Evidence map›Paper›PMID 37034130›Full record

ReviewBiophysics reviews2023

Emerging methods to model cardiac ion channel and myocyte electrophysiology.

Jonathan D Moreno, Jonathan R Silva

Open access · hybridAbstract readReview
In one paragraph

Review in Biophysics reviews, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 36% of its field
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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

2 authors at 1 institution in 1 country.

Jonathan D MorenoDivision of Cardiology, Department of Medicine, Washington University in St. Louis, St. Louis, Missouri 63130, USA.ORCID https://orcid.org/0000-0001-5378-0192
Jonathan R SilvaDepartment of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, USA.ORCID https://orcid.org/0000-0002-3696-3955
Washington University in St. Louis · US

Funding

Personalizing Class I anti-Arrhythmic Drug TherapyR01HL148803 · NHLBI · WASHINGTON UNIVERSITY · PI SILVA, JONATHAN R · 2020 to 2024
$3.2M
MODULATION OF CARDIAC NAV CHANNEL FUNCTION AND ELECTROPHYSIOLOGY BY INTERACTING MOLECULESR01HL136553 · NHLBI · WASHINGTON UNIVERSITY · PI SILVA, JONATHAN R · 2017 to 2021
$1.9M
NHLBI NIH HHS R01 HL136553NHLBI NIH HHS R01 HL148803
6 · The paper itself

Abstract

In the field of cardiac electrophysiology, modeling has played a central role for many decades. However, even though the effort is well-established, it has recently seen a rapid and sustained evolution in the complexity and predictive power of the models being created. In particular, new approaches to modeling have allowed the tracking of parallel and interconnected processes that span from the nanometers and femtoseconds that determine ion channel gating to the centimeters and minutes needed to describe an arrhythmia. The connection between scales has brought unprecedented insight into cardiac arrhythmia mechanisms and drug therapies. This review focuses on the generation of these models from first principles, generation of detailed models to describe ion channel kinetics, algorithms to create and numerically solve kinetic models, and new approaches toward data gathering that parameterize these models. While we focus on application of these models for cardiac arrhythmia, these concepts are widely applicable to model the physiology and pathophysiology of any excitable cell.

Identifiers

PMID37034130
PMCPMC10071990
OpenAlexW4361279281

What Socratic 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 Socratic graph.