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Chronic liver disease Chronic liver diseaseChronic liver disease (CLD) is most commonly caused by chronic alcohol abuse (alcohol-related liver disease or ARLD), metabolic disorders (metabolic dysfunction-associated steatotic liver disease or MASLD), and viral hepatitis infections. Chronic liver disease tends to follow an escalating pathological progression, which includes hepatic steatosis (also known as fatty liver), steatosis-dependent or steatosis-independent inflammation (hepatitis), fibrosis (excessive deposition of extracellular matrix) and cirrhosis (scarring of the liver tissue) (Chowdhury AB et al. (2023)). The early stages of CLD are often asymptomatic and can take years to develop into clinical manifestations, meaning that many patients do not seek attention until they reach end-stage liver disease cirrhosis. At this point, the liver’s function is impaired due to scar tissue build up in this organ, and the patient may develop hepatocellular carcinoma (Ginès P et al. (2022); Heyens LJM et al. (2021)). Together, cirrhosis and liver cancer account for 3.5% of all deaths globally, being the 11th and 16th most common leading causes of death, respectively (Asrani SK et al. (2019)). 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
