwestern Switzerland (CH)
Linköpings Universitet
Openalex Percentile: Top 69%
Forensic Toxicology and Drug Analysis
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