Determination of malondialdehyde (MDA) by high-performance liquid chromatography in serum and liver as a biomarker for oxidative stressApplication to a rat model for hypercholesterolemia and evaluation of the effect of diets rich in phenolic antioxidants from fruits

丙二醛 脂质过氧化 化学 多酚 氧化应激 体内 高效液相色谱法 抗氧化剂 氧化磷酸化 色谱法 生物化学 食品科学 药理学 生物技术 生物
作者
Raquel Mateos,Elena Lecumberri,Sonia Ramos,Luis Goya,Laura Bravo
出处
期刊:Journal of Chromatography B [Elsevier BV]
卷期号:827 (1): 76-82 被引量:346
标识
DOI:10.1016/j.jchromb.2005.06.035
摘要

A high-performance liquid chromatography (HPLC) method to determine malondialdehyde (MDA) as the 2,4-dinitrophenylhydrazine (DNPH) derivative was applied to biological samples (serum and liver homogenates). Since MDA is considered a presumptive biomarker for lipid peroxidation in live organisms, a model for nutritionally induced oxidative stress (hypercholesterolemic rats) was studied in comparison with normocholesterolemic animals. The effect of diet supplementation with fruits rich in antioxidant polyphenols was assessed. The proposed method showed to be precise and reproducible, as well as sensitive enough to reflect differences in the oxidative status in vivo. A significant decrease of serum and liver MDA concentrations in animals fed diets containing 0.3% of polyphenols from strawberry, cocoa or plum was observed in the normocholesterolemic groups. This reduction was especially noteworthy in the hypercholesterolemic animals, with increased MDA levels indicating enhanced lipid peroxidation in the controls, yet with values parallel to the normocholesterolemic groups in animals fed the polyphenol-rich diets. These results point out the beneficial effects of phenolic antioxidants from fruits in preventing oxidative damage in vivo.

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
dfghjkl完成签到,获得积分10
1秒前
3秒前
3秒前
会撒娇的梦竹完成签到 ,获得积分10
3秒前
acgangle应助干净成协采纳,获得10
4秒前
Orange应助polaris采纳,获得10
5秒前
lnix完成签到,获得积分10
5秒前
脑洞疼应助Costing采纳,获得10
6秒前
yangyu完成签到,获得积分10
6秒前
ZZX完成签到,获得积分20
6秒前
7秒前
shorting发布了新的文献求助10
7秒前
科研狗应助西部森林采纳,获得50
8秒前
嘻嘻发布了新的文献求助10
8秒前
8秒前
可爱的函函应助灯与鬼采纳,获得10
8秒前
10秒前
11秒前
11秒前
12秒前
13秒前
小蘑菇应助清脆亿先采纳,获得10
13秒前
讨厌下雨完成签到,获得积分10
13秒前
FashionBoy应助123采纳,获得10
15秒前
cfy完成签到,获得积分10
16秒前
16秒前
冉海琳完成签到,获得积分20
16秒前
诚心海云完成签到,获得积分10
16秒前
Costing发布了新的文献求助10
18秒前
19秒前
19秒前
20秒前
陶醉的美女完成签到,获得积分10
20秒前
20秒前
共享精神应助小刘接好运采纳,获得10
21秒前
灯与鬼发布了新的文献求助10
21秒前
21秒前
22秒前
卿亦佳人发布了新的文献求助10
22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
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Concepts in the Brain 500
核安全综合知识2024版 500
Photothermal Science and Techniques 500
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7719345
求助须知:如何正确求助?哪些是违规求助? 9273024
关于积分的说明 20095473
捐赠科研通 7295346
什么是DOI,文献DOI怎么找? 3299824
关于科研通互助平台的介绍 2453569
邀请新用户注册赠送积分活动 2307104