Evidence map›Paper›PMID 37702946›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

HPC Framework for Performing in Silico Trials Using a 3D Virtual Human Cardiac Population as Means to Assess Drug-Induced Arrhythmic Risk.

Jazmin Aguado-Sierra, Renee Brigham, Apollo K Baron, Paula Dominguez Gomez, Guillaume Houzeaux, Jose M Guerra, Francesc Carreras, David Filgueiras-Rama, Mariano Vazquez, Paul A Iaizzo and 2 more

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
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

12 authors.

Jazmin Aguado-SierraBarcelona Supercomputing Center, Barcelona, Spain. jazmin.aguado@bsc.es.
Renee BrighamVisible Heart® Laboratories, Department of Surgery and the Institute for Engineering in Medicine, University of Minnesota, Minneapolis, MN, USA.
Apollo K BaronElem Biotech S.L., Barcelona, Spain.
Paula Dominguez GomezElem Biotech S.L., Barcelona, Spain.
Guillaume HouzeauxBarcelona Supercomputing Center, Barcelona, Spain.
Jose M GuerraHospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, CIBERCV, Barcelona, Spain.
Francesc CarrerasHospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, CIBERCV, Barcelona, Spain.
David Filgueiras-RamaFundación Centro Nacional de Investigaciones Cardiovasculares (CNIC), Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), CIBERCV, Madrid, Spain.
Mariano VazquezBarcelona Supercomputing Center, Barcelona, Spain.
Paul A IaizzoVisible Heart® Laboratories, Department of Surgery and the Institute for Engineering in Medicine, University of Minnesota, Minneapolis, MN, USA.
Tinen L IlesDepartment of Surgery, Medical School, University of Minnesota, Minneapolis, MN, USA.
Constantine ButakoffElem Biotech S.L., Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Following the 3 R's principles of animal research-replacement, reduction, and refinement-a high-performance computational framework was produced to generate a platform to perform human cardiac in-silico clinical trials as means to assess the pro-arrhythmic risk after the administrations of one or combination of two potentially arrhythmic drugs. The drugs assessed in this study were hydroxychloroquine and azithromycin. The framework employs electrophysiology simulations on high-resolution three-dimensional, biventricular human heart anatomies including phenotypic variabilities, so as to determine if differential QT-prolongation responds to drugs as observed clinically. These simulations also reproduce sex-specific ionic channel characteristics. The derived changes in the pseudo-electrocardiograms, calcium concentrations, as well as activation patterns within 3D geometries were evaluated for signs of induced arrhythmia. The virtual subjects could be evaluated at two different cycle lengths: at a normal heart rate and at a heart rate associated with stress as means to analyze the proarrhythmic risks after the administrations of hydroxychloroquine and azithromycin. Additionally, a series of experiments performed on reanimated swine hearts utilizing Visible Heart

Indexed as

AzithromycinHydroxychloroquineAction PotentialsAnimalsElectrocardiographyFemaleHeartHumansMaleSwineAzithromycinHydroxychloroquineCardiac populationCardiac safetyComputational electrophysiologyDrug-induced arrhythmia

Identifiers

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.