Evidence map›Paper›PMID 40374083›Full record

ArticleJournal of pharmacological and toxicological methods2025

Computational modelling for improved translation of cardiac inotropic and lusitropic drug effects from rats to humans.

Alexander Jung, Christoph M Augustin, Julia Voglhuber-Höller, Mara Kiessling, Senka Ljubojevic-Holzer, Gary R Mirams, Steven A Niederer, Gernot Plank

Abstract read
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In one paragraph

Article in Journal of pharmacological and toxicological methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Alexander JungGottfried Schatz Research Center for Cell Signaling, Metabolism and Aging - Division of Medical Physics and Biophysics, Medical University of Graz, Graz, Austria; BioTechMed-Graz, Graz, Austria. Electronic address: alexander.jung@medunigraz.at.
Christoph M AugustinGottfried Schatz Research Center for Cell Signaling, Metabolism and Aging - Division of Medical Physics and Biophysics, Medical University of Graz, Graz, Austria; BioTechMed-Graz, Graz, Austria.
Julia Voglhuber-HöllerBioTechMed-Graz, Graz, Austria; Department of Cardiology, Medical University of Graz, Graz, Austria.
Mara KiesslingBioTechMed-Graz, Graz, Austria; Department of Cardiology, Medical University of Graz, Graz, Austria.
Senka Ljubojevic-HolzerBioTechMed-Graz, Graz, Austria; Department of Cardiology, Medical University of Graz, Graz, Austria; Gottfried Schatz Research Center for Cell Signaling, Metabolism and Aging - Division of Molecular Biology and Biochemistry, Medical University of Graz, Graz, Austria.
Gary R MiramsCentre for Mathematical Medicine & Biology, School of Mathematical Sciences, University of Nottingham, Nottingham, United Kingdom.
Steven A NiedererDivision of Imaging Sciences & Biomedical Engineering, King's College London, London, United Kingdom.
Gernot PlankGottfried Schatz Research Center for Cell Signaling, Metabolism and Aging - Division of Medical Physics and Biophysics, Medical University of Graz, Graz, Austria; BioTechMed-Graz, Graz, Austria.

Funding

Mechanistic Relationships Between Fibrosis, Fibrillation, and Stroke: Multi-Scale, Multi-Physics SimulationsR01HL158667 · NHLBI · UNIVERSITY OF WASHINGTON · PI Patrick M Boyle · 2022 to 2026
$3.1M
NHLBI NIH HHS R01 HL158667
6 · The paper itself

Abstract

Telemetered rats are widely used for early drug screenings but pronounced physiological differences between rat and human hearts limit translational relevance. To address this, the study investigates the potential of computer modelling to improve the translation of inotropic and lusitropic drug effects from rats to humans, beginning at the cellular scale. To this end, computer models of rat and human left ventricular cardiomyocytes were constructed to reproduce experimental data. First, global sensitivity analyses identified distinctive differences in inotropic and lusitropic responses to the inhibition of ion channels and transporters in rats and humans. Then, the computer models were used to address the translation challenge by predicting human responses based on sarcomere length and intracellular [Ca

Indexed as

Cardiotonic AgentsComputer SimulationMyocardial ContractionMyocytes, CardiacAnimalsCalciumDrug Evaluation, PreclinicalHumansMaleRatsSarcomeresSarcoplasmic Reticulum Calcium-Transporting ATPasesSodium-Calcium ExchangerTranslational Research, BiomedicalCalciumCardiotonic AgentsSarcoplasmic Reticulum Calcium-Transporting ATPasesSodium-Calcium Exchanger3RsCardiac safetyCardiovascular pharmacologyComputer simulationDrug discoveryIn silico modelling

Identifiers

PMID40374083
PMCPMC12759087

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.