Multivariate data analysis of serum analytes to identify discriminatory features between Rag2−/−
H. hepaticus-infected mice and the uninfected controls. All infected (10 wk +Hh, black squares, n = 8; 20 wk +Hh, green squares, n = 10) and control mice (10 wk −Hh, red squares, n = 6; 20 wk −Hh, blue squares, n = 9) were pooled into two separate groups in this model. (A) A 2D projection of the partial least squares multivariate analysis, which produced clear separation of infected mice and uninfected controls. The model produced R2Y = 0.93 (model fit) and Q2(cum) = 0.91 (model prediction). (B) List of the top VIPs (VIP > 1.0) in the dataset that were most influential on the data separation.