Table 5. A multiple linear regression model for the meTIMP/6-TGN concentration ratio.a .
Parameter | Estimate | 95% CI | P | |
Intercept | 0.44 | −3.32–4.20 | 0.82 | |
CD1D | −1.04 | −1.81–−0.27 | 0.01 | |
TUSC2 | 1.02 | 0.39–1.64 | 0.002 | |
PLCB2 | 1.47 | 0.42–2.52 | 0.007 | |
NT5E | −0.29 | −0.64–0.07 | 0.11 | |
TPMT | 1.31 | 0.28–2.34 | 0.01 | |
Glucocorticosteroids | Yes | 0.57 | 0.14–0.99 | 0.01 |
The regression model is based on the expanded patient cohort (n = 54), using the natural logarithm of the meTIMP/6-TGN concentration ratio as dependent variable and the gene expression levels (dCT values) of CD1D, PLCB2, NT5E, TPMT, TUSC2, and glucocorticosteroid therapy as independent variables. A higher dCT value is associated with a lower gene expression level. R2 = 0.46, P = 3×10−5.