Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Feb 7;68(2):e0100423.
doi: 10.1128/aac.01004-23. Epub 2023 Dec 11.

Simultaneous pharmacokinetic modeling of unbound and total darunavir with ritonavir in adolescents: a substudy of the SMILE trial

Affiliations

Simultaneous pharmacokinetic modeling of unbound and total darunavir with ritonavir in adolescents: a substudy of the SMILE trial

Seef Abdalla et al. Antimicrob Agents Chemother. .

Abstract

Darunavir (DRV) is an HIV protease inhibitor commonly used as part of antiretroviral treatment regimens globally for children and adolescents. It requires a pharmacological booster, such as ritonavir (RTV) or cobicistat. To better understand the pharmacokinetics (PK) of DRV in this younger population and the importance of the RTV boosting effect, a population PK substudy was conducted within SMILE trial, where the maintenance of HIV suppression with once daily integrate inhibitor + darunavir/ritonavir in children and adolescents is evaluated. A joint population PK model that simultaneously used total DRV, unbound DRV, and total RTV concentrations was developed. Competitive and non-competitive models were examined to define RTV's influence on DRV pharmacokinetics. Linear and non-linear equations were tested to assess DRV protein binding. A total of 443 plasma samples from 152 adolescents were included in this analysis. Darunavir PK was best described by a one-compartment model first-order absorption and elimination. The influence of RTV on DRV pharmacokinetics was best characterized by ritonavir area under the curve on DRV clearance using a power function. The association of non-linear and linear equations was used to describe DRV protein binding to alpha-1 glycoprotein and albumin, respectively. In our population, simulations indicate that 86.8% of total and unbound DRV trough concentrations were above 0.55 mg/L [10 times protein binding-adjusted EC50 for wild-type (WT) HIV-1] and 0.0243 mg/L (10 times EC90 for WT HIV-1) targets, respectively. Predictions were also in agreement with observed outcomes from adults receiving 800/100 mg DRV/r once a day. Administration of 800/100 mg of DRV/r once daily provides satisfactory concentrations and exposures for adolescents aged 12 years and older.

Keywords: adolescent; children; darunavir; free fraction; population pharmacokinetics; ritonavir; unbound.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

Figures

Fig 1
Fig 1
Time point distribution of blood samples collected and used for the PK analysis.
Fig 2
Fig 2
Schematic representation of the final joint model. F is the bioavailability, D is the dose administered, ka is the absorption constant, V is the volume of distribution, ke is the elimination constant, [AAG] is the AAG concentration, NAAG is the number of binding sites on AAG for DRV, Kd is the dissociation constant of AAG for DRV, [HSA] is the albumin concentration, θHSA is the binding constant of HSA for DRV, and AUCRTV is the RTV AUC0-24h inhibiting the elimination of DRV.
Fig 3
Fig 3
Goodness-of-fit plots from the final joint model. Red, blue, and gray points are unbound DRV, total DRV, and RTV concentrations, respectively. NPDE is the normalized prediction distribution error. Solid lines represent identity lines (top plots) or the theoretical mean of NPDE (bottom plots). Orange dashed lines are the regression lines.
Fig 4
Fig 4
pcVPC plots for total DRV (left), unbound DRV (middle), and RTV (right) concentrations. Black points represent observed concentrations. Solid black lines represent the 10th, 50th, and 90th percentiles of observed concentrations. Gray areas represent the 95% confidence interval of the 10th, 50th, and 90th percentiles of simulated concentrations.
Fig 5
Fig 5
Percentage of darunavir bound to HSA (dotted line), AAG (dashed line), and unbound fraction of darunavir (solid line) according to total DRV concentrations in different conditions of AAG and HSA levels. Bottom-middle plot depicts protein binding for average AAG and HSA levels in our population.

References

    1. World Health Organization . 2019. Policy brief: update of recommendations on first- and second-line antiretroviral regimens. WHO/CDS/HIV/19.15. World Health Organization
    1. EACSociety . 2021.. EACS guidelines for the management of people living with HIV in Europe. Available from: https://www.eacsociety.org/guidelines/eacs-guidelines
    1. Reust CE. 2011. Common adverse effects of antiretroviral therapy for HIV disease. Am Fam Physician 83:1443–1451. - PubMed
    1. Spinner CD, Kümmerle T, Krznaric I, Degen O, Schwerdtfeger C, Zink A, Wolf E, Klinker HHF, Boesecke C. 2017. Pharmacokinetics of once-daily dolutegravir and ritonavir-boosted darunavir in HIV patients: the DUALIS study. J Antimicrob Chemother 72:2679–2681. doi:10.1093/jac/dkx105 - DOI - PubMed
    1. Deeks ED. 2014. Darunavir: a review of its use in the management of HIV-1 infection. Drugs 74:99–125. doi:10.1007/s40265-013-0159-3 - DOI - PubMed

Publication types