Evidence map›Paper›PMID 26369773›Full record

ArticleClinical pharmacokinetics2016

Physiologically Based Modelling of Darunavir/Ritonavir Pharmacokinetics During Pregnancy.

Angela Colbers, Rick Greupink, Carlijn Litjens, David Burger, Frans G M Russel

Abstract read
In one paragraph

Article in Clinical pharmacokinetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Role of Cytochrome P450 2C9 in COVID-19 Treatment: Current Status and Future Directions.European journal of drug metabolism and pharmacokinetics · 2023
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Pharmacology of HIV Cure: Site of Action.Clinical pharmacology and therapeutics · 2021
    Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Physiologically-based pharmacokinetics of ziprasidone in pregnant women.British journal of clinical pharmacology · 2019
    Article
  17. Article
  18. Review
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Angela ColbersDepartment of Pharmacy, Radboud University Medical Centre, Radboud Institute for Health Sciences, Nijmegen, The Netherlands.
Rick GreupinkDepartment of Pharmacology and Toxicology (149), Radboud University Medical Centre, Radboud Institute for Molecular Life Sciences, PO Box 9101, 6500 HB, Nijmegen, The Netherlands. rick.greupink@radboudumc.nl.
Carlijn LitjensDepartment of Pharmacy, Radboud University Medical Centre, Radboud Institute for Health Sciences, Nijmegen, The Netherlands.
David BurgerDepartment of Pharmacy, Radboud University Medical Centre, Radboud Institute for Health Sciences, Nijmegen, The Netherlands.
Frans G M RusselDepartment of Pharmacology and Toxicology (149), Radboud University Medical Centre, Radboud Institute for Molecular Life Sciences, PO Box 9101, 6500 HB, Nijmegen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pregnant women are usually excluded from clinical trials. Physiologically based pharmacokinetic (PBPK) modelling may provide a method to predict pharmacokinetics in pregnant women, without the need to perform extensive in vivo clinical trials. Here, we used mechanistic modelling to delineate the potential impact of drug transporters on darunavir pharmacokinetics and to identify current knowledge gaps that limit accurate PBPK modelling of darunavir/ritonavir (darunavir/r) exposure in pregnancy. Simcyp (version 13.2) was used for PBPK modelling, using physicochemical and in vitro pharmacokinetic parameters of darunavir and ritonavir from the literature. The Michaelis-Menten constant (K m) and the maximum rate of metabolite formation (V max) for cytochrome P450 3A4-mediated darunavir biotransformation and inhibition by ritonavir were determined experimentally, while the contributions of hepatocyte influx and efflux transporters were assessed by sensitivity analysis. The simulations were compared with previously published clinical pharmacokinetic data. We found that use of a well-stirred liver model overestimated darunavir exposure substantially. A permeability-limited liver model, including hepatic uptake and efflux transporters and an efficient enterohepatic circulation step, resulted in an acceptable description of darunavir/r exposure. For the 600/100 mg darunavir/r twice-daily dose and the 800/100 mg once-daily dose, the estimated pharmacokinetic parameters were within a 2-fold range of the reported data. The predicted decreases in the area under the concentration-time curve (AUC) values during pregnancy for the twice- and once-daily doses were 27 and 41%, respectively, which were in line with the observed decreases of 17-22 and 33%. In conclusion, our data support a clinically relevant role of hepatic transporters in darunavir pharmacokinetics. By including them in our model, we successfully approximated the increase in darunavir exposure mediated by ritonavir co-administration and the decrease in darunavir exposure observed during pregnancy.

Indexed as

Models, BiologicalAdultCytochrome P-450 CYP3A InhibitorsDarunavirFemaleHIV InfectionsHIV Protease InhibitorsHumansLiverPregnancyRitonavirYoung AdultCytochrome P-450 CYP3A InhibitorsDarunavirHIV Protease InhibitorsRitonavir

Identifiers

PMID26369773
PMCPMC4761019

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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.