Table 2.
Phyla: PCA 1 | ||||
Main | PC 1 | PC 2 | PC 3 | PC 4 |
contributors | (65%) | (18%) | (11%) | (5%) |
Bacteroidetes | 0.492 [−0.96] 3 | 0.29 [−0.23] | 0.04 | 0.01 |
Firmicutes | 0.48 [0.91] | 0.29 [−0.39] | 0.00 | 0.06 |
Proteobacteria | 0.01 | 0.14 | 0.25 [0.03] | 0.14 [0.98] |
Actinobacteria | 0.01 | 0.23 [0.97] | 0.59 [−0.18] | 0.00 |
Verrucomicrobia | 0.00 | 0.05 | 0.04 | 0.78 [−0.13] |
Phyla: Multiple regression | ||||
R/R2 | 0.54/0.29 | 0.53/0.28 | 0.61/0.37 | 0.57/0.33 |
Age | 0.70 | 0.09 4 | 0.38 | 0.16 |
BMI | 0.39 | 0.21 | 0.37 | 0.21 |
Glucose | 0.13 | 1.00 | 0.07 | 0.70 |
ALT | 0.84 | 0.68 | 0.11 | 0.12 |
AST | 0.51 | 0.61 | 0.80 | 0.17 |
Bilirubin | 0.13 | 0.20 | 0.70 | 0.10 |
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.