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Table 2 Energy metabolism response to intracerebroventricular infusion of IMD 0354 in KKay mice exposed to PM 2.5

From: Central IKKβ inhibition prevents air pollution mediated peripheral inflammation and exaggeration of type II diabetes

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

  1. 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.
  2. 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.
  3. 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.
  4. Mean model using averages over cycles (Avg): E (Y) = b0 + b1PM + b2 Trt + b3 PM*Trt.
  5. Mean model using repeated measures data (RM): E (Y) = b0 + b1PM + b2 Trt + b3 PM*Trt + b4cycle.
  6. Covariance structure: autoregressive-1.