ArticleJournal of inflammation research2025
Identification of Cardiometabolic Protein Biomarkers for Acute Myocardial Infarction Using Olink Proteomics.
Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Identification of Biomarker in Kidney Stone Disease by Integrating Transcriptomics and Olink Proteomics: A Case-Control Study.Journal of inflammation research · 2026Article
- Serum Expression of PDCD4 and ADAM10 in Elderly Patients with Atherosclerotic Acute Myocardial Infarction and Their Combined Predictive Value for Poor Prognosis.Clinical interventions in aging · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Acute myocardial infarction (AMI) is a critical cardiovascular event characterized by sudden coronary blood flow interruption, leading to myocardial ischemia and necrosis. Despite advances in acute therapeutic measures, understanding the metabolic damage related to AMI, particularly through specific protein expressions, remains limited. This study utilized Olink cardiovascular metabolomics technology to explore cardiovascular metabolism-related protein biomarkers associated with AMI, aiming to address the clinical need for early diagnosis and targeted therapy. Methods: This study utilized Olink cardiovascular metabolomics technology to analyze 92 cardiovascular metabolism-related proteins in coronary blood samples from 20 AMI patients and 10 healthy controls. Differentially expressed proteins were identified using statistical t-tests, followed by functional enrichment analysis (GO and KEGG) and protein-protein interaction network construction. Five core proteins were validated in plasma samples from an additional 125 AMI patients and 120 healthy controls via enzyme-linked immunosorbent assay. To evaluate diagnostic performance, receiver operating characteristic curves were generated using GEO-related datasets, and Mendelian randomization analysis was employed to investigate the causal relationship between core proteins and AMI risk. Results: The study identified 32 proteins with significantly altered expression levels between AMI patients and healthy controls. Among these, five core proteins-PCOLCE, FCN2, REG1A, DEFA1, and CRTAC1-were significantly associated with key biological processes such as metabolism, collagen formation, and the PI3K/AKT signaling pathway. These proteins showed strong correlations with clinical indicators, including BMI, LVEF, NT-proBNP, CK-MB, and cTnT. FCN2 and DEFA1 were further validated as having a causal relationship with AMI risk, indicating their potential as diagnostic biomarkers. Conclusion: The identified core proteins PCOLCE, FCN2, REG1A, DEFA1, and CRTAC1 are potential biomarkers for the early diagnosis and risk assessment of AMI. These findings suggest that these proteins could serve as targets for future therapeutic interventions aimed at mitigating cardiovascular metabolic damage in AMI.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.