Evidence map›Paper›PMID 34415382›Full record

Trial reportEuropean journal of clinical pharmacology2022

Physiologically based pharmacokinetic modelling to predict the clinical effect of CYP3A inhibitors/inducers on esaxerenone pharmacokinetics in healthy subjects and subjects with hepatic impairment.

Akiko Watanabe, Tomoko Ishizuka, Makiko Yamada, Yoshiyuki Igawa, Takako Shimizu, Hitoshi Ishizuka

Erratum issuedOpen access · hybridAbstract readClinical Trial
In one paragraph

Trial report in European journal of clinical pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Physiologically based pharmacokinetic modeling of small molecules: How much progress have we made?Drug metabolism and disposition: the biological fate of chemicals · 2025
    Review
  5. Review
  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Akiko WatanabeQuantitative Clinical Pharmacology Department, Daiichi Sankyo Co., Ltd., Tokyo, Japan. watanabe.akiko.mi@daiichisankyo.co.jp.ORCID http://orcid.org/0000-0001-7496-5911
Tomoko IshizukaDrug Metabolism and Pharmacokinetics Research Laboratories, Daiichi Sankyo Co., Ltd., Tokyo, Japan.
Makiko YamadaDrug Metabolism and Pharmacokinetics Research Laboratories, Daiichi Sankyo Co., Ltd., Tokyo, Japan.
Yoshiyuki IgawaQuantitative Clinical Pharmacology Department, Daiichi Sankyo Co., Ltd., Tokyo, Japan.
Takako ShimizuQuantitative Clinical Pharmacology Department, Daiichi Sankyo Co., Ltd., Tokyo, Japan.
Hitoshi IshizukaQuantitative Clinical Pharmacology Department, Daiichi Sankyo Co., Ltd., Tokyo, Japan.
Daiichi-Sankyo (Japan) · JPDaiichi Sankyo (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeEsaxerenone is a novel, oral, nonsteroidal treatment for hypertension. Physiologically based pharmacokinetic (PBPK) modelling was performed to predict the drug-drug interaction (DDI) effect of cytochrome P450 (CYP)3A modulators on esaxerenone pharmacokinetics in healthy subjects and subjects with hepatic impairment.

methodsIn our PBPK model, the fraction of esaxerenone metabolised by CYP3A was estimated from mass-balance data and verified and optimised by clinical DDI study results with strong CYP3A modulators. The model was also verified by the observed pharmacokinetics after multiple oral dosing and by the effect of hepatic impairment on esaxerenone pharmacokinetics. The model was applied to predict the DDI effects on esaxerenone pharmacokinetics with untested CYP3A modulators in healthy subjects and with strong CYP3A modulators in subjects with hepatic impairment.

resultsThe PBPK model well described esaxerenone pharmacokinetics after multiple oral dosing. The predicted fold changes in esaxerenone plasma exposure after coadministration with strong CYP3A modulators were comparable with the observed data (1.53-fold with itraconazole and 0.31-fold with rifampicin). Predicted DDIs with untested moderate CYP3A modulators were less than the observed DDI with strong CYP3A modulators. The PBPK model also described the effect of hepatic impairment on esaxerenone plasma exposure. The predicted DDI results with strong CYP3A modulators in subjects with hepatic impairment indicate that, for concomitant use of CYP3A modulators, caution is advised for subjects with hepatic impairment, as is for healthy subjects.

conclusionThe PBPK model developed predicted esaxerenone pharmacokinetics and DDIs and informed concurrent use of esaxerenone with CYP3A modulators.

Indexed as

Antihypertensive AgentsArea Under CurveComputer SimulationCytochrome P-450 CYP3A InducersCytochrome P-450 CYP3A InhibitorsDrug InteractionsHealthy VolunteersHumansItraconazoleJapanLiver FailureMetabolic Clearance RateModels, BiologicalPyrrolesRifampinSulfonesAntihypertensive AgentsCytochrome P-450 CYP3A InducersCytochrome P-450 CYP3A InhibitorsesaxerenoneItraconazolePyrrolesRifampinSulfonesCYP3A inhibitors/inducersDrug–drug interactionsEsaxerenoneHepatic impairmentPhysiologically based pharmacokinetics

Identifiers

PMID34415382
PMCPMC8724184
OpenAlexW4205551757

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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.