Evidence map›Paper›PMID 27858342›Full record

ArticleEuropean journal of drug metabolism and pharmacokinetics2017

Physiologically Based Pharmacokinetic (PBPK) Modeling of Pitavastatin and Atorvastatin to Predict Drug-Drug Interactions (DDIs).

Peng Duan, Ping Zhao, Lei Zhang

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In one paragraph

Article in European journal of drug metabolism and pharmacokinetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
8.3field-weighted citation impact, top 2% 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

37 citing papers in PubMed, 74 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

3 authors at 2 institutions in 1 country.

Peng DuanOffice of Commissioner, USFDA, Silver Spring, MD, USA.
Ping ZhaoOffice of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, USFDA, Silver Spring, MD, 20993, USA.
Lei ZhangOffice of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, USFDA, Silver Spring, MD, 20993, USA. leik.zhang@fda.hhs.gov.
United States Food and Drug Administration · USCenter for Drug Evaluation and Research · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe disposition of statins varies and involves both metabolizing enzymes and transporters, making predictions of statin drug-drug interactions (DDIs) challenging. Physiologically based pharmacokinetic (PBPK) models have, however, demonstrated ability to predict complex DDIs.

objectiveIn this study, PBPK models of two statins (pitavastatin and atorvastatin) were developed and applied to predict pitavastatin and atorvastatin associated DDIs.

methodPitavastatin and atorvastatin PBPK models were developed using in vitro and human pharmacokinetic data in a population-based PBPK software (SimCYP

resultsThe statin models reasonably predicted the observed exposure change due to Organic Anion Transporting Polypeptide (OATP) 1B1 polymorphism or clinical DDIs with itraconazole, erythromycin, and gemfibrozil, while under-predicted the observed DDIs caused by rifampin and cyclosporine. Further analysis demonstrated that OATP1B1 inhibition by rifampin or cyclosporine in the existing inhibitor models needs to be approximately tenfold stronger to recapitulate the observed DDI with these two inhibitors.

conclusionThrough quantitative assessment of the effect of OATP1B1 genetic polymorphism and inhibitors of transporters and metabolizing enyzmes via PBPK modeling, we confirmed the importance of OATP1B1 in the disposition of these two statins, and explored potential causes for under-prediction of the inhibitory effect of rifampin and cyclosporine.

Indexed as

Liver-Specific Organic Anion Transporter 1Models, BiologicalAtorvastatinComputer SimulationDrug InteractionsHumansPolymorphism, GeneticPredictive Value of TestsQuinolinesAtorvastatinLiver-Specific Organic Anion Transporter 1pitavastatinQuinolinesSLCO1B1 protein, human

Identifiers

PMID27858342
OpenAlexW2549198174

What OpenQuestion holds

Textmetadata
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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.