Research Article
Discrimination of Traditional Chinese Medicine Syndromes in Type 2 Diabetic Patients Based on Metabolomics-Proteomics Profiles
Figure 2
Metabolomics analysis of serum samples in T2DM patients with / without damp-heat syndrome (DHS). (a) Two-dimensional PCA score plot representation for QC samples, red dots represented non-DHS samples and blue dots represented DHS samples. The position of the point in the graph was determined by all the metabolites in the sample. (b) Score scatter plot of OPLS-DA model for group DHS (red) vs. non-DHS (blue). (c) Permutation test of OPLS-DA model for group DHS vs. non-DHS. The metabolomics analysis of serum samples from T2DM patients with or without DHS. In the figure, the horizontal axis represented the retention of the replacement test, the longitudinal axis represented the value of R2Y or Q2, the green dot represented the R2Y value acquired from replacement detection, the blue square point was the value of Q2. (d) The volcano diagram exhibited differentially abundant metabolites (DHS vs. Non-DHS group). Remarkably differentially abundant metabolites were encoded via color: red and blue were represented upregulated and downregulated metabolites, respectively. Two clusters composed of twenty-two metabolites revealing significant differences. (e) The clustering heat plot for differentially abundant metabolites. The vertical and horizontal axis respectively reflected differentially abundant metabolites and sample. Red and blue represented positive and negative correlation, respectively. (f) The analysis of enrichment of differentially abundant pathways. The pathway name was displayed; the higher the red intensity, the smaller the value of P; the larger size of circle indicated higher impact.
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