Evidence map›Paper›PMID 39297840›Full record

ReviewJACC. Clinical electrophysiology2024

Modeling Idiopathic Ventricular Fibrillation Using iPSC Cardiomyocytes and Computational Approaches: A Proof-of-Concept Study.

Louise Reilly, Mitchell Josvai, Manasa Kalluri, Corey L Anderson, Haibo Ni, Kate M Orland, Di Lang, Alexey V Glukhov, Eleonora Grandi, Lee L Eckhardt

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in JACC. Clinical electrophysiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Louise ReillyCellular and Molecular Arrhythmia Research Program, Division of Cardiovascular Medicine, Department of Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Mitchell JosvaiCellular and Molecular Arrhythmia Research Program, Division of Cardiovascular Medicine, Department of Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Manasa KalluriCellular and Molecular Arrhythmia Research Program, Division of Cardiovascular Medicine, Department of Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Corey L AndersonCellular and Molecular Arrhythmia Research Program, Division of Cardiovascular Medicine, Department of Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Haibo NiDepartment of Pharmacology, University of California-Davis, Davis, California, USA.
Kate M OrlandCellular and Molecular Arrhythmia Research Program, Division of Cardiovascular Medicine, Department of Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Di LangCellular and Molecular Arrhythmia Research Program, Division of Cardiovascular Medicine, Department of Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA; Cardiovascular Division, University of California-San Francisco, San Francisco, California, USA.
Alexey V GlukhovCellular and Molecular Arrhythmia Research Program, Division of Cardiovascular Medicine, Department of Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Eleonora GrandiDepartment of Pharmacology, University of California-Davis, Davis, California, USA.
Lee L EckhardtCellular and Molecular Arrhythmia Research Program, Division of Cardiovascular Medicine, Department of Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA. Electronic address: lle@medicine.wisc.edu.

Funding

Training Program in Translational Cardiovascular Science (TPTCS)T32HL007936 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI Lee Lochbaum Eckhardt, Gail A Robertson · 2001 to 2026
$11.6M
Functional Microdomains in the Heart's Pacemaker: A New Dimension of Cardiac RemodelingR01HL141214 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI Alexey V Glukhov · 2018 to 2026
$3.8M
Multiomics and Functional Characterization Establish Druggable Targets for PVC-Driven Idiopathic VFR01HL170521 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI Lee Lochbaum Eckhardt, Eleonora Grandi · 2023 to 2026
$3.1M
Deep Mutational Scanning and Functional Analysis of Repolarization DeterminantsR01HL163987 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI ECKHARDT, LEE LOCHBAUM · 2022 to 2025
$1.6M
KCNJ2-Induced Arrhythmia Mechanisms in CPVT and Heart Failure.R01HL139738 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI ECKHARDT, LEE LOCHBAUM · 2018 to 2021
$1.5M
American Heart Association-American Stroke Association 846898NHLBI NIH HHS R01 HL139738NHLBI NIH HHS R01 HL141214NHLBI NIH HHS R01 HL163987NHLBI NIH HHS R01 HL170521NHLBI NIH HHS T32 HL007936
6 · The paper itself

Abstract

Idiopathic ventricular fibrillation (IVF) is an unrefined diagnosis representing a heterogeneous patient group without a structural or genetic definition. IVF treatment is not mechanistic-based due to the lack of experimental patient-models. We sought to create a methodology to assess cellular arrhythmia mechanisms for IVF as a proof-of-concept study. Using IVF patient-specific induced pluripotent stem cell-derived cardiomyocytes, we integrate electrophysiological optical mapping with computational modeling to characterize the cellular phenotype. This approach flips the traditional paradigm using a biophysically detailed computational model to solve the problem inversely. Insight into the cellular mechanisms of this patient's IVF phenotype could also serve as a therapeutic testbed.

Indexed as

Induced Pluripotent Stem CellsMyocytes, CardiacProof of Concept StudyVentricular FibrillationComputer SimulationHumansModels, Cardiovascularcardiac arrhythmiaidiopathic ventricular fibrillationpatient-specific stem cellsventricular fibrillation

Identifiers

PMID39297840
PMCPMC11671283

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.