Project description:This study aimed to establish a chronic proximal thoracic aortic aneurysm(cPTAA) model by combining periaortic elastase application and 90-day oral 3-aminopropionitrile fumarate salt(BAPN) administration.Transcriptome Sequencing was performed using Illumina Novaseq platform in 7 murine cPTAAs or 5 sham-operated proximal thoracic aortas.The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses revealed the differentially expressed genes were most enriched in immune and inflammation related pathways.
Project description:Descending thoracic aortic aneurysms and dissections can go undetected until severe and catastrophic, and few clinical indices exist to screen for aneurysms or predict their risk of dissection or rupture. This study generated a plasma proteomic dataset from 150 patients with descending thoracic aortic disease and 52 controls to identify proteomic signatures capable of differentiating descending thoracic aortic disease from non-disease controls, as well as between cases with aneurysm versus descending ‘type B’ dissection. Of the 1,468 peptides and 195 proteins quantified across all samples, 853 peptides and 99 proteins were quantitatively different between disease and control patients (BH adjusted p-value < 0.01 from t-tests). Supervised machine learning (ML) methods were used to classify disease from control and aneurysm from descending dissection cases. The highest precision-recall area under the curve (PR AUC) was achieved on the held-out test set using significantly different proteins between disease and control patients (PR AUC 0.99), followed by input of significant peptides (PR AUC 0.96). Despite no statistically significant proteins between aneurysm and dissection cases, use of all proteins was able to modestly classify between the two disease states (PR AUC 0.77). To overcome correlation in the proteins and enable biological pathway analysis, a disease versus control classifier was optimized using only seven unique protein clusters, which achieved comparable performance to models trained on all/significant proteins (accuracy 0.88, F1-score 0.78, PR AUC 0.90). Model interpretation with permutation importance revealed that proteins in the most important clusters for differentiating disease and control function in coagulation, protein-lipid complex remodeling, and acute inflammatory response.
Project description:Thoracic Aortic Aneurysm (TAA) is characterized by the dilation and degradation of the aorta and is fatal if not diagnosed and treated appropriately. There are no specific clinical symptoms, so better knowledge of the physiopathology of TAAs and their underlying genetic mechanisms is needed to improve diagnosis and therapy. MiRNAs regulate gene expression post-transcriptionally and are known to be involved in cerebrovascular disease. The current study aimed to identify differentially expressed miRNAs in patients with TAAs and determine whether their predicted target genes could be associated with this condition. Nanostring assays identified miRNAs in plasma and tissue samples from four TAA patients. RT-PCR validated the expression levels of these miRNAs in a further 22 plasma samples. Three, hsa-miR140-5p, hsa-miR-191-5p and hsa-miR-214-3p showed significant expression level differences between plasma samples collected pre- and post-surgically from each patient. Analyses of the predicted target gene controlled by these miRNAs revealed nine genes whose expression was investigated in the same 22 plasma samples. The gene expression levels were inversely correlated with the expression of their respective miRNAs. From these, CCND2, CRKL, HEY1, MTMR4, NFIA and PPP1CB, showed fold-change differences >1.5 between the two plasma samples. An in-depth literature search and Cytoscape software three genes; MTMR4, NFIA and PPP1CB, showed a possible association with the TGF-β signalling pathway. It is suggested that the three miRNAs detected together with their target genes could play a role in the TGF-β signalling pathway and thus be involved in TAA pathogenesis.
Project description:We conducted single-cell RNA sequencing (scRNA-seq) on CD4+ T cells of the aneurysmal aorta and the corresponding splenic cells, in order to unveil the diversity of CD4+ T Cell in Abdominal Aortic Aneurysms.
Project description:Thoracic aortic aneurysms have a higher prevalence in male patients compared to female patients. Marfan syndrome causes a hereditary form of TAA with dilation of the aortic root. Male patients with Marfan syndrome are more likely than women to have aortic dilation and dissection and mouse models of Marfan syndrome demonstrate larger aortic roots in males compared to females even after adjustment for body size. Similar sex disparities are present in patients and models of abdominal aortic aneurysms where estrogen has been demonstrated to attenuate aneurysm formation perhaps through anti-inflammatory mechanisms. In this study we demonstrate the effects of estrogen on aortic dilation and rupture in a Marfan mouse model and we investigate if these effects operate through suppression of complement components of the immune system.
Project description:Aortic aneurysm is a highly age- and sex-dependent cardiovascular disease in human, which men are at 4 to 6 times higher risk than women. We recently established an age-dependent animal model in which aldosterone and high salt administration induces aortic aneurysms in 10-month-old wildtype male mice. But whether it exhibits sex differences as in human remains unknown. The current study reports that androgen is a main driver for the sexual dimorphic response to aldosterone and high salt induced aortic aneurysms in mice. To explore the mechanism, aortas were isolated from three groups of mice as described below for transcriptomic profiling.