Cardiovascular Significance and Genetics of Epicardial and Pericardial Adiposity

医学 内科学 心脏病学 心外膜脂肪 脂肪组织
作者
Joel Rämö,Shinwan Kany,Cody R. Hou,Sam Friedman,Carolina Roselli,Victor Nauffal,Satoshi Koyama,Juha Karjalainen,Mahnaz Maddah,Aarno Palotie,Patrick T. Ellinor,James P. Pirruccello
出处
期刊:JAMA Cardiology [American Medical Association]
卷期号:9 (5): 418-418 被引量:33
标识
DOI:10.1001/jamacardio.2024.0080
摘要

Importance Epicardial and pericardial adipose tissue (EPAT) has been associated with cardiovascular diseases such as atrial fibrillation or flutter (AF) and coronary artery disease (CAD), but studies have been limited in sample size or drawn from selected populations. It has been suggested that the association between EPAT and cardiovascular disease could be mediated by local or paracrine effects. Objective To evaluate the association of EPAT with prevalent and incident cardiovascular disease and to elucidate the genetic basis of EPAT in a large population cohort. Design, Setting, and Participants A deep learning model was trained to quantify EPAT area from 4-chamber magnetic resonance images using semantic segmentation. Cross-sectional and prospective cardiovascular disease associations were evaluated, controlling for sex and age. Prospective associations were additionally controlled for abdominal visceral adipose tissue (VAT) volumes. A genome-wide association study was performed, and a polygenic score (PGS) for EPAT was examined in independent FinnGen cohort study participants. Data analyses were conducted from March 2022 to December 2023. Exposures The primary exposures were magnetic resonance imaging–derived continuous measurements of epicardial and pericardial adipose tissue area and visceral adipose tissue volume. Main Outcomes and Measures Prevalent and incident CAD, AF, heart failure (HF), stroke, and type 2 diabetes (T2D). Results After exclusions, this study included 44 475 participants (mean [SD] age, 64.1 [7.7] years; 22 972 female [51.7%]) from the UK Biobank. Cross-sectional and prospective cardiovascular disease associations were evaluated for a mean (SD) of 3.2 (1.5) years of follow-up. Prospective associations were additionally controlled for abdominal VAT volumes for 38 527 participants. A PGS for EPAT was examined in 453 733 independent FinnGen cohort study participants. EPAT was positively associated with male sex (β = +0.78 SD in EPAT; P < 3 × 10 −324 ), age (Pearson r = 0.15; P = 9.3 × 10 −229 ), body mass index (Pearson r = 0.47; P < 3 × 10 −324 ), and VAT (Pearson r = 0.72; P < 3 × 10 −324 ). EPAT was more elevated in prevalent HF (β = +0.46 SD units) and T2D (β = +0.56) than in CAD (β = +0.23) or AF (β = +0.18). EPAT was associated with incident HF (hazard ratio [HR], 1.29 per +1 SD in EPAT; 95% CI, 1.17-1.43), T2D (HR, 1.63; 95% CI, 1.51-1.76), and CAD (HR, 1.19; 95% CI, 1.11-1.28). However, the associations were no longer significant when controlling for VAT. Seven genetic loci were identified for EPAT, implicating transcriptional regulators of adipocyte morphology and brown adipogenesis ( EBF1 , EBF2 , and CEBPA ) and regulators of visceral adiposity ( WARS2 and TRIB2 ). The EPAT PGS was associated with T2D (odds ratio [OR], 1.06; 95% CI, 1.05-1.07; P =3.6 × 10 −44 ), HF (OR, 1.05; 95% CI, 1.04-1.06; P =4.8 × 10 −15 ), CAD (OR, 1.04; 95% CI, 1.03-1.05; P =1.4 × 10 −17 ), AF (OR, 1.04; 95% CI, 1.03-1.06; P =7.6 × 10 −12 ), and stroke in FinnGen (OR, 1.02; 95% CI, 1.01-1.03; P =3.5 × 10 −3 ) per 1 SD in PGS. Conclusions and Relevance Results of this cohort study suggest that epicardial and pericardial adiposity was associated with incident cardiovascular diseases, but this may largely reflect a metabolically unhealthy adiposity phenotype similar to abdominal visceral adiposity.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
1秒前
吧唧吧唧发布了新的文献求助10
1秒前
2秒前
3秒前
3秒前
承乐发布了新的文献求助10
4秒前
4秒前
xian林完成签到,获得积分10
4秒前
5秒前
5秒前
莴笋叶发布了新的文献求助10
5秒前
5秒前
高兴的平露完成签到 ,获得积分10
5秒前
6秒前
睡醒喝瓶娃哈哈完成签到,获得积分10
6秒前
王帅完成签到,获得积分10
6秒前
八百标兵奔北坡完成签到 ,获得积分10
7秒前
香蕉觅云应助赵耀采纳,获得10
7秒前
能干可乐发布了新的文献求助10
7秒前
炙热愫发布了新的文献求助10
8秒前
drew发布了新的文献求助30
8秒前
yznfly给宣幻桃的求助进行了留言
8秒前
Bosen完成签到,获得积分10
8秒前
YZQ发布了新的文献求助10
8秒前
8秒前
9秒前
9秒前
ZZQQ完成签到,获得积分20
9秒前
山雷发布了新的文献求助10
9秒前
LinChen应助邵璞采纳,获得10
9秒前
9秒前
超级的鞅发布了新的文献求助10
10秒前
李健应助甜筒采纳,获得10
10秒前
11秒前
所所应助吧唧吧唧采纳,获得10
11秒前
jin_0124完成签到,获得积分10
11秒前
12秒前
young发布了新的文献求助10
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Basic And Clinical Science Course 2025-2026 3000
Encyclopedia of Agriculture and Food Systems Third Edition 2000
人脑智能与人工智能 1000
花の香りの秘密―遺伝子情報から機能性まで 800
Principles of Plasma Discharges and Materials Processing, 3rd Edition 400
Pharmacology for Chemists: Drug Discovery in Context 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5608256
求助须知:如何正确求助?哪些是违规求助? 4692810
关于积分的说明 14875754
捐赠科研通 4717042
什么是DOI,文献DOI怎么找? 2544147
邀请新用户注册赠送积分活动 1509105
关于科研通互助平台的介绍 1472802