Evidence map›Paper›PMID 41592129›Full record

ArticlePLoS computational biology2026

A model for the human fetal ventricular myocyte electrophysiology.

Adelisa Avezzú, Stefano Longobardi, Anita Alvarez-Laviada, Francisca Schultz, Julia Gorelik, Catherine Williamson, Steven A Niederer

Abstract read
In one paragraph

Article in PLoS computational biology, 2026. 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

7 authors.

Adelisa AvezzúDepartment of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Stefano LongobardiDepartment of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-0111-0047
Anita Alvarez-LaviadaNational Heart and Lung Institute, Imperial College London, London, United Kingdom.
Francisca SchultzNational Heart and Lung Institute, Imperial College London, London, United Kingdom.
Julia GorelikDepartment of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom.
Catherine WilliamsonDepartment of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom.
Steven A NiedererNational Heart and Lung Institute, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-4612-6982

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fetal cardiac arrhythmias can lead to stillbirth, but direct studies on the human fetal heart are challenging. To address this, we developed a computational model of human fetal ventricular myocyte (hfVM) electrophysiology, focusing on early gestation (10 weeks). This model incorporates major ionic currents, including fetal-specific T-type calcium and funny currents, and is calibrated using mRNA expression data and experimental measurements. The hfVM model replicates key electrophysiological features, such as a shorter action potential duration and a more positive resting membrane potential compared to adult cells. Global sensitivity analysis reveals that the resting membrane potential is primarily influenced by the funny current and IK1, while action potential repolarisation depends mainly on IKr. Additionally, the sarcoplasmic reticulum contributes to calcium release, but less so than in adults; instead, the T-type calcium current and the sodium-calcium exchanger are more prominent in initiating calcium transients. This is the first human fetal ventricular myocyte model available for studying fetal cardiac physiology, pathology, and potential pharmacological interventions. It provides novel insights into the dominant ion channels governing fetal electrophysiology and calcium dynamics, offering a foundation for understanding arrhythmias and guiding therapeutic strategies.

Indexed as

Fetal HeartHeart VentriclesModels, CardiovascularMyocytes, CardiacAction PotentialsCalciumCalcium Channels, T-TypeComputer SimulationHumansMembrane PotentialsCalciumCalcium Channels, T-Type

Identifiers

PMID41592129
PMCPMC12863696

What OpenQuestion 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 OpenQuestion graph.