Evidence map›Paper›PMID 32367273›Full record

ArticleArchives of toxicology2020

Integrating in vitro data and physiologically based kinetic modeling-facilitated reverse dosimetry to predict human cardiotoxicity of methadone.

Miaoying Shi, Hans Bouwmeester, Ivonne M C M Rietjens, Marije Strikwold

Open access · hybridAbstract read
In one paragraph

Article in Archives of toxicology, 2020. 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
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

13 citing papers in PubMed, 23 citations in OpenAlex.

  1. Cross-species comparisons of plasma binding and considerations for data evaluation.Toxicology in vitro : an international journal published in association with BIBRA · 2025
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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

4 authors at 2 institutions in 1 country.

Miaoying ShiDivision of Toxicology, Wageningen University, Stippeneng 4, 6708 WE, Wageningen, The Netherlands. miaoying.shi@wur.nl.ORCID http://orcid.org/0000-0002-9159-1461
Hans BouwmeesterDivision of Toxicology, Wageningen University, Stippeneng 4, 6708 WE, Wageningen, The Netherlands.
Ivonne M C M RietjensDivision of Toxicology, Wageningen University, Stippeneng 4, 6708 WE, Wageningen, The Netherlands.
Marije StrikwoldVan Hall Larenstein University of Applied Sciences, 8901 BV, Leeuwarden, The Netherlands.
Wageningen University & Research · NLVan Hall Larenstein University of Applied Sciences · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Development of novel testing strategies to detect adverse human health effects is of interest to replace in vivo-based drug and chemical safety testing. The aim of the present study was to investigate whether physiologically based kinetic (PBK) modeling-facilitated conversion of in vitro toxicity data is an adequate approach to predict in vivo cardiotoxicity in humans. To enable evaluation of predictions made, methadone was selected as the model compound, being a compound for which data on both kinetics and cardiotoxicity in humans are available. A PBK model for methadone in humans was developed and evaluated against available kinetic data presenting an adequate match. Use of the developed PBK model to convert concentration-response curves for the effect of methadone on human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CM) in the so-called multi electrode array (MEA) assay resulted in predictions for in vivo dose-response curves for methadone-induced cardiotoxicity that matched the available in vivo data. The results also revealed differences in protein plasma binding of methadone to be a potential factor underlying variation between individuals with respect to sensitivity towards the cardiotoxic effects of methadone. The present study provides a proof-of-principle of using PBK modeling-based reverse dosimetry of in vitro data for the prediction of cardiotoxicity in humans, providing a novel testing strategy in cardiac safety studies.

Indexed as

Models, BiologicalToxicity TestsAction PotentialsAnalgesics, OpioidArrhythmias, CardiacCardiotoxicityCell LineComputer SimulationDose-Response Relationship, DrugHeart RateHumansInduced Pluripotent Stem CellsKineticsMethadoneMyocytes, CardiacProof of Concept StudyAnalgesics, OpioidMethadoneCardiac electrophysiologyHuman induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CM)MethadonePhysiologically based kinetic (PBK) modelingQuantitative in vitro to in vivo extrapolation (QIVIVE)Reverse dosimetry

Identifiers

PMID32367273
PMCPMC7395048
OpenAlexW3021661498

What OpenQuestion holds

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LicenceCC BY
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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.