Evidence map›Paper›PMID 33237382›Full record

ArticlePharmaceutical research2020

Physiologically Based Pharmacokinetic Models of Probenecid and Furosemide to Predict Transporter Mediated Drug-Drug Interactions.

Hannah Britz, Nina Hanke, Mitchell E Taub, Ting Wang, Bhagwat Prasad, Éric Fernandez, Peter Stopfer, Valerie Nock, Thorsten Lehr

Open access · hybridAbstract read
In one paragraph

Article in Pharmaceutical research, 2020. 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
1.3field-weighted citation impact, top 16% of its field
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, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  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

9 authors at 4 institutions in 2 countries.

Hannah BritzClinical Pharmacy, Saarland University, Campus C2 2, 66123, Saarbrücken, Germany.
Nina HankeClinical Pharmacy, Saarland University, Campus C2 2, 66123, Saarbrücken, Germany.
Mitchell E TaubDrug Metabolism and Pharmacokinetics, Boehringer Ingelheim Pharmaceuticals Inc., Ridgefield, Connecticut, USA.
Ting WangDrug Metabolism and Pharmacokinetics, Boehringer Ingelheim Pharmaceuticals Inc., Ridgefield, Connecticut, USA.
Bhagwat PrasadDepartment of Pharmaceutical Sciences, Washington State University, Spokane, Washington, USA.
Éric FernandezTranslational Medicine and Clinical Pharmacology, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany.
Peter StopferTranslational Medicine and Clinical Pharmacology, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany.
Valerie NockTranslational Medicine and Clinical Pharmacology, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany.
Thorsten LehrClinical Pharmacy, Saarland University, Campus C2 2, 66123, Saarbrücken, Germany. thorsten.lehr@mx.uni-saarland.de.ORCID https://orcid.org/0000-0002-8372-1465
Boehringer Ingelheim (Germany) · DESaarland University · DEBoehringer Ingelheim (United States) · USWashington State University Spokane · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo provide whole-body physiologically based pharmacokinetic (PBPK) models of the potent clinical organic anion transporter (OAT) inhibitor probenecid and the clinical OAT victim drug furosemide for their application in transporter-based drug-drug interaction (DDI) modeling.

methodsPBPK models of probenecid and furosemide were developed in PK-Sim®. Drug-dependent parameters and plasma concentration-time profiles following intravenous and oral probenecid and furosemide administration were gathered from literature and used for model development. For model evaluation, plasma concentration-time profiles, areas under the plasma concentration-time curve (AUC) and peak plasma concentrations (C

resultsThe developed models accurately describe the reported plasma concentrations of 27 clinical probenecid studies and of 42 studies using furosemide. Furthermore, application of these models to predict the probenecid-furosemide and probenecid-rifampicin DDIs demonstrates their good performance, with 6/7 of the predicted DDI AUC ratios and 4/5 of the predicted DDI C

conclusionsWhole-body PBPK models of probenecid and furosemide were built and evaluated, providing useful tools to support the investigation of transporter mediated DDIs.

Indexed as

Models, BiologicalAdministration, IntravenousAdministration, OralAdultBiotransformationComputer SimulationDrug Elimination RoutesDrug InteractionsFemaleFurosemideHumansMaleOrganic Anion TransportersProbenecidRifampinFurosemideOrganic Anion TransportersProbenecidRifampindrug-drug interaction (DDI)furosemideorganic anion transporter (OAT)physiologically based pharmacokinetic modeling (PBPK)probenecid

Identifiers

PMID33237382
PMCPMC7688195
OpenAlexW3106859823

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.