Modulatory role of coronary flow in aortic valve hemodynamics: A fluid–structure interaction study

Aortic valve stenosis has a high complication rate with coronary artery disease, and angina due to coronary ischemia often resolves rapidly after aortic valve replacement. These clinical observations suggest a close anatomical and physiological connection between aortic valve function and coronary arteries, but the mechanism of mechanical coupling between them is still not fully recognized. Based on high-resolution fluid–structure interaction simulations, we systematically evaluate the modulation mechanisms of coronary drainage on leaflet motion and downstream turbulent structures. Results demonstrate that the coronary arteries are not simply passive anatomical features but also act as active hemodynamic modulators. Coronary flow markedly alters the spatiotemporal evolution of vortex structures within the sinus, suppresses the energy spectrum amplitude at low wavenumbers to stabilize the jet core, and reduces global entropy by approximately 10%. Leaflet flutter characteristics migrated from low-frequency high-amplitude to high-frequency low-amplitude, suggesting an underlying bioprotective mechanism. The comprehensive evaluation of relevant hemodynamic metrics indicated that neglecting coronary arteries in numerical simulations may lead to systematic misinterpretation. These findings emphasize that coronary flow not only facilitates myocardial perfusion but also plays a critical role in regulating local valvular hemodynamics, with potential implications for prosthetic design and patient-specific modeling.

Authors

Institutions

Publication Details

Journal
Physics of Fluids
Published
2025-09-01
DOI
https://doi.org/10.1063/5.0291241
Primary Topic
Cardiac Valve Diseases and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modulatory role of coronary flow in aortic valve hemodynamics: A fluid–structure interaction study

Daochun Li, Yongkang Li, Peng Shu, Jinwu Xiang et al.
Physics of Fluids
Cardiac Valve Diseases and Treatments
article

Modulatory role of coronary flow in aortic valve hemodynamics: A fluid–structure interaction study

Daochun Li, Yongkang Li, Peng Shu, Jinwu Xiang, Shiwei Zhao, Rui Lv
article en

Abstract

Aortic valve stenosis has a high complication rate with coronary artery disease, and angina due to coronary ischemia often resolves rapidly after aortic valve replacement. These clinical observations suggest a close anatomical and physiological connection between aortic valve function and coronary arteries, but the mechanism of mechanical coupling between them is still not fully recognized. Based on high-resolution fluid–structure interaction simulations, we systematically evaluate the modulation mechanisms of coronary drainage on leaflet motion and downstream turbulent structures. Results demonstrate that the coronary arteries are not simply passive anatomical features but also act as active hemodynamic modulators. Coronary flow markedly alters the spatiotemporal evolution of vortex structures within the sinus, suppresses the energy spectrum amplitude at low wavenumbers to stabilize the jet core, and reduces global entropy by approximately 10%. Leaflet flutter characteristics migrated from low-frequency high-amplitude to high-frequency low-amplitude, suggesting an underlying bioprotective mechanism. The comprehensive evaluation of relevant hemodynamic metrics indicated that neglecting coronary arteries in numerical simulations may lead to systematic misinterpretation. These findings emphasize that coronary flow not only facilitates myocardial perfusion but also plays a critical role in regulating local valvular hemodynamics, with potential implications for prosthetic design and patient-specific modeling.

Physics of FluidsVol. 37(9)
Beihang University (CN)
Openalex Percentile: Top 62%
Cardiac Valve Diseases and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.