Figure 2.

Differentiation of IC patients and healthy control groups using multivariate statistical analysis. (A) Principal component analysis (PCA) showed a clear separation of NMR peaks between patients and matched control subjects. (B) Partial least-squares discriminant analysis (PLS-DA) score plot of the IC and control groups. Red, control samples; green, IC patient samples. The model was established using three principal components. PLS-DA analysis differentiated IC patients from controls. (C) For model evaluation, the class prediction results based on cross-model validation predictions of the original labeling compared to the permuted data assessed using the separation distance. Histogram shows distribution of separation distance based on permutated data. Red arrow indicates observed statistic (p = 0.012).