ArticleAnnals of translational medicine2021
Screening and identification of potential protein biomarkers for the early diagnosis of acute myocardial infarction.
Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Diagnostic Performance of Complete Blood Count Derived Indices for Acute Coronary Syndrome in Emergency Department Patients With Acute Chest Pain: A Single-Center Retrospective Diagnostic Accuracy Study.Health science reports · 2026Article
- Metabolomics-assisted evaluation of differences and clinical value between ablation and surgical treatment for lung adenocarcinoma.Frontiers in oncology · 2026Article
- Diagnostic Value of Serum CXCL2 and Fibronectin-1 in Acute Myocardial Infarction and Their Association with Neutrophil Extracellular Trap Formation.International journal of general medicine · 2026Article
- Higenamine Hydrochloride Ameliorates Diabetic Cardiomyopathy Through RhoA/MEK/ERK Pathway.Inflammation · 2025Article
- Uncovering Hippo pathway-related biomarkers in acute myocardial infarction via scRNA-seq binding transcriptomics.Scientific reports · 2025Article
- The roles of Th cells in myocardial infarction.Cell death discovery · 2024Review
- Diagnostic and treatment value ofJournal of thoracic disease · 2023Article
- Gut microbiota combined with metabolites reveals unique features of acute myocardial infarction patients different from stable coronary artery disease.Journal of advanced research · 2023Article
- From multi-omics approaches to personalized medicine in myocardial infarction.Frontiers in cardiovascular medicine · 2023Review
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6 authors.
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Abstract
backgroundAcute myocardial infarction (AMI) is the most serious type of heart disease. Clinically, there is an urgent need to discover diagnostic biomarkers for the early diagnosis of AMI.
methodsSerum proteomic profiles in AMI patients, healthy controls, and stable angina pectoris (SAP) patients were explored and compared by iTRAQ-2DLC-MS/MS. The clinical data of AMI patients were also analyzed. Differentially expressed proteins were validated by enzyme linked immunosorbent assay (ELISA), and diagnostic models were constructed.
resultsA total of 39 differentially expressed proteins were identified in AMI patients. The results showed that the serum levels of apolipoprotein E (APOE) in AMI patients were notably higher than those in the healthy controls (P=0.0172). The serum levels of aspartate aminotransferase (AATC) in AMI patients were markedly higher than those in the healthy controls and SAP patients (P<0.0001 and P<0.0001, respectively). The serum levels of fibronectin (FINC) in SAP patients were significantly higher than those in the healthy controls and AMI patients (P=0.0043 and P=0.0044, respectively). Clinical data analysis showed a considerable difference in blood glucose levels, troponin I (TNI), and creatine kinase (CK) in AMI patients compared with SAP patients and healthy controls. A diagnostic model consisting of AATC and clinical indicators [lactate dehydrogenase (LDH) and CK] was established to distinguish between AMI patients and healthy controls, with an area under the curve (AUC) value of 0.993 sensitivity and specificity of 96.2% and 96.3%, respectively. A diagnostic model consisting of AATC and CK was established to distinguish between AMI patients and SAP patients, with an AUC value of 0.975 and a sensitivity and specificity of 85.2% and 79.30%, respectively.
conclusionsIn this study, differentially expressed proteins in AMI patients were combined with clinical indexes, LDH and CK, and two diagnostic models were constructed. This study may provide meaningful data for the early diagnosis of AMI.
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