路天怡
中国医学科学院阜外医院 危重症学科
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.
Frontiers in cardiovascular medicine 2021
BACKGROUND:Biomarker-assisted diagnosis of acute aortic dissection (AAD) is important for diagnosis and treatment. However, identification of biomarkers for AAD in blood is a challenging task. The aim of this study is to search for new potentially microRNA (miRNAs) biomarkers in AAD.METHODS:The miRNAs expression profiles in ascending aortic tissue and plasma were examined by microarray analysis in two sets or groups. The tissue group was composed of four patients with AAD and four controls of healthy male organ donors. The plasma group included 20 patients with AAD and 20 controls without cardiovascular disease. Bioinformatics was used to analyze the potential targets of the differentially expressed miRNAs.RESULTS:Our study revealed that in AAD patients, the aortic tissue had 30 differentially expressed miRNAs with 13 up-regulated and 17 down-regulated, and plasma had 93 differentially expressed miRNAs, of which 33 were up-regulated and 60 were down-regulated. Four miRNAs were found to be up-regulated in both aortic tissue and plasma in AAD patients. The predicted miRNA targets indicated the four dysregulated miRNAs mainly targeted genes that were associated with cell-cell adhesion, extracellular matrix metabolism, cytoskeleton organization, inflammation, and multiple signaling pathways related to cellular cycles.CONCLUSIONS:Four miRNAs, which are up-regulated both in aortic tissue and in plasma in AAD patients, have been identified in this study. These miRNAs might be potential diagnostic biomarkers for AAD. Larger sample investigations are needed for further verification.
Journal of geriatric cardiology : JGC 2015
