TABLE 3.
Indirect effect and direct effect for the association of E-DII with total fat mass through hs-CRP, LBP, and gut microbiome, in MEC-APS participants (n = 1655)1
| Indirect effect2 | Direct effect | |||||
|---|---|---|---|---|---|---|
| Mediator | β | SE | 95% CI | β | SE | 95% CI |
| High sensitivity C-reactive protein, mg/L | 0.092 | 0.034 | 0.031, 0.165 | 0.591 | 0.106 | 0.383, 0.800 |
| Lipopolysaccharide binding protein, μg/mL | 0.095 | 0.031 | 0.038, 0.1593 | 0.588 | 0.108 | 0.377, 0.799 |
| α Diversity (Shannon) | −0.022 | 0.012 | −0.049, −0.003 | 0.705 | 0.111 | 0.486, 0.923 |
| Phyla4 | ||||||
| Actinobacteria | −0.014 | 0.001 | −0.040, 0.005 | 0.698 | 0.111 | 0.479, 0.916 |
| Bacteroidetes | −0.001 | 0.004 | −0.010, 0.005 | 0.684 | 0.111 | 0.466, 0.902 |
| Cyanobacteria | 0.007 | 0.007 | −0.005, 0.024 | 0.676 | 0.111 | 0.458, 0.895 |
| Firmicutes | 0.009 | 0.009 | −0.007, 0.030 | 0.674 | 0.111 | 0.455, 0.892 |
| Fusobacteria | −0.017 | 0.011 | −0.041, 0.001 | 0.700 | 0.111 | 0.481, 0.918 |
| Lentisphaerae | −0.006 | 0.006 | −0.020, 0.003 | 0.689 | 0.111 | 0.471, 0.907 |
| Proteobacteria | −0.004 | 0.006 | −0.018, 0.006 | 0.687 | 0.111 | 0.469, 0.905 |
| Synergistetes | −0.001 | 0.004 | −0.010, 0.009 | 0.684 | 0.111 | 0.466, 0.902 |
| Tenericutes | −0.012 | 0.009 | −0.031, 0.002 | 0.695 | 0.111 | 0.477, 0.913 |
| Verrucomicrobia | −0.008 | 0.007 | −0.025, 0.004 | 0.691 | 0.111 | 0.473, 0.909 |
| Genera4 | ||||||
| Anaerostipes | −0.009 | 0.015 | −0.039, 0.021 | 0.692 | 0.111 | 0.472, 0.912 |
| Bacteroides | −0.007 | 0.009 | −0.027, 0.009 | 0.690 | 0.111 | 0.472, 0.909 |
| Christensenellaceae R-7 group | −0.035 | 0.015 | −0.067, −0.010 | 0.718 | 0.111 | 0.499, 0.937 |
| Collinsella | −0.016 | 0.012 | −0.043, 0.006 | 0.699 | 0.111 | 0.480, 0.918 |
| Coprococcus 2 | 0.021 | 0.018 | −0.013, 0.059 | 0.662 | 0.111 | 0.442, 0.882 |
| Erysipelotrichaceae UCG-003 | 0.022 | 0.011 | 0.003, 0.047 | 0.662 | 0.111 | 0.443, 0.880 |
| Escherichia-Shigella | −0.009 | 0.011 | −0.034, 0.011 | 0.692 | 0.111 | 0.473, 0.911 |
| [Eubacterium] coprostanoligenes group | 0.006 | 0.008 | −0.009, 0.024 | 0.677 | 0.111 | 0.460, 0.895 |
| [Eubacterium] eligens group | 0.020 | 0.022 | −0.023, 0.064 | 0.663 | 0.111 | 0.441, 0.886 |
| [Eubacterium] xylanophilum group | −0.040 | 0.019 | −0.081, −0.005 | 0.723 | 0.111 | 0.503, 0.944 |
| Faecalibacterium | 0.022 | 0.013 | −0.002, 0.049 | 0.662 | 0.111 | 0.443, 0.880 |
| Flavonifractor | −0.038 | 0.014 | −0.069, −0.0133 | 0.721 | 0.111 | 0.503, 0.939 |
| Lachnoclostridium | 0.000 | 0.011 | −0.022, 0.022 | 0.683 | 0.111 | 0.464, 0.902 |
| Lachnospira | 0.003 | 0.014 | −0.025, 0.032 | 0.680 | 0.111 | 0.460, 0.899 |
| Lachnospiraceae NC2004 group | −0.011 | 0.009 | −0.032, 0.002 | 0.694 | 0.111 | 0.476, 0.912 |
| Lachnospiraceae ND3007 group | −0.026 | 0.013 | −0.053, −0.005 | 0.709 | 0.111 | 0.490, 0.927 |
| Lachnospiraceae UCG-001 | −0.014 | 0.009 | −0.034, −0.001 | 0.697 | 0.111 | 0.479, 0.915 |
| Lachnospiraceae; other | −0.001 | 0.010 | −0.023, 0.020 | 0.684 | 0.111 | 0.465, 0.903 |
| Odoribacter | −0.002 | 0.012 | −0.027, 0.020 | 0.686 | 0.111 | 0.467, 0.905 |
| Oscillibacter | −0.008 | 0.008 | −0.027, 0.007 | 0.691 | 0.111 | 0.473, 0.909 |
| Parabacteroides | −0.005 | 0.010 | −0.026, 0.015 | 0.688 | 0.111 | 0.469, 0.906 |
| Ruminiclostridium 5 | −0.009 | 0.015 | −0.038, 0.020 | 0.692 | 0.111 | 0.472, 0.912 |
| Ruminococcaceae UCG-013 | 0.014 | 0.013 | −0.009, 0.041 | 0.670 | 0.111 | 0.451, 0.889 |
| Ruminococcaceae UCG-014 | −0.016 | 0.013 | −0.043, 0.007 | 0.699 | 0.111 | 0.480, 0.918 |
| Ruminococcaceae uncultured | 0.000 | 0.003 | −0.008, 0.007 | 0.684 | 0.111 | 0.466, 0.901 |
| Ruminococcus 1 | −0.007 | 0.017 | −0.040, 0.025 | 0.690 | 0.111 | 0.470, 0.911 |
| [Ruminococcus] gnavus group | −0.072 | 0.021 | −0.116, −0.0363 | 0.756 | 0.111 | 0.536, 0.975 |
| Tyzzerella | −0.059 | 0.018 | −0.098, −0.0273 | 0.742 | 0.111 | 0.524, 0.960 |
Mediation analyses conducted through linear regression using the PROCESS macro for SPSS adjusting for age, education, physical activity, race/ethnicity, sex, smoking status, and antibiotic use. E-DII, Energy-Adjusted Dietary Inflammatory Index; hs-CRP, high-sensitivity C-reactive protein; LBP, lipopolysaccharide binding protein; MEC-APS, Multiethnic Cohort–Adiposity Phenotype Study.
A bootstrap method using iterations of computed samples (5000) was used to determine the significance of the indirect effects.
Significant after Bonferroni adjustment (P < 0.0013).
Centered log ratio transformation for skewed distributions.