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. 2022 Oct 10;9:945538. doi: 10.3389/fnut.2022.945538

TABLE 4.

Associations between depression and biomarkers measures by univariate and covariate analyses.

Univariate analysis
Covariate analysis*
β (95% CI) R 2 P-value Adjusted β (95% CI) Adjusted R2 P-value
Immune marker
IL-6 −0.04 (−0.07 to −0.01) 0.04 0.013 −0.04 (−0.07 to −0.01) 0.15 0.013
KP markers
KA −0.30 (−0.46 to −0.14) 0.08 <0.001 −0.27 (−0.43 to −0.10) 0.17 0.002
KAT activity −0.16 (−0.28 to −0.03) 0.04 0.014 −0.10 (−0.23 to 0.03) 0.13 0.123
KMO activity 0.18 (0.004–0.36) 0.02 0.045 0.14 (−0.04 to 0.33) 0.13 0.121
KA/QA ratio −0.29 (−0.44 to −0.14) 0.08 <0.001 −0.22 (−0.37 to −0.06) 0.16 0.006

IL-6, Interleukin-6 (fg/mL per mmol/L creatinine); KA, Kynurenic acid (nmol/L per mmol/L creatinine); KAT, Kynurenine aminotransferase; KMO, Kynurenine 3-monooxygenase; KA/QA, Kynurenic acid/Quinolinic acid ratio; KAT activity is defined by KA/KYN ratio; KMO activity is defined by 3HK/KYN; *Multiple linear regression modelling was performed to adjust for demographic factors including age, sex, DFS, and physical activity. All variables were log2-transformed prior to regression analysis. The β denotes the beta coefficient of the regression model and R2 refers to the coefficient of determinant indicating the goodness-of-fit of the regression analysis. Significant p-value (< 0.05) are denoted in bold. Only biomarkers that showed a significant relationship with depression score were presented in this table. For full analysis of the other biomarkers, refer to Supplementary Table 2.