Evidence map›Paper›PMID 37482576›Full record

ArticleBiomechanics and modeling in mechanobiology2023

A homogenized constrained mixture model of cardiac growth and remodeling: analyzing mechanobiological stability and reversal.

Amadeus M Gebauer, Martin R Pfaller, Fabian A Braeu, Christian J Cyron, Wolfgang A Wall

Abstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. A modelling study of right ventricular growth with valvular regurgitation.Biomechanics and modeling in mechanobiology · 2026
    Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. FSGe: A fast and strongly-coupled 3D fluid-solid-growth interaction method.Computer methods in applied mechanics and engineering · 2024
    Article
  8. Guidelines for mechanistic modeling and analysis in cardiovascular research.American journal of physiology. Heart and circulatory physiology · 2024
    Review
  9. Article
  10. Review
  11. A Fluid-Solid-Growth Solver for Cardiovascular Modeling.Computer methods in applied mechanics and engineering · 2023
    Article
  12. Review
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

5 authors.

Amadeus M GebauerInstitute for Computational Mechanics, Technical University of Munich, 85748, Garching, Germany. amadeus.gebauer@tum.de.
Martin R PfallerPediatric Cardiology, Stanford Maternal & Child Health Research Institute, and Institute for Computational and Mathematical Engineering, Stanford University, Stanford, USA.
Fabian A BraeuOphthalmic Engineering & Innovation Laboratory, Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
Christian J CyronInstitute of Continuum and Material Mechanics, Hamburg University of Technology, 21073, Hamburg, Germany.
Wolfgang A WallInstitute for Computational Mechanics, Technical University of Munich, 85748, Garching, Germany.

Funding

Computational Stability Analysis to Predict Heart Failure after Myocardial InfarctionR00HL161313 · NHLBI · YALE UNIVERSITY · PI Martin R Pfaller · 2024 to 2026
$747k
Computational Stability Analysis to Predict Heart Failure after Myocardial InfarctionK99HL161313 · NHLBI · STANFORD UNIVERSITY · PI PFALLER, MARTIN R · 2022 to 2023
$324k
NHLBI NIH HHS K99 HL161313NHLBI NIH HHS K99HL161313NHLBI NIH HHS R00 HL161313
6 · The paper itself

Abstract

Cardiac growth and remodeling (G&R) patterns change ventricular size, shape, and function both globally and locally. Biomechanical, neurohormonal, and genetic stimuli drive these patterns through changes in myocyte dimension and fibrosis. We propose a novel microstructure-motivated model that predicts organ-scale G&R in the heart based on the homogenized constrained mixture theory. Previous models, based on the kinematic growth theory, reproduced consequences of G&R in bulk myocardial tissue by prescribing the direction and extent of growth but neglected underlying cellular mechanisms. In our model, the direction and extent of G&R emerge naturally from intra- and extracellular turnover processes in myocardial tissue constituents and their preferred homeostatic stretch state. We additionally propose a method to obtain a mechanobiologically equilibrated reference configuration. We test our model on an idealized 3D left ventricular geometry and demonstrate that our model aims to maintain tensional homeostasis in hypertension conditions. In a stability map, we identify regions of stable and unstable G&R from an identical parameter set with varying systolic pressures and growth factors. Furthermore, we show the extent of G&R reversal after returning the systolic pressure to baseline following stage 1 and 2 hypertension. A realistic model of organ-scale cardiac G&R has the potential to identify patients at risk of heart failure, enable personalized cardiac therapies, and facilitate the optimal design of medical devices.

Indexed as

Heart FailureHypertensionHeartHumansMyocardiumOrganogenesisVentricular RemodelingCardiac growth and remodelingComputational modelingHomogenized constrained mixture modelHypertensionMechanobiology

Identifiers

PMID37482576
PMCPMC10613155

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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.