Evidence map›Paper›PMID 32449077›Full record

ArticleClinical pharmacokinetics2020

A Comprehensive Whole-Body Physiologically Based Pharmacokinetic Drug-Drug-Gene Interaction Model of Metformin and Cimetidine in Healthy Adults and Renally Impaired Individuals.

Nina Hanke, Denise Türk, Dominik Selzer, Naoki Ishiguro, Thomas Ebner, Sabrina Wiebe, Fabian Müller, Peter Stopfer, Valerie Nock, Thorsten Lehr

Open access · hybridAbstract read
In one paragraph

Article in Clinical pharmacokinetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
2.7field-weighted citation impact, top 8% 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

34 citing papers in PubMed, 45 citations in OpenAlex.

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  14. Metformin role in Parkinson's disease: a double-sword effect.Molecular and cellular biochemistry · 2024
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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

10 authors at 3 institutions in 2 countries.

Nina HankeClinical Pharmacy, Saarland University, Campus C2 2, 66123, Saarbrücken, Germany.
Denise TürkClinical Pharmacy, Saarland University, Campus C2 2, 66123, Saarbrücken, Germany.
Dominik SelzerClinical Pharmacy, Saarland University, Campus C2 2, 66123, Saarbrücken, Germany.
Naoki IshiguroKobe Pharma Research Institute, Nippon Boehringer Ingelheim Co. Ltd., Kobe, Japan.
Thomas EbnerBoehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany.
Sabrina WiebeBoehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany.
Fabian MüllerBoehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany.
Peter StopferBoehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany.
Valerie NockBoehringer 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 0000-0002-8372-1465
Boehringer Ingelheim (Germany) · DESaarland University · DEBoehringer Ingelheim (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetformin is a widely prescribed antidiabetic BCS Class III drug (low permeability) that depends on active transport for its absorption and disposition. It is recommended by the US Food and Drug Administration as a clinical substrate of organic cation transporter 2/multidrug and toxin extrusion protein for drug-drug interaction studies. Cimetidine is a potent organic cation transporter 2/multidrug and toxin extrusion protein inhibitor.

objectiveThe objective of this study was to provide mechanistic whole-body physiologically based pharmacokinetic models of metformin and cimetidine, built and evaluated to describe the metformin-SLC22A2 808G>T drug-gene interaction, the cimetidine-metformin drug-drug interaction, and the impact of renal impairment on metformin exposure.

methodsPhysiologically based pharmacokinetic models were developed in PK-Sim

resultsThe established physiologically based pharmacokinetic models adequately describe the available clinical data, including the investigated drug-gene interaction, drug-drug interaction, and drug-drug-gene interaction studies, as well as the metformin exposure during renal impairment. All modeled drug-drug interaction area under the curve and maximum concentration ratios are within 1.5-fold of the observed ratios. The clinical data of renally impaired patients shows the expected increase in metformin exposure with declining kidney function, but also indicates counter-regulatory mechanisms in severe renal disease; these mechanisms were implemented into the model based on findings in preclinical species.

conclusionsWhole-body physiologically based pharmacokinetic models of metformin and cimetidine were built and qualified for the prediction of metformin pharmacokinetics during drug-gene interaction, drug-drug interaction, and different stages of renal disease. The model files will be freely available in the Open Systems Pharmacology model repository. Current guidelines for metformin treatment of renally impaired patients should be reviewed to avoid overdosing in CKD3 and to allow metformin therapy of CKD4 patients.

Indexed as

MetforminAdultCimetidineDrug InteractionsHumansHypoglycemic AgentsPharmacogeneticsRenal Insufficiency, ChronicCimetidineHypoglycemic AgentsMetformin

Identifiers

PMID32449077
PMCPMC7658088
OpenAlexW3026957833

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.