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Identification of Vinculin as a Potential Diagnostic Biomarker for Acute Aortic Dissection Using Label‐Free Proteomics

Authors: He-Qing Wang; Hang Yang; Qian Tang; Yi-Chen Gong; Yuan-Hao Fu; Feng Wan; Bo Yang; +4 Authors

Identification of Vinculin as a Potential Diagnostic Biomarker for Acute Aortic Dissection Using Label‐Free Proteomics

Abstract

Acute aortic dissection (AAD) is an emergent vascular disease. Currently, its diagnosis depends on clinical and radiological investigations but lacking of serum biomarkers. In this study, we aimed to identify potential serum biomarkers for AAD using label‐free proteomics approach. A total of 90 serum samples were collected from three groups: patients with acute aortic dissection (AAD, n = 30), patients with acute myocardial infarction (AMI, n = 30), and healthy controls (n = 30), and the first four samples from each group were selected for label‐free proteomics analysis. Using label‐free approach, a total of 22 differentially expressed proteins were identified in the serum samples of the AAD group, of which 15 were upregulated and 7 were downregulated as compared to the AMI and healthy control groups. The most prominent increased protein was vinculin, which was selected to validate in total samples. The level of vinculin was significantly elevated in AAD patients (15.8 ng/ml, IQR: 9.3‐19.9 ng/ml) than that in AMI patients (8.6 ng/ml, IQR:5.3‐11.4 ng/ml) and healthy volunteers (5.3 ng/ml, IQR:2.8‐7.6 ng/ml), P < 0.0001. Furthermore, the concentration of vinculin both increased in type A and B dissection. At the early stage of AAD, vinculin maintained a high level to 48 hours compared with that of AMI. Our study demonstrated that vinculin may play a role in the early diagnosis of AAD.

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Keywords

Male, Proteomics, Proteome, Myocardial Infarction, Middle Aged, Vinculin, Aortic Aneurysm, Diagnosis, Differential, Aortic Dissection, Early Diagnosis, Case-Control Studies, Humans, Female, Biomarkers, Research Article

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Average
Top 10%
Green
gold