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ORIGINAL RESEARCH article
Front. Cardiovasc. Med.
Sec. Clinical and Translational Cardiovascular Medicine
Volume 11 - 2024 |
doi: 10.3389/fcvm.2024.1425817
Integrating Genomic Profiling to Clinical Data: Assessing the Impact of CD147 Expression on Plaque Stability
Provisionally accepted- 1 Department of Cardiology, 920th Hospital of Joint Logistics Support Force of People's Liberation Army of China, Kunming, China
- 2 Dali University, Dali, Yunnan, China
- 3 Department of Pulmonary and Critical Care Medicine, 920th Hospital of Joint Logistics Support Force, Kunming, Yunnan Province, China
- 4 Department of Cardiology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan Province, China
Background: Acute Coronary Syndrome (ACS) continues to be a leading cause of death and illness worldwide. Differentiating stable from unstable coronary plaques is essential for enhancing patient outcomes. This research investigates the role of CD147 as a biomarker for plaque stability among coronary artery disease patients.The study began with high-throughput sequencing of blood samples from six patients, divided equally between those with Stable Angina (SA) and Unstable Angina (UA), followed by bioinformatics analysis. Expanding upon these findings, the study included 31 SA patients and 30 patients with ACS, using flow cytometry to examine CD147 expression on platelets and monocytes. Additionally, logistic regression was utilized to integrate traditional risk factors and evaluate the predictive value of CD147 expression for plaque stability.Results: Initial sequencing displayed a notable difference in CD147 expression between SA and UA groups, with a significant increase in UA patients. Further analysis confirmed that elevated platelet CD147 expression was strongly associated with unstable plaques (OR=277.81, P < .001), after adjusting for conventional risk factors, whereas monocyte CD147 levels did not show a significant difference.Elevated CD147 expression on platelets is a crucial biomarker for identifying unstable coronary artery plaques, offering insights into patient risk stratification and the development of targeted treatment strategies. This underscores the pivotal role of molecular research in understanding and managing coronary artery disease, paving the way for improved clinical outcomes.
Keywords: CD147, BSG, Acute Coronary Syndrome, Unstable Angina, Stable Angina, Bioinformatics, Platelets, Cross-sectional Study AMI:acute myocardial infarction, AUC:The area under the curve BMI:Body Mass Index, BNP:B-type Natriuretic Peptide, BP:Biological Processes BSG:Basal Cell-Supporting Glycoprotein, CC:Cellular Components, CHD:Coronary Heart Disease, CI: confidence interval, CK : creatine kinase
Received: 30 Apr 2024; Accepted: 29 Aug 2024.
Copyright: © 2024 Chen, Lu, Ren, Fan, Bao, Zhang, Shi, Wang and Yang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Si Lu, Dali University, Dali, 671000, Yunnan, China
Yong Ren, Dali University, Dali, 671000, Yunnan, China
Jun Fan, Department of Cardiology, 920th Hospital of Joint Logistics Support Force of People's Liberation Army of China, Kunming, China
Chun-Ping Bao, Department of Cardiology, 920th Hospital of Joint Logistics Support Force of People's Liberation Army of China, Kunming, China
Yan-Kun Shi, Department of Cardiology, 920th Hospital of Joint Logistics Support Force of People's Liberation Army of China, Kunming, China
Yan Wang, Department of Cardiology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan Province, China
Li-Xia Yang, Department of Cardiology, 920th Hospital of Joint Logistics Support Force of People's Liberation Army of China, Kunming, China
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