Table 1 Global significances of the mixed linear model when evaluating the interaction of the type of sample, sex and the age of the pigs.

From: Effect of age and disease on saliva and serum biomarkers of stress, inflammation, immunity, redox and general health status in pigs

 

Age*Sample type*Sex

Age*Sex

Age*Sample

Health*Sample

Stress

    

AA

0.418

0.475

0.040

0.010

BChE

0.791

0.342

< 0.001

0.003

Immune system

    

ADA

0.248

0.179

0.004

< 0.001

IgG

0.308

0.072

< 0.001

< 0.001

Inflammation

    

CRP

0.844

0.336

< 0.001

< 0.001

Hp

0.324

0.879

0.073

0.041

TP

0.452

0.631

< 0.001

0.140

MPO

0.445

0.130

0.016

0.072

Ferri

0.241

0.854

0.025

0.088

Redox status

    

AOPP

0.102

0.735

< 0.001

< 0.001

UA†

 

0.060

< 0.001

 

FRAS

0.240

0.736

0.823

< 0.001

Muscle damage

    

AST

0.990

0.296

< 0.001

0.103

CK

0.761

0.702

< 0.001

0.712

LDH

0.990

0.181

< 0.001

< 0.001

Routine

    

ALP

0.178

0.371

< 0.001

< 0.001

GGT

0.990

0.913

< 0.001

0.865

Urea

0.975

0.280

0.480

0.080

TG

0.973

0.489

0.151

< 0.001

Ca

0.454

0.735

0.197

< 0.001

P

0.751

0.606

0.029

0.120

  1. Sample type interactions were not considered since serum provided values under the lower limit of detection of the assay.