Current tandem mass spectral libraries for lipid annotations in metabolomics are limited in size and diversity. We provide a freely available computer generated in-silico tandem mass spectral library of 212,516 MS/MS spectra covering 119,200 compounds from 26 lipid compound classes, including phospholipids, glycerolipids, bacterial lipoglycans and plant glycolipids. Platform independence is shown by using tandem mass spectra from 40 different mass spectrometer types including low-resolution and high-resolution instruments.

The early detection of potential drug-drug interactions is an important issue of drug discovery that has led to the development of high-throughput screening (HTS) methods for potential drug interactions. We developed a HTS method for potential interactions of inhibitory drugs for nine human P450 enzymes using cocktail incubation and tandem mass spectrometry in vitro. This new method involves incubation of two cocktail doses and single cassette analysis. The two cocktail doses in vitro were developed to minimize solvent effects and mutual drug interactions among substrates: cocktail A was composed of phenacetin for CYP1A2, coumarin for CYP2A6, paclitaxel for CYP2C8, S-mephenytoin for CYP2C19, dextromethorphan for CYP2D6, and midazolam for CYP3A4; and cocktail B was composed of three substrates including bupropion for CYP2B6, tolbutamide for CYP2C9, and chlorzoxazone for CYP2E1. In the incubation study of these cocktails, the reaction mixtures were pooled and simultaneously analyzed using liquid chromatography/tandem mass spectrometry employing a fast gradient. The method was validated by comparing the inhibition data obtained from the incubation of each individual probe substrate alone with data from the new method. The IC50 value of each inhibitor in the cocktail agreed well with that of the individual probe drug as well as with values previously reported in the literature. As a HTS method for potential interactions of the inhibition of these nine P450 enzymes, this new method will be useful in the drug discovery process and for the mechanistic understanding of drug interactions.

Adjunctive aripiprazole treatment reversed hyperprolactinemia in both sexes, resulting in reinstatement of menstruation in female patients, with no significant effects on psychopathology and extrapyramidal symptoms. Aripiprazole has higher affinity to dopamine D(2) receptors than haloperidol, which is the likely cause of this observation.

Metabolomics is based on the unbiased and global analysis of metabolites of organisms at specific time points. Therefore, the nonselective and reproducible recovery of all existing metabolites while preventing their transformation is the ideal criterion for metabolome sample preparation. We evaluated currently used sampling methods and extraction solvents for global metabolic profiling of a gram-negative bacterium, Saccharophagus degradans, using gas chromatography-time-of-flight mass spectrometry (GC-TOF MS) with an emphasis on three steps: the sampling method, which consisted of cold methanol quenching or fast filtration; the subsequent washing step; and the extraction solvents. After cold methanol quenching with 70% (v/v) methanol at -70 degrees C, washing with 2.3% NaCl produced a serious loss of intracellular metabolites. In addition, when cold methanol quenching and fast filtration were compared, severe cell leakage caused by cold methanol quenching resulted in a significant loss of intracellular metabolites, which was confirmed by spectrometric analysis at 260 and 280 nm. Upon evaluation of extraction solvents such as pure methanol (MeOH), acetonitrile/water (50ACN; 1:1, v/v), acetonitrile/methanol/water mixture (AMW; 2:2:1), and water/isopropanol/methanol (WiPM; 2:2:5). AMW and WiPM were found to be superior extraction solvents for S. degradans based on the total peak intensities of the metabolites, the total number of metabolite peaks, and the reproducibility of recovered metabolite quantities; however, the metabolite profiles differed significantly between AMW and WiPM. This is the first evaluation of each step of sample preparation involved in global scale metabolic analysis by GC-TOF MS, which can be used as a model in the preparation of organism-specific samples for metabolome analysis.