Circulating transthyretin with atrial morpho-functional phenotypes and atrial fibrillation risk, and the modifying role of BMI.

IF 8.3 1区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Nan Zhang, Ziheng Jia, Jinhua Zhao, Xuyao Han, Jie Liu, Gary Tse, Jiandong Zhou, Kang-Yin Chen, Gregory Y H Lip, Tong Liu
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引用次数: 0

Abstract

Background: Low circulating transthyretin (TTR) concentration has been suggested as a biomarker of transthyretin tetramer instability, a prerequisite for the development of transthyretin cardiac amyloidosis. This study aimed to evaluate the associations between circulating TTR levels with incident atrial fibrillation (AF) and other arrhythmias.

Methods: This study used data from the UK Biobank. Participants with available TTR data and without prior arrhythmias were included. The primary outcome was new-onset AF. The secondary outcomes were new-onset supraventricular arrhythmias (SVA), bradyarrhythmias, cardiac block, and ventricular arrhythmias (VA). Multivariable Cox regression was applied to evaluate the associations between circulating TTR levels with arrhythmia outcomes.

Results: A total of 40,723 participants (mean age 56.7 ± 8.2 years; 55% women) were included. After adjusting for potential confounders, one standard deviation (SD) decrease in TTR levels was associated with an increased risk of incident AF (HR 1.06, 95% CI 1.02-1.11). Furthermore, significant associations between low TTR with atrial structural remodeling were observed, manifesting as increased left atrial volume index (β 0.51, 95% CI 0.09-0.92) and right atrial volume index (β 0.87, 95% CI 0.39-1.40). In addition, there was a significant association between lower TTR levels with higher incident SVA risk, but not for bradyarrhythmias, cardiac block, or VA. A consistently significant interaction effect was identified between TTR levels and BMI for the risk of AF, SVA, bradyarrhythmias, and cardiac block (all Pinteraction < 0.05), with lower TTR levels being significantly associated with a higher risk of AF (HR 1.15, 95% CI 1.06-1.26), SVA (HR 1.15, 95% CI 1.06-1.25), bradyarrhythmias (HR 1.17, 95% CI 1.05-1.30), and cardiac block (HR 1.15, 95% CI 1.02-1.29) among individuals with a BMI < 25 kg/m2. In addition, carriers of likely pathogenic or pathogenic TTR variants (LP/P) had lower levels of plasma TTR compared with noncarriers, as well as higher arrhythmia risks, especially for non-Val142Ile carriers.

Conclusions: Lower circulating TTR concentrations were associated with higher risk of incident AF. Exposure to low TTR and low BMI may be associated with a higher risk of AF, SVA, bradyarrhythmias, and cardiac block.

循环甲状腺素与心房形态功能表型和房颤风险的关系,以及BMI的调节作用。
背景:低循环转甲状腺素(TTR)浓度被认为是转甲状腺素四聚体不稳定性的生物标志物,是转甲状腺素心脏淀粉样变性的先决条件。本研究旨在评估循环TTR水平与房颤(AF)和其他心律失常之间的关系。方法:本研究使用来自UK Biobank的数据。有可用TTR数据且无既往心律失常的参与者被纳入研究。主要结局是新发房颤。次要结局是新发室上性心律失常(SVA)、慢速心律失常、心脏传导阻滞和室性心律失常(VA)。应用多变量Cox回归评估循环TTR水平与心律失常结局之间的关系。结果:共纳入40,723名参与者(平均年龄56.7±8.2岁,其中55%为女性)。在调整潜在混杂因素后,TTR水平的一个标准差(SD)降低与AF事件风险增加相关(HR 1.06, 95% CI 1.02-1.11)。此外,低TTR与心房结构重构之间存在显著相关性,表现为左心房容积指数(β 0.51, 95% CI 0.09-0.92)和右心房容积指数(β 0.87, 95% CI 0.39-1.40)升高。此外,较低的TTR水平与较高的SVA事件风险之间存在显著关联,但与慢速心律失常、心脏传导阻滞或VA无关。TTR水平与BMI之间在AF、SVA、慢速心律失常和心脏传导阻滞风险之间存在持续显著的相互作用(均为p相互作用2)。此外,可能致病性或致病性TTR变异(LP/P)的携带者与非携带者相比,血浆TTR水平较低,心律失常风险较高,特别是对于非val142ile携带者。结论:较低的循环TTR浓度与AF事件的高风险相关。暴露于低TTR和低BMI可能与AF、SVA、慢速心律失常和心脏传导阻滞的高风险相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Medicine
BMC Medicine 医学-医学:内科
CiteScore
13.10
自引率
1.10%
发文量
435
审稿时长
4-8 weeks
期刊介绍: BMC Medicine is an open access, transparent peer-reviewed general medical journal. It is the flagship journal of the BMC series and publishes outstanding and influential research in various areas including clinical practice, translational medicine, medical and health advances, public health, global health, policy, and general topics of interest to the biomedical and sociomedical professional communities. In addition to research articles, the journal also publishes stimulating debates, reviews, unique forum articles, and concise tutorials. All articles published in BMC Medicine are included in various databases such as Biological Abstracts, BIOSIS, CAS, Citebase, Current contents, DOAJ, Embase, MEDLINE, PubMed, Science Citation Index Expanded, OAIster, SCImago, Scopus, SOCOLAR, and Zetoc.
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