Assessment of automated assays for serum amyloid A, haptoglobin (PIT54) and basic biochemistry in broiler breeders experimentally infected with Escherichia coli

Biomarkers of inflammation are valuable tools for health status evaluation in numerous species. However, in poultry, methods for measuring acute phase proteins (APP) are sparse and rely on manual laboratory labour reserving these parameters mainly for research studies with APP as a focus point. To extend the use of APP beyond tightly focused research studies, blood from experimentally infected and control hens was analysed using equipment available in many veterinary clinics in order to identify easily accessible biomarkers of infection. Blood samples from broiler breeders (n = 30) inoculated intratracheally with either Escherichia coli or sterile vehicle were randomly selected at 2, 4 and 7 days post-infection (dpi) and subjected to biochemical analysis. Samples for bacteriological testing were collected, and all animals were subjected to a full necropsy for disease confirmation. Significantly higher levels of serum amyloid A were evident in the infected birds at 2 and 4 dpi (p < 0.01) compared to the controls. Likewise, haptoglobin (PIT54) levels were significantly elevated at 4 dpi (p <0.01) in the infected animal, whilst at 2 dpi magnesium and calcium were significantly lower in the infected group (p < 0.05). Gross pathology and bacteriology confirmed the presence of infection in the E. coli inoculated birds. In conclusion, equipment routinely used in other species for rapid analysis of blood samples, successfully differentiated between sick and healthy birds, hereby, showing great potential as an easily added parameter of evaluation in research studies, and as a valuable decision-making tool for poultry veterinarians.

Automated summary

Biomarkers of inflammation are valuable tools for health evaluation in various species. This study aimed to identify easily accessible biomarkers of infection in poultry by analyzing blood samples from experimentally infected and control hens using equipment available in veterinary clinics. The results showed that the equipment successfully differentiated between sick and healthy birds, demonstrating its potential as an easily added parameter for evaluation in research studies and as a valuable decision-making tool for poultry veterinarians.