scholarly journals Circulating microRNAs: a novel potential biomarker for diagnosing acute aortic dissection

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Jian Dong ◽  
Junmin Bao ◽  
Rui Feng ◽  
Zhiqing Zhao ◽  
Qingsheng Lu ◽  
...  
Keyword(s):  
Aortic Dissection ◽  
Acute Aortic Dissection ◽  
Circulating Micrornas ◽  
Potential Biomarker

scholarly journals Ischemia-Modified Albumin As a Marker for Acute Aortic Dissection: A Prospective Observational Study

2021 ◽  
Author(s):  
Yang zhou ◽  
Xiangping Chai ◽  
Huaping He ◽  
Wen Peng ◽  
Guifang Yang ◽  
...  
Keyword(s):  
Aortic Dissection ◽  
Prospective Observational Study ◽  
Acute Aortic Dissection ◽  
Area Under The Curve ◽  
Cost Effective ◽  
Final Diagnosis ◽  
Net Benefit ◽  
Ischemia Modified Albumin ◽  
Potential Biomarker ◽  
Cobalt Binding

Abstract Background: Delayed or misdiagnosed aortic dissection can lead to death and morbidity. Ischemia-modified albumin (IMA) measures the cobalt binding capability and has been associated with mortality in patients with acute aortic dissection (AAD). However, it is unknown whether IMA levels can differentiate AAD in patients with chest pains.Methods: A total of 100 suspected AAD patients were enrolled in this study. A cobalt-binding assay was used to determine the plasma IMA levels. In addition, the IMA levels of patients in different groups were compared based on the final diagnosis. Results: IMA levels were significantly higher in the AAD group than in the AMI, PE, and other groups (63.98 ± 14.38, 52.57 ± 9.54, 49.26 ± 10.99, 37.99 ± 6.59, respectively) within 24 hours after the onset of symptoms. The area under the curve (AUC) based on the IMA level was 0.810 (95% CI, 0.708–0.897), and the best threshold of IMA was 59.35 u/ml (specificity, 85.7% and sensitivity, 66%). The decision and clinical impact curves indicated that the IMA had an excellent standardized net benefit and could be suitable for patient diagnosis.Conclusion: IMA is elevated in AAD patients. The IMA levels have better performance for AAD than D-dimer and could be a potential biomarker with rapid and cost-effective diagnostic tests for early diagnosis of AAD. However, large-sample studies are needed to verify the findings.

The Role of miR-107 as a Potential Biomarker and Cellular Factor for Acute Aortic Dissection

2020 ◽  
Vol 39 (10) ◽  
pp. 1895-1906
Author(s):  
Zanxin Wang ◽  
Xianmian Zhuang ◽  
Bailang Chen ◽  
Dongjie Feng ◽  
Gang Li ◽  
...  
Keyword(s):  
Aortic Dissection ◽  
Acute Aortic Dissection ◽  
Cellular Factor ◽  
Potential Biomarker

scholarly journals Ischemia-Modified Albumin As A Marker For Acute Aortic Dissection: A Prospective Observational Study

2021 ◽  
Author(s):  
Yang zhou ◽  
Xiangping Chai ◽  
Huaping He ◽  
Wen Peng ◽  
Guifang Yang ◽  
...  
Keyword(s):  
Aortic Dissection ◽  
Prospective Observational Study ◽  
Acute Aortic Dissection ◽  
Area Under The Curve ◽  
Cost Effective ◽  
Final Diagnosis ◽  
Net Benefit ◽  
Ischemia Modified Albumin ◽  
Potential Biomarker ◽  
Cobalt Binding

Abstract Background: Delayed or misdiagnosed aortic dissection can lead to death and morbidity. Ischemia-modified albumin (IMA) measures the cobalt binding capability and has been associated with mortality in patients with acute aortic dissection (AAD). However, it is unknown whether IMA levels can differentiate AAD in patients with chest pains.Methods: A total of 100 suspected AAD patients were enrolled in this study. A cobalt-binding assay was used to determine the plasma IMA levels. In addition, the IMA levels of patients in different groups were compared based on the final diagnosis. Results: IMA levels were significantly higher in the AAD group than in the AMI, PE, and other groups (63.98 ± 14.38, 52.57 ± 9.54, 49.26 ± 10.99, 37.99 ± 6.59, respectively) within 24 hours after the onset of symptoms. The area under the curve (AUC) based on the IMA level was 0.810 (95% CI, 0.708–0.897), and the best threshold of IMA was 59.35 u/ml (specificity, 85.7% and sensitivity, 66%). The decision and clinical impact curves indicated that the IMA had an excellent standardized net benefit and could be suitable for patient diagnosis.Conclusion: IMA is elevated in AAD patients. The IMA levels have better performance for AAD than D-dimer and could be a potential biomarker with rapid and cost-effective diagnostic tests for early diagnosis of AAD. However, large-sample studies are needed to verify the findings.

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

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Na Cheng ◽  
Hao Wang ◽  
Weizong Zhang ◽  
Heng Wang ◽  
Xiang Jin ◽  
...  
Keyword(s):  
Aortic Dissection ◽  
Acute Aortic Dissection ◽  
Density Lipoprotein ◽  
Interaction Network ◽  
Enrichment Analysis ◽  
Absolute Quantitation ◽  
Molecular Change ◽  
Amyloid A ◽  
Potential Biomarker ◽  
Isobaric Tags

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%confident peptides≥2), 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.

scholarly journals Serum amyloid a protein as a potential biomarker in predicting acute onset and association with in-hospital death in acute aortic dissection

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Yuchen He ◽  
Changcheng Ma ◽  
Jia Xing ◽  
Shiyue Wang ◽  
Chao Ji ◽  
...  
Keyword(s):  
Aortic Dissection ◽  
Hospital Mortality ◽  
Serum Amyloid A ◽  
Acute Aortic Dissection ◽  
Serum Amyloid ◽  
Hospital Death ◽  
Enzyme Linked Immunosorbent Assay ◽  
Amyloid A ◽  
Potential Biomarker ◽  
Serum Amyloid A Protein

Abstract Background Acute aortic dissection (AAD) is a life-threatening disorder in vascular surgery with a high early mortality. Serum amyloid A (SAA) is a kind of acute-phase protein with a rapid diagnostic value in other diseases. However, the researches on the performance of SAA for the diagnosis of AAD is still lacking. This retrospective study aimed to evaluate the SAA levels and further explore its potential diagnostic role in AAD patients. Methods SAA levels were measured by enzyme-linked immunosorbent assay (ELISA) in 63 controls and 87 AAD patients. Laboratory examinations were also performed. And relative clinical information was collected from participants included in this study. Results SAA levels were significantly higher in AAD patients than those in healthy controls. SAA levels were independently associated with the risk of AAD. There was a positive significant correlation between SAA and C reactive protein (R = 0.442, and P = 0.001). Based on receiver-operating characteristic (ROC) analysis, the area under the curve (AUC) of SAA for the diagnosis of AAD were 0.942 with optimal cut-off points of 0.427 mg/L. For in-hospital mortality, the AUC of SAA were 0.732 with optimal cut-off points of 0.500 mg/L. According to logistic regression analysis, higher SAA levels represent a higher risk of in-hospital mortality (OR = 1.25; 95%CI: 1.07–1.47; P = 0.005). Conclusion Our findings demonstrated that SAA levels were significantly enhanced in AAD. SAA was closely correlated with inflammatory parameters and coagulation-related parameters in AAD. Furthermore, SAA could be a potential bio-marker for identifying AAD in the early diagnosis. Finally, SAA > 5.0 mg/L are independently related to AAD in-hospital mortality.

scholarly journals Lysophosphatidic Acid May Be a Novel Biomarker for Early Acute Aortic Dissection

2022 ◽  
Vol 8 ◽  
Author(s):  
Xiaogao Pan ◽  
Yang Zhou ◽  
Guifang Yang ◽  
Zhibiao He ◽  
Hongliang Zhang ◽  
...  
Keyword(s):  
Chest Pain ◽  
Aortic Dissection ◽  
Lysophosphatidic Acid ◽  
Symptom Onset ◽  
Acute Aortic Dissection ◽  
Acute Chest Pain ◽  
Sudden Onset ◽  
Coagulation Cascade ◽  
Potential Biomarker ◽  
D Dimer

Background: Misdiagnosis and delayed diagnosis of acute aortic dissection (AAD) significantly increase mortality. Lysophosphatidic acid (LPA) is a biomarker related to coagulation cascade and cardiovascular-injury. The extent of LPA elevation in AAD and whether it can discriminate sudden-onset of acute chest pain are currently unclear.Methods: We measured the plasma concentration of LPA in a cohort of 174 patients with suspected AAD chest pain and 30 healthy participants. Measures to discriminate AAD from other acute-onset thoracalgia were compared and calculated.Results: LPA was significantly higher in AAD than in the AMI, PE, and the healthy (344.69 ± 59.99 vs. 286.79 ± 43.01 vs. 286.61 ± 43.32 vs. 96.08 ± 11.93, P < 0.01) within 48 h of symptom onset. LPA level peaked at 12 h after symptom onset, then gradually decreased from 12 to 48 h in AAD. LPA had an AUC of 0.85 (0.80–0.90), diagnosis threshold of 298.98 mg/dl, a sensitivity of 0.81, specificity of 0.77, and the negative predictive value of 0.85. The ROC curve of LPA is better than D-dimer (P = 0.041, Delong test). The decision curve showed that LPA had excellent standardized net benefits.Conclusion: LPA showed superior overall diagnostic performance to D-dimer in early AAD diagnosis may be a potential biomarker, but additional studies are needed to determine the rapid and cost-effective diagnostic tests in the emergency department.

scholarly journals Diagnostic implication of circulating microRNAs in acute aortic dissection

2018 ◽  
Vol 10 (8) ◽  
pp. E659-E660
Author(s):  
Pengcheng Du ◽  
Jian Dong ◽  
Lei Zhang ◽  
Zhe Chen ◽  
Zhiqing Zhao ◽  
...  
Keyword(s):  
Aortic Dissection ◽  
Acute Aortic Dissection ◽  
Circulating Micrornas

scholarly journals Angiopoietin 2 as a Novel Potential Biomarker for Acute Aortic Dissection

2021 ◽  
Vol 8 ◽  
Author(s):  
Bi Huang ◽  
Li Tian ◽  
Zhaoran Chen ◽  
Liang Zhang ◽  
Wenjun Su ◽  
...  
Keyword(s):  
Aortic Dissection ◽  
Acute Aortic Dissection ◽  
Characteristic Curve ◽  
Bioinformatic Analysis ◽  
Enzyme Linked Immunosorbent Assay ◽  
Aortic Tissue ◽  
Roc Curve Analysis ◽  
Qrt Pcr ◽  
Potential Biomarker ◽  
Angiopoietin 2

Biomarker-assisted diagnosis of acute aortic dissection (AAD) is important for initiation of treatment and improved survival. However, identification of biomarkers for AAD in blood is a challenging task. The present study aims to find the potential AAD biomarkers using a transcriptomic strategy. Arrays based genome-wide gene expression profiling were performed using ascending aortic tissues which were collected from AAD patients and healthy donors. The differentially expressed genes were validated using quantitative reverse transcriptase PCR (qRT-PCR) and western blot. The plasma levels of a potential biomarker, angiopoietin 2 (ANGPT2) were determined in case-control cohort (77 AAD patients and 82 healthy controls) by enzyme linked immunosorbent assay. Receiver operating characteristic curve (ROC) was used to evaluate the diagnostic power of ANGPT2 for AAD. Transcriptome data demonstrated that a total of 18 genes were significantly up-regulated and 28 genes were significantly down-regulated among AAD tissues (foldchange>3.0, p < 0.01). By bioinformatic analysis, we identified ANGPT2 as a candidate biomarker for blood-based detection of AAD. The qRT-PCR and protein expression demonstrated that ANGPT2 increased 2.4- and 4.2 folds, respectively in aortic tissue of AAD patients. Immunohistochemical staining demonstrated that ANGPT2 was markedly increased in intima of the aortic wall in AAD. Furthermore, ANGPT2 was significantly elevated in AAD patients as compared with controls (median 1625 vs. 383 pg/ml, p < 1E-6). ROC curve analysis showed that ANGPT2 was highly predictive of a diagnosis of type A AAD (area under curve 0.93, p < 1E-6). Sensitivity and specificity were 81 and 90%, respectively at the cutoff value of 833 pg/ml. In conclusion, ANGPT2 could be a promising biomarker for diagnosis of AAD; however, more studies are still needed to verify its specificity in diagnosing of AAD.

scholarly journals S100A1 as a potential biomarker for the diagnosis of patients with acute aortic dissection

2021 ◽  
Vol 49 (4) ◽  
pp. 030006052110045
Author(s):  
Chenjun Han ◽  
Qiang Liu ◽  
Yuanmin Li ◽  
Wangfu Zang ◽  
Jian Zhou
Keyword(s):  
Logistic Regression ◽  
Aortic Dissection ◽  
Roc Curve ◽  
Acute Aortic Dissection ◽  
Troponin T ◽  
Area Under The Curve ◽  
Hospital Death ◽  
Clinical Value ◽  
Roc Curve Analysis ◽  
Potential Biomarker

Objective Acute aortic dissection (AAD) is a common life-threatening cardiovascular disease. This retrospective study was conducted to analyze the plasma concentration of S100A1 and its diagnostic value for AAD through receiver operating characteristic (ROC) curve and logistic regression analyses. Methods Seventy-eight patients with AAD and 77 healthy controls were included, and the relevant clinical data for each group were collected. According to the Stanford classification, the AAD patients were divided into types A and B. The plasma levels of S100A1, D-dimer, hypersensitive C-reactive protein, and cardiac troponin T were detected by enzyme-linked immunosorbent assays. Results The S100A1 concentrations in the healthy control, Stanford A, and Stanford B groups were 0.7 ± 0.6, 4.9 ± 2.6, and 3.5 ± 2.2 ng/mL, respectively. The concentration of S100A1 was increased in patients with AAD complicated with aortic regurgitation, pericardial effusion, or in-hospital death. ROC curve analysis showed that the area under the curve was 0.89. Logistic regression analysis revealed that the S100A1 level was an important risk factor for the development of AAD. Conclusion Plasma S100A1 is significantly elevated in patients with AAD, and its concentration has potential clinical value for diagnosing AAD.

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