Table 3.
Biomarker1 | PCA Component Loadings | PLS Component Loadings | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| |||||||||||||
Model 1 | Model 22 | Model 3 | Model 1 | Model 2 | Model 32 | ||||||||
| |||||||||||||
Comp. 1 | Comp. 2 | Comp. 1 | Comp. 2 | Comp. 3 | Comp. 1 | Comp. 2 | Comp. 3 | Comp. 4 | Comp. 5 | Comp. 1 | Comp. 1 | Comp. 1 | |
MPO | 0.58 | 0.10 | 0.36 | −0.42 | 0.10 | 0.08 | 0.36 | −0.34 | 0.26 | 0.22 | 0.71 | 0.54 | 0.48 |
AAT | 0.68 | 0.12 | 0.29 | −0.60 | −0.12 | 0.06 | 0.32 | −0.47 | 0.34 | 0.21 | 0.62 | 0.46 | 0.45 |
NEO | −0.28 | 0.40 | 0.10 | 0.46 | −0.05 | 0.08 | 0.05 | 0.35 | −0.34 | 0.19 | 0.32 | 0.26 | 0.25 |
GLP-2 | −0.24 | −0.57 | −0.13 | 0.20 | 0.73 | −0.09 | −0.08 | 0.46 | 0.51 | 0.01 | 0.01 | −0.01 | 0.05 |
EndoCAb IgG | −0.23 | 0.70 | −0.01 | 0.30 | −0.65 | 0.12 | −0.17 | 0.04 | −0.30 | 0.72 | −0.10 | −0.07 | −0.08 |
CRP | 0.63 | 0.21 | 0.02 | 0.38 | 0.45 | 0.09 | −0.16 | −0.01 | 0.48 | 0.41 | |||
AGP | 0.60 | 0.29 | 0.13 | 0.43 | 0.40 | 0.23 | −0.11 | −0.06 | 0.43 | 0.38 | |||
EndoCAb IgM | 0.22 | −0.43 | −0.36 | −0.07 | −0.06 | −0.27 | |||||||
EndoCAb IgA | 0.27 | −0.28 | 0.04 | 0.27 | 0.49 | 0.08 | |||||||
Total IgG | 0.22 | −0.08 | 0.27 | 0.48 | −0.02 | 0.07 | |||||||
Total IgM | 0.49 | −0.29 | −0.22 | −0.07 | −0.29 | −0.08 | |||||||
Total IgA | 0.47 | −0.12 | 0.11 | 0.09 | −0.15 | 0.30 | |||||||
| |||||||||||||
% of X variance3 | 27.82 | 21.46 | 24.67 | 19.07 | 15.18 | 16.69 | 14.41 | 10.99 | 9.85 | 9.08 | 23.77 | 22.08 | 12.88 |
% of Y variance4 | 2.26 | 3.42 | 4.99 | 5.21 | 5.44 | 8.64 |
Biomarkers were log-transformed and outliers removed prior to analysis. Gray shaded boxes indicated biomarkers not included in the model presented in that column.
PCA Model 2 is the source of the PCA scores used in subsequent analyses: component 1 is the systemic inflammation (SI) score, component 2 is the gut inflammation (GI) score and component 3 is the gut permeability (GP) score. PLS model 3 is the source of the PLS score used subsequently.
Percent of total variance in independent variables (biomarkers) explained by each factor.
Percent of variance in L:M explained by each score model (generated by PLS command; for PCA, based on R2 from regression of log-transformed L:M on PCA components).
Abbreviations: AAT, α-1 antitrypsin; AGP, α-1 acid glycoprotein; Comp, component; CRP, C-reactive protein; EED, environmental enteric dysfunction; EndoCAb, endotoxin core antibody; GLP-2, glucagon-like peptide-2; IgA, immunoglobulin A; IgG, immunoglobulin G; IgM, immunoglobulin M; L:M, lactulose:mannitol ratio; MPO, myeloperoxidase; NEO, neopterin; PCA, principal component analysis; PLS, partial least squares.