isoforms hCES1b and/or hCES1c. Finally, metabolites were compared to those present in human biosamples if data were available. Overall, the metabolic patterns in HepaRG cells provided the worst overlap with that in human biosamples. Zebrafish larvae experiments agreed best with data found in human plasma and urine analysis. The current study underlines the potential of zebrafish larvae as a tool for elucidating the toxicokinetics of NPS in the future.

Synthetic cannabinoids (SCs) remain one of the largest groups of new psychoactive substances (NPS) on the European drug market. Although the number of new derivatives occurring on the market has dropped in the last two years, newly emerging NPS still represent a challenge for laboratories performing forensic drug analysis in biological matrices. The newly emerged SC 4F‐MDMB‐BINACA has been reported by several law enforcement agencies in Europe and the USA since November 2018. This work aimed at revealing urinary markers to prove uptake of 4F‐MDMB‐BINACA and differentiate from the use of structurally similar SCs. Phase‐I metabolites detected in human urine specimens were confirmed by phase‐I metabolites generated in vitro using a pooled human liver microsomes (pHLM) assay. Seized materials and test‐purchased “legal high” products were analyzed by gas chromatography–mass spectrometry (GC–MS) and liquid chromatography−quadrupole‐time‐of‐flight−mass spectrometry (LC−qToF−MS). Human urine specimens and pHLM assay extracts were measured with liquid chromatography−electrospray ionization−tandem mass spectrometry (LC−ESI−MS/MS) and confirmed by LC−qToF−MS. In January 2019, the Institute of Legal Medicine in Erlangen (Germany) identified 4F‐MDMB‐BINACA in three herbal blends. During the same time period, the described SC was identified in a research chemical purchased online. Investigation of phase‐I metabolism led to the metabolites M10 (ester hydrolysis) and M11 (ester hydrolysis and dehydrogenation) as reliable urinary markers. Widespread distribution on the German drug market was proven by analysis of urine samples from abstinence control programs and by frequent detection of 4F‐MDMB‐BINACA in “herbal blends” and “‘research chemicals” purchased via the Internet.

The two fentanyl homologs cyclopropanoyl-1-benzyl-4´-fluoro-4-anilinopiperidine (4F-Cy-BAP) and furanoyl-1-benzyl-4-anilinopiperidine (Fu-BAP) have recently been seized as new psychoactive substances (NPS) on the drugs of abuse market. As their toxicokinetic and toxicodynamic characteristics are completely unknown, this study focused on elucidating their in vitro metabolic stability in pooled human liver S9 fraction (pHLS9), their qualitative in vitro (pHLS9), and in vivo (zebrafish larvae) metabolism, and their in vitro isozyme mapping using recombinant expressed isoenzymes. Their maximum-tolerated concentration (MTC) in zebrafish larvae was studied from 0.01 to 100 µM. Their µ-opioid receptor (MOR) activity was analyzed in engineered human embryonic kidney (HEK) 293 T cells. In total, seven phase I and one phase II metabolites of 4F-Cy-BAP and 15 phase I and four phase II metabolites of Fu-BAP were tentatively identified by means of liquid chromatography high-resolution tandem mass spectrometry, with the majority detected in zebrafish larvae. N-Dealkylation, N-deacylation, hydroxylation, and N-oxidation were the most abundant metabolic reactions and the corresponding metabolites are expected to be promising analytical targets for toxicological analysis. Isozyme mapping revealed the main involvement of CYP3A4 in the phase I metabolism of 4F-Cy-BAP and in terms of Fu-BAP additionally CYP2D6. Therefore, drug-drug interactions by CYP3A4 inhibition may cause elevated drug levels and unwanted adverse effects. MTC experiments revealed malformations and changes in the behavior of larvae after exposure to 100 µM Fu-BAP. Both substances were only able to produce a weak activation of MOR and although toxic effects based on MOR activation seem unlikely, activity at other receptors cannot be excluded. Keywords In vitro and in vivo metabolism • Metabolic stability • LC-HRMS/MS • Zebrafish larvae • In vitro µ-opioid receptor activity Electronic supplementary material The online version of this article (

In June 2018, a 'research chemica'l labeled 'AB‐FUB7AICA' was purchased online and analytically identified as 5F‐AB‐P7AICA, the 7‐azaindole analog of 5F‐AB‐PINACA. Here we present data on structural characterization, suitable urinary consumption markers, and preliminary pharmacokinetic data. Structure characterization was performed by nuclear magnetic resonance spectroscopy, gas chromatography–mass spectrometry, infrared and Raman spectroscopy. Phase I metabolites were generated by applying a pooled human liver microsome assay (pHLM) to confirm the analysis results of authentic urine samples collected after oral self‐administration of 2.5 mg 5F‐AB‐P7AICA. Analyses of pHLM and urine samples were performed by liquid chromatography−time‐of‐flight mass spectrometry and liquid chromatography–tandem mass spectrometry (LC–MS/MS). An LC–MS/MS method for the quantification of 5F‐AB‐P7AICA in serum was validated. Ten phase I metabolites were detected in human urine samples and confirmed in vitro. The main metabolites were formed by hydroxylation, amide hydrolysis, and hydrolytic defluorination, though – in contrast with most other synthetic cannabinoids – the parent compound showed the highest signals in most urine samples. The compound detection window was more than 45 hours in serum. The concentration‐time profile was best explained by a two‐phase pharmacokinetic model. 5F‐AB‐P7AICA was detected in urine samples until 65 hours post ingestion. Monitoring of metabolite M07, hydroxylated at the alkyl chain, next to parent 5F‐AB‐P7AICA, is recommended to confirm the uptake of 5F‐AB‐P7AICA in urinalysis. It seems plausible that the shift of the nitrogen atom from position 2 to 7 (e.g. 5F‐AB‐PINACA to 5F‐AB‐P7AICA) leads to a lower metabolic reactivity, which might be of general interest in medicinal chemistry.

The evaluation of liquid chromatography high-resolution mass spectrometry (LC-HRMS) raw data is a crucial step in untargeted metabolomics studies to minimize false positive findings. A variety of commercial or open source software solutions are available for such data processing. This study aims to compare three different data processing workflows (Compound Discoverer 3.1, XCMS Online combined with MetaboAnalyst 4.0, and a manually programmed tool using R) to investigate LC-HRMS data of an untargeted metabolomics study. Simple but highly standardized datasets for evaluation were prepared by incubating pHLM (pooled human liver microsomes) with the synthetic cannabinoid A-CHMINACA. LC-HRMS analysis was performed using normal- and reversed-phase chromatography followed by full scan MS in positive and negative mode. MS/MS spectra of significant features were subsequently recorded in a separate run. The outcome of each workflow was evaluated by its number of significant features, peak shape quality, and the results of the multivariate statistics. Compound Discoverer as an all-in-one solution is characterized by its ease of use and seems, therefore, suitable for simple and small metabolomic studies. The two open source solutions allowed extensive customization but particularly, in the case of R, made advanced programming skills necessary. Nevertheless, both provided high flexibility and may be suitable for more complex studies and questions.