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Yeh YL, Wen CY, Hsieh CL, Chang YH, Wang SM. In vitro metabolic studies and machine learning analysis of mass spectrometry data: A dual strategy for differentiating alpha-pyrrolidinohexiophenone (α-PHP) and alpha-pyrrolidinoisohexanophenone (α-PiHP) in urine analysis. Forensic Sci Int 2024; 361:112134. [PMID: 38996540 DOI: 10.1016/j.forsciint.2024.112134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 06/22/2024] [Accepted: 07/01/2024] [Indexed: 07/14/2024]
Abstract
Synthetic cathinones are some of the most prevalent new psychoactive substances (NPSs) globally, with alpha-pyrrolidinoisohexanophenone (α-PiHP) being particularly noted for its widespread use in the United States, Europe, and Taiwan. However, the analysis of isomeric NPSs such as α-PiHP and alpha-pyrrolidinohexiophenone (α-PHP) is challenging owing to similarities in their retention times and mass spectra. This study proposes a dual strategy based on in vitro metabolic experiments and machine learning-based classification modelling for differentiating α-PHP and α-PiHP in urine samples: (1) in vitro metabolic experiments using pooled human liver microsomes and liquid chromatography tandem quadrupole time-of-flight mass spectrometry (LC-QTOF-MS) were conducted to identify the key metabolites of α-PHP and α-PiHP from the high-resolution MS/MS spectra. After 5 h incubation, 71.4 % of α-PHP and 64.7 % of α-PiHP remained unmetabolised. Nine phase I metabolites were identified for each compound, including primary β-ketone reduction (M1) metabolites. Comparing the metabolites and retention times confirmed the efficacy of in vitro metabolic experiments for differentiating NPS isomers. Subsequently, analysis of seven real urine samples revealed the presence for various metabolites, including M1, that could be used as suitable detection markers at low concentrations. The aliphatic hydroxylation (M2) metabolite peak counts and metabolite retention times were used to determine α-PiHP use. (2) Classification models for the parent compounds and M1 metabolites were developed using principal component analysis for feature extraction and logistic regression for classification. The training and test sets were devised from the spectra of standard samples or supernatants from in vitro metabolism experiments with different incubation times. Both models had classification accuracies of 100 % and accurately identified α-PiHP and its M1 metabolite in seven real urine samples. The proposed methodology effectively distinguished between such isomers and confirmed their presence at low concentrations. Overall, this study introduces a novel concept that addresses the complexities in analysing isomeric NPSs and suggests a path towards enhancing the accuracy and reliability of NPS detection.
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Affiliation(s)
- Ya-Ling Yeh
- Department of Forensic Science, Central Police University, Taoyuan City, Taiwan (ROC); Forensic Science Center, Taoyuan Police Department, Taoyuan City, Taiwan (ROC).
| | - Che-Yen Wen
- Department of Forensic Science, Central Police University, Taoyuan City, Taiwan (ROC)
| | - Chin-Lin Hsieh
- Forensic Science Center, Criminal Investigation Bureau, National Police Agency, Taipei City, Taiwan (ROC)
| | - Yu-Hsiang Chang
- Forensic Science Center, Criminal Investigation Bureau, National Police Agency, Taipei City, Taiwan (ROC)
| | - Sheng-Meng Wang
- Department of Forensic Science, Central Police University, Taoyuan City, Taiwan (ROC).
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Pulver B, Fischmann S, Gallegos A, Christie R. EMCDDA framework and practical guidance for naming cathinones. Drug Test Anal 2024. [PMID: 38389255 DOI: 10.1002/dta.3662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 01/30/2024] [Accepted: 01/31/2024] [Indexed: 02/24/2024]
Abstract
Cathinones are often sold as "legal" alternatives to controlled stimulants such as amphetamine, MDMA and cocaine. Cathinones are the second largest group of new psychoactive substances (NPS), with close to 170 monitored by the European Monitoring Centre for Drugs and Drug Addiction (EMCDDA). Although all cathinones are related to the parent compound cathinone, one of the psychoactive principles in khat, assigning consistent, informative and user-friendly common names to these substances is challenging. Over time different naming approaches have been applied, leading to cathinones being known by several names. This work provides a framework and practical examples for the consistent naming of cathinones which is easy to understand and can be applied by the forensic community, researchers, clinical practitioners, and policy makers. The scope of the issue and rationale for earlier naming approaches are also discussed. The new naming framework has been developed based on established naming approaches and centered around the common "cathinone," and "phenone" motifs/scaffolds. The proposed framework establishes clear rules to derive the EMCDDA framework names for cathinones. Each name is, in turn, composed by a principal name containing a parent letter, derived after the "cathinone" or the "phenone" scaffold. Additional substitutions are prepended to the principal name. The framework also provides for exceptions for several cathinones and structural analogs scheduled under UN and EU legislation.
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Affiliation(s)
- Benedikt Pulver
- State Bureau of Criminal Investigation Schleswig-Holstein, Forensic Science Institute, Kiel, Germany
- Institute of Forensic Medicine, Forensic Toxicology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Svenja Fischmann
- State Bureau of Criminal Investigation Schleswig-Holstein, Forensic Science Institute, Kiel, Germany
| | - Ana Gallegos
- European Monitoring Centre for Drugs and Drug Addiction, Lisbon, Portugal
| | - Rachel Christie
- European Monitoring Centre for Drugs and Drug Addiction, Lisbon, Portugal
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Pelletier R, Le Daré B, Le Bouëdec D, Bourdais A, Ferron PJ, Morel I, Porée FH, Gicquel T. Identification, synthesis and quantification of eutylone consumption markers in a chemsex context. Arch Toxicol 2024; 98:151-158. [PMID: 37833490 DOI: 10.1007/s00204-023-03615-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 09/27/2023] [Indexed: 10/15/2023]
Abstract
Eutylone is a cathinone-derived synthetic amphetamine scheduled by the World Health Organization and European Monitoring Centre for Drugs and Drug Addiction since 2022 due to its growing consumption. We report here an eutylone intoxication involving a 38-year-old man and a 29-year-old woman in a chemsex context. A bag containing a white crystalline powder labelled as a research product was found in their vehicle. Nuclear magnetic resonance and liquid chromatography-high-resolution mass spectrometry (LC-HRMS) analyses identified the powder as eutylone and confirmed purity superior to 99%. LC-HRMS data analysis using molecular networking allowed to propose new eutylone metabolites in blood samples in a graphical manner. We described 16 phase I (e.g. hydroxylated or demethylated) and phase II metabolites (glucuroconjugates and sulfoconjugates). The same metabolites were found both in male and female blood samples. Toxicological analyses measured eutylone concentration in blood samples at 1374 ng/mL and 1536 ng/mL for the man and the woman, respectively. A keto-reduced metabolite (m/z 238.144) was synthesized to permit its quantification at 67 ng/mL and 54 ng/mL in male and female blood samples, respectively. Overall, the identification of these metabolites will increase the knowledge of potential drug consumption markers and allow to implement mass spectrometry databases to better monitor future drug abuse or consumption.
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Affiliation(s)
- Romain Pelletier
- INSERM, Univ Rennes, INRAE, Institut NUMECAN (Nutrition, Metabolisms and Cancer) UMR_A 1341, UMR_S 1317, 35000, Rennes, France.
- Rennes University Hospital, Clinical and Forensic Toxicology Laboratory, CHU Pontchaillou, 2 Rue Henri Le Guilloux, 35000, Rennes, France.
| | - Brendan Le Daré
- INSERM, Univ Rennes, INRAE, Institut NUMECAN (Nutrition, Metabolisms and Cancer) UMR_A 1341, UMR_S 1317, 35000, Rennes, France
- Rennes University Hospital, Pharmacy Departement, CHU Rennes, 35000, Rennes, France
| | - Diane Le Bouëdec
- Rennes University Hospital, Clinical and Forensic Toxicology Laboratory, CHU Pontchaillou, 2 Rue Henri Le Guilloux, 35000, Rennes, France
| | - Alexis Bourdais
- INSERM, Univ Rennes, INRAE, Institut NUMECAN (Nutrition, Metabolisms and Cancer) UMR_A 1341, UMR_S 1317, 35000, Rennes, France
| | - Pierre-Jean Ferron
- INSERM, Univ Rennes, INRAE, Institut NUMECAN (Nutrition, Metabolisms and Cancer) UMR_A 1341, UMR_S 1317, 35000, Rennes, France
| | - Isabelle Morel
- INSERM, Univ Rennes, INRAE, Institut NUMECAN (Nutrition, Metabolisms and Cancer) UMR_A 1341, UMR_S 1317, 35000, Rennes, France
- Rennes University Hospital, Clinical and Forensic Toxicology Laboratory, CHU Pontchaillou, 2 Rue Henri Le Guilloux, 35000, Rennes, France
| | - François-Hugues Porée
- ISCR UMR CNRS 6226, Faculty of Pharmacy, Rennes University, 2 Avenue du Pr Léon Bernard, 35000, Rennes, France
| | - Thomas Gicquel
- INSERM, Univ Rennes, INRAE, Institut NUMECAN (Nutrition, Metabolisms and Cancer) UMR_A 1341, UMR_S 1317, 35000, Rennes, France
- Rennes University Hospital, Clinical and Forensic Toxicology Laboratory, CHU Pontchaillou, 2 Rue Henri Le Guilloux, 35000, Rennes, France
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Jie Z, Qin S, Zhang W, Wang J, Lu J, Qin G, Hou X, Xu P. Metabolic Profile Analysis of Designer Benzodiazepine Etizolam in Zebrafish and Human Liver Microsomes. Metabolites 2023; 13:699. [PMID: 37367857 DOI: 10.3390/metabo13060699] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 05/20/2023] [Accepted: 05/26/2023] [Indexed: 06/28/2023] Open
Abstract
As one of the most widely abused designer benzodiazepines worldwide, Etizolam is characterized by its high addiction potential, low production cost, and difficulty in detection. Due to the rapid metabolism of Etizolam in the human body, the probability of detecting the Etizolam parent drug in actual case samples by forensic personnel is low. Therefore, without detecting the parent drug, analysis of Etizolam metabolites can help forensic personnel provide references and suggestions on whether the suspect has taken Etizolam. This study simulates the objective metabolic process of the human body. It establishes a zebrafish in vivo metabolism model and a human liver microsome in vitro metabolism model to analyze the metabolic characteristics of Etizolam. A total of 28 metabolites were detected in the experiment, including 13 produced in zebrafish, 28 produced in zebrafish urine and feces, and 17 produced in human liver microsomes. The UPLC-Q-Exactive-MS technology was used to analyze the structures and related metabolic pathways of Etizolam metabolites in zebrafish and human liver microsomes, and a total of 9 metabolic pathways were identified, including monohydroxylation, dihydroxylation, hydration, desaturation, methylation, oxidative deamination to alcohol, oxidation, reduction acetylation, and glucuronidation. Among them, metabolites involving hydroxylation reactions (including monohydroxylation and dihydroxylation) accounted for 57.1% of the total number of potential metabolites, indicating that hydroxylation may be the major metabolic pathway of Etizolam. Based on the response values of each metabolite, monohydroxylation (M1), desaturation (M19), and hydration (M16) were recommended as potential biomarkers for Etizolam metabolism. The experimental results provide reference and guidance for forensic personnel in identifying Etizolam use in suspects.
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Affiliation(s)
- Zhaowei Jie
- School of Investigation, People's Public Security University of China, Beijing 100038, China
| | - Shiyang Qin
- Forensic Science Service of Beijing Public Security Bureau, Key Laboratory of Forensic Toxicology, Ministry of Public Security, Beijing 100192, China
| | - Wenfang Zhang
- Forensic Science Service of Beijing Public Security Bureau, Key Laboratory of Forensic Toxicology, Ministry of Public Security, Beijing 100192, China
| | - Jifen Wang
- School of Investigation, People's Public Security University of China, Beijing 100038, China
| | - Jianghai Lu
- Drug and Food Anti-Doping Laboratory, China Anti-Doping Agency, 1st Anding Road, Beijing 100029, China
| | - Ge Qin
- School of Investigation, People's Public Security University of China, Beijing 100038, China
| | - Xiaolong Hou
- School of Investigation, People's Public Security University of China, Beijing 100038, China
| | - Peng Xu
- Key Laboratory of Drug Monitoring, Control and Anti Drug Key Technologies, Ministry of Public Security, Anti Drug Information Technology Center of the Ministry of Public Security, Beijing 100193, China
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