Measurement of sialic acid from lipoproteins and human plasma by liquid chromatography-tandem mass spectrometry

唾液酸 化学 极低密度脂蛋白 色谱法 离心 脂蛋白 串联质谱法 液相色谱-质谱法 N-乙酰神经氨酸 中密度脂蛋白 质谱法 胆固醇 生物化学
作者
Shoudong Guo,Hui Song,Naibin Yang,Yujie Kan,Fuyu Li,Yu Liu,Fangyuan Li,Shucun Qin
出处
期刊:Sepu [China Science Publishing & Media Ltd.]
卷期号:32 (11): 1197-1197 被引量:2
标识
DOI:10.3724/sp.j.1123.2014.07002
摘要

A liquid chromatography-tandem mass spectrometry (LC-MS/MS) method was established to quantify sialic acid (N-acetylneuraminic acid, NANA) from lipoproteins and human plasma. The method was used to investigate the different contents of NANA from lipoproteins between diabetic with an average age of 51.6 years and healthy participants with an average age of 50.7 years. The NANA from lipoprotein samples was hydrolyzed by acetic acid (pH = 2) at 80 °C for 2 h and analyzed by the optimized LC-MS/MS method after high speed centrifugation and filtration. The limits of detection and quantification of NANA were 7.4 and 24.5 pg, respectively. The linear range was 2.5-80 ng/mL for NANA and the correlation coefficient (R2) was more than 0.998. The levels of NANA in the plasma of type II diabetics and healthy participants were (548.3 ± 88.9) and (415.3 ± 55.5) mg/L, respectively; and the levels of NANA from very low density lipoproteins (VLDL), low density lipoproteins (LDL), and high density lipoproteins (HDL) of the type II diabetics and the healthy participants were (4.91 ± 0.19), (6.95 ± 0.28), (3.61 ± 0.22) μg/mg and (2.90 ± 0.27), (7.03 ± 0.04), (2.40 ± 0.09) μg/mg, respectively. The sialic acid levels of VLDL and HDL from the type II diabetics were markedly higher than those of the corresponding healthy participants with the similar ages (P < 0.01). The method can rapidly determine the sialic acid from lipoproteins, and is reproducible and time saving.
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
Zxc完成签到,获得积分10
刚刚
lbt完成签到 ,获得积分10
1秒前
yao完成签到 ,获得积分10
2秒前
2秒前
4秒前
5秒前
5秒前
doudou完成签到 ,获得积分10
5秒前
BCS完成签到,获得积分10
5秒前
领导范儿应助KYN采纳,获得10
5秒前
6秒前
独特的莫言完成签到,获得积分10
8秒前
lin发布了新的文献求助10
9秒前
aero完成签到 ,获得积分10
11秒前
123号完成签到,获得积分10
13秒前
充电宝应助TT采纳,获得10
15秒前
16秒前
16秒前
英姑应助荒野星辰采纳,获得10
18秒前
18秒前
YHY完成签到,获得积分10
20秒前
科研通AI5应助魏伯安采纳,获得10
20秒前
caoyy发布了新的文献求助10
20秒前
21秒前
22秒前
张喻235532完成签到,获得积分10
23秒前
失眠虔纹发布了新的文献求助10
24秒前
香蕉觅云应助糊涂的小伙采纳,获得10
24秒前
24秒前
sutharsons应助科研通管家采纳,获得200
26秒前
打打应助科研通管家采纳,获得10
26秒前
axin应助科研通管家采纳,获得10
26秒前
丘比特应助科研通管家采纳,获得10
26秒前
小蘑菇应助科研通管家采纳,获得10
26秒前
上官若男应助科研通管家采纳,获得10
26秒前
无花果应助科研通管家采纳,获得10
26秒前
26秒前
李健应助科研通管家采纳,获得10
26秒前
CodeCraft应助科研通管家采纳,获得10
26秒前
Ava应助科研通管家采纳,获得10
26秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
Luis Lacasa - Sobre esto y aquello 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527998
求助须知:如何正确求助?哪些是违规求助? 3108225
关于积分的说明 9288086
捐赠科研通 2805889
什么是DOI,文献DOI怎么找? 1540195
邀请新用户注册赠送积分活动 716950
科研通“疑难数据库(出版商)”最低求助积分说明 709849