Fig. 5

Serum and CSF metabolomics. A Representative scores plot derived from OPLS-DA modelling on serum CPMG spectral data of DTH and control animals. B Box plots of predictive accuracies from the serum OPLS-DA models of DTH vs. control animals ensemble, against random class ensemble. C Fold change in predictive accuracies of the serum OPLS-DA models of DTH vs. controls at each time point, normalized to random chance (indicated by the horizontal dashed line at 1.0), showing that the greatest serum metabolomics perturbation occurred at day 12. D Representative scores plot derived from OPLS-DA modelling on CSF NOESY-presat spectral data. E Predictive accuracies from the CSF OPLS-DA models of DTH vs. control animals, against random class assignment. F Fold change in predictive accuracies of the CSF OPLS-DA models of DTH vs. controls at each time point (horizontal dashed line at 1.0 indicate random chance), revealing that maximal CSF metabolomics perturbation occurred at day 12. ****p < 0.0001 by Kolmogorov–Smirnov test (B and E). ****p < 0.0001, **p < 0.01 by post hoc Tukey test after one-way ANOVA (C and F). Data presented as mean ± SD in C and F. ANOVA analysis of variance, CPMG Carr–Purcell–Meiboom–Gill, DTH delayed-type hypersensitivity, NOESY nuclear overhauser effect spectroscopy, OPLS-DA orthogonal partial-least square discriminant analysis, SD standard deviation