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Table 4 Mediation effect of serum cGMP level on the association between diesel exhaust exposure and biosensor responses in 124 DETs and 123 non-DETs

From: Circulatory metabolites trigger ex vivo arterial endothelial cell dysfunction in population chronically exposed to diesel exhaust

Mediator

Biosensor

Mediator biosensor assoa

Diesel biosensor assoa

Mediation effectb

Est (b)

SE

Raw P

Est (c')

SE

Raw P

PM

P perm

Individual mediator

         

 cGMP

Biosensor PC1

− 0.669

0.251

0.008

0.204

0.119

0.087

0.232

0.02

 

CCL5

− 0.555

0.228

0.016

0.210

0.106

0.049

0.196

0.01

 

ICAM

− 0.616

0.294

0.037

0.167

0.136

0.222

0.253

0.055

 

SELP

− 0.460

0.207

0.027

0.144

0.096

0.136

0.228

0.01

 

VCAM

− 0.858

0.367

0.020

0.283

0.170

0.097

0.218

0.025

 Tail DNA %c

Biosensor PC1

0.062

0.030

0.042

0.110

0.138

0.423

0.528

0.035

 

CCL5

0.074

0.027

0.007

0.119

0.122

0.332

0.553

0.005

 

ICAM

0.058

0.035

0.102

0.038

0.159

0.811

0.752

0.055

 

SELP

0.033

0.025

0.182

0.088

0.112

0.432

0.427

0.07

 

VCAM

0.109

0.045

0.016

0.093

0.202

0.645

0.699

0.02

Double mediatorc

         

 cGMP

Biosensor PC1

− 0.607

0.274

0.028

0.078

0.137

0.572

0.667

0.015

 Tail DNA %

Biosensor PC1

0.051

0.030

0.095

     

 cGMP

CCL5

− 0.589

0.248

0.018

0.085

0.122

0.485

0.679

 < 0.005

 Tail DNA %

CCL5

0.065

0.027

0.019

     

 cGMP

ICAM

− 0.565

0.324

0.082

0.005

0.160

0.977

0.970

0.025

 Tail DNA %

ICAM

0.049

0.036

0.172

     

 cGMP

SELP

− 0.487

0.227

0.033

0.061

0.112

0.587

0.607

0.015

 Tail DNA %

SELP

0.025

0.025

0.311

     

 cGMP

VCAM

− 0.799

0.410

0.052

0.047

0.202

0.814

0.846

0.005

 Tail DNA %

VCAM

0.096

0.045

0.035

     
  1. aInternal dose of diesel exhaust exposure was defined as urinary PC extracted from six urinary metabolites which has shown an excellent association with diesel exhaust exposure status. This PC was converted into an ordered categorical variable with three values (0, 1, 2) with each group having same number of subjects to calculate the estimate for the dose–response. Generalized linear model was used to assess association (c') between internal dose of diesel exhaust exposure and ex vivo biosensor PC with age, obesity, internal of for cigarette smoke exposure, passage of cells, and mediators (e.g., natural-log transformed serum metabolite levels or tail DNA %, b) as covariate for adjustment
  2. bThe proportion mediated effect size that quantifies the proportion of a total effect mediated was calculated using the following equation: ab / (ab + c'). The database was permuted for 200 times to generate a null distribution of a*b. Pperm was calculated as the number of permuted databases generating an a*b that is greater than observed value divided by 200. For analyses involving double mediators, sum of a*b was calculated
  3. cAny analyses involving Tail DNA% were conducted in 105 DETs and 119 non-DETs. Metabolite biosensor association was quantified with every 10% increase in tail DNA %