Differential urinary proteins to diagnose coronary heart disease based on iTRAQ quantitative proteomics
Differential urinary proteins to diagnose coronary heart disease based on iTRAQ quantitative proteomics
复制标题
基于iTRAQ定量蛋白质组学的差异尿蛋白诊断冠心病
DOI:
--
复制
发表时间:
2019
影响因子:
4.3
通讯作者:
Yong Zeng
中科院分区:
文献类型:
--
作者:
Haidan Sun;Danqi Wang;Dongfang Liu;Zhengguang Guo;Chen Shao;Wei Sun;Yong Zeng
AbstractCoronary artery disease (CAD) is a manifestation of systemic atherosclerotic disease. It is assessed by intervention or traditional scoring risk factors. Diagnosis is limited by inaccurate and invasive methods. Developing noninvasive methods to screen for the risk of CAD is a major challenge. We aimed to identify urinary proteins associated with CAD. We utilized iTRAQ labeling followed by 2D LC-MS/MS to compare the urinary proteome of CAD patients to healthy cohorts. The multiple reaction monitoring (MRM) was used to verify the differential proteins. ROC analysis based on MRM data was used to evaluate the diagnostic application. A total of 876 proteins were quantified, and 100 differential proteins were found. Functional analysis revealed that the differential proteins were mainly associated with Liver X Receptor/Retinoid X Receptor (LXR/RXR) pathway activation, atherosclerosis signaling, production of nitric oxide and reactive oxygen species, and the top upstream regulator of the differential proteins by IPA analysis indicated to the APOE. Nineteen differential proteins were verified by MRM analysis. ROC based on MRM data revealed that the combination of two proteins (APOD and TFF1) could diagnose CAD with 85% sensitivity and 99% specificity (AUC 0.95). The urinary proteome might reflect the pathophysiological changes in CAD and be used for the clinical study of CAD.
DOI:
10.2741/4378
发表时间:
2016-01-01
期刊:
Frontiers in bioscience (Landmark edition)
影响因子:
--
作者:
Amin M;Pushpakumar S;Muradashvili N;Kundu S;Tyagi SC;Sen U
通讯作者:
Sen U
DOI:
10.1161/01.atv.14.1.133
发表时间:
1994-01-01
期刊:
ARTERIOSCLEROSIS AND THROMBOSIS
影响因子:
--
作者:
NAKASHIMA, Y;PLUMP, AS;ROSS, R
通讯作者:
ROSS, R
影响因子:
29.7
作者:
Galkina E;Ley K
通讯作者:
Ley K