A quantitative metabolomics profiling approach for the noninvasive assessment of liver histology in patients with chronic hepatitis C.

The sera of patients with necroinflammation (A2–3) were distinguished from the rest of the necroinflammatory samples, based on differences in 17 spectral features (Table 2 ) in an OPLS-DA model with a variation of R 2 = 0.405, Q2 = 0.102 and was weakly significant CV-ANOVA p = 0.10 (Fig. 2 b).

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Results In total 63 spectral features were profiled, of which a highly significant subset of 21 metabolites were associated with advanced fibrosis (variable importance score >1 in multivariate modeling; R 2 = 0.673 and Q 2 = 0.285).

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