Literature DB >> 16778716

Are plasma levels valid surrogates for cellular concentrations of antiretroviral drugs in HIV-infected patients?

Sara Colombo1, Amalio Telenti, Thierry Buclin, Hansjakob Furrer, Belle L Lee, Jérôme Biollaz, Laurent A Decosterd.   

Abstract

Total plasma concentrations are currently measured for therapeutic drug monitoring of HIV protease inhibitors (PIs) and nonnucleoside reverse transcriptase inhibitors (NNRTIs). However, the pharmacological target of antiretroviral drugs reside inside cells. To study the variability of their cellular accumulation, and to determine to which extent total plasma concentrations (TPC) correlate with cellular concentrations (CC), plasma and peripheral blood mononuclear cells (PBMCs) were simultaneously collected at single random times after drug intake from 133 HIV infected patients. TPC levels were analysed by high-performance liquid chromatography with ultraviolet detection and CC by LC-MS/MS from peripheral blood mononuclear cells. The best correlations between TPC and CC were observed for nelfinavir (NFV, slope=0.93, r=0.85), saquinavir (SQV, slope=0.76, r=0.80) and lopinavir (LPV, slope=0.87, r=0.63). By contrast, TPC of efavirenz (EFV) exhibited a moderate correlation with CC (slope=0.69, r=0.58), while no correlation was found for nevirapine (NVP, slope=-0.3, r=0.1). Interindividual variability in the CC/TPC ratio was lower for protease inhibitors (coefficients of variation 76%, 61%, and 80% for SQV, NFV and LPV, respectively) than for nonnucleoside reverse transcriptase inhibitors (coefficients of variation 101% and 318%, for EFV and NVP). As routine CC measurement raises practical difficulties, well-correlated plasma concentrations (ie, NFV, SQV and LPV) can probably be considered as appropriate surrogates for cellular drug exposure. For drugs such as EFV or NVP, there may be room for therapeutic drug monitoring improvement using either direct CC determination or other predictive factors such as genotyping of transporters or metabolizing enzyme genes.

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Year:  2006        PMID: 16778716     DOI: 10.1097/01.ftd.0000211807.74192.62

Source DB:  PubMed          Journal:  Ther Drug Monit        ISSN: 0163-4356            Impact factor:   3.681


  6 in total

1.  Mechanism-based pharmacokinetic (MBPK) models describe the complex plasma kinetics of three antiretrovirals delivered by a long-acting anti-HIV drug combination nanoparticle formulation.

Authors:  John C Kraft; Lisa A McConnachie; Josefin Koehn; Loren Kinman; Jianguo Sun; Ann C Collier; Carol Collins; Danny D Shen; Rodney J Y Ho
Journal:  J Control Release       Date:  2018-02-10       Impact factor: 9.776

Review 2.  PharmGKB summary: Efavirenz pathway, pharmacokinetics.

Authors:  Ellen M McDonagh; Johnathan L Lau; Maria L Alvarellos; Russ B Altman; Teri E Klein
Journal:  Pharmacogenet Genomics       Date:  2015-07       Impact factor: 2.089

Review 3.  Recent developments of nanotherapeutics for targeted and long-acting, combination HIV chemotherapy.

Authors:  Yu Gao; John C Kraft; Danni Yu; Rodney J Y Ho
Journal:  Eur J Pharm Biopharm       Date:  2018-04-17       Impact factor: 5.571

4.  Ultra-fast analysis of plasma and intracellular levels of HIV protease inhibitors in children: a clinical application of MALDI mass spectrometry.

Authors:  Jeroen J A van Kampen; Mariska L Reedijk; Peter C Burgers; Lennard J M Dekker; Nico G Hartwig; Ineke E van der Ende; Ronald de Groot; Albert D M E Osterhaus; David M Burger; Theo M Luider; Rob A Gruters
Journal:  PLoS One       Date:  2010-07-01       Impact factor: 3.240

5.  Extended cell and plasma drug levels after one dose of a three-in-one nanosuspension containing lopinavir, efavirenz, and tenofovir in nonhuman primates.

Authors:  Josefin Koehn; Jennifer F Iwamoto; John C Kraft; Lisa A McConnachie; Ann C Collier; Rodney J Y Ho
Journal:  AIDS       Date:  2018-11-13       Impact factor: 4.177

6.  An Expanded Analysis of Pharmacogenetics Determinants of Efavirenz Response that Includes 3'-UTR Single Nucleotide Polymorphisms among Black South African HIV/AIDS Patients.

Authors:  Marelize Swart; Jonathan Evans; Michelle Skelton; Sandra Castel; Lubbe Wiesner; Peter J Smith; Collet Dandara
Journal:  Front Genet       Date:  2016-01-07       Impact factor: 4.599

  6 in total

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