Evidence map›Paper›PMID 34283621›Full record

ArticleMolecular pharmaceutics2021

Physiologically Based Pharmacokinetic Modeling of Transporter-Mediated Hepatic Disposition of Imaging Biomarker Gadoxetate in Rats.

Daniel Scotcher, Nicola Melillo, Sirisha Tadimalla, Adam S Darwich, Sabina Ziemian, Kayode Ogungbenro, Gunnar Schütz, Steven Sourbron, Aleksandra Galetin

Open access · hybridAbstract read
In one paragraph

Article in Molecular pharmaceutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

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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.

Daniel ScotcherCentre for Applied Pharmacokinetic Research, School of Health Sciences, University of Manchester, Manchester M13 9PL, U.K.ORCID 0000-0001-9144-3824
Nicola MelilloCentre for Applied Pharmacokinetic Research, School of Health Sciences, University of Manchester, Manchester M13 9PL, U.K.
Sirisha TadimallaDivision of Medical Physics, University of Leeds, Leeds LS2 9JT, U.K.
Adam S DarwichCentre for Applied Pharmacokinetic Research, School of Health Sciences, University of Manchester, Manchester M13 9PL, U.K.
Sabina ZiemianMR & CT Contrast Media Research, Bayer AG, Berlin 13342, Germany.
Kayode OgungbenroCentre for Applied Pharmacokinetic Research, School of Health Sciences, University of Manchester, Manchester M13 9PL, U.K.
Gunnar SchützMR & CT Contrast Media Research, Bayer AG, Berlin 13342, Germany.
Steven SourbronDepartment of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield S10 2TN, U.K.
Aleksandra GaletinCentre for Applied Pharmacokinetic Research, School of Health Sciences, University of Manchester, Manchester M13 9PL, U.K.ORCID 0000-0002-3933-5217
University of Manchester · GBBayer (Germany) · DEUniversity of Leeds · GBUniversity of Sheffield · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physiologically based pharmacokinetic (PBPK) models are increasingly used in drug development to simulate changes in both systemic and tissue exposures that arise as a result of changes in enzyme and/or transporter activity. Verification of these model-based simulations of tissue exposure is challenging in the case of transporter-mediated drug-drug interactions (tDDI), in particular as these may lead to differential effects on substrate exposure in plasma and tissues/organs of interest. Gadoxetate, a promising magnetic resonance imaging (MRI) contrast agent, is a substrate of organic-anion-transporting polypeptide 1B1 (OATP1B1) and multidrug resistance-associated protein 2 (MRP2). In this study, we developed a gadoxetate PBPK model and explored the use of liver-imaging data to achieve and refine in vitro-in vivo extrapolation (IVIVE) of gadoxetate hepatic transporter kinetic data. In addition, PBPK modeling was used to investigate gadoxetate hepatic tDDI with rifampicin i.v. 10 mg/kg. In vivo dynamic contrast-enhanced (DCE) MRI data of gadoxetate in rat blood, spleen, and liver were used in this analysis. Gadoxetate in vitro uptake kinetic data were generated in plated rat hepatocytes. Mean (%CV) in vitro hepatocyte uptake unbound Michaelis-Menten constant (

Indexed as

AnimalsBiological Transport, ActiveBiomarkersCells, CulturedContrast MediaDrug InteractionsGadolinium DTPAHepatocytesLiverMagnetic Resonance ImagingMaleModels, AnimalOrganic Anion TransportersRatsRifampinBiomarkersContrast MediaGadolinium DTPAgadolinium ethoxybenzyl DTPAOrganic Anion TransportersRifampinSlco1a4 protein, ratdrug−drug interactionsdrug transportersgadoxetatehepatobiliary excretionimaging biomarkerphysiologically based pharmacokinetic modelquantitative translation

Identifiers

PMID34283621
PMCPMC8397403
OpenAlexW3185583012

What OpenQuestion holds

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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.