ReviewProgress in biophysics and molecular biology2021
Computational models of cardiac hypertrophy.
Review in Progress in biophysics and molecular biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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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.
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.
Who cites it
18 citing papers in PubMed, 31 citations in OpenAlex.
- Multiscale model calibrated with a Bayesian algorithm predicts long-term outcomes of treatments for mitral valve regurgitation in animal models.Biomechanics and modeling in mechanobiology · 2026Article
- HeartSimSage: Attention-Enhanced Graph Neural Networks for Accelerating Cardiac Mechanics Modeling.Journal of computational physics · 2026Article
- Breast cancer susceptibility gene 2 upregulation alleviated cardiac hypertrophy in angiotensin II-treated mice.Biochemistry and biophysics reports · 2026Article
- Modelling maternal cardiovascular adaptation to pregnancy: a scoping review.BMC pregnancy and childbirth · 2025Article
- Contributions of mechanical loading and hormonal changes to eccentric hypertrophy during volume overload: A Bayesian analysis using logic-based network models.PLoS computational biology · 2025Article
- Multiscale Finite Element Modeling of Left Ventricular Growth in Simulations of Valve Disease.Annals of biomedical engineering · 2024Article
- A perfectly imperfect engine: Utilizing the digital twin paradigm in pulmonary hypertension.Pulmonary circulation · 2024Review
- A homogenized constrained mixture model of cardiac growth and remodeling: analyzing mechanobiological stability and reversal.Biomechanics and modeling in mechanobiology · 2023Article
- Advancing clinical translation of cardiac biomechanics models: a comprehensive review, applications and future pathways.Frontiers in physics · 2023Article
- Signaling network model of cardiomyocyte morphological changes in familial cardiomyopathy.Journal of molecular and cellular cardiology · 2023Article
- Human pluripotent stem cell-derived cardiomyocytes align under cyclic strain when guided by cardiac fibroblasts.APL bioengineering · 2022Article
- On modeling the multiscale mechanobiology of soft tissues: Challenges and progress.Biophysics reviews · 2022Review
- Ventricular wall stress and wall shear stress homeostasis predicts cardiac remodeling during pregnancy: A modeling study.International journal for numerical methods in biomedical engineering · 2022Article
- Emerging therapeutic targets for cardiac hypertrophy.Expert opinion on therapeutic targets · 2022Review
- Computational models of ventricular mechanics and adaptation in response to right-ventricular pressure overload.Frontiers in physiology · 2022Review
- Bayesian calibration of a computational model of tissue expansion based on a porcine animal model.Acta biomaterialia · 2022Article
- Passive myocardial mechanical properties: meaning, measurement, models.Biophysical reviews · 2021Review
- Multiscale simulations of left ventricular growth and remodeling.Biophysical reviews · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Cardiac hypertrophy, defined as an increase in mass of the heart, is a complex process driven by simultaneous changes in hemodynamics, mechanical stimuli, and hormonal inputs. It occurs not only during pre- and post-natal development but also in adults in response to exercise, pregnancy, and a range of cardiovascular diseases. One of the most exciting recent developments in the field of cardiac biomechanics is the advent of computational models that are able to accurately predict patterns of heart growth in many of these settings, particularly in cases where changes in mechanical loading of the heart play an import role. These emerging models may soon be capable of making patient-specific growth predictions that can be used to guide clinical interventions. Here, we review the history and current state of cardiac growth models and highlight three main limitations of current approaches with regard to future clinical application: their inability to predict the regression of heart growth after removal of a mechanical overload, inability to account for evolving hemodynamics, and inability to incorporate known growth effects of drugs and hormones on heart growth. Next, we outline growth mechanics approaches used in other fields of biomechanics and highlight some potential lessons for cardiac growth modeling. Finally, we propose a multiscale modeling approach for future studies that blends tissue-level growth models with cell-level signaling models to incorporate the effects of hormones in the context of pregnancy-induced heart growth.
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Registered trials
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.