Studies on the metabolism of five model drugs by fungi colonizing cadavers using LC-ESI-MS/MS and GC-MS analysis.

Martínez-Ramírez JA, Voigt K, Peters FT (2012) Studies on the metabolism of five model drugs by fungi colonizing cadavers using LC-ESI-MS/MS and GC-MS analysis. Anal Bioanal Chem 404(5), 1339-1359.

Abstract

It is well-known that cadavers may be colonized by microorganisms, but there is limited information if or to what extent these microbes are capable of metabolizing drugs or poisons, changing the concentrations and metabolic pattern of such compounds in postmortem samples. The aim of the present study was to develop a fungal biotransformation system as an in vitro model to investigate potential postmortem metabolism by fungi. Five model drugs (amitriptyline, metoprolol, mirtazapine, promethazine, and zolpidem) were each incubated with five model fungi known to colonize cadavers (Absidia repens, Aspergillus repens, Aspergillus terreus, Gliocladium viride, and Mortierella polycephala) and with Cunninghamella elegans (positive control). Incubations were performed in Sabouraud medium at 25 °C for 5 days. After centrifugation, a part of the supernatants was analyzed by liquid chromatography-tandem mass spectrometry with product ion scanning. Another part was analyzed by full scan gas chromatography-mass spectrometry after extraction and derivatization. All model drugs were metabolized by the control fungus resulting in two (metoprolol) to ten (amitriptyline) metabolites. Of the model fungi, only Abs. repens and M. polycephala metabolized the model drugs: amitriptyline was metabolized to six and five, metoprolol to two and two, mirtazapine to five and three, promethazine to six and nine, and zolpidem to three and four metabolites, respectively. The main metabolic reactions were demethylation, oxidation, and hydroxylation. The presented in vitro model is applicable to studying drug metabolism by fungi colonizing cadavers.

Leibniz-HKI-Autor*innen

Kerstin Voigt

Identifier

doi: 10.1007/s00216-012-6212-3

PMID: 22825674