Metabolomic Analysis of Livers and Serum from High-Fat Diet Induced Obese Mice

代谢组学 甜菜碱 肉碱 脂质代谢 代谢物 新陈代谢 尿酸 内科学 代谢组 肥胖 内分泌学 生物化学 化学 生物 医学 色谱法
作者
Hyun‐Jin Kim,Jin Hee Kim,Siwon Noh,Haeng Jeon Hur,Mi Jeong Sung,Jin‐Taek Hwang,Jae Ho Park,Hye Jeong Yang,Myung‐Sunny Kim,Dae Young Kwon,Suk Hoo Yoon
出处
期刊:Journal of Proteome Research [American Chemical Society]
卷期号:10 (2): 722-731 被引量:375
标识
DOI:10.1021/pr100892r
摘要

Liver and serum metabolites of obese and lean mice fed on high fat or normal diets were analyzed using ultraperformance liquid chromatography-quadrupole-time-of-flight mass spectrometry, gas chromatography-mass spectrometry, and partial least-squares-discriminant analysis (PLS-DA). Obese and lean groups were clearly discriminated from each other on PLS-DA score plot and major metabolites contributing to the discrimination were assigned as lipid metabolites (fatty acids, phosphatidylcholines (PCs), and lysophosphatidylcholines (lysoPCs)), lipid metabolism intermediates (betaine, carnitine, and acylcarnitines), amino acids, acidic compounds, monosaccharides, and serotonin. A high-fat diet increased lipid metabolites but decreased lipid metabolism intermediates and the NAD/NADH ratio, indicating that abnormal lipid and energy metabolism induced by a high-fat diet resulted in fat accumulation via decreased β-oxidation. In addition, this study revealed that the levels of many metabolites, including serotonin, betaine, pipecolic acid, and uric acid, were positively or negatively related to obesity-associated diseases. On the basis of these metabolites, we proposed a metabolic pathway related to high-fat diet-induced obesity. These metabolites can be used to better understand obesity and related diseases induced by a hyperlipidic diet. Furthermore, the level changes of these metabolites can be used to assess the risk of obesity and the therapeutic effect of obesity management.
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
1秒前
lisbattery发布了新的文献求助10
1秒前
1秒前
酷波er应助phy采纳,获得10
1秒前
12完成签到,获得积分10
2秒前
开心小刺猬完成签到,获得积分10
2秒前
李云穆完成签到,获得积分10
2秒前
专注若之完成签到,获得积分10
2秒前
fff发布了新的文献求助10
3秒前
Ternura发布了新的文献求助10
3秒前
深情安青应助WQQ采纳,获得10
3秒前
5High_0发布了新的文献求助10
3秒前
3秒前
3秒前
4秒前
Liziqi823完成签到,获得积分10
5秒前
小二郎应助开心小刺猬采纳,获得10
5秒前
FashionBoy应助小狗采纳,获得10
7秒前
Akim应助聪慧的微笑采纳,获得10
8秒前
深情安青应助Ternura采纳,获得10
8秒前
8秒前
lingzhi发布了新的文献求助10
8秒前
独孤刘完成签到,获得积分10
8秒前
9秒前
ceeray23应助清秀的沉鱼采纳,获得10
9秒前
小兔睡了完成签到,获得积分20
9秒前
大模型应助清秀的沉鱼采纳,获得10
9秒前
zhang完成签到,获得积分10
9秒前
往徕完成签到,获得积分10
10秒前
10秒前
乌鸦坐飞机应助22采纳,获得30
10秒前
龙腾岁月完成签到 ,获得积分10
10秒前
xm完成签到,获得积分20
10秒前
11秒前
11秒前
11秒前
12秒前
laber应助isonomia采纳,获得200
12秒前
任性的梦菲应助兜兜采纳,获得20
12秒前
qyang完成签到 ,获得积分10
12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
Modern Epidemiology, Fourth Edition 5000
Handbook of pharmaceutical excipients, Ninth edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 生物化学 化学工程 物理 计算机科学 复合材料 内科学 催化作用 物理化学 光电子学 电极 冶金 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6022415
求助须知:如何正确求助?哪些是违规求助? 7641658
关于积分的说明 16169200
捐赠科研通 5170583
什么是DOI,文献DOI怎么找? 2766798
邀请新用户注册赠送积分活动 1750045
关于科研通互助平台的介绍 1636833