Publication: Pharmacogenetics-based population pharmacokinetic analysis of tenofovir in Thai HIV-infected patients
dc.contributor.author | Kanokrat Rungtivasuwan | en_US |
dc.contributor.author | Anchalee Avihingsanon | en_US |
dc.contributor.author | Narukjaporn Thammajaruk | en_US |
dc.contributor.author | Siwaporn Mitruk | en_US |
dc.contributor.author | David M. Burger | en_US |
dc.contributor.author | Kiat Ruxrungtham | en_US |
dc.contributor.author | Chonlaphat Sukasem | en_US |
dc.contributor.author | Baralee Punyawudho | en_US |
dc.contributor.other | Faculty of Medicine, Ramathibodi Hospital, Mahidol University | en_US |
dc.contributor.other | The HIV Netherlands Australia Thailand Research Collaboration | en_US |
dc.contributor.other | Chulalongkorn University | en_US |
dc.contributor.other | Vajira Hospital | en_US |
dc.contributor.other | Radboud University Nijmegen Medical Centre | en_US |
dc.contributor.other | Mahidol University | en_US |
dc.contributor.other | Chiang Mai University | en_US |
dc.date.accessioned | 2018-12-21T06:40:01Z | |
dc.date.accessioned | 2019-03-14T08:02:42Z | |
dc.date.available | 2018-12-21T06:40:01Z | |
dc.date.available | 2019-03-14T08:02:42Z | |
dc.date.issued | 2017-11-01 | en_US |
dc.description.abstract | © 2017 Future Medicine Ltd. Aim: To develop a population pharmacokinetic model and identify sources of variability, genetic and nongenetic factors, of tenofovir. Methods: The ABCC2 and ABCC4 polymorphisms were genotyped in 342 patients. A nonlinear mixed effects model was used to develop the population pharmacokinetic model and investigate the influence of these polymorphisms and other patient specific covariates on the pharmacokinetics of tenofovir. Results: The estimated glomerular filtration rate calculated by the Cockcroft and Gault equation, concomitant use of lopinavir/ritonavir and ABCC4 3463A>G polymorphism were associated with tenofovir apparent oral clearance (CL/F). The use of lopinavir/ritonavir decreased tenofovir CL/F by 25%. Patients carrying ABCC4 3463 AG or GG had a tenofovir CL/F 11% higher than those with genotype AA. Conclusion: Renal function, co-medication and genetic variation impact the pharmacokinetics of tenofovir. These factors should be taken into consideration to guide the individual tenofovir disoproxil fumarate dosage regimen in Thai HIV-infected patients. | en_US |
dc.identifier.citation | Pharmacogenomics. Vol.18, No.16 (2017), 1481-1490 | en_US |
dc.identifier.doi | 10.2217/pgs-2017-0128 | en_US |
dc.identifier.issn | 17448042 | en_US |
dc.identifier.issn | 14622416 | en_US |
dc.identifier.other | 2-s2.0-85034419484 | en_US |
dc.identifier.uri | https://repository.li.mahidol.ac.th/handle/20.500.14594/41724 | |
dc.rights | Mahidol University | en_US |
dc.rights.holder | SCOPUS | en_US |
dc.source.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85034419484&origin=inward | en_US |
dc.subject | Biochemistry, Genetics and Molecular Biology | en_US |
dc.title | Pharmacogenetics-based population pharmacokinetic analysis of tenofovir in Thai HIV-infected patients | en_US |
dc.type | Article | en_US |
dspace.entity.type | Publication | |
mu.datasource.scopus | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85034419484&origin=inward | en_US |