The Serum Metabolic Biomarkers in Early Diagnosis and Risk Stratification of Acute Coronary Syndrome

被引:11
作者
Jiang, Huali [1 ]
Jiang, Hualong [2 ]
Zhang, Jian [3 ,4 ]
Chen, Weijie [1 ]
Luo, Changyou [1 ]
Li, Heng [1 ]
Hau, William [5 ]
Chen, Benfa [1 ]
Wang, Shanhua [1 ]
机构
[1] Sun Yat Sen Univ, Dept Cardiovasc, Tungwah Hosp, Dongguan, Peoples R China
[2] Sun Yat Sen Univ, Dept Urol, Tungwah Hosp, Dongguan, Peoples R China
[3] Guangzhou Med Univ, Dept Radiat Oncol, Affiliated Canc Hosp & Inst, Guangzhou, Peoples R China
[4] Guangzhou Med Univ, Guangzhou Inst Resp Dis, State Key Lab Resp Dis, Affiliated Canc Hosp & Inst, Guangzhou, Peoples R China
[5] Chinese Univ Hong Kong, Fac Med, Dept Med & Therapeut, Hong Kong, Peoples R China
来源
FRONTIERS IN PHYSIOLOGY | 2020年 / 11卷
关键词
serum; metabolomics; biomarkers; acute coronary syndrome; liquid chromatography; mass spectrometry; CHRONIC KIDNEY-DISEASE; BETAINE; DYSFUNCTION; PROTEIN; AGENT;
D O I
10.3389/fphys.2020.00776
中图分类号
Q4 [生理学];
学科分类号
071003 ;
摘要
Despite advances in the treatment of coronary diseases, acute coronary syndrome (ACS) remains the leading cause of death worldwide. ACS is associated with metabolic abnormalities of lipid oxidation stress. In this study, based on liquid chromatograph mass spectrometry technique, we conducted the metabolic profiling analysis of serum samples from stable plaques (SPs) and vulnerable plaques (VPs) in ACS patients for exploring the potential biomarkers of plaque stability. The results showed that four differential metabolites were identified between the SPs and VPs, including betaine, acetylcarnitine, 1-heptadecanoyl-sn-glycero-3-phosphocholine, and isoundecylic acid. Meanwhile, the diagnostic model was identified using stepwise logistic regression and internally validated with 10-fold cross-validation. We analyzed the correlations between serum metabolic perturbations and plaque stability, and the serum betaine and ejection fraction-based model was established with a good diagnostic efficacy [area under the curve (AUC) = 0.808, sensitivity = 70.6%, and specificity = 80.0%]. In summary, we firstly illustrate the comprehensive serum metabolic profiles in ACS patients, suggesting that the combined model of serum betaine and ejection fraction seems to be used as the potential diagnostic biomarker for the vulnerability of plaque stability.
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页数:10
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