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Pediatric systemic inflammatory disease Pediatric systemic inflammatory diseasePediatric systemic inflammatory disease includes Kawasaki disease and Multisystem Inflammatory Syndrome in Children (MIS-C). Kawasaki Disease Kawasaki disease is an acute febrile vasculitis primarily affecting children under the age of five. The etiology remains incompletely understood; however, evidence suggests that a combination of infectious and genetic factors may contribute to its development. Common symptoms include persistent high fever, conjunctival injection (red eyes), skin rashes, read and cracked lips, swollen and red hands and feet, as well as enlarged lymph nodes. If left untreated, Kawasaki disease can lead to serious long-term complications, particularly involving alterations to the coronary arteries. CDC - Kawasaki disease, NHS - Kawasaki disease MIS-C MIS-C is a severe hyper-inflammatory condition that can arise in children 2 to 8 weeks after a SARS-CoV-2 infection. The symptoms are often persistent high fever, skin rashes, conjunctivitis (red eyes), mucocutaneous inflammation (oral, hands, or feet), acute gastrointestinal symptoms (diarrhea, vomiting, or abdominal pain), myocarditis, and, in severe cases, multiorgan involvement, hypotension, and systemic shock. The clinical presentation and laboratory findings of MIS-C bear significant resemblance to Kawasaki disease, making differentiation between the two conditions challenging, particularly in younger patients. WHO - clinical management of COVID-19, WHO - clinical management of COVID-19: living guideline 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