The Plasma Metabolomic Profile is Differently Associated with Liver Fat, Visceral Adipose Tissue, and Pancreatic Fat

白色脂肪组织 脂质代谢 脂肪垫 褐色脂肪组织 脂肪肝 胰岛素抵抗 脂肪细胞 甘油三酯 胰岛素
作者
Lars Lind,Samira Salihovic,Ulf Risérus,Joel Kullberg,Lars Johansson,Håkan Ahlström,Jan W. Eriksson,Jan Oscarsson
出处
期刊:The Journal of Clinical Endocrinology and Metabolism [Oxford University Press]
卷期号:106 (1) 被引量:2
标识
DOI:10.1210/clinem/dgaa693
摘要

Context Metabolic differences between ectopic fat depots may provide novel insights to obesity-related diseases. Objective To investigate the plasma metabolomic profiles in relation to visceral adipose tissue (VAT) volume and liver and pancreas fat percentages. Design Cross-sectional. Setting Multicenter at academic research laboratories. Patients Magnetic resonance imaging (MRI) was used to assess VAT volume, the percentage of fat in the liver and pancreas (proton density fat fraction [PDFF]) at baseline in 310 individuals with a body mass index ≥ 25 kg/m2 and with serum triglycerides ≥ 1.7 mmol/l and/or type 2 diabetes screened for inclusion in the 2 effect of omega-3 carboxylic acid on liver fat content studies. Intervention None. Main outcome measure Metabolomic profiling with mass spectroscopy enabled the determination of 1063 plasma metabolites. Results Thirty metabolites were associated with VAT volume, 31 with liver PDFF, and 2 with pancreas PDFF when adjusting for age, sex, total body fat mass, and fasting glucose. Liver PDFF and VAT shared 4 metabolites, while the 2 metabolites related to pancreas PDFF were unique. The top metabolites associated with liver PDFF were palmitoyl-palmitoleoyl-GPC (16:0/16:1), dihydrosphingomyelin (d18:0/22:0), and betaine. The addition of these metabolites to the Liver Fat Score improved C-statistics significantly (from 0.776 to 0.861, P = 0.0004), regarding discrimination of liver steatosis. Conclusion Liver PDFF and VAT adipose tissue shared several metabolic associations, while those were not shared with pancreatic PDFF, indicating partly distinct metabolic profiles associated with different ectopic fat depots. The addition of 3 metabolites to the Liver Fat Score improved the prediction of liver steatosis.

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
yuanyuan发布了新的文献求助10
2秒前
3秒前
Anran发布了新的文献求助10
4秒前
4秒前
yujianhong发布了新的文献求助10
5秒前
ztt完成签到,获得积分10
5秒前
6秒前
lhd完成签到 ,获得积分10
7秒前
Jasmine完成签到,获得积分20
7秒前
科研通AI6.2应助OsActin采纳,获得10
7秒前
耍酷振家发布了新的文献求助10
9秒前
鬼先生发布了新的文献求助10
9秒前
9秒前
葫芦娃发布了新的文献求助10
11秒前
11秒前
巨型肥猫完成签到 ,获得积分10
11秒前
chenyue233完成签到,获得积分10
13秒前
yishan101发布了新的文献求助10
14秒前
zln发布了新的文献求助10
14秒前
吼住吼住完成签到 ,获得积分10
15秒前
熊旺林发布了新的文献求助30
15秒前
16秒前
16秒前
柿子大王发布了新的文献求助100
18秒前
18秒前
彩虹大侠完成签到,获得积分10
18秒前
18秒前
溯溯完成签到 ,获得积分10
20秒前
耍酷大炮发布了新的文献求助10
20秒前
ff完成签到,获得积分10
21秒前
22秒前
英姑应助nihaoaaaa采纳,获得10
22秒前
22秒前
poiny发布了新的文献求助10
22秒前
鱼木完成签到,获得积分10
23秒前
善学以致用应助科研民工采纳,获得10
24秒前
无奈的醉薇完成签到,获得积分10
24秒前
25秒前
真实的麦片完成签到,获得积分10
27秒前
黑化小狗发布了新的文献求助10
29秒前
高分求助中
Metallurgy at high pressures and high temperatures 2000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 1000
Relationship between smartphone usage in changes of ocular biometry components and refraction among elementary school children 800
The SAGE Dictionary of Qualitative Inquiry 610
Signals, Systems, and Signal Processing 610
An Introduction to Medicinal Chemistry 第六版习题答案 600
应急管理理论与实践 530
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6338850
求助须知:如何正确求助?哪些是违规求助? 8154033
关于积分的说明 17132225
捐赠科研通 5393885
什么是DOI,文献DOI怎么找? 2858473
邀请新用户注册赠送积分活动 1836275
关于科研通互助平台的介绍 1686435