Unknown

Dataset Information

0

Effects of genetic variability on rifampicin and isoniazid pharmacokinetics in South African patients with recurrent tuberculosis.


ABSTRACT: AIM:We report the prevalence and effect of genetic variability on pharmacokinetic parameters of isoniazid and rifampicin. MATERIALS & METHODS:Genotypes for SLCO1B1, NAT2, PXR, ABCB1 and UGT1A genes were determined using a TaqMan® Genotyping OpenArray™. Nonlinear mixed-effects models were used to describe drug pharmacokinetics. RESULTS:Among 172 patients, 18, 43 and 34% were classified as rapid, intermediate and slow NAT2 acetylators, respectively. Of the 58 patients contributing drug concentrations, rapid and intermediate acetylators had 2.3- and 1.6-times faster isoniazid clearance than slow acetylators. No association was observed between rifampicin pharmacokinetics and SLCO1B1, ABCB1, UGT1A or PXR genotypes. CONCLUSION:Clinical relevance of the effects of genetic variation on isoniazid concentrations and low first-line tuberculosis drug exposures observed require further investigation.

SUBMITTER: Naidoo A 

PROVIDER: S-EPMC6562923 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature

altmetric image

Publications

Effects of genetic variability on rifampicin and isoniazid pharmacokinetics in South African patients with recurrent tuberculosis.

Naidoo Anushka A   Chirehwa Maxwell M   Ramsuran Veron V   McIlleron Helen H   Naidoo Kogieleum K   Yende-Zuma Nonhlanhla N   Singh Ravesh R   Ncgapu Sinaye S   Adamson John J   Govender Katya K   Denti Paolo P   Padayatchi Nesri N  

Pharmacogenomics 20190215 4


<h4>Aim</h4>We report the prevalence and effect of genetic variability on pharmacokinetic parameters of isoniazid and rifampicin.<h4>Materials & methods</h4>Genotypes for SLCO1B1, NAT2, PXR, ABCB1 and UGT1A genes were determined using a TaqMan<sup>®</sup> Genotyping OpenArray™. Nonlinear mixed-effects models were used to describe drug pharmacokinetics.<h4>Results</h4>Among 172 patients, 18, 43 and 34% were classified as rapid, intermediate and slow NAT2 acetylators, respectively. Of the 58 patie  ...[more]

Similar Datasets

| S-EPMC7038290 | biostudies-literature
| S-EPMC4176729 | biostudies-other
| S-EPMC3977610 | biostudies-literature
| S-EPMC3858233 | biostudies-literature
| S-EPMC8597769 | biostudies-literature
| S-EPMC3612327 | biostudies-other
| S-EPMC5753622 | biostudies-literature
| S-EPMC6635374 | biostudies-literature
| S-EPMC1720436 | biostudies-other
| S-EPMC5786780 | biostudies-literature