Comparative Proteomic Investigation of Plasma Reveals Novel Potential Biomarker Groups for Acute Aortic Dissection

Author:

Cheng Na12,Wang Hao1,Zhang Weizong1,Wang Heng1,Jin Xiang13,Ma Xiang14ORCID,Ma Yitong14ORCID

Affiliation:

1. The Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054 Xinjiang, China

2. The Department of Health Care for Cadres, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi, 830001 Xinjiang, China

3. Shenzhen Omics Medical Research Center, Shenzhen, 518053 Guangdong, China

4. State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Heart Center, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054 Xinjiang, China

Abstract

Acute aortic dissection (AAD) is a catastrophic cardiovascular disease with high disability and mortality due to multiple fatal complications. However, the molecular changes of the serum proteome after AAD are not very clear. Here, we performed isobaric tags for relative and absolute quantitation- (iTRAQ-) based comparative proteomic analysis to investigate the proteome profile changes after AAD by collecting plasma samples from 20 AAD patients and 20 controls. Out of the 345 identified proteins, 266 were considered as high-quality quantified proteins (95%confidentpeptides2), of which 25 proteins were accumulated and 12 were reduced in AAD samples. Gene ontology enrichment analysis showed that the 25 AAD-accumulated proteins were enriched in high-density lipoprotein particles for the cellular component category and protein homodimerization acidity for the molecular function category. Protein-protein interaction network analysis showed that serum amyloid A proteins (SAAs), complement component proteins, and carboxypeptidase N catalytic chain proteins (CPNs) possessed the key nodes of the network. The expression levels of six selected AAD-accumulated proteins, B2-GP1, CPN1, F9, LBP, SAA1, and SAA2, were validated by ELISA. Moreover, ROC analysis showed that the AUCs of B2-GP1 and CPN1 were 0.808 and 0.702, respectively. Our data provide insights into molecular change profiles in proteome levels after AAD and indicate that B2-GP1 and CPN1 are potential biomarkers for AAD.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Biochemistry, medical,Clinical Biochemistry,Genetics,Molecular Biology,General Medicine

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