Table 3.
Genera: PCA 1 | ||||
Main | PC 1 | PC 2 | PC 5 | PC 6 |
contributors | (35%) | (21%) | (5%) | (5%) |
Prevotella | 0.102 [0.41] 3 | 0.79 [−0.90] | 0.00 | 0.00 |
Enterococcus | 0.84 [−0.97] | 0.07 [0.22] | 0.01 | 0.00 |
Faecalibacterium | 0.02 | 0.00 | 0.17 [−0.37] | 0.02 |
Blautia | 0.00 | 0.03 | 0.01 | 0.21 [0.50] |
Bifidobacterium | 0.01 | 0.04 | 0.30 [−0.49] | 0.00 |
Gemmiger | 0.00 | 0.02 | 0.15 [0.45] | 0.00 |
Ruminococcus | 0.00 | 0.01 | 0.01 | 0.07 [−0.39] |
un. Ruminococcaceae | 0.00 | 0.01 | 0.01 | 0.21 [−0.57] |
Genera: Multiple regression | ||||
R/R2 | 0.72/0.51 | 0.56/0.32 | 0.64/0.41 | 0.71/0.50 |
Age | 0.16 | 0.92 | 0.13 | 0.12 |
BMI | 0.29 | 0.72 | 0.09 3 | 0.42 |
Glucose | 0.71 | 0.25 | 0.03 4 | 0.76 |
ALT | 0.55 | 0.22 | 0.12 | 0.03 |
AST | 0.73 | 0.48 | 0.10 | 0.03 |
Bilirubin | 0.04 | 0.55 | 0.17 | 0.04 |
1 PCA stands for principle component analysis (based on covariance). Only those principal components that (a) account for the bigger fraction of the total data variance and/or (b) displayed a statistically significant correlation with patients’ characteristics are shown. 2 The values in bold show the two topmost contributions. 3 Factor loadings for variables (taxon relative abundance) are given in square brackets. 4 The values in bold italics and underlined italics are at p ≤ 0.05 and p ≤ 0.10, respectively.