Evidence map›Paper›PMID 40737342›Full record

ArticlePloS one2025

Dominant ionic currents in rabbit ventricular action potential dynamics.

Zhechao Yang, Hao Gao, Godfrey L Smith, Radostin D Simitev

Abstract read
In one paragraph

Article in PloS one, 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

4 authors.

Zhechao YangSchool of Mathematics and Statistics, University of Glasgow, Glasgow, United Kingdom.
Hao GaoSchool of Mathematics and Statistics, University of Glasgow, Glasgow, United Kingdom.
Godfrey L SmithSchool of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom.
Radostin D SimitevSchool of Mathematics and Statistics, University of Glasgow, Glasgow, United Kingdom.ORCID https://orcid.org/0000-0002-2207-5789

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mathematical models of cardiac cell electrical activity include numerous parameters, making calibration to experimental data and individual-specific modeling challenging. This study applies Sobol sensitivity analysis, a global variance-decomposition method, to identify the most influential parameters in the Shannon model of rabbit ventricular myocyte action potential (AP). The analysis highlights the background chloride current ([Formula: see text]) as the dominant determinant of AP variability. Additionally, the inward rectifier potassium current ([Formula: see text]), fast/slow delayed rectifier potassium currents (IKr, [Formula: see text]), sodium-calcium exchanger current ([Formula: see text]), the slow component of the transient outward potassium current ([Formula: see text]), and L-type calcium current ([Formula: see text]) significantly affect AP biomarkers, including duration, plateau potential, and resting potential. Exploiting these results, a hierarchical reduction of the model is performed and demonstrates that retaining only six key parameters can capture sufficiently well individual biomarkers, with a coefficient of determination exceeding 0.9 for selected cases. These findings improve the utility of the Shannon model for personalized simulations, aiding applications like digital twins and drug response predictions in biomedical research.

Indexed as

Action PotentialsHeart VentriclesMyocytes, CardiacAnimalsModels, CardiovascularPotassiumRabbitsSodium-Calcium ExchangerPotassiumSodium-Calcium Exchanger

Identifiers

PMID40737342
PMCPMC12310051

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.