Figure 3.

Potential biomarkers of gut microbiota in GD patients

(A) Top 12 biomarker genus categories identified using random forests. Biomarker taxa are ranked in descending order of importance to the accuracy of the model. The insert represents 10-fold cross-validation error as a function of the number of input classes used to differentiate GD patients in order of variable importance.

(B) The ROC curve was used to assess the diagnostic accuracy of the 12 genera based on random forest results.Heatmap showing abundance of 12 genera based on random forest results. Species cluster shows that two groups can be clearly separated. The color of the spot corresponds to the Log10transformed relative abundance of each genera.

(C) The relationships among 10 clinical parameters and the relative abundance of the 12 genera in the GD and Con groups were estimated using Spearman correlation analysis. Heatmaps showing correlations between clinical factors and gut microbiota at genus level. Color intensity represent magnitude of correlation. Red = positive correlations; blue = negative correlations. ‘∗’ denotes adjusted p < 0.05; ‘∗∗’ denotes adjusted p < 0.01.