ArticleJournal of molecular and cellular cardiology2018
Network-based predictions of in vivo cardiac hypertrophy.
Article in Journal of molecular and cellular cardiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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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.
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Who cites it
21 citing papers in PubMed.
- 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
- Single-cell dynamics reveal a stress-induced decision between hypertrophy and apoptosis in neonatal rat cardiomyocytes.Journal of molecular and cellular cardiology plus · 2025Article
- Modeling the interplay of sex hormones in cardiac hypertrophic signaling.PLoS computational biology · 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
- Logic-based modeling of biological networks with Netflux.PLoS computational biology · 2025Article
- Logic-based machine learning predicts how escitalopram attenuates cardiomyocyte hypertrophy.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Global Sensitivity Analysis of a Novel Signaling Network for Heart Growth With Local IGF1 Production.International journal for numerical methods in biomedical engineering · 2025Article
- Synergistic biophysics and machine learning modeling to rapidly predict cardiac growth probability.Computers in biology and medicine · 2025Article
- Synergistic Biophysics and Machine Learning Modeling to Rapidly Predict Cardiac Growth Probability.bioRxiv : the preprint server for biology · 2024Article
- Computational model captures cardiac growth in hypertensive pregnancies and in the postpartum period.American journal of physiology. Heart and circulatory physiology · 2024Article
- Virtual drug screen reveals context-dependent inhibition of cardiomyocyte hypertrophy.British journal of pharmacology · 2023Article
- Review
- Bayesian calibration of a computational model of tissue expansion based on a porcine animal model.Acta biomaterialia · 2022Article
- Emerging therapeutic targets for cardiac hypertrophy.Expert opinion on therapeutic targets · 2022Review
- Multiscale simulations of left ventricular growth and remodeling.Biophysical reviews · 2021Review
- Computational model of cardiomyocyte apoptosis identifies mechanisms of tyrosine kinase inhibitor-induced cardiotoxicity.Journal of molecular and cellular cardiology · 2021Article
- Network model-based screen for FDA-approved drugs affecting cardiac fibrosis.CPT: pharmacometrics & systems pharmacology · 2021Article
- Computational models of cardiac hypertrophy.Progress in biophysics and molecular biology · 2021Review
- Context-specific network modeling identifies new crosstalk in β-adrenergic cardiac hypertrophy.PLoS computational biology · 2020Article
- Computational model predicts paracrine and intracellular drivers of fibroblast phenotype after myocardial infarction.Matrix biology : journal of the International Society for Matrix Biology · 2020Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Cardiac hypertrophy is a common response of cardiac myocytes to stress and a predictor of heart failure. While in vitro cell culture studies have identified numerous molecular mechanisms driving hypertrophy, it is unclear to what extent these mechanisms can be integrated into a consistent framework predictive of in vivo phenotypes. To address this question, we investigate the degree to which an in vitro-based, manually curated computational model of the hypertrophy signaling network is able to predict in vivo hypertrophy of 52 cardiac-specific transgenic mice. After minor revisions motivated by in vivo literature, the model concordantly predicts the qualitative responses of 78% of output species and 69% of signaling intermediates within the network model. Analysis of four double-transgenic mouse models reveals that the computational model robustly predicts hypertrophic responses in mice subjected to multiple, simultaneous perturbations. Thus the model provides a framework with which to mechanistically integrate data from multiple laboratories and experimental systems to predict molecular regulation of cardiac hypertrophy.
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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.