Fig. 2

Principal component analysis (PCA)—a scree plot showing the variance of the nine components. The table below is describing the loadings for each of the first four components of the principal component analysis which contain most of the variance of the data. The loadings of each component comprise the weight of each biomarker in the equation that define the particular component. For example, the first component comprises negative weights for IgA, IgG, CRP, Haptoglobin and WBC, and positive weights for albumin, iron and TIBC. (WBC white blood cells, TIBC total iron-binding capacity)