Evidence map›Paper›PMID 41348925›Full record

ArticlePLoS computational biology2025

Systematic computational assessment of atrial function impairment due to fibrotic remodeling in electromechanical properties.

Åshild Telle, Ahmad Kassar, Nadia Chamoun, Romanos Haykal, Alejandro Gonzalo, Tori Hensley, Yaacoub Chahine, Oscar Flores, Juan C Del Álamo, Nazem Akoum and 2 more

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. 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.

Åshild TelleDepartment of Bioengineering, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0001-5399-4094
Ahmad KassarDivision of Cardiology, Department of Medicine, University of Washington, Seattle, Washington, United States of America.ORCID 0009-0006-1082-8858
Nadia ChamounDivision of Cardiology, Department of Medicine, University of Washington, Seattle, Washington, United States of America.
Romanos HaykalDivision of Cardiology, Department of Medicine, University of Washington, Seattle, Washington, United States of America.
Alejandro GonzaloDepartment of Mechanical Engineering, University of Washington, Seattle, Washington, United States of America.
Tori HensleyDivision of Cardiology, Department of Medicine, University of Washington, Seattle, Washington, United States of America.
Yaacoub ChahineDivision of Cardiology, Department of Medicine, University of Washington, Seattle, Washington, United States of America.
Oscar FloresDepartment of Aerospace Engineering, Universidad Carlos III de Madrid, Leganés, Spain.ORCID 0000-0003-2365-0738
Juan C Del ÁlamoDepartment of Bioengineering, University of Washington, Seattle, Washington, United States of America.
Nazem AkoumDivision of Cardiology, Department of Medicine, University of Washington, Seattle, Washington, United States of America.
Christoph M AugustinGottfried Schatz Research Center for Cell Signaling, Metabolism and Aging - Division of Medical Physics and Biophysics, Medical University of Graz, Graz, Austria.ORCID 0000-0001-6341-4014
Patrick M BoyleDepartment of Bioengineering, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0001-9048-1239

Funding

Mechanistic Relationships Between Fibrosis, Fibrillation, and Stroke: Multi-Scale, Multi-Physics SimulationsR01HL158667 · NHLBI · UNIVERSITY OF WASHINGTON · PI Patrick M Boyle · 2022 to 2026
$3.1M
Patient-specific thrombosis risk in atrial fibrillation by 4D CT imaging of atrial kinetics combined with computational fluid dynamicsR01HL160024 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DEL ALAMO, JUAN CARLOS, KAHN, ANDREW · 2021 to 2024
$2.7M
NHLBI NIH HHS R01 HL158667NHLBI NIH HHS R01 HL160024
6 · The paper itself

Abstract

Cardiac fibrosis is a pathological condition associated with many cardiovascular diseases. Atrial fibrosis leads to reduced atrial function, resulting in diminished blood flow and an increased risk of stroke. This reduced function arises from altered myocardial electrophysiological and mechanical properties. Identifying the relative importance of these fibrosis-associated properties can reveal the most significant determinants of left atrial function impairment. In this study, we used a computational framework to investigate the relative importance of various fibrosis-associated properties. Our model, a 3D electromechanical framework coupled with a 0D circulatory model, incorporated patient-specific geometries and fibrosis distributions from clinical imaging data. Nine parameters related to fibrotic remodeling (conduction velocity, ion channel expression levels, cell- and tissue-scale contractility, and stiffness) were analyzed using two sensitivity analysis schemes: a one-factor-at-a-time setup, allowing for analysis of isolated effects, and a fractional factorial design, enabling examination of combined effects. As output, we tracked various metrics derived from model-predicted pressure-volume loops. Impairment of L-type calcium current (ICaL) was most detrimental (up to 64% reduction in A-loop area of the left atrial pressure-volume relationship, quantifying work performed during atrial contraction). Conversely, reduced inward rectifier current (IK1) led to improved atrial function (up to 27% increase in A-loop area). Detailed analysis of spatiotemporal distributions linked these effects to changes in intracellular calcium handling. Fractional factorial design analysis revealed that combination with other parameter changes blunted the impact of reduced ICaL but amplified the impact of reduced IK1. Future research focusing on IK1 and ICaL could be highly significant for clinical and scientific advances. Modeling work can help evaluate left atrial function among larger patient cohorts, focusing on strain analysis. Our work could also be extended to spatiotemporal simulations of blood flow and thrombosis, shedding light onto the mechanisms underlying atriogenic stroke.

Indexed as

Atrial FunctionAtrial RemodelingHeart AtriaModels, CardiovascularComputational BiologyComputer SimulationFibrosisHumans

Identifiers

PMID41348925
PMCPMC12680338

What OpenQuestion holds

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Registered trials

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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.