Fig. 1

Higher DII associates with variations in the plasmatic expression of multiple inflammatory proteins. (A) Volcano plot, showing how much the plasmatic expression of each of the 368 proteins in subjects with DII > median changes versus the plasmatic expression of the same protein in subjects with DII < median. Data are expressed as fold of changes in log₂ scale on the x axis and as–log10 p value on the y axis. (B) Receiving Operating Curve (ROC) reporting the performance of the machine learning model (as sensitivity and 1-specificity to detect subjects with DII > median including the 368 proteins measured in plasma. The Area Under the Curve (AUC), the upper and lower limits of the 95% confidence interval and the p-value are reported. (C) Random forest classifier plot showing, in descending order, the relative importance of the top predictors for DII > median by the machine learning model