A fluorescent probe (N-(4-methyl-2-oxo-2H-chromen-7-yl)-2,4-dinitrobenzenesulfonamide), which exhibits high selectivity to glutathione and cysteine among amino acids including sulphur-containing methionine and metal ions, was synthesized. The experiments demonstrate that the fluorescent probe is a reliable and specific probe for glutathione and cysteine in living cells.

Polymorphisms in the cytochrome P450 2D6 (CYP2D6) gene are a major cause of pharmacokinetic variability in human. Although the poor metabolizer phenotype is known to be caused by two null alleles leading to absence of functional CYP2D6 protein, the large variability among individuals with functional alleles remains mostly unexplained. Thus, the goal of this study was to examine the intrinsic enzymatic differences that exist among the several active CYP2D6 allelic variants. The relative catalytic activities (enzyme kinetics) of three functionally active human CYP2D6 allelic variants, CYP2D6.1, CYP2D6.10, and CYP2D6.17, were systematically investigated for their ability to metabolize a structurally diverse set of clinically important CYP2D6-metabolized drugs [atomoxetine, bufuralol, codeine, debrisoquine, dextromethorphan, (S)-fluoxetine, nortriptyline, and tramadol] and the effects of various CYP2D6-inhibitors [cocaine, (S)-fluoxetine, (S)-norfluoxetine, imipramine, quinidine, and thioridazine] on these three variants. The most significant difference observed was a consistent but substrate-dependent decease in the catalytic efficiencies of cDNA-expressed CYP2D6.10 and CYP2D6.17 compared with CYP2D6.1, yielding 1.32 to 27.9 and 7.33 to 80.4% of the efficiency of CYP2D6.1, respectively. The most important finding from this study is that there are mixed effects on the functionally reduced allelic variants in enzyme-substrate affinity or enzyme-inhibitor affinity, which is lower, higher, or comparable to that for CYP2D6.1. Considering the rather high frequencies of CYP2D6*10 and CYP2D6*17 alleles for Asians and African Americans, respectively, these data provide further insight into ethnic differences in CYP2D6-mediated drug metabolism. However, as with all in vitro to in vivo extrapolations, caution should be applied to the clinical consequences.

Recent advances in analytical methodologies have made it possible to bring metabolomic profiling into quantitative metabolomics that permits precise measurements of comprehensive small-molecule profiles. Modern liquid chromatography-tandem mass spectrometry (LC-MS/MS) with multiple reaction monitoring (MRM) mode serves as the foundation for accurate simultaneous multi-analyte quantitation across large sample sets to provide high-quality information on target molecular profiles in complex systems. Despite the intrinsic multiplexing potential of the LC-MRM-MS technique, the key bottleneck in current LC-MRM-based assays is generally the limited analyte coverage and throughput capacity. Nowadays, the MRM-based approach has emerged as an attractive strategy for quantitative proteomic analysis and high-throughput biomarker discovery. So far, the full potential of the contemporary LCMRM methodology unleashed for quantitative metabolite profiling and metabolomic measurements of non-peptidic small molecules is rarely discussed. In this review we attempt to provide an overview on the major recent developments in LC-MRM-based strategies for quantitative profiling of multi- and non-target small molecules in biological samples. This article highlights the utility and power of the LC-MRM-based targeted approaches as valuable bioanalytical tools for low-cost, multiplexed quantitation on a large scale, with special emphasis on the promise of combining various strategies for expanding coverage and throughput of the LC-MRM-based assays to cover the gap between a widely targeted profiling and large-scale unknown screening towards comparative or quantitative metabolomics. General issues raised in metabolite profiling, such as basic aspects of bioanalysis, methodological dilemmas and challenges in quantitative metabolomics are addressed, and different strategies to circumvent the existing bottleneck and potential pitfalls of the current LC-MRM-MS techniques are outlined. In addition, the rudiments of LC-MRM-MS and its recent applications in combination with such strategies for biomarker quantitation and verification is also described.