A Novel Morphological Classification to Guide Transcatheter Mitral Valve Edge-to-Edge Repair for Commissural Mitral Regurgitation.

Background: Mitral commissural prolapse poses significant anatomical challenges that can hinder the effectiveness of transcatheter edge-to-edge repair (TEER).

Objectives: The aim of this study was to estimate the safety and effectiveness of applying a novel morphological classification to guide TEER in patients with commissural degenerative mitral regurgitation (DMR).

Methods: In this prospective, multicenter study across 18 centers in China, we classified patients with severe commissural DMR into 4 morphological types through detailed echocardiographic analysis.

Biomimetic multilayered polymeric heart valve featuring ultra-thin thickness and exceptional durability.

The transcatheter aortic valve replacement technique has rapidly developed in clinical practice, with its indications expanding to low-risk populations and younger patients. The durability of valve materials has emerged as a critical requirement from a clinical perspective and a research focus in interventional valves. Polymeric heart valves exhibit a promising future because of their enhanced durability and reduced cost.

Differential expression profiles and functional analysis of long non-coding RNAs in calcific aortic valve disease.

Aim: To evaluate the expression profile of long non-coding RNAs (lncRNAs) in calcific aortic valve disease (CAVD) and explore their potential mechanism of action.

Methods: The gene expression profiles (GSE153555, GSE148219, GSE199718) were downloaded from the Gene Expression Omnibus (GEO) database and FastQC was run for quality control checks. After filtering and classifying candidate lncRNAs by differentially expressed genes (DEGs) and weighted co-expression networks (WGCNA) in GSE153555, we predicted the potential cis- or trans-regulatory target genes of differentially expressed lncRNAs (DELs) by using FEELnc and established the competitive endogenous RNA (ceRNA) network by miRanda, more over functional enrichment was analyzed using the ClusterProfiler package in R Bioconductor.