Suppr超能文献

Tic-Tac:心房颤动患者与不规则心跳和窦性节律恢复相关的机制的转化方法。

Tic-Tac: A Translational Approach in Mechanisms Associated with Irregular Heartbeat and Sinus Rhythm Restoration in Atrial Fibrillation Patients.

机构信息

Critical Care Unit, Department of Medicine, Hospital Clínico Universidad de Chile, Santiago 8380420, Chile.

Cardiovascular Department, Hospital Clínico Universidad de Chile, Santiago 8380420, Chile.

出版信息

Int J Mol Sci. 2023 Aug 16;24(16):12859. doi: 10.3390/ijms241612859.

Abstract

Atrial fibrillation (AF) is a prevalent cardiac condition predominantly affecting older adults, characterized by irregular heartbeat rhythm. The condition often leads to significant disability and increased mortality rates. Traditionally, two therapeutic strategies have been employed for its treatment: heart rate control and rhythm control. Recent clinical studies have emphasized the critical role of early restoration of sinus rhythm in improving patient outcomes. The persistence of the irregular rhythm allows for the progression and structural remodeling of the atria, eventually leading to irreversible stages, as observed clinically when AF becomes permanent. Cardioversion to sinus rhythm alters this progression pattern through mechanisms that are still being studied. In this review, we provide an in-depth analysis of the pathophysiological mechanisms responsible for maintaining AF and how they are modified during sinus rhythm restoration using existing therapeutic strategies at different stages of clinical investigation. Moreover, we explore potential future therapeutic approaches, including the promising prospect of gene therapy.

摘要

心房颤动(AF)是一种常见的心脏疾病,主要影响老年人,其特征是心跳节律不规则。该病症通常导致显著的残疾和更高的死亡率。传统上,有两种治疗策略被用于其治疗:心率控制和节律控制。最近的临床研究强调了早期恢复窦性心律对改善患者预后的关键作用。不规则节律的持续存在允许心房的进行性和结构重塑,最终导致不可逆阶段,正如临床上观察到的当 AF 变为永久性时那样。窦性节律的转复通过仍在研究中的机制改变了这种进展模式。在这篇综述中,我们深入分析了维持 AF 的病理生理机制,以及在不同临床研究阶段使用现有的治疗策略时,这些机制在恢复窦性节律时是如何被改变的。此外,我们探讨了潜在的未来治疗方法,包括基因治疗这一有前途的前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d239/10454641/d63a0c4f5466/ijms-24-12859-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验