Abstract

Each year, bovine respiratory disease (BRD) results in significant economic loss in the cattle sector, and novel metabolic profiling for early diagnosis represents a promising tool for developing effective measures for disease management. Here, 1H-nuclear magnetic resonance (1H-NMR) spectra were used to characterize metabolites from blood plasma collected from male dairy calves (n = 10) intentionally infected with two of the main BRD causal agents, bovine respiratory syncytial virus (BRSV) and Mannheimia haemolytica (MH), to generate a well-defined metabolomic profile under controlled conditions. In response to infection, 46 metabolites (BRSV = 32, MH = 33) changed in concentration compared to the uninfected state. Fuel substrates and products exhibited a particularly strong effect, reflecting imbalances that occur during the immune response. Furthermore, 1H-NMR spectra from samples from the uninfected and infected stages were discriminated with an accuracy, sensitivity, and specificity ≥ 95% using chemometrics to model the changes associated with disease, suggesting that metabolic profiles can be used for further development, understanding, and validation of novel diagnostic tools.

Details

Title
NMR-based metabolomics of plasma from dairy calves infected with two primary causal agents of bovine respiratory disease (BRD)
Author
Santos-Rivera, Mariana 1 ; Fitzkee, Nicholas C. 2 ; Hill, Rebecca A. 2 ; Baird, Richard E. 1 ; Blair, Ellianna 1 ; Thoresen, Merrilee 3 ; Woolums, Amelia R. 3 ; Meyer, Florencia 1 ; Vance, Carrie K. 1 

 Mississippi State University, Department of Biochemistry, Molecular Biology, Entomology, and Plant Pathology, Mississippi State, USA (GRID:grid.260120.7) (ISNI:0000 0001 0816 8287) 
 Mississippi State University, Department of Chemistry, Mississippi State, USA (GRID:grid.260120.7) (ISNI:0000 0001 0816 8287) 
 Mississippi State University, College of Veterinary Medicine, Pathobiology and Population Medicine, Mississippi State, USA (GRID:grid.260120.7) (ISNI:0000 0001 0816 8287) 
Pages
2671
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2776897323
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.