Sign in
PhysiologyActa Physiologica
Peer-reviewed journal article

Left Atrial Strain as a Predictor of Cardiac Dysfunction in a Murine Model of Pressure Overload

John P. SalvasiD, Thomas Moore‐MorrisiD, Craig J. GoergeniD, Pierre SicardiD

Abstract

AimLeft atrial (LA) strain is emerging as a valuable metric for evaluating cardiac function, particularly under pathological conditions such as pressure overload. This preclinical study investigates the predictive utility of LA strain on cardiac function in a murine model subjected to pressure overload, mimicking pathologies such as hypertension and aortic stenosis. MethodsHigh resolution ultrasound was performed in a cohort of mice (n=16) to evaluate left atrial and left ventricular function at baseline and 2- and 4-weeks after transverse aortic constriction (TAC). Acute adaptations in cardiac function were assessed in a subgroup of mice (n=10) with 3-days post TAC imaging. ResultsWe report an increase in LA max volume from 11.0 {+/-} 4.3{micro}L at baseline to 26.7 {+/-} 16.7{micro}L at 4 weeks (p=0.002) and a decrease in LA strain from 19.6 {+/-} 4.8% at baseline to 10.1 {+/-} 6.3% at 4 weeks (p=0.006). In the acute phase, LA strain dysfunction was present at 3-days (p<0.001) prior to alterations in LA volume (p=0.856) or left ventricular (LV) ejection fraction (p=0.120). LA strain correlated with key indicators of cardiac performance including left ventricular (LV) ejection fraction (r=0.563, p<0.001), longitudinal strain (r=-0.643, p<0.001) and strain rate (r=0.387, p=0.007). Furthermore, markers of atrial structure and function including LA max volume (AUC=0.858, p<0.001), ejection fraction (AUC=0.901 p<0.001), and strain (AUC=0.878, p<0.001) all predicted LV dysfunction. ConclusionLA strain and function assessments provide a reliable, non-invasive method for early detection and prediction of cardiac dysfunction in a model of pressure overload.

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISDay '26Ghajar-Rahi '26Ghajar-Rahi '26Yigamawano '26Sturgill '25Offei '26
76% semantic matchPhysiology
Peyton Day, Thomas Moore‐Morris, Craig J. Goergen+1 more·Archives of cardiovascular diseases·May 25, 2026