Phase I In Vitro Metabolic Profiling of the Synthetic Cannabinoid Receptor Agonists CUMYL-THPINACA and ADAMANTYL-THPINACA
Institute of Forensic Medicine, Department of Biomedical Engineering, University of Basel, 4056 Basel, Switzerland; manuela.monti@unibas.ch (M.C.M.); eva.scheurer@unibas.ch (E.S.)
Abstract
Synthetic cannabinoid receptor agonists (SCRAs) remain popular drugs of abuse. As many SCRAs are known to be mostly metabolized, in vitro phase I metabolic profiling was conducted of the two indazole-3-carboxamide SCRAs: CUMYL-THPINACA and ADAMANTYL-THPINACA. Both compounds were incubated using pooled human liver microsomes. The sample clean-up consisted of solid phase extraction, followed by analysis using liquid chromatography coupled to a high resolution mass spectrometer. In silico-assisted metabolite identification and structure elucidation with the data-mining software Compound Discoverer was applied. Overall, 28 metabolites were detected for CUMYL-THPINACA and 13 metabolites for ADAMATYL-THPINACA. Various mono-, di-, and tri-hydroxylated metabolites were detected. For each SCRA, an abundant and characteristic di-hydroxylated metabolite was identified as a possible in vivo biomarker for screening methods. Metabolizing cytochrome P450 isoenzymes were investigated via incubation of relevant recombinant liver enzymes. The involvement of mainly CYP3A4 and CYP3A5 in the metabolism of both substances were noted, and for CUMYL-THPINACA the additional involvement (to a lesser extent) of CYP2C8, CYP2C9, and CYP2C19 was observed. The results suggest that ADAMANTYL-THPINACA might be more prone to metabolic drug−drug interactions than CUMYL-THPINACA, when co-administrated with strong CYP3A4 inhibitors.
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Keywords: synthetic cannabinoid receptor agonists, in vitro metabolism, high resolution mass spectrometry, Compound Discoverer
Article notes
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Received 2021 Jun 18; Accepted 2021 Jul 16; Collection date 2021 Aug.
1. Introduction
Synthetic cannabinoid receptor agonists (SCRAs) are a prominent class within the world of new psychoactive substances (NPS). In recent years, SCRAs, together with synthetic cathinones, were the predominantly seized classes of NPS in Europe [1]. SCRAs encompass a large variety of structurally diverse compounds with binding affinities to the cannabinoid receptors 1 and 2 (CB1 and CB2). Particularly via interaction with CB1, most SCRAs present cannabimimetic effects similar to Δ9-tetrahydrocannabinol (THC), the major psychoactive compound in cannabis [2,3,4]. The typically higher binding affinities of SCRAs as full agonists at CB1 and CB2, when compared to THC, are attributed to the often-observed increased potency, but also toxicity, of these compounds. Nevertheless, data on the pharmacology and toxicity of SCRAs is still limited [2,5,6]. Several cases of severe intoxication, including lethal outcomes, have been associated with the intake of SCRAs, thus underlining the public health threat posed by these compounds [7,8,9,10,11,12].
SCRAs are classified based on their chemical structure [2]. In recent years, many indazole- and indole-carboxamide-derived SCRAs have been reported, with 5F-MDMB-PINACA (5F-ADB), 5F-MDMB-PICA, and MDMB-4en-PINACA being frequently reported after detection in diverse formulations, ranging from shredded herbs that have been sprayed with SCRAs (“spice”), infused papers, e-liquids, and bulk powders [13,14,15]. Since the end of 2019, drug checking services in Switzerland have increasingly reported SCRAs fortified THC-low cannabis [16]. As these illicit products are generally sold as the nonaltered natural drug hemp, consumers unknowingly consuming SCRAs are clearly posed with an increased health threat. As the emergence of SCRAs on the drug market is constantly changing, as well as showing regional differences (for instance due to varying legal frameworks), it is important that analytical laboratories are constantly developing their analytical approach to SCRAs. Urine is a matrix that is often used for screening procedures in clinical and forensic toxicology due to favorable accessibility, higher concentrations of the substance of interest, and often longer detection windows when compared to blood. However, many SCRAs are known to be extensively metabolized, leading to a significant decrease or even lack of the parent compound in urine. As a consequence, metabolism studies identifying suitable target metabolites of NPS are inevitable [17,18,19,20].
CUMYL-THPINACA is classified as an indazole-3-carboxamide SCRA. A patent for CUMYL-THPINACA was issued in 2014 [21]. The cumyl-moiety is part of several SCRAs, as in, for example, CUMYL-BICA, 5F-CUMYL-PINACA, 5F-CUMYL-PICA, and CUMYL-4CN-BINACA [22]. The metabolism of several cumyl-bearing SCRAs has been investigated before [23,24,25,26], therefore the obtained results for CUMYL-THPINACA expand the current knowledge on the metabolism of members of this diverse subgroup. Considering its activity, Asada et al. synthesized CUMYL-THPINACA, finding strong activity at CB1 and CB2 [27]. This was confirmed via radioligand binding studies conducted by Schoeder et al. that showed high binding affinities of CUMYL-THPINACA at both CB1 (Ki = 1.23 ± 0.20 nM) and CB2 (Ki = 1.38 ± 0.86 nM) [28]. Even though these data on the affinity and activity of CUMYL-THPINACA exist, metabolic profiling, resulting in suggested biomarkers for the detection of the consumption of CUMYL-THPINACA, has, to the best of our knowledge, not been conducted yet.
ADAMANTYL-THPINACA, also referred to as ATHPINACA, is structurally related to CUMYL-THPINACA and AKB48 (APINACA). The adamantyl-moiety can be connected to the rest of the molecule, yielding two positional isomers of ADAMANTYL-THPINACA, which are referred to as isomer 1 [N-(1-adamantyl)] and isomer 2 [(N-(2-adamantyl)]. This study focusses on isomer 1, if not further specified. ADAMANTYL-THPINACA was first reported by EMCDDA’s Early Warning System after it appeared in Slovenia in 2015 [29], followed by Hungary in 2016 [30]. Recently, a study was published focusing on the metabolism of adamantyl-positional isomers of SCRAs, including first data on both isomers of ADAMANTYL-THPINACA. Metabolites were produced via incubation of pooled human liver microsomes (pHLM) and nine metabolites resulting from mono-, di-, and tri-hydroxylation were identified for isomer 1 of ADAMANTYL-THPINACA. Additionally, two glucuronidated metabolites were identified [31].
In this study, we present the phase I in vitro metabolic profiling of CUMYL-THPINACA and ADAMANTYL-THPINACA, applying two experimental set-ups. First, both SCRAs were incubated using pHLM, resulting in structural elucidation and identification of potential in vivo biomarkers of the detected metabolites. The incubation of active pharmaceutical ingredients with pHLM, amongst other in vitro models (such as human hepatocytes), is an established procedure for initial characterization of human metabolism [18,20,32] and therefore highly valuable for the study of SCRAs, for which information on the metabolism and suitable biomarkers is often lacking [20]. Metabolites as certified reference standards are often not available. Therefore, in vitro metabolism studies are a good alternative to incorporating metabolites into screening methods. Second, the cytochrome P450 enzymes (CYP) responsible for the phase I metabolism of the studied SCRAs were identified via incubation of a pallet of recombinant CYP isoforms (rCYP), thus expanding the present knowledge on the metabolism of ADAMANTYL-THPINACA as reported by Kadomura et al. [31]. Information on the metabolizing CYP isoforms gives the opportunity to predict the likelihood of metabolic drug−drug interactions or adverse events due to CYP polymorphisms [33,34,35,36,37]. A study conducted by Holm et al. showed that CYP3A4 was mainly responsible for the biotransformation of AKB48, an SCRA structurally related to ADAMANTYL-THPINACA. Nevertheless, specific CYP isoforms involved in the metabolism of SCRAs are often understudied and have, so far, not been investigated for CUMYL-THPINACA or ADAMANTYL-THPINACA.
Due to the diversity and large numbers of NPS emerging on the drug market, the rapid identification of target metabolites for screening procedures is urgently needed. High-resolution mass spectrometry (HR-MS) data analysis software is gaining importance, as in silico-assisted workflows enable higher throughput and are able to markedly facilitate metabolite identification [38,39]. In this study, data analysis was assisted by the Compound Discoverer (Thermo Fisher Scientific, Reinach, Switzerland) software, which has already been proven helpful for metabolite identification and structure elucidation in previously published studies [38,40,41,42,43].
2. Results and Discussion
3. Materials and Methods
3.1. Chemicals and Reagents
LC-MS grade acetonitrile (ACN), methanol (MeOH), and water, and HPLC grade acetone and 2-isopropanol (IPA) were obtained from Macherey-Nagel AG (Oensingen, Switzerland). Ammonium formate (>99.0%), ethyl acetate (EtOAc, HPLC grade), iodomethane (stabilized with silver), and formic acid (98–100%) were purchased from Merck (Zug, Switzerland). Potassium carbonate (Ph. Eur.) was purchased from Carl Roth AG (Arlesheim, Switzerland). Certified reference standards of UR-144, UR-144 N-(5-hydroxypentyl) metabolite, UR-144 N-pentanoic acid metabolite, and d,l-11-Hydroxy-THC-D3 were purchased from Lipomed AG (Arlesheim, Switzerland). CUMYL-THPINACA (N-(1-methyl-1-phenylethyl)-1-(tetrahydropyran-4-ylmethyl)-1H-indazole-3-carboxamide; purity >97%) and ADAMANTYL-THPINACA (N-(1-adamantyl)1-(tetrahydropyran-4-ylmethyl)-1H-indazole-3-carboxamide; purity >93%) were kindly provided by the Zurich Forensic Science Institute (Switzerland) in solid form (as certified reference substances were not available at the time of this work). Stock solutions were prepared at 1 mg/mL in MeOH for both compounds and stored at −20 °C until use. Pooled human liver microsomes (donor pool > 20, 20 mg/mL protein content in 250 mM sucrose, specified total P450 enzyme content of 360 pmol/mg protein) and Gentest NADPH regenerating system solutions: A (containing 26 mM β-nicotinamide adenine dinucleotide phosphate [NADP+], 66m MD-glucose-6-phosphate [Glc-6-P], 66mMmagnesium chloride [MgCl2] in water), and B (containing 40 U/mL Glc-6-P dehydrogenase [Glc-6-P-DH; EC 1.1.1.49] in sodium citrate) were purchased from Corning (Amsterdam, The Netherlands). Human CYP3A4 (100 pmol/mg protein), CYP2C9 (100 pmol/mg protein), CYP2E1 (100 pmol/mg protein), CYP3A5 (100 pmol/mg protein), CYP2C8 (100 pmol/mg protein), CYP2B6 (100 pmol/mg protein), CYP2A6 (with purified human cytochrome b5, 100 pmol/mg protein), CYP1A2 (770 pmol/mg protein), CYP2D6 (142 pmol/mg protein), CYP2C19 (202 pmol/mg protein), CYP3A5, and CYP2B6 EasyCYP Bactosomes co-expressed with human CYP-reductase in Escherichia coli, and membrane protein isolated from Escherichia coli host strain (EasyCYP control, 10 mg/mL protein), were ordered from tebu-bio (Offenbach, Germany).
3.2. Microsomal Incubation with pHLM
CUMYL-THPINACA, ADAMANTYL-THPINACA were incubated in duplicate at final concentrations of 10 µM in a total reaction volume of 1000 µL. Following the vendors instructions (Corning), the incubation mixture consisted of 100 mM potassium phosphate buffer (pH 7), 50 µL NADPH Regenerating System Solution A, and 10 µL NADPH Regenerating System Solution B. The percentage of organic solvent (MeOH) was limited to 0.4% in the incubation mixture, thus no inhibition due to organic solvents was to be expected (limit for MeOH defined by Corning: 1%). The reaction was started by the addition of 0.5 mg liver microsomes per assay to the reaction mixture that was then tempered to 37 °C. Negative controls were prepared by replacing the pHLMs with an equivalent volume of water and by incubating enzymes without the addition of SCRAs, while parallel incubation of the SCRA UR-144 served as a positive control for the functionality of the incubation. The samples were then incubated at 37 °C in an Eppendorf ThermoStat C heating block. In a preliminary experiment (data not shown) samples were drawn after 0.5 h, 1 h, 1.5 h and 2 h after incubation with pHLM. For the presented data, the samples were incubated for 2 h, as this incubation time gave the best outcome with respect to number and concentration of metabolites. The reaction was terminated by the addition of an equal volume of ice-cold ACN to 400 µL of drawn sample. The samples were then centrifuged at room temperature for five minutes at 13,400 rpm (approximately 9000× g) using an Eppendorf MiniSpin centrifuge (Eppendorf, Schönenbuch, Switzerland). The supernatant was stored in glass vials at −20 °C until sample cleanup.
3.3. Microsomal Incubation with rCYP
Substrate solutions (final concentration 10 µM) were incubated in 100 mM potassium phosphate buffer (pH 7), containing a final reaction volume of 500 µL, containing 38 µL NADPH regenerating solution A and 13 µL NADPH Regenerating Solution B. The reaction was started by the addition 25 µL of the CYP-solutions (or negative control EasyCYP), resulting in 0.5 mg protein per assay. Following the vendors instructions (tebu-bio), the reaction was quenched—after incubating for 20 min at 37 °C—by addition of 400 µL ice-cold ACN to 400 µL of drawn sample. Subsequently, the samples were centrifuged at 13,400 rpm (approximately 9000× g) for five minutes. The supernatant was stored in glass vials at −20 °C until further processing.
3.4. Sample Preparation
For sample clean-up, a protocol was adapted from one developed for the analysis of metabolites of SCRAs in urine, published by Gaunitz et al. [35]. In brief, 600 µL of the supernatants of the precipitated samples were diluted 1:1 with 100 mM ammonium formate buffer (pH 4). At this point the internal standard (ISTD) d,l-11-Hydroxy-THC-D3 was added, resulting in a concentration of 100 ng/mL (final concentration at time of analysis, with presumed 100% recovery, 300 ng/mL). Strata phenyl SPE cartridges obtained from Phenomenex (Basel, Switzerland) were conditioned with 2 mL MeOH, 2 mL water, and 2 mL ammonium formate buffer (pH 4), prior to being loaded with the diluted samples. After loading the samples, the cartridges were washed with 2 mL of 5:95 MeOH:water (v/v) and dried for 15 min. Elution of the analytes was achieved with twice 2 mL of 85:15 EtOAc:IPA (v/v). Extracts were collected in glass tubes and the solvent was evaporated until dryness at 40 °C under a gentle stream of nitrogen. Finally, the dried residues were resolved in 200 µL of 1:1 ACN:water (v/v), centrifuged (2465× g, 15 min) and transferred to HPLC-vials, thus resulting in a concentration by a factor of 3.
3.5. Derivatization Using Iodomethane
SPE extracts obtained from pHLM incubation experiments were solved in 200 µL acetone and then transferred into glass-vials, which were prefilled with a spatula tip (approximately 500 mg) of potassium carbonate. At this point 100 µL iodomethane was added, the vials were closed, and the mixtures were incubated for 1 h at 60 °C. The samples were transferred into a new vial using a glass Pasteur pipet omitting the insoluble potassium carbonate. The samples were evaporated to dryness under a gentle nitrogen stream at 60 °C, and reconstituted in 200 µL 1:1 ACN:water. A negative control was conducted for both SCRAs, where the addition of iodomethane was omitted while the rest of the experiment was kept as above.
3.6. Analysis
Chromatographic separation of the metabolites was achieved using a Dionex UltiMate 3000 ultra UHPLC system equipped with a Hypersil Gold (50 × 2.1 mm 1.9 µM) analytical column, thermostatted at 40° C using a MutliSLEEVE column heater, all obtained from Thermo Fisher Scientific (Reinach, Switzerland). Mobile phase A consisted of water with 0.1% (v/v) formic acid and mobile phase B of ACN with 0.1% (v/v) formic acid. After injection of 5 µL of the prepared sample the gradient commenced at 20% mobile phase B, which then increased to 40% within 0.9 min and to 71% within the following 6 min, after which the mobile phase B was increased to 100% during a time interval of 0.25 min and held for 1 min. The system was then returned to the initial settings and held for 1.25 min, prior to the injection of the next sample. The mobile phase flow was 0.6 mL/min throughout. The mobile phase flow during the first 0.1 min and after 7 min was directed to the waste and not to the mass spectrometer by means of a bypass valve connected after the column.
Subsequent analysis was undertaken with a Thermo Scientific Q Exactive HF Hybrid Quadrupole-Orbitrap mass spectrometer equipped with a heated electrospray ionization (HESI-II) source, obtained from Thermo Fisher Scientific (Reinach, Switzerland), operated with a sheath gas flow rate of 50 arbitrary units (AU) and an auxiliary gas flow rate of 5 AU. The capillary temperature and auxiliary gas heater temperature were 200 °C and 350 °C, respectively, and the spray voltage was set to 3.5 kV. Parent ions of metabolites were screened using a full MS acquisition in positive ion mode and at a resolution of 120,000 full width at half-maximum (FWHM) at m/z 200, within a scan range from m/z 150 to m/z 1000. Metabolite identification was conducted by manual investigation of the raw data in FreeStyle (version 1.7, SP1, Thermo Fisher Scientific, Reinach, Switzerland), assisted by the Compound Discoverer (version 3.1, Thermo Fisher Scientific, Reinach, Switzerland) software, by running an expected workflow (Forensics Expected w FiSh scoring), that enables the screening for software predicted products generated by biotransformation of a predefined compound. The software thus calculates the expected masses of common phase I metabolites and searches for corresponding signals in the data. The program additionally identifies background signals by comparison of blank samples and negative control samples, which are then filtered out and, therefore, not considered.
In a subsequent analysis, the software-proposed metabolites were transferred into an inclusion list for a full MS—data-dependent MS2 (dd-MS2) analysis. The resolution for this measurement was set to 60,000 FWHM for the full MS analysis and 15,000 FWHM for the dd-MS2 analysis. Normalized stepped collision energies of 10, 17.5, and 35 (normalized to m/z 500 [z = 1]) were applied. In order to ensure fragmentation of low abundance and close eluting isobaric compounds, the minimum automated33 gain control (AGC) target to trigger an MS2 measurement was set to zero and dynamic exclusion was set to one second. The generated MS2 spectra were investigated with the aid of Compound Discoverer, which enables comparison of the obtained MS2 spectra to the theoretical in silico generated MS2-spectra [38].
The criterion for metabolite identification was a mass accuracy <5 ppm for the proposed parent ions and diagnostic fragments along with the plausibility of observed fragments and observed retention times of metabolites in relation to each other. The biotransformations were identified by mass shifts of the detected fragments, indicative of hydroxylation (+15.9994 Da per hydroxylation), desaturation (−2.01565 Da), carbonylation (+13.9838 Da), dehydration (−18.0153 Da), and combinations thereof. The position of hydroxylation was narrowed down by a derivatization experiment employing iodomethane, which selectively methylates aromatic hydroxyl-groups (i.e., cumyl- and indazole-moiety).
4. Conclusions
Incubation with pHLM yielded 28 metabolites for CUMYL-THPINACA and 13 metabolites for ADAMANTYL-THPINACA. The observed extensive metabolism of the studied SCRAs again highlight, as previously observed for many other SCRAs, the need to include the metabolites in screening procedures—particularly in urine. Both compounds presented a highly abundant di-hydroxylated metabolite, which is recommended as a suitable target for screening procedures. For both compounds, in-source dehydration artefact formation was observed for a few hydroxylated metabolites, supporting the need for in vitro studies prior to moving on to in vivo measurements. However, several metabolites, sharing the same mass as the described dehydration artefacts, were identified. This emphasizes the requirement to thoroughly investigate all signals of potential metabolites in order not to miss potential biomarkers. Furthermore, as some dehydration products presented higher abundancies than the underlying metabolite, their detection may improve investigations of substance use and they should, therefore, be included into screening protocols. However, such recommendations would need to be verified by means of analysis of human urine samples.
The reported protocols, along with the instrumentation and software used, proved to be beneficial for the investigation of SCRA metabolite profiles. The in silico tools were invaluable in speeding up the elucidation of the metabolic profile of the studied SCRAs. Concerning the metabolism, the involvement of mainly CYP3A4 along with CYP3A5, was observed for both compounds. For CUMYL-THPINACA the additional involvement of 2D6, 2C8, and 2C19 was found (all to a lesser extent than for CYP3A4), making CUMYL-THPINACA less susceptible for metabolism-based drug−drug interactions or the effects of CYP-polymorphism. Due to the main involvement of CYP3A4 in the metabolism of ADAMANTYL-THPINACA, metabolic drug−drug interactions in combination with a strong CYP3A4 inhibitor are considered more likely with ADAMANTYL-THPINACA than with CUMYL-THPINACA.
Acknowledgments
The authors thank June Mercer-Chalmers-Bender for English language editing. Special thanks go to Christian Bissig from the Zurich Forensic Science Institute for providing reference material. Further thanks go to Priska Frei for valuable discussions and input during manuscript preparation.
Funding
This research received no external funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Data is available in the article.
Conflicts of Interest
The authors declare no conflict of interest.
Footnotes
Footnote Group
References
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References
- 1.European Monitoring Centre for Drugs and Drug Addiction . European Drug Report 2020: Trends and Developments. Publications Office of the EU; Luxembourg: 2020.
- 2.Castaneto M.S., Gorelick D.A., Desrosiers N.A., Hartman R.L., Pirard S., Huestis M.A. Synthetic cannabinoids: Epidemiology, pharmacodynamics, and clinical implications. Drug Alcohol Depend. 2014;144:12–41. doi: 10.1016/j.drugalcdep.2014.08.005.
- 3.Wiley J.L., Marusich J.A., Huffman J.W. Moving around the molecule: Relationship between chemical structure and in vivo activity of synthetic cannabinoids. Life Sci. 2014;97:55–63. doi: 10.1016/j.lfs.2013.09.011.
- 4.Gatch M.B., Forster M. Cannabinoid-like effects of five novel carboxamide synthetic cannabinoids. NeuroToxicology. 2019;70:72–79. doi: 10.1016/j.neuro.2018.11.004.
- 5.Fantegrossi W.E., Moran J.H., Radominska-Pandya A., Prather P.L. Distinct pharmacology and metabolism of K2 synthetic cannabinoids compared to Δ(9)-THC: Mechanism underlying greater toxicity? Life Sci. 2014;97:45–54. doi: 10.1016/j.lfs.2013.09.017.
- 6.Hutchison R.D., Ford B.M., Franks L.N., Wilson C.D., Yarbrough A.L., Fujiwara R., Su M.K., Fernandez D., James L.P., Moran J.H., et al. Atypical Pharmacodynamic Properties and Metabolic Profile of the Abused Synthetic Cannabinoid AB-PINACA: Potential Contribution to Pronounced Adverse Effects Relative to Δ(9)-THC. Front. Pharmacol. 2018;9:1084. doi: 10.3389/fphar.2018.01084.
- 7.Angerer V., Jacobi S., Franz F., Auwärter V., Pietsch J. Three fatalities associated with the synthetic cannabinoids 5F-ADB, 5F-PB-22, and AB-CHMINACA. Forensic Sci. Int. 2017;281:e9–e15. doi: 10.1016/j.forsciint.2017.10.042.
- 8.Harris C.R., Brown A. Synthetic Cannabinoid Intoxication: A Case Series and Review. J. Emerg. Med. 2013;44:360–366. doi: 10.1016/j.jemermed.2012.07.061.
- 9.Westin A.A., Frost J., Brede W.R., Gundersen P.O., Einvik S., Aarset H., Slørdal L. Sudden Cardiac Death Following Use of the Synthetic Cannabinoid MDMB-CHMICA. J. Anal. Toxicol. 2016;40:86–87. doi: 10.1093/jat/bkv110.
- 10.Hermanns-Clausen M., Kneisel S., Szabo B., Auwärter V. Acute toxicity due to the confirmed consumption of synthetic cannabinoids: Clinical and laboratory findings. Addiction. 2013;108:534–544. doi: 10.1111/j.1360-0443.2012.04078.x.
- 11.Trecki J., Gerona R.R., Schwartz M.D. Synthetic Cannabinoid-Related Illnesses and Deaths. N. Engl. J. Med. 2015;373:103–107. doi: 10.1056/NEJMp1505328.
- 12.Kleis J., Germerott T., Halter S., Héroux V., Roehrich J., Schwarz C.S., Hess C. The synthetic cannabinoid 5F-MDMB-PICA: A case series. Forensic Sci. Int. 2020;314:110410. doi: 10.1016/j.forsciint.2020.110410.
- 13.Norman C., Walker G., McKirdy B., McDonald C., Fletcher D., Antonides L.H., Sutcliffe O.B., Nic Daéid N., McKenzie C. Detection and quantitation of synthetic cannabinoid receptor agonists in infused papers from prisons in a constantly evolving illicit market. Drug Test. Anal. 2020;12:538–554. doi: 10.1002/dta.2767.
- 14.Mogler L., Franz F., Rentsch D., Angerer V., Weinfurtner G., Longworth M., Banister S.D., Kassiou M., Moosmann B., Auwärter V. Detection of the recently emerged synthetic cannabinoid 5F-MDMB-PICA in ‘legal high’ products and human urine samples. Drug Test. Anal. 2018;10:196–205. doi: 10.1002/dta.2201.
- 15.Norman C., Halter S., Haschimi B., Acreman D., Smith J., Krotulski A.J., Mohr A.L.A., Logan B.K., NicDaéid N., Auwärter V., et al. A transnational perspective on the evolution of the synthetic cannabinoid receptor agonists market: Comparing prison and general populations. Drug Test. Anal. 2021;13:841–852. doi: 10.1002/dta.3002.
- 16.European Monitoring Centre for Drugs and Drug Addiction . EMCDDA Initial Report on the New Psychoactive Substance Methyl 3,3-Dimethyl-2-(1-(Pent-4-En-1-yl)-1H-Indazole-3-Carboxamido)Butanoate (MDMB-4en-PINACA), Initial Reports. Publications Office of the European Union; Luxembourg: 2020. [(accessed on 1 December 2020)]. Available online: https://www.emcdda.europa.eu/publications/initial-reports/mdmb-4en-pinaca_en.
- 17.Scheidweiler K.B., Jarvis M.J.Y., Huestis M.A. Nontargeted SWATH acquisition for identifying 47 synthetic cannabinoid metabolites in human urine by liquid chromatography-high-resolution tandem mass spectrometry. Anal. Bioanal. Chem. 2015;407:883–897. doi: 10.1007/s00216-014-8118-8.
- 18.Diao X., Huestis M.A. Approaches, Challenges, and Advances in Metabolism of New Synthetic Cannabinoids and Identification of Optimal Urinary Marker Metabolites. Clin. Pharmacol. Ther. 2017;101:239–253. doi: 10.1002/cpt.534.
- 19.Franz F., Angerer V., Moosmann B., Auwärter V. Phase I metabolism of the highly potent synthetic cannabinoid MDMB-CHMICA and detection in human urine samples. Drug Test. Anal. 2017;9:744–753. doi: 10.1002/dta.2049.
- 20.Diao X., Huestis M.A. New Synthetic Cannabinoids Metabolism and Strategies to Best Identify Optimal Marker Metabolites. Front. Chem. 2019;7:109. doi: 10.3389/fchem.2019.00109.
- 21.Bowden M., Williamson J. Cannabinoid Compounds. WO2014/167530/A1. 2014 Apr 11;
- 22.Åstrand A., Vikingsson S., Lindstedt D., Thelander G., Gréen H., Kronstrand R., Wohlfarth A. Metabolism study for CUMYL-4CN-BINACA in human hepatocytes and authentic urine specimens: Free cyanide is formed during the main metabolic pathway. Drug Test. Anal. 2018;10:1270–1279. doi: 10.1002/dta.2373.
- 23.Staeheli S.N., Poetzsch M., Veloso V.P., Bovens M., Bissig C., Steuer A.E., Kraemer T. In vitro metabolism of the synthetic cannabinoids CUMYL-PINACA, 5F–CUMYL-PINACA, CUMYL-4CN-BINACA, 5F–CUMYL-P7AICA and CUMYL-4CN-B7AICA. Drug Test. Anal. 2018;10:148–157. doi: 10.1002/dta.2298.
- 24.Staeheli S.N., Steuer A.E., Kraemer T. Identification of urinary metabolites of the synthetic cannabinoid 5F-CUMYL-P7AICA in human casework. Forensic Sci. Int. 2019;294:76–79. doi: 10.1016/j.forsciint.2018.11.002.
- 25.Mogler L., Wilde M., Huppertz L.M., Weinfurtner G., Franz F., Auwärter V. Phase I metabolism of the recently emerged synthetic cannabinoid CUMYL-PEGACLONE and detection in human urine samples. Drug Test. Anal. 2018;10:886–891. doi: 10.1002/dta.2352.
- 26.Mogler L., Halter S., Wilde M., Franz F., Auwärter V. Human phase I metabolism of the novel synthetic cannabinoid 5F-CUMYL-PEGACLONE. Forensic Toxicol. 2019;37:154–163. doi: 10.1007/s11419-018-0447-4.
- 27.Asada A., Doi T., Tagami T., Takeda A., Satsuki Y., Kawaguchi M., Nakamura A., Sawabe Y. Cannabimimetic activities of cumyl carboxamide-type synthetic cannabinoids. Forensic Toxicol. 2018;36:170–177. doi: 10.1007/s11419-017-0374-9.
- 28.Schoeder C.T., Hess C., Madea B., Meiler J., Müller C.E.J.F.T. Pharmacological evaluation of new constituents of “Spice”: Synthetic cannabinoids based on indole, indazole, benzimidazole and carbazole scaffolds. Forensic Toxicol. 2018;36:385–403. doi: 10.1007/s11419-018-0415-z.
- 29.EMCDDA-Europol Annual Report on the Implementation of Council Decision 2005/387/JHA. [(accessed on 26 March 2021)];2015 Available online: https://www.emcdda.europa.eu/system/files/publications/2880/TDAS16001ENN.pdf.
- 30.Kovács K., Kereszty É., Berkecz R., Tiszlavicz L., Sija É., Körmöczi T., Jenei N., Révész-Schmehl H., Institóris L. Fatal intoxication of a regular drug user following N-ethyl-hexedrone and ADB-FUBINACA consumption. J. Forensic Leg. Med. 2019;65:92–100. doi: 10.1016/j.jflm.2019.04.012.
- 31.Kadomura N., Ito T., Kawashima H., Matsuhisa T., Kinoshita T., Soda M., Kohyama E., Iwaki T., Nagai H., Kitaichi K. In vitro metabolic profiles of adamantyl positional isomers of synthetic cannabinoids. Forensic Toxicol. 2021;39:26–44. doi: 10.1007/s11419-020-00538-7.
- 32.Broberg M.N., Knych H., Bondesson U., Pettersson C., Stanley S., Thevis M., Hedeland M. Investigation of Equine In Vivo and In Vitro Derived Metabolites of the Selective Androgen Receptor Modulator (SARM) ACP-105 for Improved Doping Control. Metabolites. 2021;11:85. doi: 10.3390/metabo11020085.
- 33.Holm N.B., Nielsen L.M., Linnet K. CYP3A4 Mediates Oxidative Metabolism of the Synthetic Cannabinoid AKB-48. AAPS J. 2015;17:1237–1245. doi: 10.1208/s12248-015-9788-7.
- 34.Nielsen L.M., Holm N.B., Olsen L., Linnet K. Cytochrome P450-mediated metabolism of the synthetic cannabinoids UR-144 and XLR-11. Drug Test. Anal. 2016;8:792–800. doi: 10.1002/dta.1860.
- 35.Zanger U.M., Schwab M. Cytochrome P450 enzymes in drug metabolism: Regulation of gene expression, enzyme activities, and impact of genetic variation. Pharmacol. Ther. 2013;138:103–141. doi: 10.1016/j.pharmthera.2012.12.007.
- 36.Gaunitz F., Thomas A., Fietzke M., Franz F., Auwärter V., Thevis M., Mercer-Chalmers-Bender K. Phase I metabolic profiling of the synthetic cannabinoids THJ-018 and THJ-2201 in human urine in comparison to human liver microsome and cytochrome P450 isoenzyme incubation. Int. J. Leg. Med. 2019;133:1049–1064. doi: 10.1007/s00414-018-1964-8.
- 37.Gaunitz F., Dahm P., Mogler L., Thomas A., Thevis M., Mercer-Chalmers-Bender K.J.A., Chemistry B. In vitro metabolic profiling of synthetic cannabinoids by pooled human liver microsomes, cytochrome P450 isoenzymes, and Cunninghamella elegans and their detection in urine samples. Anal. Bioanal. Chem. 2019;411:3561–3579. doi: 10.1007/s00216-019-01837-8.
- 38.Swortwood M.J., Carlier J., Ellefsen K.N., Wohlfarth A., Diao X., Concheiro-Guisan M., Kronstrand R., Huestis M.A. In vitro, in vivo and in silico metabolic profiling of α-pyrrolidinopentiothiophenone, a novel thiophene stimulant. Bioanalysis. 2016;8:65–82. doi: 10.4155/bio.15.237.
- 39.Mardal M., Dalsgaard P.W., Qi B., Mollerup C.B., Annaert P., Linnet K. Metabolism of the synthetic cannabinoids AMB-CHMICA and 5C-AKB48 in pooled human hepatocytes and rat hepatocytes analyzed by UHPLC-(IMS)-HR-MSE. J. Chromatogr. B Analyt. Biomed. Life Sci. 2018;1083:189–197. doi: 10.1016/j.jchromb.2018.03.016.
- 40.Carlier J., Diao X., Huestis M.A. Synthetic cannabinoid BB-22 (QUCHIC): Human hepatocytes metabolism with liquid chromatography-high resolution mass spectrometry detection. J. Pharm. Biomed. Anal. 2018;157:27–35. doi: 10.1016/j.jpba.2018.05.007.
- 41.Fabregat-Safont D., Mardal M., Noble C., Cannaert A., Stove C.P., Sancho J.V., Linnet K., Hernández F., Ibáñez M. Comprehensive investigation on synthetic cannabinoids: Metabolic behavior and potency testing, using 5F-APP-PICA and AMB-FUBINACA as model compounds. Drug Test. Anal. 2019;11:1358–1368. doi: 10.1002/dta.2659.
- 42.Kevin R.C., Lefever T.W., Snyder R.W., Patel P.R., Fennell T.R., Wiley J.L., McGregor I.S., Thomas B.F.J.F.T. In vitro and in vivo pharmacokinetics and metabolism of synthetic cannabinoids CUMYL-PICA and 5F-CUMYL-PICA. Forensic Toxicol. 2017;35:333–347. doi: 10.1007/s11419-017-0361-1.
- 43.Montesano C., Vincenti F., Fanti F., Marti M., Bilel S., Togna A.R., Gregori A., Di Rosa F., Sergi M. Untargeted Metabolic Profiling of 4-Fluoro-Furanylfentanyl and Isobutyrylfentanyl in Mouse Hepatocytes and Urine by Means of LC-HRMS. Metabolites. 2021;11:97. doi: 10.3390/metabo11020097.
- 44.Seitzer P.M., Searle B.C. Incorporating In-Source Fragment Information Improves Metabolite Identification Accuracy in Untargeted LC-MS Data Sets. J. Proteome Res. 2019;18:791–796. doi: 10.1021/acs.jproteome.8b00601.
- 45.Anzenbacher P., Anzenbacherová E. Cytochromes P450 and metabolism of xenobiotics. Cell. Mol. Life Sci. 2001;58:737–747. doi: 10.1007/PL00000897.
- 46.Hemmer S., Manier S.K., Fischmann S., Westphal F., Wagmann L., Meyer M.R. Comparison of Three Untargeted Data Processing Workflows for Evaluating LC-HRMS Metabolomics Data. Metabolites. 2020;10:378. doi: 10.3390/metabo10090378.
- 47.Gandhi A.S., Zhu M., Pang S., Wohlfarth A., Scheidweiler K.B., Liu H.F., Huestis M.A. First characterization of AKB-48 metabolism, a novel synthetic cannabinoid, using human hepatocytes and high-resolution mass spectrometry. AAPS J. 2013;15:1091–1098. doi: 10.1208/s12248-013-9516-0.
Associated Data
Data Availability Statement
Data is available in the article.