Evidence map›Paper›PMID 40885813›Full record

ArticleScientific reports2025

A multi-scale finite element method for investigating fiber remodeling in hypertrophic cardiomyopathy.

Mohammad Mehri, Kenneth S Campbell, Lik Chuan Lee, Jonathan F Wenk

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Mohammad MehriDepartment of Mechanical and Aerospace Engineering, University of Kentucky, Lexington, KY, USA.
Kenneth S CampbellDivision of Cardiovascular Medicine, Department of Physiology, University of Kentucky, Lexington, KY, USA.
Lik Chuan LeeDepartment of Mechanical Engineering, Michigan State University, East Lansing, MI, USA.
Jonathan F WenkDepartment of Mechanical and Aerospace Engineering, University of Kentucky, Lexington, KY, USA. jonathan.wenk@uky.edu.

Funding

Data-driven optimization of therapy for heart failureR01HL163977 · NHLBI · UNIVERSITY OF KENTUCKY · PI CAMPBELL, KENNETH S, LEE, LIK CHUAN · 2022 to 2025
$2.4M
National Science Foundation IIS-2406028NHLBI NIH HHS R01 HL163977
6 · The paper itself

Abstract

A significant hallmark of hypertrophic cardiomyopathy (HCM) is fiber disarray, which is associated with various cardiac events such as heart failure. Quantifying fiber disarray remains critical for understanding the disease's complex pathophysiology. This study investigates the role of heterogeneous HCM-induced cellular abnormalities in the development of fiber disarray and their subsequent impact on cardiac pumping function. Fiber disarray is predicted using a stress-based law to reorient myofibers and collagen within a multiscale finite element cardiac modeling framework, MyoFE. Specifically, the model is used to quantify the distinct impacts of heterogeneous distributions of hypercontractility, hypocontractility, and fibrosis on fiber disarray development and examines their effect on functional characteristics of the heart. Our results show that heterogenous cell level abnormalities highly disrupt the normal mechanics of myocardium and lead to significant fiber disarray. The pattern of disarray varies depending on the specific perturbation, offering valuable insights into the progression of HCM. Despite the random distribution of perturbed regions within the cardiac muscle, significantly higher fiber disarray is observed near the epicardium compared to the endocardium across all perturbed left ventricle (LV) models. This regional difference in fiber disarray, irrespective of perturbation severity, aligns with previous DT-MRI studies, highlighting the role of regional myocardial mechanics in the development of fiber disarray. Furthermore, cardiac performance declined in the remodeled LVs, particularly in those with fibrosis and hypocontractility. These findings provide important insights into the structural and functional consequences of HCM and offer a framework for future investigations into therapeutic interventions targeting cardiac remodeling.

Indexed as

Cardiomyopathy, HypertrophicFinite Element AnalysisModels, CardiovascularVentricular RemodelingFibrosisHeart VentriclesHumansMyocardiumCardiac mechanicsFiber remodelingFinite element modelingHCMMultiscale modeling

Identifiers

PMID40885813
PMCPMC12398582

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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.