Ultrasound‐based haemodynamic force trajectories in a murine model of reversible pressure overload
Abstract
Haemodynamic forces (HDF) quantify intraventricular pressure gradients as integrated vectors derived from myocardial motion and blood flow, providing a sensitive marker of left ventricular (LV) remodelling beyond conventional metrics such as ejection fraction or strain. Although HDF analysis has been clinically validated in heart failure, it remains underexplored in preclinical models. To determine whether HDF metrics derived from high‐resolution murine echocardiography can sensitively track cardiac dysfunction and predict functional recovery, male mice ( n = 8) underwent serial echocardiography at baseline, after transverse aortic constriction (TAC) and 4 weeks after aortic debanding (deTAC). LV function and interval‐specific HDF components were quantified, including longitudinal and transverse forces over predefined systolic and diastolic windows. Longitudinal interval‐based parameters emerged as sensitive, integrative markers of LV dysfunction after TAC and deTAC. Notably, a novel exploratory waveform, early‐to‐late systolic impulse longitudinal HDF ratio, showed the strongest associations with pressure overload and subsequent functional recovery (baseline vs . TAC: P < 0.001; TAC vs . deTAC: P = 0.003; baseline vs . deTAC: P = 0.049). By contrast, diastolic HDF indices, including the previously proposed longitudinal e‑wave ratio, did not significantly differentiate between time points. Transverse HDF over the systolic impulse interval further demonstrated potential for predicting post‑surgical recovery following unloading. These findings support systolic HDF metrics, particularly longitudinal and transverse interval‑based parameters, as sensitive integrative markers of LV dysfunction and reverse remodelling in preclinical pressure‑overload models, and highlight their translational relevance for echocardiography‑based HDF analysis. image Key points Haemodynamic force (HDF) analyses evaluate intraventricular pressure gradients as integrated vectors of myocardial motion and blood flow, providing complementary markers of pump (in)efficiency beyond ejection fraction or strain. High‐resolution murine echocardiography enables robust derivation of interval‐specific HDF metrics. Systolic HDF metrics, particularly transverse components during impulse intervals, showed potential for predictive power correlating with cardiac recovery. Systolic HDF reflect key changes in force generation and intraventricular flow during pressure overload, allowing early detection of maladaptive remodelling and treatment response, with translational potential for non‐invasive risk stratification in aortic stenosis patients.
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BibTeX
@article{day2026ultrasoundbased,
title = {{Ultrasound‐based haemodynamic force trajectories in a murine model of reversible pressure overload}},
author = {Peyton Day and Thomas Moore-Morris and Craig Goergen and Pierre Sicard},
journal = {The Journal of Physiology},
year = {2026},
month = jul,
doi = {10.1113/jp290877},
url = {https://hal.science/hal-05704204v2},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Ultrasound‐based haemodynamic force trajectories in a murine model of reversible pressure overload
AU - Peyton Day
AU - Thomas Moore-Morris
AU - Craig Goergen
AU - Pierre Sicard
PY - 2026
DA - 2026/07/23
JO - The Journal of Physiology
DO - 10.1113/jp290877
UR - https://hal.science/hal-05704204v2
AB - Haemodynamic forces (HDF) quantify intraventricular pressure gradients as integrated vectors derived from myocardial motion and blood flow, providing a sensitive marker of left ventricular (LV) remodelling beyond conventional metrics such as ejection fraction or strain. Although HDF analysis has been clinically validated in heart failure, it remains underexplored in preclinical models. To determine whether HDF metrics derived from high‐resolution murine echocardiography can sensitively track cardiac dysfunction and predict functional recovery, male mice ( n = 8) underwent serial echocardiography at baseline, after transverse aortic constriction (TAC) and 4 weeks after aortic debanding (deTAC). LV function and interval‐specific HDF components were quantified, including longitudinal and transverse forces over predefined systolic and diastolic windows. Longitudinal interval‐based parameters emerged as sensitive, integrative markers of LV dysfunction after TAC and deTAC. Notably, a novel exploratory waveform, early‐to‐late systolic impulse longitudinal HDF ratio, showed the strongest associations with pressure overload and subsequent functional recovery (baseline vs . TAC: P < 0.001; TAC vs . deTAC: P = 0.003; baseline vs . deTAC: P = 0.049). By contrast, diastolic HDF indices, including the previously proposed longitudinal e‑wave ratio, did not significantly differentiate between time points. Transverse HDF over the systolic impulse interval further demonstrated potential for predicting post‑surgical recovery following unloading. These findings support systolic HDF metrics, particularly longitudinal and transverse interval‑based parameters, as sensitive integrative markers of LV dysfunction and reverse remodelling in preclinical pressure‑overload models, and highlight their translational relevance for echocardiography‑based HDF analysis. image Key points Haemodynamic force (HDF) analyses evaluate intraventricular pressure gradients as integrated vectors of myocardial motion and blood flow, providing complementary markers of pump (in)efficiency beyond ejection fraction or strain. High‐resolution murine echocardiography enables robust derivation of interval‐specific HDF metrics. Systolic HDF metrics, particularly transverse components during impulse intervals, showed potential for predictive power correlating with cardiac recovery. Systolic HDF reflect key changes in force generation and intraventricular flow during pressure overload, allowing early detection of maladaptive remodelling and treatment response, with translational potential for non‐invasive risk stratification in aortic stenosis patients.
SN - 0022-3751
SN - 1469-7793
ER -