LC–MS/MS method for quantitation of seven biomarkers in human plasma for the assessment of insulin resistance and impaired glucose tolerance

色谱法 化学 蛋白质沉淀 代谢物 分析物 选择性反应监测 胰岛素抵抗 质谱法 高效液相色谱法 油酸 串联质谱法 胰岛素 生物化学 内科学 医学
作者
Qibo Zhang,Lisa A. Ford,Kelli D. Goodman,Tiffany A. Freed,Deirdre M. Hauser,Jessie K. Conner,Kate E.T. Vroom,Douglas R. Toal
出处
期刊:Journal of Chromatography B [Elsevier]
卷期号:1038: 101-108 被引量:14
标识
DOI:10.1016/j.jchromb.2016.10.025
摘要

Early detection of insulin resistance (IR) and/or impaired glucose tolerance (IGT) is crucial for delaying and preventing the progression toward type 2 diabetes. We recently developed and validated a straightforward metabolite-based test for the assessment of IR and IGT in a single LC–MS/MS method. Plasma samples were diluted with isotopically-labeled internal standards and extracted by simple protein precipitation. The extracts were analyzed by LC–MS/MS for the quantitation of 2-hydroxybutyric acid (0.500–40.0 μg/mL), 3-hydroxybutyric acid (1.00–80.0 μg/mL), 4-methyl-2-oxopentanoic acid (0.500–20.0 μg/mL), 1-linoleoyl-2-hydroxy-sn-glycero-3-phosphocholine (2.50–100 μg/mL), oleic acid (10.0–400 μg/mL), pantothenic acid (0.0100–0.800 μg/mL), and serine (2.50–100 μg/mL). Liquid chromatography was carried out on a reversed phase column with a run time of 3.1 min and the mass spectrometer operated in negative MRM mode. Method validation was performed on three identical LC–MS/MS systems with five runs each. Sufficient linearity (R2 > 0.99) was observed for all the analytes over the ranges. The imprecision (CVs) was found to be less than 5.5% for intra-run and less than 5.8% for inter-run for the seven analytes. The analytical recovery was determined to be between 96.3 and 103% for the seven analytes. This fast and robust method has subsequently been used for patient sample analysis for the assessment of IR and IGT.
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
南瓜咸杏完成签到,获得积分10
1秒前
陈甸甸完成签到,获得积分10
1秒前
韦威风发布了新的文献求助10
2秒前
2秒前
king完成签到,获得积分10
2秒前
qweerrtt发布了新的文献求助10
3秒前
余三浪完成签到,获得积分10
3秒前
4秒前
lixoii发布了新的文献求助20
4秒前
豌豆射手发布了新的文献求助10
5秒前
科研通AI2S应助k7采纳,获得10
5秒前
wszldmn完成签到,获得积分10
5秒前
坚定的亦绿完成签到,获得积分10
6秒前
6秒前
yurh完成签到,获得积分10
6秒前
小朋友完成签到,获得积分10
7秒前
华仔应助小王采纳,获得10
7秒前
彭于晏应助乔乔采纳,获得10
7秒前
7秒前
1199完成签到,获得积分10
7秒前
7秒前
南瓜完成签到 ,获得积分10
8秒前
eric曾完成签到,获得积分10
9秒前
10秒前
10秒前
11秒前
韦威风完成签到,获得积分10
11秒前
请叫我风吹麦浪应助cc采纳,获得30
11秒前
所所应助Ll采纳,获得10
11秒前
阳光的道消完成签到,获得积分10
12秒前
12秒前
12秒前
豌豆射手完成签到,获得积分10
13秒前
13秒前
桑桑发布了新的文献求助10
13秒前
领导范儿应助幸福胡萝卜采纳,获得10
14秒前
明理的小甜瓜完成签到,获得积分10
15秒前
15秒前
33333完成签到,获得积分20
15秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
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
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 3527742
求助须知:如何正确求助?哪些是违规求助? 3107867
关于积分的说明 9286956
捐赠科研通 2805612
什么是DOI,文献DOI怎么找? 1540026
邀请新用户注册赠送积分活动 716884
科研通“疑难数据库(出版商)”最低求助积分说明 709762