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Background: The pharmacokinetics (PKs) and pharmacodynamics (PDs) of telmisartan varies among the individuals, and the main causes remain unknown. The aim of this study was to evaluate the impact of ORM1, as well as ABCC2, ABCB1, ABCG2 and SLCO1B3 polymorphisms, on the disposition of the drug and BP change after taking 40 mg telmisartan in 48 healthy Chinese males. Method: A total of 48 healthy males were included in this trial. Every volunteer ingested a single dose of 40 mg telmisartan, and the plasma drug concentration and blood pressure (BP) were measured up to 48 h. Result: In this study, the area under the plasma concentration-time curve (AUC) in the heterozygotes of ORM1 113AG was higher than that in the wild-type homozygotes, AUC(0–48) (113AA vs. 113AG, 1,549.18±859.84 ng·h/ml vs. 2,313.54±1,257.71 ng·h/ml, P = 0.033), AUC(0–∞) (113AA vs. 113AG, 1,753.13±1,060.60 ng·h/ml vs. 2,686.90±1,401.87 ng·h/ml, P = 0.016), and the change(%) of the diastolic blood pressure (DBP) from the baseline BP value also showed a significant difference between the ORM1 113AG and 113AA genotypes at 5 h after taking telmisartan (P = 0.026). This study also showed that the allele of ABCC2 C3972T would affected the disposition of telmsiartan and the DBP change significantly after taking the drug. However, the common SNPs of ABCG2 C421, ABCB1 C3435T, and SLCO1B3 T334G showed no impacts on the PKs of telmisartan or BP change(%) in our trial. Conclusion: The ORM1 A113G polymorphism was associated with the PKs variability after taking telmsiartan, as well as ABCC2 C3972T. The heterozygotes of ORM1 113AG showed a larger AUC and a notable BP change(%) from the baseline compared with the wild-type. Trial Registration: Chinese Clinical Trial Registry ChiCTR-TNC-10000898 [ABSTRACT FROM AUTHOR]

Abstract: Objective: We investigated the linkage between SNPs in exon 12 (C1236T), exon 21 (G2677T/A) and exon 26 (C3435T) of MDR1, and explored the effect of linked polymorphism on the absorption of talinolol after a single oral dose of 100 mg. Methods: The genotype of 192 healthy Chinese volunteers was determined using PCR-RFLP with respect to the MDR1 alleles of interest, C1236T, G2677T/A and C3435T. Linkage disequilibrium was analyzed using PHASE software. Consecutive eligible subjects received a single oral dose of 100 mg talinolol. Venous blood samples were taken at intervals up to 60 h post dose for HPLC analysis of plasma concentration of talinolol to obtain a pharmacokinetic profile. Results: Linkage disequilibrium existed between exon 21 (G2677T/A) and exon 26 (C3435T), exon 12 (C1236T) and exon 21 (G2677T/A), but not between exon 12 (C1236T) and exon 21 (G2677T/A). AUC (0,3h), AUC (0,∞), C max and C max/AUC (0,∞), used as indices of talinolol absorption, were not significantly different between the genotype groups of 2677GG/3435TT, 2677TT/3435TT, 2677GT/3435CT and 2677AT/3435CT. For these 4 groups, AUC(0,3h) were 436.8±50.1, 510.1±86.3, 466.1±77.8 and 437.2±73.4 (μg×h/l) and the C max/AUC (0,∞) were 0.097±0.018, 0.093±0.022, 0.105±0.014 and 0.102±0.027 (h−1), respectively. (P >0.05). Conclusions: The linked MDR1 polymorphisms in exon 21 G2677T/A and exon 26 C3435T apparently did not contribute to the absorptive pharmacokinetics of a single oral dose of 100 mg talinolol. [Copyright &y& Elsevier]

Background: Colorectal cancer (CRC) is a widespread and aggressive carcinoma with poor prognosis. Hypermethylation of specific gene promoters is an important mechanism of CRC. In this study, we investigated the hypermethylation of paired boxed gene 1 ( PAX1 ) and sex-determining region Y-related high-mobility group box 1 ( SOX1 ) genes in CRC tissues., Methods: DNA methylation at cg2,09,07,471 PAX1 and cg0,66,75,478 SOX1 from 166 cancer tissues and 37 normal tissues from CRC patients were compared using datasets downloaded from The Cancer Genome Atlas. Quantitative methylation-specific polymerase chain reaction and assay of PAX1 and SOX1 were performed in dissected tumor and paracancerous tissues by surgery from 41 CRC patients. Quantitative reverse transcription polymerase chain reaction and immunohistochemistry assay were performed in both CRC and paired normal tissues to detect mRNA and protein expression, respectively., Results: Methylation levels of PAX1 / SOX1 genes were significantly higher in cancer tissues than in paired normal tissues. PAX1 and SOX1 genes were methylated in 28 (68.3%) of the 41 CRC samples but in 5 (12.2%) and 0 (0%) of the paired normal control samples (both P <0.001), respectively. Sensitivities and specificities of PAX1 methylation for the detection of cancer were 68.3% and 87.8%, respectively, whereas the corresponding values for SOX1 were 68.3% and 100%. However, the Kaplan-Meier analysis illustrated no significant difference in the overall survivals between patients with high and low methylation levels of SOX1 or PAX1 ( P >0.5). In addition, the methylation level of PAX1 / SOX1 was significantly higher in CRC patients with high TNM stage (TNM stage III/IV, 3.11±2.43) than those with low TNM stage (TNM stage I/II, 1.26±2.94, P <0.05). Relative RNA and protein expression levels of PAX1 / SOX1 were both significantly lower in CRC tissues than in their paired normal tissue., Conclusions: This study is the first analysis of the methylation of PAX1 / SOX1 , which may be new biomarkers for CRC screening., Competing Interests: Disclosure The authors report no conflicts of interest in this work.

This study was designed to investigate the potential association between NTCP c.800C >T polymorphism and rosuvastatin pharmacokinetics in Chinese healthy males. 305 individuals were enrolled to identify NTCP c.800C > T, OATP1B1 c.521T > C and BCRP c.421C > A genotypes by direct sequencing and pyrosequencing methods, respectively. 17 healthy volunteers who were OATP1B1 c.521TT and BCRP c.421CC wild-type homozygotes with different NTCP c.800C > T genotype were selected to participate in this pharmacokinetic study. Nine were NTCP c.800CC wild-type homozygotes and the other eight subjects were carriers with at least one c.800T variant allele (seven subjects with c.800CT genotype and one was homozygote of c.800TT). All the subjects received a single oral dose of 10 mg rosuvastatin. The plasma concentrations of rosuvastatin were measured up to 72 h by a LC-MS method. NTCP c.800C > T genetic polymorphism markedly effected rosuvastatin pharmacokinetics. The AUC(o-72) and AUC(0 --> ∞) in subjects with NTCP c.800CT + TT genotype were 56% (162.64 ± 37.55 vs. 103.99 ± 28.15 ng x h/ml, P = 0.016) and 57% greater (178.51 ± 42.75 vs. 113.60 ± 33.73 ng x h/ml, P = 0.020) than those in the c.800CC wild-type subjects, respectively. In the c.800CT + TT mutant group, the C(max) was about 78% higher than those in c.800CC genotype (14.31 ± 3.63 vs. 8.04 ± 1.72 ng x h/ml, P = 0.004). The oral clearance (CL/F) of rosuvastatin in subjects with the c.800CT+TT genotype was only 63% of those in the c.800CC genotype (58.32 ± 12.16 vs. 93.04 ± 20.61 ng x h/ml, P = 0.009). The half-time (T1/2) and the T(max) had no significant difference between two groups (p = 0.466 and 0.713, respectively). NTCP c.800C > T polymorphism play a critical role in the individual variability of rosuvastatin pharmacokinetics in Chinese healthy males after excluding the impact of OATP1B1 c.521T > C and BCRP c.421C > A polymorphisms.

The effect of pitavastatin and SLCO1B1 genetic background on the pharmacokinetic and pharmacodynamic properties of repaglinide was investigated. In this randomized, placebo-controlled, crossover study, twelve healthy Chinese males were administered with pitavastatin 4 mg/d or the placebo for 5 d followed by repaglinide 4 mg given orally on d 5. Plasma repaglinide and glucose levels were measured by liquid chromatography-tandem mass spectrometry (LC/MS/MS) and the glucose oxidase method, respectively. Treatment with pitavastatin significantly increased the peak plasma concentration (Cmax) of repaglinide (P=0.003) in SLCO1B1*1b homozygotes (P=0.015) and SLCO1B1*15 carriers (P=0.031). Treatment with pitavastatin led to a marginal increase in the area under plasma concentration-time curve from 0 h to infinity (AUC0⇒∞) of repaglinide (P=0.091). There was no significant difference in pharmacokinetic parameters or hypoglycemic effects of repaglinide among SLCO1B1 genotypes in either the pitavastatin or control group. Pitavastatin increased the Cmax of the plasma concentration of repaglinide in an SLCO1B1 genotype dependent manner, but had no apparent effect on the pharmacodynamics of repaglinide in healthy volunteers. The p values for this statement were not reported.

Objectives: Our objectives were to determine whether the Gly389 polymorphism of the beta(1)-adrenergic receptor exhibits reduced responsiveness in vivo and to test the hypothesis that the Gly389Arg polymorphism affects the blood pressure and heart rate response to metoprolol., Methods: beta(1)-Adrenergic receptor genotype was determined by polymerase chain reaction-restriction fragment length polymorphism assay. Exercise-induced heart rate increases were compared to determine the functional significance in vivo in 8 healthy Chinese men homozygous for Gly389 and 8 homozygous for Arg389. All of the subjects were given 25, 50, or 75 mg of metoprolol every 8 hours; the dosages were given in a random order, and each dosage was given for 1 day. The degree of beta-blockade was measured as the reduction in resting and exercise heart rates and blood pressures. Plasma metoprolol concentrations were measured by the use of HPLC-fluorescence detection., Results: Exercise led to a workload-dependent increase in heart rate. There were no differences in exercise-induced heart rate increases between Arg389 and Gly389 homozygotes. Oral metoprolol caused significant dose-dependent decreases in both resting and exercise heart rates in both groups. The reductions in the resting heart rate in 3 dosage levels of metoprolol were 6.3% +/- 0.8% versus 4.1% +/- 0.7%, 10.1% +/- 1.0% versus 6.2% +/- 1.1%, and 14.4% +/- 1.4% versus 10.9% +/- 1.3% in homozygous Arg389 subjects and Gly389 subjects, respectively (P =.008). We also found differences with respect to the exercise heart rate (8.9% +/- 0.5%, 14.0% +/- 0.9%, and 20.1% +/- 1.5% in Arg389 subjects and 6.6% +/- 0.7%, 11.7% +/- 1.0%, and 16.4% +/- 1.3% in Gly389 subjects; P =.017) and systolic pressure (5.9% +/- 0.7%, 9.2% +/- 1.0%, and 11.6% +/- 1.2% in Arg389 subjects and 4.6% +/- 0.5%, 6.0% +/- 0.8%, and 9.9% +/- 0.9% in Gly389 subjects; P =.011). However, the difference in the fall in diastolic pressure was not statistically significant (P =.442)., Conclusions: The Arg389 variant of the beta(1)-adrenergic receptor was associated with a greater response to metoprolol than that of Gly389 in young, male Chinese subjects. These data suggested that the beta(1)-adrenergic receptor Gly389Arg polymorphism is of major functional importance in vivo.

This work evaluated the kinetic behavior of fluoxetine O-dealkylation in human liver microsomes from different CYP2C19 genotypes and identified the isoenzymes of cytochrome P450 involved in this metabolic pathway. The kinetics of the rho-trifluoromethylphenol (TFMP) formation from fluoxetine was determined in human liver microsomes from three homozygous (wt/wt) and three heterozygous (wt/m1) extensive metabolizers (EMs) and three poor metabolizers (PMs) with m1 mutation (m1/m1) with respect to CYP2C19. The formation rate of TFMP was determined by gas chromatograph with electron-capture detection. The kinetics of TFMP formation was best described by the two-enzyme and single-enzyme Michaelis-Menten equation for liver microsomes from CYP2C19 EMs and PMs, respectively. The mean intrinsic clearance (V(max)/K(m)) for the high- and low-affinity component was 25.2 microl/min/nmol and 3.8 microl/min/nmol of cytochrome P450 in the homozygous EMs microsomes and 12.8 microl/min/nmol and 2.9 microl/min/nmol of cytochrome P450 in the heterozygous EMs microsomes, respectively. Omeprazole (a CYP2C19 substrate) at a high concentration and triacetyloleandomycin (a selective inhibitor of CYP3A4) substantially inhibited O-dealkylation of fluoxetine. Furthermore, fluoxetine O-dealkylation was correlated significantly with S-mephenytoin 4'-hydroxylation at a low substrate concentration and midazolam 1'-hydroxylation at a high substrate concentration in liver microsomes of 11 Chinese individuals, respectively. Moreover, there were obvious differences in the O-dealkylation of fluoxetine in liver microsomes from different CYP2C19 genotypes and in microsomal fractions of different human-expressed lymphoblast P450s. The results demonstrated that polymorphic CYP2C19 and CYP3A4 enzymes were the major cytochrome P450 isoforms responsible for fluoxetine O-dealkylation, whereas CYP2C19 catalyzed the high-affinity O-dealkylation of fluoxetine, and its contribution to this metabolic reaction was gene dose-dependent.