ArticleActa physiologica (Oxford, England)2026
Addressing Key Limitations of Diastolic Function Assessment in Mouse Echocardiography by Enabling Robust Retrospective Analysis From a Standard Imaging View.
Article in Acta physiologica (Oxford, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
aimEchocardiographic assessment of diastolic function in mice remains challenging because parameters translated from clinical practice are constrained by murine physiology. In particular, parameters derived from early (E) and late (A) transmitral filling velocities are frequently compromised by wave fusion at higher heart rates. Here, we quantified these limitations and evaluated an alternative method for measuring isovolumetric relaxation time (IVRT), a marker reflecting ventricular relaxation and a key element of established algorithms specific for murine diastolic function assessment.
methodsIn a non-A4C-view-dependent echocardiographic measurement (NAEM) approach, speckle-tracking analysis of standard brightness-mode (B-mode) cine loops from the parasternal long-axis view (PSLAX) enabled E/A ratio and IVRT assessment. Mice with unimpaired heart function, heart failure with preserved ejection fraction (HFpEF), or heart failure with reduced ejection fraction (HFrEF) (n = 8 each) underwent standard Doppler-based and NAEM-based measurement of E/A ratio and IVRT.
resultsIn mice with unimpaired heart function and HFpEF, heart rate-dependent E and A wave fusion occurred at an estimated threshold of approximately 460 bpm, whereas advanced HFrEF led to frequent fusion independent of heart rate. NAEM-derived IVRT showed strong agreement with the Doppler reference (r
conclusionThese findings further support the shift toward specific algorithms for diastolic function assessment in murine echocardiography. The validated NAEM approach supports application of such protocols without dedicated Doppler recordings by using PSLAX B-mode cine loops, thereby lowering technical barriers for future studies and enabling robust retrospective analysis of existing datasets.
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