Analysis of AMB-FUBINACA Biotransformation Pathways in Human Liver Microsome and Zebrafish Systems by Liquid Chromatography-High Resolution Mass Spectrometry
China University of Political Science and Law, Beijing, China
Key Laboratory of Forensic Toxicology, Ministry of Public Security, Beijing, China
Drug Intelligence and Forensic Center of Ministry of Public Security, Beijing, China
College of Criminal Science and Technology, People‘s Public Security University of China, Beijing, China
Drug and Food Anti Doping Laboratory, China Anti-Doping Agency, Beijing, China
Abstract
In this study, the metabolic profiles of a new illicit drug AMB-FUBINACA were investigated using both human liver microsome and zebrafish models. Liquid chromatography Q Extractive HF Hybrid Quadrupole-Orbitrap mass spectrometry (LC-QE-HF-MS) was employed to analyze the metabolic sites and pathways. AMB-FUBINACA was added to the in vitro liver microsome incubation model to simulate the metabolic processes in human body. The results showed that a total of 17 metabolites were generated in the human liver microsome model; the main metabolic pathways of the phase I metabolism included ester hydrolysis, methylation, ester hydrolysis combined with decarboxylation, hydroxylation, ester hydrolysis combined with indazole ring hydroxylation, etc. while glucuronidation served as the main metabolic pathway of the phase II metabolism. The zebrafish system produced a similar result with 16 of the same 17 metabolites identified. The phase I metabolites M3.1 (ester hydrolysis), M1.2 (alkyl chain hydrolysis) and the phase II metabolite M3.2 (M3.1 glucuronide) were recommended to be the potential poisoning markers.
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Keywords: AMB-FUBINACA, synthetic cannabinoids, HR-MS, human liver microsome, metabolism, zebrafish
Article notes
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Received 2018 Dec 26; Accepted 2019 Mar 26; Collection date 2019.
Introduction
As of June 2018, 803 new psychoactive substances have been reported to the UNODC by 111 countries and territories, where new psychoactive substances of synthetic cannabinoids topped the list by covering 251 of them (accounting for 31.2%) (UNODC, 2018).
Synthetic cannabinoids (SCs) are a class of compounds similar in pharmacological and physiological effects to tetrahydrocannabinol (THC), the main active constituent of natural cannabis. By binding to the cannabinoid receptor CB1 and/or CB2, this class of substances can generate similar or even stronger physiological and pharmacological effects in vivo compared with THC. In March 2011, the Drug Enforcement Administration (DEA) first listed such drugs as Schedule I controlled substances1 Correspondingly, the legal measures were formulated in succession for the controlling consideration in many countries worldwide (EMCDDA, 2015). However, in order to evade legal sanctions (Langer et al., 2015; Qian et al., 2016), lawbreakers have been continuing to develop substitutes with similar pharmacological activities. Since naphthoylindoles as the first generation of SCs that appeared in 2006, they have evolved to eighth generation indazoles/indoleamides with reported coverage of more than 20 different structures2.
Most SCs are highly lipophilic and can induce extensive metabolism in the human body. As a result, it can be difficult to detect the parent drugs in the conventional biological samples, and the metabolite markers for monitoring the misuse of these drugs should be identified. Gas chromatography with mass spectrometry(GC-MS)and liquid chromatography with mass spectrometry(LC-MS)techniques are the most frequently used instrumentations for detecting synthetic cannabinoids. In aspect of identifying SC chemical structures, GC-MS has its limitation in detecting SC metabolites due to their high polarity and low volatility (Hasegawa et al., 2015a,b). In contrast, LC-MS is the preferred instrumentation for the analytical determination of non-volatile compounds, polar compounds, thermally unstable compounds and macromolecular compounds (Castaneto et al., 2015; Carlier et al., 2017a; Kavanagh et al., 2017).
3- methyl-2-[1- (4-fluorobenzyl) indazole-3-formamido] butyl butyrate (Figure 1), a AB-FUBINACA derivative, is a new psychoactive substance of SCs in the indazole-3-carboxamide family (Carlier et al., 2017b). It was first detected in the confiscated drugs in 2015 and has become one of the most popular SCs in recent years (Akamatsu and Yoshida, 2016; Qian et al., 2018a,b). AMB-FUBINACA-related cases were first reported in the “Zombie” Outbreak in New York in 2016 (Anghelescu, 2017). In June 2018, AMB-FUBINACA was included in the legal supervision list in China.
Due to the relatively short history of indoleamides and the lack in relevant international studies on such SCs, the investigation on the in vivo bioconversion and related metabolic pathways, in particular, of such drugs still remains in the primary stage. Based on the documentation of related literature, the main metabolic pathways of the newer generation SCs involve terminal amide and ester hydrolysis as well as hydroxylation combined with glucuronidation (Kavanagh et al., 2017).
Zebrafish is an important pharmaceutical tool for early drug discovery in recent years, and has been widely used in the process of screening and toxicity of drugs (Goldsmish, 2004; Jones et al., 2008; Sukardi et al., 2011). Studies have shown that zebrafish expresses a variety of drug metabolic enzymes, such as phase I metabolic enzyme cytochrome P450 (cytochrome P450, CYP450), and phase II metabolic enzyme uridine diphospho-glucuronosyl transferase (UGT) and sulfo-transferase (SULT), and so on, which are highly similar to the mammalian metabolic enzyme system (Bresolin et al., 2005; Valim Brigante et al., 2018). Zebrafish, representing a useful model for the study of human diseases with high throughput potential and efficacy, can be used to test the efficacy of neuroactive compounds (Bruni et al., 2016). Although the initial toxicity test of THC on zebrafish was conducted in 1975 (Thomas, 1975), up to now, there have been only a limited number of studies to use zebrafish as a model study drugs of abuse (Achenbach et al., 2018). In the current study, an in vivo metabolic animal model of zebrafish was established to verify themetabolic pathways of AMB-FUBINACA obtained from human liver microsomal experiment in vitro.
Materials and Methods
Instruments and Materials
AMB-FUBINACA (C21H22FN3O3: m/z, 384.17180; ≥ 98%) reference substance was obtained from the Key Laboratory of Forensic Toxicology, Ministry of Public Security; male and female liver microsomes (pHLM; protein concentration, 20 mg mL−1)was purchased from Beijing iPhase Biosciences (Beijing)Co., Ltd.; chromatographically pure acetonitrile, methanol, formic acid were purchased from Merck & Co., Inc.; ultrapure water prepared by Milli-Q Advantage A10 automatic distilled water machine which were purchased from Merck & Co., Inc.; NADPH regeneration system(1 mg mL−1 liver microsome mixture, 3.3 mM Mg2+, 1.3 mM NADP+, 3.3 mM Glucose-6-phosphate, 0.4 U mL−1 Glucose-6-phosphate dehydrogenase)was purchased from Beijing iPhase Biosciences (Beijing)Co., Ltd.; Uridine diphos phate glucuronic acid trisodium salt (UDPGA) was obtained from Rild Research Institute for Liver Diseases (Shanghai) Co., Ltd.; Zebrafish was obtained from Beijing University of Technology; SPE-Pak@Vac PSA Extraction column were purchased from Waters Co., Inc.
LC and MS Conditions
The ultra high pressure LC system was connected to the Q Exactive HF MS (Thermo Fisher Scientific,USA) configured with HESI in series. The column was Thermo ®Hypersil GOLD column (50 × 2.1 mm, 1.9 μm); a 13 min gradient elution was developed with mobile phase A (5 mM ammonium formate, 0.1% (v/v) formic acid/water) and mobile phase B [0.1% (v/v) formic acid/ acetonitrile]. The elution procedure was carried out as follows: 5% B for 0.0–0.5min; 5–95% B for 0.5–6.5 min; maintaining 95% B for 6.5–11.5 min; 5%B for 11.5–11.6 min; maintaining 5% B for 11.6–13.0 min with the flow velocity at 0.3 mL·min−1. The column temperature was set at 30°C and the injection volume was 5 μL.
The instrument was calibrated under the positive ion mode prior to use. The conditions of ion source were set as follows: ion transfer capillary temperature, 320°C; auxiliary gas heating temperature, 350°C; sheath gas flow velocity, 40 AUs; auxiliary gas flow velocity, 10 AUs; spray voltage, 3.80 kV; S-lens RF level, 50.0. Under the MS positive ion full-scan mode, the parent ions of metabolites with specific mass-to-charge ratio were selected as the targets for secondary MS analysis. The exact molecular weight of the metabolites was calculated using the software Mass Frontier version 2.0 (Thermo).
The parameters of the full-scan data acquisition were set as follows: resolution, 60,000; automatic gain control (AGC), 3.0 × 106; maximum injection time (IT), 50 ms; scan range, 100~1,000 m/z. The secondary parameters of the target ion were set as follows: resolution, 30,000; target AGC, 1.0 × 105; maximum IT, 50 ms; isolation window, 1.0 m/z; normalized collision energy, 25, 35, and 45.
Human Liver Microsome Study
AMB-FUBINACA was dissolved in methanol to prepare a solution at the concentration of 5 mmol·L−1, followed by adding 1 μL of it to the freshly prepared system solution to achieve the final system volume of 200 μL (regeneration system solution 12 μL+buffer solution 178 μL+liver microsome 10 μL). The reaction was initiated by the addition of a regeneration system and the mixture was then incubated for 1 h at 37°C. Then, UDPGA was added and incubated for another half an hour. After cooling to terminate the reaction 200 μL of acetonitrile was added, followed by centrifugation at 13,000 × g for 10 min; 100 μL of the supernatant was pipetted to the glass sample bottle after membrane filtering for subsequent instrument analysis. The system control and data acquisition for the sample was conducted with the software Trance Finder 4.1 General Quan version. While the blank solution, the incubated reaction system solution without target drug, the reaction system solution without liver microsomes and the reaction system solution without regeneration system were also analyzed as the controls.
Zebrafish
Adult male and female zebrafish (6–10 months; 0.8–1.2 g) were randomly divided into 4 groups with 3 fishes in each group. One group was the blank control group, and the other three groups were the experimental groups (Figure 2).
After exposing to 0.1, 0.5, and 1 μg/mL of AMB-FUBINACA in solution (24°C) for 24 h, zebrafish samples were removed, followed by cleaning with water and being euthanized. The zebrafish were homogenized with a ball mill, and the samples were loaded onto a PSA extraction column (1 mL), which had been conditioned with methanol (1 mL) and water (1 mL). The column was washed with acetonitrile (1 mL). The eluent was dried by evaporation at 60°C under a stream of nitrogen. The residue was reconstituted in the 100 μL flow phase composed of acetronile, and 10 μL of the reconstituted solution was injected for LC-QE HF analysis (Xu et al., 2016).
This study was carried out in accordance with the regulations and guidelines on using animals for scientific research purposes, the Animal Ethics Committee at China University of Political Science and Law.
Results and Discussion
The characteristic fragment ions and the fragmentation pathways of AMB-FUBINACA parent structure were analyzed carefully. As shown in Figure 3, the core structure of acronym FUBINACA is composed of the fluorobenzyl substituent and indazole-formamido. Our experiment demonstrated that the amide bond was most susceptible to cleavage, thus forming the fragment ion at m/z 253.0772 (C15H10FN2O+), and the cleavage between the indazole ring and fluorobenzyl produced the fluorobenzyl ion (C7H6F+) at m/z 109.0448. Thus, the analysis of the structural characteristics of AMB-FUBINACA is helpful to the structural identification of its metabolites.
A total of 17 in vitro metabolites of AMB-FUBINACA were identified in the human liver microsome system by analyzing their accurate molecular masses and ddms2 spectra. The retention time of AMB-FUBINACA was determined to be 6.09 min, while the retention time of the 17 metabolites ranged from 4.04 to 6.43 min, where the mass errors were within 2.0 ppm (Table 1). These metabolites included 2 alkyl chain hydroxylated metabolites (M1.1, M1.2), 1 indazole ring hydroxylated metabolite (M2.1), 1 indazole ring hydroxylated metabolite combined with glucuronidation (M2.2), 1 ester hydrolysis metabolite (M3.1), 1 ester hydrolysis metabolite combined with glucuronidation (M3.2), 2 ester hydrolysis metabolites combined with alkyl chain hydroxylation (M4.1, M4.2), 2 ester hydrolysis metabolites combined with indazole ring hydroxylation (M5.1, M5.2), 1 ester hydrolysis metabolite combined with dehydroxylation (M6), 1 ester hydrolysis metabolite combined with ethylation (M7), 1 ester hydrolysis, ethylated metabolite combined with fluorobenyl loss (M8), 1 metabolite with fluorobenyl loss (M9), 1 ester hydrolysis metabolite combined with fluorobenyl loss (M10), and 2 metabolites with dehydroxylation (M11.1,11.2).
| Peak ID | Metabolic reaction | RT/ min | Accurate mass(m/z) | Mass error | Chemical formula | Fragment ion (m/z) |
|---|---|---|---|---|---|---|
| AMB- FUBINACA | 6.09 | 384.1718 | −0.2 | C21H22FN3O3 | 109, 253, 324 | |
| M1.1 | Hydroxylation (butane moiety) | 5.21 | 400.1667 | −0.2 | C21H22FN3O4 | 109, 253, 382 |
| M1.2 | Hydroxylation (butane moiety) | 5.35 | 400.1667 | −0.2 | C21H22FN3O4 | 109, 253, 382 |
| M2.1 | Hydroxylation (indazole) | 5.69 | 400.1667 | 0.3 | C21H22FN3O4 | 109, 269, 340 |
| M2.2 | Hydroxylation+ glucuronidation | 4.67 | 576.1988 | −1.2 | C27H30FN3O10 | 109, 269, 445 |
| M3.1 | Ester hydrolysis | 5.44 | 370.1561 | −0.2 | C20H20FN3O3 | 109, 253, 271 |
| M3.2 | Ester hydrolysis+ glucuronidation | 4.73 | 546.1882 | 0.6 | C26H28FN3O9 | 109, 253, 324 |
| M4.1 | Ester hydrolysis+ Hydroxylation (butane moiety) | 4.74 | 386.1510 | 0.5 | C20H20FN3O4 | 109, 253, 271 |
| M4.2 | Ester hydrolysis+ Hydroxylation (butane moiety) | 4.81 | 386.1510 | 0.5 | C20H20FN3O4 | 109, 253, 271 |
| M5.1 | Ester hydrolysis+ Hydroxylation (indazole) | 5.00 | 386.1510 | 1.0 | C20H20FN3O4 | 109, 269, 340 |
| M5.2 | Ester hydrolysis+ Hydroxylation+ glucuronidation | 4.09 | 562.1831 | −0.7 | C26H28FN3O10 | 109, 269, 340 |
| M6 | Ester hydrolysis+ dehydrogenation | 5.42 | 368.1405 | 0.4 | C20H18FN3O3 | 109, 253, 271 |
| M7 | Ester hydrolysis+ ethylation | 6.43 | 398.1874 | −0.6 | C22H24FN3O3 | 109, 253, 324 |
| M8 | Ester hydrolysis+ ethylation+ fluorobenzyl loss | 5.15 | 290.1499 | −1.9 | C15H19N3O3 | 145, 163, 216 |
| M9 | Fluorobenzyl loss | 4.84 | 276.1342 | −1.2 | C14H17N3O3 | 145, 163, 216 |
| M10 | Fluorobenzyl loss+ Ester hydrolysis | 4.04 | 262.1186 | −0.6 | C13H15N3O3 | 145, 200, 216 |
| M11.1 | Dehydrogenation | 5.43 | 382.1561 | 0.4 | C21H20FN3O3 | 109, 253, 271 |
| M11.2 | Dehydrogenation | 6.07 | 382.1561 | −0.6 | C21H20FN3O3 | 109, 253, 271 |
The elemental compositions of protonated molecules of metabolites together with their theoretical m/z, mass errors, retention times, metabolic reactions, and the characteristics of product ions are listed in Table 1. Figure 3 shows the metabolic pathways of AMB-FUBINACA after in vitro liver microsome incubation. Figure 4 illustrates the characteristic fragment ions and fragmentation pathways of all metabolites.
Blank Control Trail
The reaction system solution without the target drug, without liver microsomes and without the NADPH regeneration system were used as control. No metabolites were detected in the solution of the reaction system without liver microsomes or in the samples of the incubation reaction system without the target drug, which proved that these metabolites were produced by the introduction of microsomes. In the reaction system without the regeneration system, only one metabolite M3.1 was detected, indicating that NADPH reductive coenzyme was an indispensable auxiliary factor in drug biotransformation reaction.
Potential Poisoning Markers for This Drug
Based on the documentation of related literature, the main metabolic pathways of new generation SCs involve terminal amide and ester hydrolysis as well as hydroxylation combined with glucuronidation (Kavanagh et al., 2017). As the most abundant metabolites, ester hydrolysis metabolites M3 group plays a very important role in the identification of this drug. However, these metabolites can be formed from other synthetic cannabinoids as well-including AB-FUBINACA (Hsin-Hung Chen et al., 2016). Therefore, identification of these metabolites on their own is not sufficient to indicate AMB-FUBINACA intake. The alkyl chain hydroxylated metabolites (M1.2) contains all the structural characteristics of AMB-FUBINACA and is one of the most abundant metabolites. In summary, the metabolites M3 group in combination with M1.2 were identified as the potential poisoning markers of AMB-FUBINACA in this study.
Conclusion
Metabolism of AMB-FUBINACA was investigated using both human liver microsome and zebrafish systems, where ultra high pressure LC-HR-MS was employed to analyze the metabolic sites and metabolic pathways. The results demonstrated that the zebrafish system produced a similar result with 16 of the same 17 metabolites identified. The phase I main metabolic pathways included ester hydrolysis, methylation, hydroxylation, ester hydrolysis combined with indazole ring hydroxylation, etc. Glucuronidation served as the main phase II metabolic pathway. As the most important metabolites, M3.1 (ester hydrolysis), M1.2 (alkyl chain hydrolysis), and M3.2 (glucuronidation of M3.1) can be used as potential poisoning markers for this drug. Owing to the accurate, simple and efficient advantages, the analytical method developed in this study provides a detection tool in clinical and court cases against the abuse of this new psychoactive substance.
Ethics Statement
This study was carried out in accordance with the regulations and guidelines on using animals for scientific research purposes, the Animal Ethics Committee at China University of Political Science and Law.
Acknowledgments
This research was supported by Foundation of Key Laboratory of Evidence Law and Forensic Science, Ministry of Education (No.2018KFKT01). Guangdong Provincial Key Laboratory of Emergency Test for Dangerous Chemicals (No.KF2018002).
Footnotes
Footnote Group
References
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References
- Achenbach J. C., Hill J., Hui J. P. M., Morash M. G., Berrue F., Ellis L. D. (2018). Analysis of the uptake, metabolism, and behavioral effects of cannabinoids on zebrafish larvae. Zebrafish 15, 349–360. 10.1089/zeb.2017.1541
- Akamatsu S., Yoshida M. (2016). Fragmentation of synthetic cannabinoids with an isopropyl group or a tert-butyl group ionized by electron impact and electrospray. J. Mass Spectrom. 51:28–32. 10.1002/jms.3722
- Anghelescu I. (2017). “Zombie” outbreak caused by synthetic cannabinoid. N. Engl. J. Med. 376, 1596–1597. 10.1056/NEJMoa1610300
- Bresolin T., de Freitas Rebelo M., Celso Dias Bainy A. (2005). Expression of PXR, CYP3A and MDR1 genes in liver of zebrafish. Comp. Biochem. Physiol. C 140, 403–407. 10.1016/j.cca.2005.04.003
- Bruni G., Rennekamp A. J., Velenich A., McCarroll M., Gendelev L., Fertsch E., et al. (2016). Zebrafish behavioral profiling identifies multitarget antipsychotic-like compounds. Nat. Chem. Biol. 12, 559–566. 10.1038/nchembio.2097
- Carlier J., Diao X., Scheidweiler K. B., Huestis M. A. (2017b). Distinguishing intake of new synthetic cannabinoids ADB-PINACA and 5F-ADB-PINACA with human hepatocyte metabolites and high-resolution mass spectrometry. Clin. Chem. 63:267575. 10.1373/clinchem.2016.267575
- Carlier J., Diao X., Sempio C., Huestis M. A. (2017a). Identification of new synthetic cannabinoid ADB-CHMINACA (MAB-CHMINACA) metabolites in human hepatocytes. AAPS J. 19, 568–577. 10.1208/s12248-016-0037-5
- Castaneto M. S., Wohlfarth A., Pang S., Zhu M., Scheidweiler K. B., Kronstrand R., et al. (2015). Identification of AB-FUBINACA metabolites in human hepatocytes and urine using high-resolution mass spectrometry. Forensic Toxicol. 33, 295–310. 10.1007/s11419-015-0275-8
- EMCDDA (2015). European Drug Report 2015: Trends and Developments, 2015. Available online at: http://www.emcdda.europa.eu/attachements.cfm/att_239505_EN_TDAT15001ENN.pdf (accessed September, 2016).
- Goldsmish P. (2004). Zebrafish as a pharmacological tool: the how, why and when. Curr. Opin. Pharm. 4, 504–512. 10.1016/j.coph.2004.04.005
- Hasegawa K., Wurita A., Minakata K., Gonmori K., Nozawa H., Yamagishi I., et al. (2015b). Postmortem distribution of MAB-CHMINACA in body fluids and solid tissues of a human cadaver. Forensic Toxicol. 33, 380–387. 10.1007/s11419-015-0272-y
- Hasegawa K., Wurita A., Minakata K., Gonmori K., Nozawa H., Yamagishi I., et al. (2015a). Postmortem distribution of AB-CHMINACA, 5-fluoro-AMB, and diphenidine in body fluids and solid tissues in a fatal poisoning case: usefulness of adipose tissue for detection of the drugs in unchanged forms. Forensic Toxicol. 33, 45–53. 10.1007/s11419-014-0245-6
- Hsin-Hung Chen M., Dip A., Ahmed M., Tan M. L., Walterscheid J. P., Sun H., et al. (2016). Detection and characterization of the effect of AB-FUBINACA and its metabolites in a rat model. J. Cell. Biochem. 117, 1033–1043. 10.1002/jcb.25421
- Jones H. S., Panter G. H., Hutchinson T., Chipman K. J. (2008). Cytochrome P450s and glucuronosyl transferase in zebrafish larvae. Toxicology 253:12 10.1016/j.tox.2008.07.011
- Kavanagh P., Grigoryev A., Krupina N. (2017). Detection of metabolites of two synthetic cannabinoids, MDMB-FUBINACA and ADB-FUBINACA, in authentic human urine specimens by accurate mass LC–MS: a comparison of intersecting metabolic patterns. Forensic Toxicol. 35, 1–17. 10.1007/s11419-017-0356-y28127407
- Langer N., Lindigkeit R., Schiebel H.-M., Papke U., Ernst L., Beuerle T. (2015). Identification and quantification of synthetic cannabinoids in “spice-like” herbal mixtures: update of the German situation for the spring of 2015. Forensic Toxicol. 34, 94–107. 10.1016/j.forsciint.2016.10.023
- Qian Z., Cuimei L., Zhendong H., Lisheng G. (2018b). Fragmentation pathway of synthetic cannabinoids with an indole/indazole-3-carboxamide structure bearing a 1-carbamoylpropyl group using UPLC-Q-TOF MS. J. Chin. Mass Spectrom. Soc. 39, 323–330. 10.7538/zpxb.2017.0103
- Qian Z., Hua Z., Liu C., Jia W. (2016). Four types of cannabinoid indazole and indole derivatives, ADB-BINACA, AB-FUBICA, ADB-FUBICA, and AB-BICA, identified as new psychoactive substances. Forensic Toxicol. 34, 133–143. 10.1007/s11419-015-0297-2
- Qian Z., Yuemeng C., Lisheng G., Hui Z., Cuimei L. (2018a). Identification of “kreischen aus deutschland” by GC-MS. Chin. J. Forensic Med. 33, 335–340.
- Sukardi H., Chng H. T., Chan E. C., Gong Z., Lam S. H. (2011). Zebrafish for drug toxicity screening: bridging the in vitro cell-based models and in vivo mammalian models. Exp. Opin. Drug Metab. Toxicol. 7, 579–589. 10.1517/17425255.2011.562197
- Thomas R. J. (1975). The toxicologic and teratologic effects of delta-9-tetrahydrocannabinol in the zebrafish embryo. Toxicol. Appl. Pharmacol. 32, 184–190. 10.1016/0041-008X(75)90209-4
- UNODC (2018). World Drug Report 2018: Analysis of Drug Market 2018. Available online at: https://www.unodc.org/wdr2018/index.html
- Valim Brigante T. A., Abe F. R., Zuardi A. W., Hallak J. E. C., Crippa J. A. S., de Oliveira D. P. (2018). Cannabidiol did not induce teratogenicity or neurotoxicity in exposed zebrafish embryos. Chem. Biol. Interact. 291, 81–86. 10.1016/j.cbi.2018.06.008
- Xu D., Zhang L., Wang J., Huang J., Guo Z., Lin K. (2016). Determination of zaleplon and its metabolites in human blood by QuEChERS-ultra performance liquid chromatography-mass spectrometry. Chin. J. Analy. Chem. 44, 1059–1064. 10.11895/j.issn.0253-3820.160033