Serum biomarker discovery related to pathogenesis in acute coronary syndrome by proteomic approach
Serum biomarker discovery related to pathogenesis in acute coronary syndrome by proteomic approach
AbstractAcute coronary syndrome (ACS) results from inadequate supply of blood flow from the coronary arteries to the heart or ischemia. ACS has an extremely high morbidity and mortality. The levels of biomarkers currently used for detection of ACS also increase in response to myocardial necrosis and other diseases and are not elevated immediately after symptoms appear, thus limiting their diagnostic capacity. Therefore, we aimed to discover new ACS diagnostic biomarkers with high sensitivity and specificity that are specifically related to ACS pathogenesis. Sera from 50 patients with ACS and healthy controls (discovery cohort) each were analyzed using mass spectrometry (MS) to identify differentially expressed proteins, and protein candidates were evaluated as ACS biomarkers in 120 people in each group (validation cohort). α-1-acid glycoprotein 1 (AGP1), complement C5 (C5), leucine-rich α-2-glycoprotein (LRG), and vitronectin (VN) were identified as biomarkers whose levels increase and gelsolin (GSN) as a biomarker whose levels decrease in patients with ACS. We concluded that these biomarkers are associated with the pathogenesis of ACS and can predict the onset of ACS prior to the appearance of necrotic biomarkers.
- College of Health Sciences, Bahrain Bahrain
- Eulji University Korea (Republic of)
Male, Proteomics, Proteome, Omics, Complement C5, Reproducibility of Results, Blood Proteins, Orosomucoid, Middle Aged, Predictive Value of Tests, Tandem Mass Spectrometry, Case-Control Studies, Humans, Female, Vitronectin, Acute Coronary Syndrome, Biomarkers, Gelsolin, Aged, Glycoproteins
Male, Proteomics, Proteome, Omics, Complement C5, Reproducibility of Results, Blood Proteins, Orosomucoid, Middle Aged, Predictive Value of Tests, Tandem Mass Spectrometry, Case-Control Studies, Humans, Female, Vitronectin, Acute Coronary Syndrome, Biomarkers, Gelsolin, Aged, Glycoproteins
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