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. 2018 Jul 4;9:425. doi: 10.3389/fneur.2018.00425

Table 4.

Linear regression analysis of xenobiotic metabolism-related genes for predicting glutathione activity.

Factor Oxidized Glutathione GSH/GSSG
Model Univariate analysis Multivariate analysis Univariate analysis Multivariate analysis
Genes Coefficient (SE) p-value Coefficient (SE) p-value Coefficient (SE) p-value Coefficient (SE) p-value
GSTM2 −1.526 (0.505) 0.008* 32.762 (9.241) 0.003* 22.895 0.024*
GSTA3 −0.881 (0.346) 0.022* 19.249 (6.399) 0.008*
CYP2A5 −0.587 (0.176) 0.004* 9.231 (3.837) 0.029*
ALDH1A7 −0.432 (0.145) 0.009* 8.993 (2.719) 0.004*
UGT2A1 −0.307 (0.083) 0.002* −0.307 0.002* 5.768 (1.678) 0.003* 3.916 0.029*
CRYL1 −1.863 (1.052) 0.096 NA 42.259 (19.818) 0.049*
AKR1A1 −1.333 (0.699) 0.075 32.038 (12.823) 0.024*
DPYS −0.517 (0.267) 0.071 12.925 (4.817) 0.016*
PON1 −0.111 (0.214) 0.611 5.318 (3.994) 0.202 NA
*

p < 0.05; SE, standard error; NA, not associated. Linear regression analysis was conducted to identify significantly xenobiotic metabolism-related genes affecting oxidized glutathione (OG) and the ratio of reduced glutathione (GSH) to oxidized glutathione (GSSG) in olfactory bulb of mouse brain. The stepwise multiple linear regressions included UGT2A1 and GSTM2 in the final models.