The use of saliva for the detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sparks debate due to presumed lower sensitivity and lack of standardization. Our aim was to evaluate the performance characteristics of (i) saliva collected by the ORAcollectTM device as a matrix for SARS-CoV-2 reverse-transcriptase polymerase chain reaction (RT-PCR), and (ii) 2 saliva rapid antigen tests (AgRDT). From 342 ambulatory individuals, both a nasopharyngeal swab and saliva sample via ORAcollectTM were obtained for a SARS-CoV-2 RT-PCR test. Furthermore, 54 and 123 additionally performed the V-ChekTM or WhistlingTM saliva AgRDT. In total, 35% of individuals screened positive for SARS-CoV-2 via nasopharyngeal swab. Saliva, as a matrix for the RT-PCR, had a specificity of 96.5% and a negative predictive value (NPV) of 91.3%. Interestingly, 6 out of 8 patients thought to be false positive in saliva re-tested positive by nasopharyngeal sampling after 2 to 9 days. Both V-ChekTM and WhistlingTM AgRDT had a lack of sensitivity, resulting in an NPV of 66.9 and 67.3%, respectively. Saliva proved to be a sensitive and specific matrix for SARS-CoV-2 detection by the RT-PCR. In this setting, saliva might have an earlier window of detection than the nasopharyngeal swab. By contrast, both AgRDT showed an unacceptably low sensitivity and NPV.

The use of synthetic cannabinoids causes similar effects as Δ 9 -tetrahydrocannabinol and long-term (ab)use can lead to health hazards and fatal intoxications. As most investigated synthetic cannabinoids undergo extensive biotransformation, almost no parent compound can be detected in urine, which hampers forensic investigations.Limited information about the biotransformation products of new synthetic cannabinoids makes the detection of these drugs in various biological matrices challenging.This study aimed to identify the main in vitro biotransformation pathways of 5Cl-THJ-018 and to compare these findings with an authentic urine sample of a 5Cl-THJ-018 user. The synthetic cannabinoid was incubated with pooled human liver microsomes and cytosol to simulate phase I and phase II biotransformations. Resulting extracts were analyzed with liquid chromatography coupled to quadrupole time-offlight mass spectrometry (LC-QTOF-MS). Three different data analysis workflows were applied to identify biotransformation products. A suspect screening workflow used an in-house database built from literature data and in silico biotransformation predictions. Two non-target screening workflows used a commercially available software and an open-source software for mass spectrometry data processing. A total of 23 in vitro biotransformation products were identified, with hydroxylation, oxidative dechlorination, and dihydrodiol formation pathways as the main phase I reactions.Additionally, five glucuronidated and three sulfated phase II conjugates were identified. The predominant in vivo pathway was through oxidative dechlorination and in total six metabolites of 5Cl-THJ-018 were identified. Biotransformation products both in vitro and in vivo were successfully identified using complementary suspect and non-target screening workflows. KEYWORDS cytosolic fractions, human liver microsomes, In vitro biotransformation, liquid chromatographymass spectrometry, new psychoactive substances Philippe Vervliet and Olivier Mortelé joint first authors.

Optimization of an in vitro gut microbiome biotransformation platform w ith chlorogenic acid as model compound : from fecal sample to biotransformation product identification Journal of pharmaceutical and biomedical analysis -

Designer benzodiazepines have recently emerged as a class of new psychoactive substances. These substances are used in recreational settings and as alternatives to prescription benzodiazepines as self-medication for patients suffering from anxiety or other mental disorders. Due to the limited information available on the metabolic fate of these new substances, it is challenging to reliably detect their usage in bioanalytical (e.g. clinical and forensic) settings. The objective of this study was to investigate the in vitro Phase I and Phase II metabolism of the new designer benzodiazepine cloniprazepam and identify potential biomarkers for its detection in human biological fluids. Cloniprazepam was incubated with human liver microsomes and cytosolic fractions to generate both Phase I and II metabolites. The extracts were analysed using liquid chromatography coupled to quadrupole time-of-flight mass spectrometry. Identification of the metabolites was performed using two complementary workflows, including a suspect screening based on in silico predictions and a non-targeted screening. A total of nine metabolites were identified, eight Phase I metabolites and one Phase II metabolite, of which five were specific for cloniprazepam. Clonazepam was the major metabolite of cloniprazepam. Hydroxy-cloniprazepam, dihydroxy-cloniprazepam, 3-keto-cloniprazepam, 7-amino-cloniprazepam, hydroxy-clonazepam, 7-amino-clonazepam and 3-hydroxy-7-amino-clonazepam were formed through oxidation, hydroxylation, and/or reduction of the nitro-group. Glucuronidated hydroxy-cloniprazepam was the only Phase II metabolite detected. Five metabolites were specific for cloniprazepam. This study provided a set of human in vitro biotransformation products which can assist specific detection of cloniprazepam consumption in future studies.

The addition of stabilizers during liquid–liquid extraction improves the precision of untargeted LC-MS metabolomics workflows.