| Literature DB >> 36266537 |
Rohan Gurjar1, Laura Dickinson2, Daniel Carr1, Wolfgang Stöhr3, Stefano Bonora4, Andrew Owen1, Antonio D'Avolio4, Adam Cursley3, Nathalie De Castro5, Gerd Fätkenheuer6, Linos Vandekerckhove7, Giovanni Di Perri4, Anton Pozniak8, Christine Schwimmer9, François Raffi10, Marta Boffito8,11.
Abstract
Using concentration-time data from the NEAT001/ARNS143 study (single sample at week 4 and 24), we determined raltegravir pharmacokinetic parameters using nonlinear mixed effects modelling (NONMEM v.7.3; 602 samples from 349 patients) and investigated the influence of demographics and SNPs (SLC22A6 and UGT1A1) on raltegravir pharmacokinetics and pharmacodynamics. Demographics and SNPs did not influence raltegravir pharmacokinetics and no significant pharmacokinetic/pharmacodynamic relationships were observed. At week 96, UGT1A1*28/*28 was associated with lower virological failure (p = 0.012), even after adjusting for baseline CD4 count (p = 0.048), but not when adjusted for baseline HIV-1 viral load (p = 0.082) or both (p = 0.089). This is the first study to our knowledge to assess the influence of SNPs on raltegravir pharmacodynamics. The lack of a pharmacokinetic/pharmacodynamic relationship is potentially an artefact of raltegravir's characteristic high inter and intra-patient variability and also suggesting single time point sampling schedules are inadequate to thoroughly assess the influence of SNPs on raltegravir pharmacokinetics.Entities:
Year: 2022 PMID: 36266537 PMCID: PMC9584256 DOI: 10.1038/s41397-022-00293-5
Source DB: PubMed Journal: Pharmacogenomics J ISSN: 1470-269X Impact factor: 3.245