clozapine and 4-ethylphenol

Multiple ion monitoring (MIM)-dependent acquisition with a triple quadrupole-linear ion trap mass spectrometer (Q-trap) was previously developed for drug metabolite profiling. In the analysis, multiple predicted metabolite ions are monitored in both Q1 and Q3 regardless of their fragmentations. The collision energy in Q2 is set to a low value to minimize fragmentation. Once an expected metabolite is detected by MIM, enhanced product ion (EPI) spectral acquisition of the metabolite is triggered. To analyze in vitro metabolites, MIM-EPI retains the sensitivity and selectivity similar to that of multiple reaction monitoring (MRM)-EPI in the analysis of in vitro metabolites. Here we present an improved approach utilizing MIM-EPI for data acquisition and multiple data mining techniques for detection of metabolite ions and recovery of their MS/MS spectra. The postacquisition data processing tools included extracted ion chromatographic analysis, product ion filtering and neutral loss filtering. The effectiveness of this approach was evaluated by analyzing oxidative metabolites of indinavir and glutathione (GSH) conjugates of clozapine and 4-ethylphenol in liver microsome incubations. Results showed that the MIM-EPI-based data mining approach allowed for comprehensive detection of metabolites based on predicted protonated molecules, product ions or neutral losses without predetermination of the parent drug MS/MS spectra. Additionally, it enabled metabolite detection and MS/MS acquisition in a single injection. This approach is potentially useful in high-throughout screening of metabolic soft spots and reactive metabolites at the drug discovery stage.

Topics: Animals; Clozapine; Haplorhini; Indinavir; Microsomes, Liver; Phenols; Spectrometry, Mass, Electrospray Ionization

The present study was designed to apply the mass defect filter (MDF) approach to the screening and identification of reactive metabolites using high-resolution mass spectrometry. Glutathione (GSH)-trapped reactive metabolites of acetaminophen, diclofenac, carbamazepine, clozapine, p-cresol, 4-ethylphenol, and 3-methylindole in human liver microsomes (HLM) were analyzed by HPLC coupled with Orbitrap or Fourier transform ion cyclotron resonance mass spectrometry. Through the selective removal of all ions that fall outside of the GSH adduct MDF template windows, the processed full scan MS chromatograms displayed GSH adducts as major components with no or a few interference peaks. The accurate mass LC-MS data sets were also utilized for the elimination of false positive peaks, detection of stable oxidative metabolites with other MDF templates, and determination of metabolite molecular formulas. Compared to the neutral loss scan by a triple quadrupole instrument, the MDF approach was more sensitive and selective in screening for GSH-trapped reactive metabolites in HLM and rat bile and far more effective in detecting GSH adducts that do not afford the neutral loss of 129 Da as a significant fragmentation pathway. The GSH adduct screening capability of the MDF approach, together with the utility of accurate mass MS/MS information in structural elucidation, makes high-resolution LC-MS a useful tool for analyzing reactive metabolites.

Topics: Acetaminophen; Animals; Bile; Carbamazepine; Chromatography, Liquid; Clozapine; Cresols; Diclofenac; Glutathione; Humans; Microsomes, Liver; Molecular Structure; Oxidation-Reduction; Phenols; Rats; Reproducibility of Results; Sensitivity and Specificity; Skatole; Spectrometry, Mass, Electrospray Ionization; Spectroscopy, Fourier Transform Infrared; Time Factors