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Dengue fever Dengue feverDengue fever is a mosquito-borne viral disease caused by dengue virus (DENV) which is prevalent in tropical and subtropical regions worldwide. Symptoms of dengue fever include high fever, intense headaches, pain behind the eyes, joint and muscle pain, nausea, vomiting, and often a rash. After a mosquito bite, the virus infects cells in the dermal and epidermal layers of the skin (Begum F et al. (2019)) and is later transmitted to the lymph nodes in the lymphatic and vascular system, leading to the infection of bone marrow and spleen (Blackley S et al. (2007)). In most cases, the illness lasts up to a week, but in a small number of cases, dengue can develop into severe disease including dengue hemorrhagic fever, which is a severe and life-threatening form. Severe dengue is characterized by abdominal pain, persistent vomiting, fatigue, and rapid breathing. The hemorrhagic forms of dengue present with bleeding gums and nose, as well as blood in vomit and stool. Diagnosis of dengue fever is typically confirmed through a blood test that detects the virus and/or antibodies produced in response to the infection. 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 Human Protein Atlas
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