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In-depth bioinformatic study of the cadherin 5 interactome in patients with thoracic aortic aneurysm unveils 8 novel biomarkers.
European Journal of Cardio-thoracic Surgery 2021 December 28
OBJECTIVES: Thoracic aortic aneurysm (TAA) is characterized by the dilation of the aorta and is associated with poor prognosis if not diagnosed and treated early. In this context, the identification of biomarkers regarding the TAA diagnosis, monitoring and prognosis is crucial. The purpose of the current study was to investigate the differential gene expression profile of the cadherin 5 (CDH5 or VE-Cadherin) gene network in patients with TAA, to propose novel biomarkers.
METHODS: In silico techniques were used to construct the interactome of the CDH5 network, identify the differentially expressed genes (DEGs) in TAA as compared to healthy controls, and uncover the related molecular functions and the regulating miRNAs.
RESULTS: Transcriptomic data of one microarray dataset were included, incorporating 43 TAA and 43 control samples. Eight DEGs were identified; 7 were up-regulated and 1 was down-regulated. A molecular signature of 8 genes (CDH5; Calcitonin Receptor-Like Receptor-CALCRL; Activin A Receptor-Like Type 1-ACVRL1, Tryptophanyl-TRNA Synthetase 1-WARS; Junction Plakoglobin-JUP, Protein Tyrosine Phosphatase Receptor Type J-PTPRJ, Purinergic Receptor P2X 4-P2RX4, Kinase Insert Domain Receptor-KDR) were identified as biomarkers associated with TAA. PTPRJ was associated with excellent discrimination and calibration in predicting TAA presentation. Positive correlations were reported regarding the expression of CDH5-CALCRL, CDH5-ACVRL1, CDH5-WARS and CDH5-PTPRJ. Finally, gene set enrichment analysis indicated the molecular functions and miRNA families (hsa-miR-296-5p, hsa-miR-6836-5p, hsa-miR-6132, hsa-miR-27a-5p and hsa-miR-6773-5p) relevant to the 8 biomarkers.
CONCLUSIONS: These outcomes propose an 8-gene molecular panel associated with TAA.
METHODS: In silico techniques were used to construct the interactome of the CDH5 network, identify the differentially expressed genes (DEGs) in TAA as compared to healthy controls, and uncover the related molecular functions and the regulating miRNAs.
RESULTS: Transcriptomic data of one microarray dataset were included, incorporating 43 TAA and 43 control samples. Eight DEGs were identified; 7 were up-regulated and 1 was down-regulated. A molecular signature of 8 genes (CDH5; Calcitonin Receptor-Like Receptor-CALCRL; Activin A Receptor-Like Type 1-ACVRL1, Tryptophanyl-TRNA Synthetase 1-WARS; Junction Plakoglobin-JUP, Protein Tyrosine Phosphatase Receptor Type J-PTPRJ, Purinergic Receptor P2X 4-P2RX4, Kinase Insert Domain Receptor-KDR) were identified as biomarkers associated with TAA. PTPRJ was associated with excellent discrimination and calibration in predicting TAA presentation. Positive correlations were reported regarding the expression of CDH5-CALCRL, CDH5-ACVRL1, CDH5-WARS and CDH5-PTPRJ. Finally, gene set enrichment analysis indicated the molecular functions and miRNA families (hsa-miR-296-5p, hsa-miR-6836-5p, hsa-miR-6132, hsa-miR-27a-5p and hsa-miR-6773-5p) relevant to the 8 biomarkers.
CONCLUSIONS: These outcomes propose an 8-gene molecular panel associated with TAA.
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