Evidence map›Paper›PMID 39714044›Full record

ArticleCPT: pharmacometrics & systems pharmacology2025

Development of a physiologically-based pharmacokinetic model for Ritonavir characterizing exposure and drug interaction potential at both acute and steady-state conditions.

Lien Thi Ngo, Woojin Jung, Tham Thi Bui, Hwi-Yeol Yun, Jung-Woo Chae, Jeremiah D Momper

Abstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Lien Thi NgoCollege of Pharmacy, Chungnam National University, Daejeon, Korea.ORCID 0000-0002-0577-4983
Woojin JungCollege of Pharmacy, Chungnam National University, Daejeon, Korea.ORCID 0000-0001-7806-597X
Tham Thi BuiCollege of Pharmacy, Chungnam National University, Daejeon, Korea.
Hwi-Yeol YunCollege of Pharmacy, Chungnam National University, Daejeon, Korea.ORCID 0000-0001-8793-2449
Jung-Woo ChaeCollege of Pharmacy, Chungnam National University, Daejeon, Korea.
Jeremiah D MomperSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, California, USA.

Funding

Chungnam National University, National Research Foundation of Korea (NRF) 2022R1A5A7085156Chungnam National University, National Research Foundation of Korea (NRF) NRF-2022R1A2C1010929Chungnam National University, National Research Foundation of Korea (NRF) RS-2023-00278597Ministry of Health & Welfare and Ministry of Science and ICT, Republic of Korea RS-2024-00460694
6 · The paper itself

Abstract

Ritonavir (RTV) is a potent CYP3A inhibitor that is widely used as a pharmacokinetic (PK) enhancer to increase exposure to select protease inhibitors. However, as a strong and complex perpetrator of CYP3A interactions, RTV can also enhance the exposure of other co-administered CYP3A substrates, potentially causing toxicity. Therefore, the prediction of drug-drug interactions (DDIs) and estimation of dosing requirements for concomitantly administered drugs is imperative. In this study, we aimed to develop a physiologically-based PK (PBPK) model for RTV using the PK-sim® software platform. A total of 13 clinical PK studies of RTV covering a wide dose range (100 to 600 mg including both single and multiple dosing), and eight clinical DDI studies with RTV on CYP3A and P-gp substrates, including alprazolam, midazolam, rivaroxaban, clarithromycin, fluconazole, sildenafil, and digoxin were used for the model development and evaluation. Chronopharmacokinetic differences (between morning vs. evening doses) and limitations in parameter estimation for biochemical processes of RTV from in vitro studies were incorporated in the PBPK model. The final developed PBPK model predicted 100% of RTV AUC

Indexed as

Cytochrome P-450 CYP3A InhibitorsHIV Protease InhibitorsModels, BiologicalRitonavirAdultCytochrome P-450 CYP3ADose-Response Relationship, DrugDrug InteractionsFemaleHumansMaleYoung AdultCYP3A protein, humanCytochrome P-450 CYP3ACytochrome P-450 CYP3A InhibitorsHIV Protease InhibitorsRitonavir

Identifiers

PMID39714044
PMCPMC11919272

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.