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Coronary artery calcification Coronary artery calcificationCoronary artery calcification (CAC) is the build-up of plaque in the coronary arteries, resulting in reduced vascular compliance, abnormal vasomotor responses, and impaired myocardial perfusion (Kronmal RA et al. (2007)). CAC is calculated as a score by computer tomography (CT), which is used to identify individuals at the risk of developing atherosclerotic cardiovascular disease (ASCVD). People living with ASCVD have a high risk of getting an ischaemic heart disease (IHD), which is the leading cause of global mortality (Roth GA et al. (2020)). Symptoms can include chest pain (angina), shortness of breath and fatigue. Higher CAC scores are associated with age, male sex, white ethnicity, hypertension, BMI, diabetes, glucose, and family history of heart attack. Low- and high-density lipoprotein cholesterol and creatinine are known predictors of CAC progression. 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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Contact
The Project
The Human Protein Atlas
The Human Protein Atlas project is funded
