Role of pharmacogenetics in rifampicin pharmacokinetics and the potential effect on TB-rifampicin sensitivity among Ugandan patients.

BACKGROUND: Suboptimal anti-TB drugs exposure may cause multidrug-resistant TB. The role of African predominant SLCO1B1 variant alleles on rifampicin pharmacokinetics and the subsequent effect on the occurrence of Mycobacterium tuberculosis-rifampicin sensitivity needs to be defined. We describe the rifampicin population pharmacokinetics profile and investigate the relevance of SLCO1B1 genotypes to rifampicin pharmacokinetics and rifampicin-TB sensitivity status. METHODS: Fifty patients with TB (n=25 with rifampicin-resistant TB and n=25 with rifampicin-susceptible TB) were genotyped for SLOC1B1 rs4149032 (g.38664C>T), SLOC1B1*1B (c.388A>G) and SLOC1B1*5 (c.521 T>C). Steady state plasma rifampicin levels were determined among patients infected with rifampicin-sensitive TB. Data were analysed using NONMEM to estimate population rifampicin pharmacokinetics as well as the effect of SLOC1B1 genotypes on rifampicin pharmacokinetics and on rifampicin-TB sensitivity status. RESULTS: Overall allele frequencies of SLOC1B1 rs4149032, *1B and *5 were 0.66, 0.90 and 0.01, respectively. Median (IQR) Cmax and Tmax were 10.2 (8.1-12.5) mg/L and 1.7 (1.125-2.218) h, respectively. Twenty-four percent of patients exhibited Cmax below the recommended 8-24 mg/L range. SLOC1B1 genotypes, gender and age did not influence rifampicin pharmacokinetics or TB-rifampicin sensitivity. CONCLUSIONS: Although SLOC1B1 genotype, age and gender do not influence either rifampicin pharmacokinetics or rifampicin-TB sensitivity status, one in every four Ugandan TB patients achieve subtherapeutic plasma rifampicin concentrations.

HIV/AIDS patients display lower relative bioavailability of efavirenz than healthy subjects.

BACKGROUND: Pharmacokinetic studies of antiretroviral drugs are often conducted in adult healthy subjects, and the results are extrapolated to HIV/AIDS patients. HIV/AIDS, however, is known to cause morphological and physiological changes that may alter the pharmacokinetics of antiretroviral drugs. We examined the effect of HIV/AIDS on the pharmacokinetics of efavirenz in Ugandans. METHODS: After a first oral dose of efavirenz 600 mg in treatment-naïve HIV-infected patients, blood samples were collected at nine time points up to 24 hours. The plasma-concentration time data from these patients were merged with previously reported data from adult healthy subjects. Population pharmacokinetic models were fitted to the data, using NONMEM VI software. Covariate analyses were performed to estimate the effects of HIV/AIDS disease, demographic characteristics (sex, bodyweight, age), biochemical variables (serum creatinine, urea, alanine aminotransferase) and pharmacogenetic variation in cytochrome P450 (CYP) 2B6, CYP3A5 and adenosine triphosphate-binding cassette, sub-family B, member 1 (ABCB1) on the population pharmacokinetic parameters. RESULTS: Efavirenz plasma concentration-time data obtained from 29 HIV-1-infected, treatment-naïve patients were merged with previously reported data from 32 adult healthy subjects. The model identified sex and HIV/AIDS disease as statistically significant categorical predictors of efavirenz pharmacokinetics. Females were predicted to have a 2-fold higher volume of distribution of the peripheral compartment after oral administration (V(2)/F) than males (95% CI 1.53, 2.63), while HIV/AIDS patients were found to have 30% lower relative bioavailability (95% CI 18.7, 40.7) than healthy subjects. The increased V(2)/F in females resulted in a 2-fold longer elimination half-life than in males. CONCLUSION: On the basis of the findings of this analysis, we conclude that, apart from bodyweight-based differences, both HIV/AIDS disease and sex affect efavirenz pharmacokinetics in Ugandans. HIV/AIDS disease is associated with reduced relative bioavailability of efavirenz. We recommend that findings from healthy subject studies be confirmed in HIV/AIDS patients and that caution be applied in direct extrapolation of exposure data to the target patient population.