Life-Threatening Cardiogenic Shock Related to Venlafaxine Poisoning-A Case Report with Metabolomic Approach.
Romain MagnyBruno MégarbanePauline GuillaudLucie ChevillardNicolas AuzeilPauline ThiebotSebastian VoicuIsabelle MalissinNicolas DeyeLaurence LabatPascal HouzéPublished in: Metabolites (2023)
Metabolomics in clinical toxicology aim at reliably identifying and semi-quantifying a broad array of endogenous and exogenous metabolites using dedicated analytical methods. Here, we developed a three-step-based workflow to investigate the metabolic impact of the antidepressant drug venlafaxine in a poisoned patient who developed life-threatening cardiac failure managed with extracorporeal membrane oxygenation. Both targeted quantitative and untargeted semi-quantitative metabolomic analyses using liquid chromatography hyphenated to high-resolution tandem mass spectrometry were performed to determine the plasma kinetics of venlafaxine, O -desmethyl-venlafaxine, and N -desmethyl-venlafaxine and to identify sixteen different venlafaxine-derived metabolites including one unknown ( i.e. , venlafaxine conjugated to a hexosyl-radical), respectively. Correlations between the quantitative metabolomic data and annotated endogenous metabolites suggested impaired amino acid and lipid metabolism, Krebs cycle, and kynurenine pathway. This preliminary study represents a first step towards a more extensive application of toxicometabolomics in clinical toxicology and a useful workflow to identify the biomarkers of toxicity.
Keyphrases
- liquid chromatography
- high resolution
- tandem mass spectrometry
- mass spectrometry
- high resolution mass spectrometry
- ultra high performance liquid chromatography
- extracorporeal membrane oxygenation
- ms ms
- high performance liquid chromatography
- simultaneous determination
- gas chromatography
- acute respiratory distress syndrome
- amino acid
- left ventricular
- heart failure
- high throughput
- emergency department
- oxidative stress
- major depressive disorder
- photodynamic therapy
- machine learning
- mechanical ventilation
- artificial intelligence
- cancer therapy
- big data
- high speed
- case report
- single cell
- atrial fibrillation