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In this thesis eight robust and reliable LC-MS/MS methods were developed and validated to analyze atorvastatin, clopidogrel, furosemide, itraconazole, loratadine, naproxen, nisoldipine and sunitinib in human plasma. The active metabolites 2-hydroxyatorvastatin, 4-hydroxyatorvastatin, hydroxyitraconazole, descarboethoxy-loratadine, 4-hydroxynisoldipine and N-desethylsunitinib were also included in the corresponding methods. Due to the different physical, chemical and pharmacokinetic properties of the analytes a wide spectrum regarding sample preparation techniques, chromatography and mass spectrometric detection was covered. Protein precipitation methods were developed for furosemide, itraconazole, naproxen, nisoldipine and sunitinib. Liquid-liquid extraction methods were developed for atorvastatin, clopidogrel and loratadine. Criteria to choose protein precipitation or liquid-liquid extraction were the final plasma concentrations of the drugs, which are mainly dependant on the dose, bioavailability and t1/2 and of course cost-effectiveness. Altogether, the methods have a concentration range from 0.001 ng/mL (LLOQ of clopidogrel) to 50000 ng/mL (highest calibration point for naproxen), covering 5 x 107 orders of magnitude. The runtime of the methods ranged from 2 to 4 minutes, facilitating a high sample throughput. All developed methods were validated according to recent guidelines as they were used to analyze sampes from clinical trials. Excellent linearity, intra-day and inter-day precision and accuracy were observed in the validated calibration ranges. Hemolyzed, lipemic and different batches of human plasma as well as sample dilution did not affect the determiantion of the analytes. Clopidogrel, loratadine, nisoldipine and sunitinib and if available their metabolites were subjected to a matrix effect test, resulting in no influence of different batches of human plasma on the analytical methods. Noteworthy is clopidogrel that shows a slight effect on one of the two used mass spectrometers. However, that effect was reproducible and did therefore not affect clopidogrel determination. No evidence of instability during chromatography, extraction and sample storage processes for all analytes except 4-hydroxyatorvastatin was found, for which a significant decrease was observed after three months. During incurred sample reanalysis of study samples 95 % of the samples were within ±15 % with respect to the first analysis. Moreover, the atorvastatin, loratadine and clopidogrel method were compared on two generations of triple quadrupole mass spectrometers, the API 3000™ and the API 5000™. The new ion source and the changes in the ion path of the API 5000™ provided higher sensitivity, the extend depending on the substance. However, the API 3000™ had very good precision in the performed system comparison. The validated methods showed excellent performance and quality data during routine sample analysis of eight clinical trials. Moreover, they are suitable for high sample throughput due to their short run times.
This study should contribute to the important field of pharmacogenetics by: firstly, establishing an easy and safe phenotyping method that combines the activity determination of all three previously mentioned CYPs (CYP2D6, CYP2C9, and CYP2C19) into one phenotyping cocktail and secondly, improving the knowledge about the predictive power of the genotype for the measured phenotype. It was indeed possible to develop a save, easy-to-use, fast and simultaneous phenotyping procedure for the important genetic polymorphic enzymes CYP2D6 and CYP2C9. To accomplish that, interaction studies with the chosen probe drugs dextromethorphan (DEX, CYP2D6), flurbiprofen (FLB, CYP2C9) and omeprazole (OME, CYP2C19) were conducted. It could be proven that DEX and FLB can be administered in combination, whereas OME alters the phenotyping results of CYP2C9. This is a new finding as in 2004 a phenotyping cocktail was published that used FLB and OME in combination. However, to our knowledge, no interaction tests were carried in that study. The new phenotyping procedure is not only verified by prior probe drug interaction studies, it also has other advantages over phenotyping cocktails found in literature. Firstly, save probe drugs are used in very small doses. This is possible due to the new sensitive LC-MS/MS methods that were evaluated. Secondly, the new phenotyping procedure is very fast and on-invasive. Urine has to be collected only for 2 h and the results also suggest that the time consuming glucuronide cleavage of the CYP2D6 dependent metabolite dextrorphan, usually carried out before CYP2D6 phenotyping, may be unnecessary. Most importantly, however, new insights into the phenotype prediction from genotype for CYP2C9 and CYP2D6 could be gained within this study. Nearly 300 phenotyped Caucasian subjects were also genotyped for the most important known variant alleles for CYP2D6, CYP2C9 and CYP2C19 using several established and newly developed genoptyping methods. Therefore, a direct correlation between phenotype and genotype could be conducted for CYP2D6 and CYP2C9. Employing linear modeling, it was possible to assign activity coefficients to each of the detected CYP2D6 and CYP2C9 alleles, thereby estimating their contribution to the resulting enzyme activity. This might facilitate the prediction of the CYP2D6 and CYP2C9 metabolic status of a subject knowing only its respective genotypes. Especially the new CYP2D6 genotype phenotype correlation model might allow for more precise phenotype prediction for the included variant alleles than was possible until now. Taken together, this study substantially contributes to the important research field of pharmacogenetics by (i) developing a save and easy-to-use phenotyping combination for CYP2D6 and CYP2C9, and (ii) by establishing activity coefficients for each of the detected CYP2D6 and CYP2C9 alleles, thereby allowing for a more precise prediction of the phenotype from genotype.