Fig. 6

A–C Sex difference in the principal component analysis (PCA). Factor coordinates of the variables in the first three factors identified using principal component analysis (PCA) for zif268 activation (A). Scree plot for eigenvalues with the total percentage of variance for the first three factors (B). Eigenvalues for the first three factors were significant based on Horn’s parallel analysis. The first three factors explained 70.45% of the variances. A graph showing sex difference in the factor scores of individual samples (C). ANOVA and post hoc revealed males and females showed significant sex difference in the first factor. *Indicates p < 0.05 and ** indicates p < 0.01