AUTHOR=Johnson Samanthia R. , Bentley Kelsey , Bowdridge Scott , Ogunade Ibukun M. TITLE=Lipopolysaccharide-induced alterations in the liver metabolome of St. Croix and Suffolk sheep JOURNAL=Frontiers in Animal Science VOLUME=5 YEAR=2024 URL=https://www.frontiersin.org/journals/animal-science/articles/10.3389/fanim.2024.1407533 DOI=10.3389/fanim.2024.1407533 ISSN=2673-6225 ABSTRACT=
The development of resistance in parasites due to overuse of anthelmintics has resulted in a marked decrease in the efficacy of these drug classes. Recent research efforts have focused on exploring alternatives such as selection for parasite-resistant breeds with the implication that immunocompetence may align with parasite resistance. Two breeds that are often investigated are the St. Croix (STC), a resistant hair breed, and Suffolk (SUF), a susceptible wool breed sheep. The liver plays a vital role in metabolism in the body and metabolizes lipopolysaccharide (LPS), which triggers whole body response through the production of appropriate metabolites, cytokines and immune cells. The objective of this study was to investigate the breed differences in liver metabolome of sheep, with divergent resistance to parasites, in response to LPS. Both STC and SUF sheep (n = 9/breed) were challenged with LPS intravenously. Rectal temperatures and sheep grimace score (SGS) were recorded hourly, for each animal, and averaged across the study for both breeds. The average rectal temperature throughout the study was similar for STC and SUF sheep (40.4°C and 40.2°C respectively), but the pattern of response was different. STC had an average SGS of 0.8 while SUF had an average of 3.3. Liver biopsies were collected from 3 sheep that were not challenged with LPS (HR0; n = 3/breed), two hours post-challenge (HR2; n = 3/breed), and six hours post-challenge (HR6; n = 3/breed). Liver tissue samples were subjected to quantitative untargeted metabolome analysis using chemical isotope labeling/liquid chromatography-mass spectrometry. Pathway analysis of the HR0 metabolome data revealed that 8 pathways (and their associated metabolites) including beta-alanine metabolism, arginine and proline metabolism and glutathione metabolism were altered (false discovery rate-adjusted