Table 2.
Energy metabolism response to intracerebroventricular infusion of IMD 0354 in KKay mice exposed to PM 2.5
| Phase | Measured index | Method | FA -CON vs PM -CON | PM- CON vs PM- IMD | ||||
|---|---|---|---|---|---|---|---|---|
| Estimate | SE | p- value | Estimate | SE | p -value | |||
| Light + Dark | O2 | Avg | −370.927 | 149.129 | 0.032 | 331.662 | 167.254 | 0.061 |
| RM | −371.022 | 59.968 | 0.000 | 335.500 | 64.236 | 0.000 | ||
| CO2 | Avg | −333.440 | 127.020 | 0.025 | 347.582 | 181.272 | 0.070 | |
| RM | −332.649 | 62.399 | 0.000 | 351.053 | 76.737 | 0.000 | ||
| RER | Avg | 0.000 | 0.009 | 0.985 | 0.011 | 0.016 | 0.473 | |
| RM | 0.000 | 0.006 | 0.989 | 0.011 | 0.009 | 0.205 | ||
| Heat | Avg | −1.826 | 0.722 | 0.030 | 1.694 | 0.855 | 0.061 | |
| RM | −1.825 | 0.303 | 0.000 | 1.712 | 0.336 | 0.000 | ||
| Dark | O2 | Avg | −346.732 | 185.106 | 0.076 | 340.550 | 185.106 | 0.081 |
| RM | −340.496 | 82.903 | 0.000 | 336.695 | 82.903 | 0.000 | ||
| CO2 | Avg | −372.246 | 209.234 | 0.090 | 414.139 | 209.234 | 0.062 | |
| RM | −359.378 | 97.723 | 0.000 | 406.893 | 97.723 | 0.000 | ||
| RER | Avg | −0.016 | 0.017 | 0.360 | 0.028 | 0.017 | 0.117 | |
| RM | −0.012 | 0.010 | 0.248 | 0.026 | 0.010 | 0.012 | ||
| Heat | Avg | −1.781 | 0.958 | 0.078 | 1.809 | 0.958 | 0.073 | |
| RM | −1.743 | 0.433 | 0.000 | 1.786 | 0.433 | 0.000 | ||
O2 consumption, CO2 production, RER and heat production of mice measured by indirect calorimetry over a 24 hrs period (from 10:00 am to 10:00 am the next day) after 5-week PM2.5 exposure. n = 6.
Avg = analysis performed based on mice averages over cycles. Covariates in the model include PM exposure, treatment group, and the interaction between PM and treatment group.
RM = analysis with repeated measurements. The correlation structure within mice was assumed to be autoregressive-1. Covariates in the model include PM, treatment group, PM x treatment interaction, and time.
Mean model using averages over cycles (Avg): E (Y) = b0 + b1PM + b2 Trt + b3 PM*Trt.
Mean model using repeated measures data (RM): E (Y) = b0 + b1PM + b2 Trt + b3 PM*Trt + b4cycle.
Covariance structure: autoregressive-1.