The pathological remodeling of myocardial tissue is the main cause of heart diseases. Several processes are involved in the onset of heart failure, and the comprehension of the mechanisms underlying the pathological phenotype deserves special attention to find novel procedures to identify the site of injury and develop novel strategies, as well as molecular druggable pathways, to counteract the high degree of morbidity associated with it. Myocardial fibrosis (MF) is recognized as a critical trigger for disruption of heart functionality due to the excessive accumulation of extracellular matrix proteins, in response to an injury. Its diagnosis remains focalized on invasive techniques, such as endomyocardial biopsy (EMB), or may be noninvasively detected by cardiac magnetic resonance imaging (CMRI). The detection of MF by non-canonical markers remains a challenge in clinical practice. During the last two decades, two-dimensional (2D) speckle tracking echocardiography (STE) has emerged as a new non-invasive imaging modality, able to detect myocardial tissue abnormalities without specifying the causes of the underlying histopathological changes. In this review, we highlighted the clinical utility of 2D-STE deformation imaging for tissue characterization, and its main technical limitations and criticisms. Moreover, we focalized on the importance of coupling 2D-STE examination with the molecular approaches in the clinical decision-making processes, in particular when the 2D-STE does not reflect myocardial dysfunction directly. We also attempted to examine the roles of epigenetic markers of MF and hypothesized microRNA-based mechanisms aiming to understand how they match with the clinical utility of echocardiographic deformation imaging for tissue characterization and MF assessment.

Background: Over the last two decades, a fair number of echocardiographic studies have investigated the influence of metabolic dysfunction-associated steatotic liver disease (MASLD) on myocardial strain and strain rate parameters assessed by speckle tracking echocardiography (STE) in individuals without overt heart disease, reporting not univocal results. We aimed at analyzing the main findings of these studies. Methods: All studies examining conventional echoDoppler parameters by transthoracic echocardiography (TTE) and left ventricular (LV) mechanics [LV-global longitudinal strain (GLS), LV-global strain rate in systole (GSRs), in early diastole (GSRe) and late diastole (GSRl)] by STE in MASLD patients without known heart disease vs. healthy individuals, were searched on PubMed, Embase and Scopus databases. The primary endpoint was to quantify the effect of MASLD on LV-GLS in individuals without overt cardiac disease. Continuous data [LV-GLS, LV-GLSRs, LV-GLSRe, LV-GLSRl and left ventricular ejection fraction (LVEF)] were pooled as the standardized mean difference (SMD) comparing MASLD cohorts with healthy controls. Results: A total of 11 studies were included, totaling 1348 MASLD patients and 6098 healthy controls. Overall, MASLD showed a medium effect on LV-GLS (SMD −0.6894; 95%CI −0.895, −0.472, p < 0.001) and LV-GLSRs (SMD −0.753; 95%CI −1.501, −0.006, p = 0.048), a large effect on LV-GLSRe (SMD −0.837; 95%CI −1.662, −0.012, p = 0.047) and a small and not statistically significant effect on LV-GLSRl (SMD −0.375; 95%CI −1.113, 0.363, p = 0.319) and LVEF (SMD −0.134; 95%CI −0.285, 0.017, p = 0.083). The overall I² statistic was 86.4%, 89.4%, 90.9%, 89.6% and 72.5% for LV-GLS, LV-GLSRs, LV-GLSRe, LV-GLSRl and LVEF studies, respectively, indicating high between-study heterogeneity. Egger’s test for LV-GLS studies gave a p value of 0.11, 0.26, 0.40, 0.32 and 0.42 for LV-GLS, LV-GLSRs, LV-GLSRe, LV-GLSRl and LVEF studies, respectively, thus excluding publication bias. Meta-regression analysis excluded any correlation between potential confounders and LV-GLS in MASLD individuals (all p > 0.05). Sensitivity analysis confirmed the robustness of study results. Conclusions: MASLD has a medium effect on LV-GLS, independently of demographics, anthropometrics and the cardiovascular disease burden. STE analysis may allow early detection of subclinical LV systolic dysfunction in MASLD patients, potentially identifying those who may develop heart failure later in life.