Relationship between higher serum selenium level and adverse blood lipid profile

血脂异常 内科学 医学 内分泌学 甘油三酯 血脂谱 谷胱甘肽过氧化物酶 血脂 高密度脂蛋白 抗氧化剂 胆固醇 化学 氧化应激 生物化学 肥胖 超氧化物歧化酶 有机化学
作者
Wen Ju,Mei Ji,Xia Li,Zhe Li,Guanrui Wu,Xiaofeng Fu,Xiaomei Yang,Xibao Gao
出处
期刊:Clinical Nutrition [Elsevier]
卷期号:37 (5): 1512-1517 被引量:77
标识
DOI:10.1016/j.clnu.2017.08.025
摘要

Background As the key component of glutathione peroxidase with unique antioxidant properties, selenium has been considered to play an important part on lipid metabolism. However, the associations of serum selenium concentrations with lipid concentrations and dyslipidemia are still controversial. Methods We analyzed cross-sectional data including serum selenium levels, lipid concentrations and other related indexes of 8198 rural Chinese. Serum selenium was measured by inductively coupled plasma mass spectrometry, and total cholesterol (TC), triglyceride (TG), high density lipoprotein-cholesterol (HDL-c) and low density lipoprotein-cholesterol (LDL-c) of serum were measured with kits. Results Overall, mean serum selenium was 120 μg/l. Multivariate liner regression revealed that selenium concentrations were positively correlated with TC (P < 0.001), HDL-c (P < 0.001), TG (P < 0.001) and LDL-c (P < 0.001). Compared with the lowest quintile of serum selenium, participants in quintile 3, 4 and 5 had higher risks of High-TC dyslipidemia (P ≤ 0.02) and High-LDLC dyslipidemia (P < 0.02) after adjusting for covariates. In the stratified analyses, we found that the selenium–dyslipidemia associations were significantly stronger in post-menopausal women (OR: 2.72; 95% CI: 1.97, 4.17) and diabetics (OR: 9.40; 95% CI: 3.02, 29.26). Conclusion Elevated serum selenium levels were correlated with the increased concentrations of TC, LDL-c, HDL-c and TG, and increased the risk of High-TC and High-LDLC dyslipidemia among rural Chinese. However, the real associations between serum selenium and lipid profile should be verified in specifically designed randomized trials in future.
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
gaogao292发布了新的文献求助10
刚刚
科研通AI6.1应助呦呦鹿鸣采纳,获得10
刚刚
科研通AI6.2应助呦呦鹿鸣采纳,获得10
刚刚
1秒前
Jessie发布了新的文献求助10
1秒前
Gun完成签到,获得积分10
2秒前
2秒前
卓尔不群金良完成签到,获得积分10
3秒前
3秒前
3秒前
3秒前
yuanling完成签到 ,获得积分10
4秒前
shelly0621完成签到,获得积分10
5秒前
5秒前
5秒前
Orange应助cici采纳,获得10
5秒前
阿水完成签到,获得积分10
6秒前
高高的蜗牛完成签到,获得积分10
6秒前
风清扬发布了新的文献求助10
8秒前
8秒前
8秒前
feiying88发布了新的文献求助10
8秒前
17完成签到 ,获得积分10
9秒前
豆沙包公主完成签到,获得积分10
11秒前
chunagtr发布了新的文献求助10
11秒前
娜娜完成签到,获得积分20
12秒前
12秒前
12秒前
13秒前
所所应助Brook1985采纳,获得10
13秒前
222发布了新的文献求助10
13秒前
隐形曼青应助ppbk采纳,获得10
13秒前
筱奇完成签到,获得积分10
15秒前
白桃清酒发布了新的文献求助10
15秒前
xingxing完成签到,获得积分10
16秒前
17秒前
NexusExplorer应助科研王采纳,获得10
17秒前
英姑应助高高采纳,获得10
17秒前
viviji完成签到,获得积分10
18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
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
Discrete-Time Signals and Systems 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 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6023821
求助须知:如何正确求助?哪些是违规求助? 7653041
关于积分的说明 16174203
捐赠科研通 5172300
什么是DOI,文献DOI怎么找? 2767456
邀请新用户注册赠送积分活动 1750917
关于科研通互助平台的介绍 1637326