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Fig. 3 | Clinical and Translational Medicine

Fig. 3

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

Fig. 3

Metabolite bioprofiling facilitates discrimination of HCV patients with steatosis (≥33 %). a Represents the coefficient plot from the OPLS-DA analysis showing differences in serum metabolite concentration in the patients with steatosis. b Shows OPLS-DA score plots of serum samples from HCV patients with steatosis. Each data point is representative of the complete metabolite measurement from one HCV patient: red triangle <5 %, green triangle 5–32 %, blue triangle 33–65 %, and black triangle ≥66 %. The x and y-axis represent the latent variable 1 and orthogonal component 2 respectively. R2 is the explained variance; Q2 is the predictive ability of the model; Model significance was assessed using a cross-validated ANOVA based on sevenfold cross validation (R2 = 0.67, Q2 = 0.16, p = 0.11)

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