Literature DB >> 25686518

Potential biomarkers for early diagnosis of acute aortic dissection.

Wen Peng1, Zhenyu Peng1, Xiangping Chai2, Qingyi Zhu3, Guifang Yang1, Qin Zhao1, Shenghua Zhou3.   

Abstract

OBJECTIVE: The purpose of this study was to identify biological markers for early diagnosis of acute aortic dissection (AAD).
METHODS: 76 patients presented to the emergency room with acute chest pain within 6 h of occurrence were recruited for this study, and AAD diagnosed by aortic CTA. Biomarkers were measured by ELISA. ROC curve and Pearson correlation analysis were used to evaluate the sensitivity and specificity to diagnosis of AAD.
RESULTS: The serum levels of α-SMA, smMHC, sELAF, PC1 and D-dimer were significantly higher in AAD patients than in other groups (P < 0.05). Significant correlations between smMHC, sELAF, PC1, and D-dimer level were observed in AAD. Any combination of two markers showed good sensitivity (94.29%) and specificity (85.37%).
CONCLUSION: smMHC, sELAF, PC1, or D-dimer alone is a biomarker for early diagnosis of AAD, but the combination of these markers has significantly higher diagnostic value.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Acute aortic dissection; Biomarkers; D-dimer; Polycystin 1; Smooth muscle myosin heavy chain; Soluble elastin fragments; α-Smooth muscle actin

Mesh:

Substances:

Year:  2015        PMID: 25686518     DOI: 10.1016/j.hrtlng.2015.01.006

Source DB:  PubMed          Journal:  Heart Lung        ISSN: 0147-9563            Impact factor:   2.210


  8 in total

1.  Polycystin-1 Downregulation Induced Vascular Smooth Muscle Cells Phenotypic Alteration and Extracellular Matrix Remodeling in Thoracic Aortic Dissection.

Authors:  Jing Zhang; Fei Liu; Yu-Bin He; Wei Zhang; Wen-Rui Ma; Jie Xing; Li-Xin Wang
Journal:  Front Physiol       Date:  2020-09-24       Impact factor: 4.566

Review 2.  Diagnostic test accuracy of D-dimer for acute aortic syndrome: systematic review and meta-analysis of 22 studies with 5000 subjects.

Authors:  Hiroki Watanabe; Nobuyuki Horita; Yuji Shibata; Shintaro Minegishi; Erika Ota; Takeshi Kaneko
Journal:  Sci Rep       Date:  2016-05-27       Impact factor: 4.379

3.  Assessing Serum Levels of ADAMTS1 and ADAMTS4 as New Biomarkers for Patients with Type A Acute Aortic Dissection.

Authors:  Kui Li; Zhi-Wei Wang; Zhipeng Hu; Zongli Ren; Xiaoping Hu; Luocheng Li; Zhiyong Wu; Hongbing Wu; Bowen Li; Jizhen Huang; Wei Ren; Jun Xia; Yongle Ruan
Journal:  Med Sci Monit       Date:  2017-08-13

4.  A machine learning model to classify aortic dissection patients in the early diagnosis phase.

Authors:  Da Huo; Bo Kou; Zhili Zhou; Ming Lv
Journal:  Sci Rep       Date:  2019-02-25       Impact factor: 4.379

5.  S100A1 as a potential biomarker for the diagnosis of patients with acute aortic dissection.

Authors:  Chenjun Han; Qiang Liu; Yuanmin Li; Wangfu Zang; Jian Zhou
Journal:  J Int Med Res       Date:  2021-04       Impact factor: 1.671

6.  The diagnostic and prognostic value of D-dimer in different types of aortic dissection.

Authors:  Deli Wang; Jie Chen; Jianhua Sun; Hongmei Chen; Fang Li; Junfeng Wang
Journal:  J Cardiothorac Surg       Date:  2022-08-20       Impact factor: 1.522

Review 7.  Tracking an Elusive Killer: State of the Art of Molecular-Genetic Knowledge and Laboratory Role in Diagnosis and Risk Stratification of Thoracic Aortic Aneurysm and Dissection.

Authors:  Rosina De Cario; Marco Giannini; Giulia Cassioli; Ada Kura; Anna Maria Gori; Rossella Marcucci; Stefano Nistri; Guglielmina Pepe; Betti Giusti; Elena Sticchi
Journal:  Diagnostics (Basel)       Date:  2022-07-22

8.  Expression Patterns of Circulating MicroRNAs in the Risk Stratification of Bicuspid Aortopathy.

Authors:  Evaldas Girdauskas; Niklas Neumann; Johannes Petersen; Tatiana Sequeira-Gross; Shiho Naito; Maria von Stumm; Yskert von Kodolitsch; Hermann Reichenspurner; Tanja Zeller
Journal:  J Clin Med       Date:  2020-01-19       Impact factor: 4.241

  8 in total

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