Multivariate analyses of glycolysis enzymes analyzed by SRM. a) Partial least squares discriminant analysis (PLS-DA) scores plot shows the distribution of the different samples in two dimensions, it should be noted that both PCP groups were treated as one class. Good separation was achieved between the model and the control. Also, the plot shows little difference between the samples in the 1 mg and 2.5 mg of PCP models. b) Variable influence on projection (VIP) bar chart shows that Tpi is most important to the separation, as shown in the scores plot. c) The loading plot also identifies Tpi as an important analyte for separation and shows that it is reproducible across samples in a group. Gapdh, Hk, Aldoc and Eno (inside red circle) cluster tightly together.