A combined toxicokinetic and metabolic approach to investigate deschloro-N-ethylketamine exposure in a multidrug user.

J Pharm Biomed Anal

Laboratoire de Toxicologie Biologique, Fédération de Toxicologie, Hôpital Lariboisière, AP-HP, Paris 75010, France; INSERM UMRS-1144, Université Paris Cité, Paris 75006, France. Electronic address:

Published: June 2024

The use of new psychoactive substances derived from ketamine is rarely reported in France. A chronic GHB, 3-MMC, and methoxetamine consumer presented a loss of consciousness in a chemsex context and was referred to the intensive care unit with a rapid and favorable outcome. To investigate the chemicals responsible for the intoxication, a comprehensive analysis was conducted on the ten plasma samples collected over a 29.5-hour period, urine obtained upon admission, a 2-cm hair strand sample, and a seized crystal. These analyses were performed using liquid chromatography hyphenated to high resolution tandem mass spectrometry operating in targeted and untargeted modes. Additionally, analyses using gas chromatography coupled to mass spectrometry and nuclear magnetic resonance were conducted to probe the composition of the seized crystal. The molecular network-based approach was employed for data processing in non-targeted analyses. It allowed to confirm a multidrug exposure encompassing GHB, methyl-(aminopropyl)benzofuran (MAPB), (aminopropyl)benzofuran (APB), methylmethcathinone, chloromethcathinone, and a new psychoactive substance belonging to the arylcyclohexylamine family namely deschloro-N-ethyl-ketamine (O-PCE). Molecular network analysis facilitated the annotation of 27 O-PCE metabolites, including phase II compounds not previously reported. Plasma kinetics of O-PCE allowed the estimation of the elimination half-life of ∼5 hours. Kinetics of O-PCE metabolites was additionally characterized, possibly useful as surrogate biomarkers of consumption. We also observed marked alterations in lipid metabolism related to poly consumption of drugs. In conclusion, this case report provides a comprehensive analysis of exposure to O-PCE in a multidrug user including kinetic and metabolism data in human.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jpba.2024.116086DOI Listing

Publication Analysis

Top Keywords

multidrug user
8
comprehensive analysis
8
seized crystal
8
mass spectrometry
8
kinetics o-pce
8
combined toxicokinetic
4
toxicokinetic metabolic
4
metabolic approach
4
approach investigate
4
investigate deschloro-n-ethylketamine
4

Similar Publications

AVR/I/SSAPDB: a comprehensive & specialised knowledgebase of antimicrobial peptides to combat VRSA, VISA, and VSSA.

World J Microbiol Biotechnol

October 2024

Biochemistry and Bioinformatics Laboratory, Department of Applied Sciences, Indian Institute of Information Technology, Allahabad, (IIIT-A), Devghat, Jhalwa, Prayagraj, Uttar Pradesh, 211012, India.

The rise of multi-drug resistant (MDR) bacteria, especially strains of Staphylococcus aureus like Vancomycin-resistant S. aureus (VRSA), Vancomycin-intermediate S. aureus (VISA), and Vancomycin-susceptible S.

View Article and Find Full Text PDF

PhageGE: an interactive web platform for exploratory analysis and visualization of bacteriophage genomes.

Gigascience

January 2024

Infection Program and Department of Microbiology, Biomedicine Discovery Institute, Monash University, Clayton 3800, Australia.

Background: Antimicrobial resistance is a serious threat to global health. Due to the stagnant antibiotic discovery pipeline, bacteriophages (phages) have been proposed as an alternative therapy for the treatment of infections caused by multidrug-resistant pathogens. Genomic features play an important role in phage pharmacology.

View Article and Find Full Text PDF
Article Synopsis
  • Rifampicin resistant tuberculosis is a major global health issue, with significant limitations in current treatment practices due to inadequate drug susceptibility testing (DST) information.
  • The study developed a clinical decision support system (CDSS) that utilizes machine learning to recommend optimal individualized treatment regimens based on extensive data from expert feedback.
  • Although the CDSS was found to be user-friendly and beneficial in clinical settings, its effectiveness is hindered by challenges such as adherence to national treatment guidelines and the need for better digital infrastructure and training for healthcare providers.
View Article and Find Full Text PDF

is an emerging pathogen that poses a significant challenge due to its multidrug-resistant nature. There are two types of antifungal agents, fungicidal and fungistatic, with distinct mechanisms of action against fungal pathogens. Fungicidal agents kill fungal pathogens, whereas fungistatic agents inhibit their growth.

View Article and Find Full Text PDF
Article Synopsis
  • - Kinetic diagrams help visualize biochemical systems for studying energy transfer and ion selectivity, but manual calculations for complex systems become impractical due to the exponential growth of intermediate diagrams needed.
  • - A new Python library called KDA automates the generation of these diagrams and outputs precise algebraic expressions for key system properties, making complex analysis easier and more efficient.
  • - The KDA library was tested on models relevant to biophysics, showing its utility in quantifying transport efficiency in examples like antiporters and the small multidrug resistance transporter EmrE, and it is available as open source software.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!