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Abdominal aortic aneurysm Abdominal aortic aneurysmAbdominal aortic aneurysm (AAA) is an enlargement or bulge in the part of the aorta that extends through the belly or abdomen (abdominal aorta). An underlying weakness in the aorta's wall could cause an AAA to form, and many environmental and hereditary factors play a part in this weakness. These include smoking, male sex, and family history (Sakalihasan N et al. (2018)). In 2019, 172 000 deaths globally were attributed to AAA (Krafcik BM et al. (2024)). Rupture of the abdominal aorta is a surgical emergency which if left untreated, has a 100% fatality rate (Hultgren R et al. (2016)). The mortality rate is still high in treated patients with ruptured AAA (rAAA), ranging from 20 to 60%. Currently, the only viable treatment option is surgical intervention before rupture. The recommended intervention limit for AAA is an aortic diameter of 55 mm for men, and 50 mm for women. While several biological processes and risk factors have been identified that contribute to AAA pathogenesis, the order of the pathological events and their direct contribution to AAA is not yet understood. However, in contrast to many other cardiovascular diseases, type 2 diabetes seems to have a protective effect of AAA (Shanmuganathan G et al. (2024)). Differential Abundance Analysis ResultsThis section presents the results of the differential protein abundance analysis, visualized through a volcano plot and summarized in the accompanying table for all three comparisons: 1) disease vs. healthy samples, 2) disease vs. diseases from the same class, and 3) disease vs. all other diseases. Disease vs Healthy
Disease vs Class
Disease vs All other
Figure 1: In the volcano plot, proteins are plotted based on their fold change (logFC) on the x-axis and the statistical significance of the change (-log10 adjusted p-value) on the y-axis. Proteins considered differentially abundant are highlighted, defined by an adjusted p-value < 0.05 and an absolute logFC > 0.5.
Table 1: The summary table lists the results for all comparisons, sorted by p-value by default. It includes key metrics such as fold change and adjusted p-value, to allow exploration of the most significant proteins for each comparison.
Figure 1: In the volcano plot, proteins are plotted based on their fold change (logFC) on the x-axis and the statistical significance of the change (-log10 adjusted p-value) on the y-axis. Proteins considered differentially abundant are highlighted, defined by an adjusted p-value < 0.05 and an absolute logFC > 0.5.
Table 1: The summary table lists the results for all comparisons, sorted by p-value by default. It includes key metrics such as fold change and adjusted p-value, to allow exploration of the most significant proteins for each comparison.
Figure 1: In the volcano plot, proteins are plotted based on their fold change (logFC) on the x-axis and the statistical significance of the change (-log10 adjusted p-value) on the y-axis. Proteins considered differentially abundant are highlighted, defined by an adjusted p-value < 0.05 and an absolute logFC > 0.5.
Table 1: The summary table lists the results for all comparisons, sorted by p-value by default. It includes key metrics such as fold change and adjusted p-value, to allow exploration of the most significant proteins for each comparison.
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The Project
The Human Protein Atlas
The Human Protein Atlas project is funded
