Dipartimento ad attività integrata Cardiovascolare e Toracico, Unità operativa di Cardiologia, Università di Verona, Verona, Italia.
Published: May 2012
AI Article Synopsis
Article Abstract
Aim: It was the aim of our study to determine whether myocardial fibrosis influences physiologic or non-physiologic left ventricular (LV) hypertrophy in severe aortic stenosis.
Methods: Myocardial fibrosis was evaluated using specimens taken from the ventricular septum in 79 patients submitted to aortic valve replacement because of symptomatic aortic stenosis. Patients were considered to have physiologic LV hypertrophy if end-systolic wall stress, evaluated by echocardiography, was <90 kdyn/cm(2), while those with end-systolic wall stress >90 kdyn/cm(2) were considered to have non-physiologic hypertrophy.
Results: Fibrosis tissue mass index was significantly inversely related with LV fractional shortening and directly related with LV diastolic and systolic diameter and LV mass index (LVMI). Patients with non-physiologic hypertrophy (n = 24) had a higher LVMI due to larger LV diastolic and systolic diameters with thinner wall, resulting in lower relative wall thickness. These patients had a higher fibrosis tissue mass index and impaired LV systolic and diastolic functions, as suggested by lower LV fractional shortening and higher mean wedge pressure. At follow-up of 7.4 ± 2.1 months, the LVMI and New York Heart Association class remained higher in patients with non-physiologic hypertrophy.
Conclusions: Our study suggests a different quality of hypertrophies in patients with aortic stenosis, where myocardial fibrosis seems to be the critical abnormality that differentiates adaptive from maladaptive response to increased afterload.
To investigate the promoting effect of extracellular vesicles derived from myocardial cells (CM-EVs) on the reprogramming of cardiac fibroblasts (CFs) into cardiomyocyte-like cells (iCMs) and their therapeutic effect on myocardial infarction (MI) in rats. Cell experiments: The differential adhesion method was used to obtain Sprague Dawley (SD) suckling rat CFs and cardiomyocytes (CMs), while the ultracentrifugation method was used to obtain CM-EVs. Transmission electron microscopy and nanoparticle tracking technology were used to analyze and determine the morphology and particle size of CM-EVs.
Background: Cardiac macrophages are a heterogeneous population with high plasticity and adaptability, and their mechanisms in heart failure (HF) remain poorly elucidated.
Methods: We used single-cell and bulk RNA sequencing data to reveal the heterogeneity of non-cardiomyocytes and assess the immunoreactivity of each subpopulation. Additionally, we employed four integrated machine learning algorithms to identify macrophage-related genes with diagnostic value, and in vivo validation was performed.
Heart failure (HF) syndrome is of great interest as an emerging epidemic. Due to the increasing elderly population worldwide, the total number of HF patients is increasing every day. This disease places a significant economic burden on the healthcare and treatment systems of developing societies, and this situation is very concerning.
Bromodomain and extra-terminal domain (BET) proteins, including BRD4, bind acetylated chromatin and co-activate gene transcription. A BET inhibitor, JQ1, prevents and reverses pathological cardiac remodeling in preclinical models of heart failure. However, the underlying cellular mechanisms by which JQ1 improves cardiac structure and function remain poorly defined.
