Effect of drug combination on tacrolimus target dose in renal transplant patients with different CYP3A5 genotypes.

Various factors, including genetic polymorphisms, drug-drug interactions, and patient characteristics influence the blood concentrations of tacrolimus in renal transplant patients. In the present study, we established a population pharmacokinetic model to explore the effect of combined use of Wuzhi capsules/echinocandins and the patients' biochemical parameters such as haematocrit on blood concentrations and target doses of tacrolimus in renal transplant patients with different CYP3A5 genotypes. The aim of the study was to propose an individualised tacrolimus administration regimen for early renal transplant recipients.In this retrospective cohort study, we included 240 renal transplant recipients within 21 days of surgery (174 males and 66 females, mean age 39.4 years), who received tacrolimus alone (n = 54), in combination with Wuzhi capsules (99) or caspofungin (57) or micafungin (30). We collected demographic characteristics, clinical indicators, CYP3A5 genotypes, and 1950 steady-state concentrations of tacrolimus and included them in population pharmacokinetic model. An additional 110 renal transplant recipients and 625 steady-state concentrations of tacrolimus were included for external validation of the model. The population pharmacokinetic model was established and Monte Carlo was used to simulate probabilities for achieving the target concentration for individual tacrolimus administration.A two-compartment model of first-order absorption and elimination was developed to describe the population pharmacokinetics of tacrolimus. CYP3A5 genotypes and co-administration of Wuzhi capsules, as well as time after renal transplantation and haematocrit, were important factors affecting the clearance of tacrolimus. We found no obvious change in trend in the scatter plot of tacrolimus clearance rate vs. haematocrit. The Monte Carlo simulation indicated the following recommended doses of tacrolimus alone: 0.14 mg⋅kg-1⋅d-1 for genotype CYP3A5*1*1, 0.12 mg⋅kg-1⋅d-1 for CYP3A5*1*3, and 0.10 mg⋅kg-1⋅d-1 for CYP3A5*3*3. For patients receiving the combination with Wuzhi capsules, the recommended doses of tacrolimus were 0.10 mg⋅kg-1⋅d-1 for CYP3A5*1*1, 0.08 mg⋅kg-1⋅d-1 for CYP3A5*1*3, and 0.06 mg⋅kg-1⋅d-1 for CYP3A5*3*3 genotypes. Caspofungin or micafungin had no effect on the clearance of tacrolimus in renal transplant recipients.The population pharmacokinetics of tacrolimus in renal transplant patients was evaluated and the individual administration regimen of tacrolimus was simulated. For early kidney transplant recipients receiving tacrolimus treatment, not only body weight, but also CYP3A5 genotypes and drugs used in combination should be considered when determining the target dose of tacrolimus.

Methylenetetrahydrofolate Reductase Gene Polymorphism C677T is Associated with Increased Risk of Coronary Heart Disease in Chinese Type 2 Diabetic Patients.

Objective Chronic cardiovascular diseases induced by long-term poor blood glucose control are the main cause of death in patients with type 2 diabetes mellitus (T2DM). Previous researches report that methylenetetrahydrofolate reductase gene (MTHFR) polymorphisms might influence the occurrence of coronary heart disease (CHD) in T2DM patients. The purpose of this study was to evaluate whether MTHFR C677T and A1298C mutations are associated with the risk of CHD in T2DM patients. Methods A total of 197 subjects with T2DM were studied, of which 95 patients with CHD. The genotypes of MTHFR C677T and A1298C were analyzed by using dideoxy chain-termination method, and compared between patients with CHD and those without CHD. Results We found that the frequency of the 677T allele was significantly higher in T2DM patients with CHD than those without CHD (P=0.011). However, there was no significant difference in any of the examined haplotypes between T2DM patients with and without CHD. Furthermore, the 677T allele was associated with a higher risk of CHD development in diabetic patients with lower homocysteine (Hcy) levels (≤15 µmol/L) (P=0.006), while no effect of MTHFR gene polymorphism on the incidence of CHD was found in patients with higher Hcy levels (>15 µmol/L) (P=0.491). Conclusion The MTHFR C677T gene polymorphism is associated with the risk of CHD of diabetic patients and could be used as an effective marker for CHD in Chinese diabetic populations with normal Hcy levels.

Pharmacogenetics of statins treatment: Efficacy and safety.

WHAT IS KNOWN AND OBJECTIVE: Statins are widely used worldwide in the prevention and treatment of coronary atherosclerotic heart disease and ischaemic stroke. However, in clinical application, statins have shown great individual differences in terms of the efficacy and safety, some of which are related to genetic factors. The purpose of this article was to summarize the recent advances about the correlation between gene polymorphisms and the efficacy/safety of statins. METHODS: We searched the databases including PharmGKB and PubMed (published before June 2019) using the keywords such as 'statin', 'gene polymorphism' and 'SNP' and obtained more than 100 articles. In this review, we described the clinical studies of genetic variants associated with both the efficacy and adverse reactions of statins. We also clarified the importance of taking pharmacogenetic variation into account to improve the clinical application of statins. RESULTS AND DISCUSSION: The available data were collected and analysed to present the polymorphisms of candidate genes encoding the most promising proteins including SLCO1B1 (encoding uptake transporters); ABCB1, ABCC2, ABCG2 (encoding effluent transporter); APOE, APOA5 (encoding apolipoprotein); genes encoding cytochrome P450 enzyme system; KIF6, HMGCR, LDLR, LPA, PCSK9, COQ2, CETP, etc These genes were proved to be related to the pharmacodynamics and pharmacokinetics of statins, thus affecting the efficacy and safety. WHAT IS NEW AND CONCLUSION: In this paper, the correlation between gene polymorphisms and the efficacy/safety of statins was summarized. The authors reached a consensus that the variants of the genes encoding uptake and effluent transporters have the most effect on the efficacy/safety of statins. It pointed out that it is desirable to do genetic testing of these transporter genes to reduce the incidence of myopathy or to achieve better outcomes before patients use statins, especially in the regions with high frequency of risk allele.