Metabolomics in early detection and prognosis of acute coronary syndrome

被引:37
作者
Amiri, Mohammad Pouralijan [1 ]
Khoshkam, Maryam [2 ]
Salek, Reza M. [3 ]
Madadi, Reza [4 ]
Ganji, Ghassem Faghanzadeh [5 ]
Ramazani, Ali [6 ,7 ]
机构
[1] Zanjan Univ Med Sci, Dept Genet & Mol Med, Fac Med, Zanjan, Iran
[2] Univ Mohaghegh Ardabili, Fac Basic Sci, Chem Grp, Ardebil, Iran
[3] EBI, EMBL, Cambridge, England
[4] Zanjan Univ Med Sci, Mousavi Hosp, Dept Cardiol, Zanjan, Iran
[5] Babol Univ Med Sci, Cardiac Surg Dept, Rohani Hosp, Babol Sar, Iran
[6] Zanjan Univ Med Sci, Canc Gene Therapy Res Ctr, Zanjan, Iran
[7] Zanjan Univ Med Sci, Zanjan Metab Dis Res Ctr, Zanjan, Iran
关键词
Acute coronary syndrome; Metabolomics; Biomarkers; Diagnosis; Mass spectrometry; Nuclear magnetic resonance; COLLAGEN GENE-EXPRESSION; UNSTABLE ANGINA; ARTERY-DISEASE; 4(1H)-PYRIDINONE DERIVATIVES; CARDIOVASCULAR-DISEASE; H-1-NMR METABONOMICS; ENDOTHELIAL FUNCTION; MYOCARDIAL DAMAGE; SYSTEMS BIOLOGY; POTENTIAL ROLE;
D O I
10.1016/j.cca.2019.03.1632
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
Acute coronary syndrome (ACS) is one of the most dangerous types of coronary heart disease (CHD) and contributes to significant mortality and morbidity worldwide. Outcomes in these patients remain a challenge despite improvements in diagnosis and treatment. Risk stratification continues to be problematic and the identification of novel predictors is crucial for improved outcomes. As such, there is a strong need for the development of novel analytical methods as well as the characterization of better predictive and prognostic biomarkers to enable more personalized treatment. Metabolite profile analysis may greatly assist in interpreting altered pathway dynamics, especially when combined with other 'omits' technologies such as transcriptomics and proteomics. In this review, we describe ACS pathophysiology and recent advances in the role of metabolomics in the diagnosis and the molecular pathogenesis of ACS. We briefly describe key technologies used in metabolomics research and statistical approaches for data reduction and pathway analysis and discuss their application to CHD.
引用
收藏
页码:43 / 53
页数:11
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