Identifying cytochrome P450s involved in oxidative metabolism of synthetic cannabinoid N‐(adamantan‐1‐yl)‐1‐(5‐fluoropentyl)‐1H‐indole‐3‐carboxamide (STS‐135)
JONES et al.
Department of Biochemistry and Molecular Biology School of Medicine University of Arkansas for Medical Sciences Little Rock AR USA
University of Arkansas Fayetteville Fayetteville AR USA
Department of Biology University of Arkansas Little Rock Little Rock AR USA
Department of Pharmacology & Toxicology School of Medicine University of Arkansas for Medical Sciences Little Rock AR USA
Department of Pharmaceutical Sciences College of Pharmacy University of Arkansas for Medical Sciences Little Rock AR USA
*CorrespondenceRyoichi Fujiwara, Department of Pharmaceutical Sciences, College of Pharmacy, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Email: rfujiwara@uams.edu
Abstract
Synthetic cannabinoids (SCBs), designer drugs marketed as legal alternatives to marijuana, act as ligands to cannabinoid receptors; however, they have increased binding affinity and potency, resulting in toxicity symptoms such as cardiovascular incidents, seizures, and potentially death. N‐(adamantan‐1‐yl)‐1‐(5‐fluoropentyl)‐1H‐indole‐3‐carboxamide (STS‐135) is a third generation SCB. When incubated with hepatocytes, it undergoes oxidation, hydrolysis, and glucuronidation, resulting in 29 metabolites, with monohydroxy STS‐135 (M25) and dihydroxy STS‐135 (M21) being the predominant metabolites. The enzymes responsible for this oxidative metabolism were unknown. Thus, the aim of this study was to identify the cytochrome P450 (P450s or CYPs) enzymes involved in the oxidative metabolism of STS‐135. In this study, STS‐135 was incubated with liver, intestinal, and brain microsomes and recombinant P450s to determine the enzymes involved in its metabolism. Metabolite quantification was carried out using ultra‐performance liquid chromatography. STS‐135 was extensively metabolized in HLMs and HIMs. Screening assays indicated CYP3A4 and CYP3A5 could be responsible for STS‐135’s oxidation. Through incubations with genotyped HLMs, CYP3A4 was identified as the primary oxidative enzyme. Interestingly, CYP2J2, a P450 isoform expressed in cardiovascular tissues, showed high activity towards the formation of M25 with a K m value of 11.4 μmol/L. Thus, it was concluded that STS‐135 was primarily metabolized by CYP3A4 but may have extrahepatic metabolic pathways as well. Upon exposure to STS‐135, individuals with low CYP3A4 activity could retain elevated blood concentration, resulting in toxicity. Additionally, CYP2J2 may aid in protecting against STS‐135‐induced cardiovascular toxicity.
Article notes
Jones S , Yarbrough AL , Fantegrossi WE , et al. Identifying cytochrome P450s involved in oxidative metabolism of synthetic cannabinoid N‐(adamantan‐1‐yl)‐1‐(5‐fluoropentyl)‐1H‐indole‐3‐carboxamide (STS‐135). Pharmacol Res Perspect. 2020;00:e00561 10.1002/prp2.561 PMC699375432003945
Footnote Group
- CBRs
- cannabinoid receptors
- HBMs
- human brain microsomes
- HLMs
- human liver microsomes
- SCBs
- synthetic cannabinoids
- UGT
- UDP‐glucuronosyltransferase
1INTRODUCTION
Synthetic cannabinoids (SCBs) are designer drugs present in products branded as “K2” or “Spice,” which are frequently marketed to consumers as safer, legal alternatives to marijuana. Originally, SCBs were synthesized as a means to investigate their potential as therapeutic ligands for cannabinoid receptors (CBRs); however, their predominant use has become recreational.1, 2 Often produced in clandestine labs, there are currently over 150 SCBs, with new analogs emerging as soon as existing compounds are made illegal. The greater danger of SCBs, as compared to endogenous cannabinoids and phytocannabinoids, results from the fact that SCBs have been observed to have a higher affinity for CBRs, and many of the SCB metabolites remain biologically active and exhibit an increased affinity and activity for CBRs as compared to the parent compounds.3, 4 Due to their high affinity to CBRs, exposure to SCBs can result in a number of effects similar to those elicited by the phytocannabinoids found in marijuana, including euphoria, analgesia, and appetite enhancement; however, in addition, SCBs frequently cause much more serious adverse effects including seizures, severe tachycardia, psychosis, hemorrhaging, and even death.5, 6, 7, 8, 9 While acute and chronic SCB abuse and its effects have been examined in various studies, information on the metabolism of SCBs is lacking, particularly for newer generations,this information is pertinent to understanding toxicity cases because accumulation of toxicants due to insufficient metabolism is a major mechanism of development of adverse toxic effects.3, 4, 10
STS‐135, also called N‐(adamantan‐1‐yl)‐1‐(5‐fluoropentyl)‐1H‐indole‐3‐carboxamide or 5F‐APICA, is the terminally‐fluorinated analog of SDB‐001 and APICA (Figure 1). It possesses a core with an indole structure and a substituted indole base. The base is substituted with a fluoropentyl chain at R1, suggesting the structure‐activity relationships found in the indole class of cannabimimetics, and at the terminal amine, R3, in the adamantane cage with a carboxamide group. This adamantane group is composed of four fused cyclohexane rings arranged in a unique structure called a diamondoid. STS‐135 is a potent agonist for both CB1 and CB2 receptors, producing reported, subjective effects similar to that of cannabis with a short duration and an emphasis on intense physical sensations.11, 12 Heart palpitations, vertigo, and sedation have been reported at doses that are lower than previously considered dangerous amounts, and users tend to suffer extreme anxiety or lose consciousness after consumption.12 Due to the strength of these effects generated at such low doses, at higher doses, there could be an increased risk of adverse effects, potentially resulting in death.11
Hepatic biotransformation contributes to the detoxification of many administered SCBs.3, 10, 13 Among the several xenobiotic‐detoxifying processes, oxidation, often performed by cytochrome P450s (P450s or CYPs), plays a significant role in their hepatic metabolism.10 P450s are a superfamily of microsomal hemoproteins that catalyze the hydroxylation of a wide range of xenobiotics, including SCBs, drugs, and environmental pollutants, as well as endogenous substances.10 In the human liver, at least 12 distinct P450 enzymes, including CYP1A2, −2C9, and −3A4, are functionally expressed and extensively contribute to the oxidative metabolism of hydrophobic compounds.14 The inhibition of detoxifying enzymes could result in elevated blood concentrations of ingested compounds and, thus, toxic effects.14, 15 As the extensive metabolism of SCBs often results in numerous biologically active metabolites, genetic polymorphisms of P450 and UDP‐glucuronosyltransferase (UGT) enzymes could potentially contribute to the idiosyncratic toxicity often experienced after SCB exposure. Individuals with genetic polymorphisms in these genes may be at a higher risk of developing toxic effects due to an inability to properly metabolize SCBs, depending on the availability or lack thereof of other metabolic pathways.15 Additionally, these polymorphisms are affected by race, resulting in entire groups of people being more susceptible to the toxic effects of these drugs.15 For example, a previous studied reported that one‐half of the surveyed African Americans expressed CYP3A5, while only one‐third of Caucasians did.16 Therefore, identifying the enzymes that are involved in the metabolism of toxic compounds is important in the prevention and treatment of potential adverse drug reactions.
It has been previously demonstrated that STS‐135 incubated with human hepatocytes undergoes oxidation, hydrolysis, and glucuronidation, resulting in the formation of 29 metabolites.17 Among them, monohydroxy STS‐135 (M25) and dihydroxy STS‐135 (M21) appear to be the primary metabolites; however, the enzymes responsible for the oxidative metabolism of this SCB have not yet been identified. In this study, our aim was to identify the P450s responsible for the formation of M25 and M21 by utilizing human liver microsomes (HLMs), genotyped HLMs, and recombinant P450s along with isoform specific inhibitors.
2MATERIALS AND METHODS
2.1Materials
All chemicals used for this study were of at least reagent grade. STS‐135 was obtained from Cayman Chemical. Pooled HLMs, genotyped HLMs, recombinant P450s, human brain microsomes (HBMs), and NADPH Regenerating System Solutions A and B were purchased from Corning. Human intestinal microsomes (HIMs) were purchased from Xenotech. LC/MS water, methanol, and acetic acid grade were purchased from Thermo Fisher Scientific. All other chemicals and reagents were purchased from Sigma‐Aldrich or Thermo Fisher Scientific, unless specified otherwise.
2.2Screening of STS‐135 with HLMs, HIMs, HBMs, and recombinant P450s
The metabolism of STS‐135 was examined by analyzing the activity of HLMs, HBMs, and HIMs from 50‐donor pools along with assorted human recombinant P450 enzymes (50 µg CYP1A2, −2A6, −2B6, −2C9, −2C19, −2D6, −2E1, −2J2, −3A4, and −3A5) toward it. The final substrate concentration ranged 5‐200 µmol/L with 2% DMSO. We conducted a preliminary experiment and confirmed that the STS‐135 oxidizing activity was statistically the same between 1% and 2% organic solvent concentration in our enzyme assays. The substrate was added to each tube along with protein, water, and buffer (final concentration 0.1 mol/L KPO4, pH 7.4); the reactions were started with the addition of an NADPH‐regenerating system (1 mmol/L NADP+, 3 mmol/L glucose 6‐phosphate, 3 mmol/L MgCl2; 1 U/mL glucose 6‐phosphate dehydrogenase) to ensure the saturation of NADPH thus enabling cytochrome P450‐mediated reactions. Controls omitting the substrate, protein, and NADPH were included with each assay. Reactions were incubated at 37°C for 90 minutes or indicated time, and terminated by the addition of equal volumes of ethanol. Protein and other particulates were precipitated by centrifugation at 12 000g for 8 minutes and subsequently analyzed by an ultra‐performance liquid chromatography (UPLC) as described below. All reactions were performed in triplicate.
2.5UPLC analysis
The parent compound and its oxidized metabolites were identified by the ACQUITY UPLC System with a UV detector (Waters, Milford, MA,). The mobile phases were 0.1% acetic acid (A) and 100% methanol (B), and the flow rate was 0.5 mL/min with an elution gradient of 100% A (0‐0.2 minutes), a linear gradient from 100% A to 25% A‐75% B (0.2‐5 minutes), and 100% B (5‐7 minutes). The column was re‐equilibrated at initial conditions for 2.5 minutes between runs. The elution was monitored at 300 nm, and the results were analyzed with the Empower software (Waters).
2.6Steady‐state enzyme kinetic assays
Incubation conditions were optimized for time and protein concentration, and all reactions were performed within the linear range of metabolite formation. Other than substrate concentrations and incubation times, the reaction mixture composition and analytical methods were identical to those described for the above screening assays. Incubations were carried out with recombinant CYP2J2 (50 µg protein) in the presence of various concentrations of the substrate (5‐200 µmol/L) for 90 minutes at 37°C.
2.7Data analysis
Kinetic parameters were estimated from fitted curves using a program (http://www.ic50.tk) designed for non‐linear regression analysis. The Michaelis‐Menten equation, V = V max·[S]/(K m + [S]), was used to calculate the K m and V max values, where V is the velocity of the reaction, S is the substrate concentration, K m is the Michaelis constant and V max is the maximum velocity. The intrinsic clearance (CL int) is defined as V max/K m. The fitted curves were drawn using an online program (http://www.physiologyweb.com). Kinetic constants are reported as the mean ± SD of triplicate experiments. SDs were from three independent experiments. The half‐life was directly determined from linear regression. Statistical analysis for inhibitor studies was performed using the Analysis of Variance model and the Holm‐Bonferroni post hoc test.
3RESULTS
3.5Steady‐state kinetic analysis using CYP2J2
As the recombinant CYP2J2 showed moderate activity towards STS‐135 and produced only a single metabolite, kinetic constants were analyzed. Figure 6 shows the kinetic profiles for the recombinant P450, which followed the classical Michaelis‐Menten kinetics curve. Steady‐state kinetic analysis of CYP2J2 resulted in a Vmax value of 17.2 ± 0.5 pmol/min/mg protein and a Km of 11.2 ± 1.7 µmol/L.
4DISCUSSION
SCBs were once marketed as a harmless, over the counter novelty items to consumers; however, the dangerous nature of these drugs of abuse has come to light. Like natural cannabinoids, including Δ9‐THC, SCBs bind to and act as ligands for CBRs, frequently having affinity for both receptors CB1 and CB2; however, these powerful cannabimimetics generate more varied clinical effects as compared to those generated by natural cannabinoids, and the severities of these effects are often of much greater magnitude.5, 6, 7, 8, 9 Furthermore, SCBs’ metabolism can result in biologically active metabolites that exhibit an even greater affinity for CBRs, increasing the risk of toxicity.3, 4 Unfortunately, the treatment for cases of toxicity induced by SCBs is palliative at best as there are no developed treatments. With abuse of SCBs on the rise, and clandestine labs manufacturing more and more analogs, understanding their mechanisms and the involved metabolic pathways is essential to the development of a practical and effective treatment for cases of toxicity.
STS‐135 is an extremely potent, third generation SCB with anecdotal evidence indicating that very little of the compound is required to generate a physiological response.12, 19 Currently, there is only one study that investigated and reported metabolism of STS‐135. According to the publication, two major hepatic metabolites of STS‐135 are M25 and M21, which are mono‐ and di‐hydroxilated metabolites, which suggests that CYPs are the major class of enzyme responsible for the oxidative metabolism of this compound. Although STS‐135 is metabolized by other phase I and II enzymes, contribution of these enzymes to overall hepatic metabolism of STS135 seemed minimum.17 The study also revealed that a significant proportion of STS‐135 can be metabolized in hepatocytes. Unfortunately, quantitative investigation of STS‐135 and its metabolites in blood or urine has not been reported. However, it is speculated that oxidation to M25 and M21 would be the main metabolic and clearance pathway of STS‐135 due to the general importance of liver in metabolic clearance of xenobiotics. However, the specific P450 enzymes involved in its metabolism remain unknown. There are a wide variety of P450 enzymes placed in several subfamilies that are present in the human body. Although there were numerous isoforms that exhibited the ability to produce the metabolites of these compounds, CYP3A4 and −3A5 appeared to be the enzymes predominantly responsible for the metabolism of this SCB (Figure 3). Furthermore, the data obtained with the genotyped liver microsomes showed that CYP3A4 was actually the predominant metabolizer. In our microsomal screening assay, no metabolism was detected in the HBMs (Figure 3), indicating that the brain lacks the enzymes necessary to metabolize or neutralize the effects of the parent SCB or its metabolites, increasing the risk for toxicity and potentially explaining the intensity of the reported symptoms. CYP2J2 is primarily expressed in the cardiovascular system, especially cardiomyocytes and endothelial cells.20, 21 This isoform plays a role in metabolizing endogenous polyunsaturated fatty acids into signaling molecules, and it also metabolizes arachidonic acid into various eicosatrienoic acid epoxides. Overexpressed CYP2J2 is found in numerous cancers where it can accelerate proliferation and protect the cell from apoptosis.22, 23 Due to its abundance in the heart, loss of function for this enzyme can result in an increased susceptibility to cardiac toxicity and, potentially, in damage to cardiac tissue. Another study has shown the importance of CYP2J2 in the protection of cardiac tissue from toxicity.24 In the current study, it was shown that STS‐135 was extensively metabolized by CYP2J2. Therefore, because metabolic inhibition of CYP2J2 by STS‐135 can result in disruption of heart function, this might explain the reported cases of heart toxicity in individuals who consumed STS‐135. Also, if the oxidative metabolite of STS‐135 whose production is mediated by CYP2J2 is still pharmacologically active, the metabolite itself may be involved in the heart toxicity. The toxicological mechanism of cardiotoxicity by STS‐135 and M25 needs to be further investigated in the future.
SCBs are posing a public health threat to consumers; during a five‐month period in 2015, there were over 3500 cases of SCB induced toxicity within the United States alone.25, 26 Additionally, it should be noted that these cases of toxicity are disproportionally occurring in teens and young adults, with one study reporting that of the deaths caused by SCBs, over one third occurred in individuals ages 13‐19.9 Therefore, understanding the mechanism behind the metabolism of these compounds and understanding how toxicities occur from this compound is pertinent. Thus, our study succeeded, with us identifying the primary enzymes involved in the metabolism of STS‐135, a highly potent, dangerous, third generation SCB. As discussed above, the STS‐135‐metabolizing enzymes are highly polymorphic. It should be noted that even without genetic polymorphisms, there is a significantly wide inter‐individual variability in the hepatic CYP3A4 activity in humans, suggesting that users possessing isoforms with reduced activity could potentially put themselves at risk for increased toxic effects, specifically in the heart and intestines. Furthermore, co‐administered drugs, food, herbs, and other SCBs could also be the factors increasing the risk of the STS‐135 toxicity due the facts that many of those can act as potent CYP3A inhibitors.
DISCLOSURES
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
ACKNOWLEDGEMENTS
This work was supported in part by a grant from the National Institute on Drug Abuse [NIH/NIDA DA039143 to ARP, WEF and PLP].