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1.
OMICS ; 11(4): 413-34, 2007.
Article in English | MEDLINE | ID: mdl-18092912

ABSTRACT

Fatal bovine respiratory disease (BRD) is a major cause of financial losses in the cattle industry. A variety of stressors have been implicated as contributing to disease severity. However, it has proven difficult to determine the role these individual factors may play in the final outcome of this disease complex. The objective of the present investigation was to obtain proteomic, metabonomic, and elemental profiles of bovine serum samples from stressed and control animals before and after a primary viral infection to determine if these profiles could distinguish between responses to stressors and viral infection. Multivariate analysis revealed distinct differential trends in the distribution profile of proteins, metabolites, and elements following a stress response both before and after primary viral infection. A group of acute phase proteins, metabolites, and elements could be specifically linked to either a stress response (decreased serum amyloid A and Cu, increased apolipoprotein CIII, amino acids, LDL, P, and Mo) or a primary viral respiratory infection (increased apolipoprotein A1, haptoglobin, glucose, amino acids, LDL and Cu, decreased Lipid, and P). Thus, combined OMICS analysis of serum samples revealed that multimethod analysis could be used to discriminate between the complex biological responses to stress and viral infection.


Subject(s)
Bovine Respiratory Disease Complex/blood , Herpesviridae Infections/veterinary , Stress, Physiological/veterinary , Animals , Blood Chemical Analysis , Blood Proteins/analysis , Blood Proteins/metabolism , Bovine Respiratory Disease Complex/immunology , Bovine Respiratory Disease Complex/virology , Cattle , Disease Susceptibility/immunology , Disease Susceptibility/metabolism , Electrophoresis, Gel, Two-Dimensional , Herpesviridae Infections/blood , Herpesviridae Infections/immunology , Herpesvirus 1, Bovine , Mass Spectrometry , Multivariate Analysis , Nuclear Magnetic Resonance, Biomolecular , Proteomics/methods , Risk Factors , Stress, Physiological/complications
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