TABLE 2.

Metabolites with the most power to discriminate ND subjects and DENV-infected groups according to sPLS-DA pairwise multivariate statistics^a

^asPLS-DA pairwise models were built by taking into account the correlated structure of the samples (samples obtained at the onset of symptoms and the defervescence phase). Model uncertainty and validity were assessed by plotting the classification error rate as a function of the number of components on the basis of the leave-one-out validation strategy. For all models, error rates were below 10% (see Fig. S1 in the supplemental material). ↑, an increase in the plasma metabolite concentration in the first group compared to that in the second group; ↓, a decrease in the plasma metabolite concentration in the first group compared to that in the second group; –, metabolites that did not contribute to the discrimination of groups; BCAA, branched-chain amino acids; ND, nondengue patients; DFp, patients with primary infection presenting as dengue fever; DFs, patients with secondary infection presenting as dengue fever; DHFp, patients with primary infection presenting as dengue hemorrhagic fever; DHFs, patients with secondary infection presenting as dengue hemorrhagic fever.