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Bacterial gastroenteritis Bacterial gastroenteritisAcute bacterial gastroenteritis is a condition characterized by inflammation in the gastrointestinal tract due to a bacterial infection (Sattar SBA et al. (2024)). The most common bacteria responsible for bacterial gastroenteritis include Salmonella spp, Campylobacter, Shigella and certain strains of Escherichia coli. Gastroenteritis may also be caused by viruses and parasites. Acute bacterial gastroenteritis poses a significant health risk due to its potential to cause severe dehydration from vomiting and diarrhea. Typical symptoms of the infection include nausea, vomiting, fever, abdominal cramps, and diarrhea. In severe instances, the disease may lead to dehydration and electrolyte imbalance. Infections may also translocate to the blood and cause sepsis. If left untreated it can potentially culminate in kidney failure or fatality. Infections are diagnosed through detection of the bacteria in the stool. Blood tests may be used to assess the severity of the infection and can provide insights into how the body responds to bacterial toxins. 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
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