ArticleAmerican journal of physiology. Heart and circulatory physiology2024
Computational model captures cardiac growth in hypertensive pregnancies and in the postpartum period.
Article in American journal of physiology. Heart and circulatory physiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Mechanistic Insights into the Antihypertensive and Cardioprotective Actions of Corosolic Acid: A Narrative Review.Molecules (Basel, Switzerland) · 2026Review
- Computational modeling identifies protective mechanisms of estrogen and testosterone against atrial fibrosis.American journal of physiology. Heart and circulatory physiology · 2026Article
- Modeling the interplay of sex hormones in cardiac hypertrophic signaling.PLoS computational biology · 2025Article
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2 authors.
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Abstract
Heart growth in the pregnant patient helps maintain cardiovascular function while supporting the growing fetus. However, in some cases, the cardiovascular demand of pregnancy can trigger life-threatening conditions, including hypertensive disorders of pregnancy and peripartum cardiomyopathy. The mechanisms that control heart growth throughout pregnancy are unclear, and treating these diseases remains elusive. We previously developed a computational model that accounts for hormonal and hemodynamic interactions throughout pregnancy and demonstrated its ability to capture realistic cardiac growth in normal rat pregnancy. In this study, we evaluated whether this model could capture heart growth beyond normal pregnancy. After further validation of our normal pregnancy predictions, we tested our model predictions of three rat studies of hypertensive pregnancies. We next simulated the postpartum period and examined the impact of lactation on cardiac growth in rats. We demonstrate that our multiscale model can capture cardiac growth associated with new-onset hypertension during pregnancy and lactation status in the postpartum period. We conclude by elaborating on the potential clinical utility of our model in the future.
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