Metabolomic profiling of goslings with visceral gout reveals a distinct metabolic signature.

Abstract

1.The objective of the experiment was to analyse serum profiles of goslings with visceral gout and compare them with those of healthy individuals to identify differentially-abundant metabolites as potential biomarkers. 2.Untargeted gas chromatography and time-of-flight mass spectrometry (GC-TOF-MS) metabolomic profiling was used to compare the serum metabolome of 15 goslings (Anser cygnoides) with gout and 15 healthy goslings (control). 3.Goslings with gout had a metabolic profile distinct from that of the controls, with 45 metabolite levels differing significantly (VIP > 1; P < 0.05) between both groups. Nine metabolites (hydrocortisone, glucose, trans-4-hydroxy-L-proline, galactose, 2-deoxy-D-galactose, beta-mannosylglycerate, d-glucoheptose, zymosterol, and hypoxanthine) were selected through receiver operating characteristics (ROC) analysis (area under curve (AUC) score ≥0.85) as potential biomarkers. Pathway analysis revealed that metabolites with differing levels were mainly involved in galactose, arginine and proline and purine metabolisms. 4.These results provided new insights into the pathogenesis of gout. Increased xanthine and hypoxanthine with decreased hydrocortisone provide promising biomarkers for gosling gout diagnosis. The findings suggested that hepatic metabolic disorders frequently occur in the development of avian gout.

• Authors: Y Xi, S Ying, C Shao, H Zhu, J Yan, Z Shi
• Journal: British poultry science (Br Poult Sci) Vol. 61 Issue 3 Pg. 258-265 (Jun 2020) ISSN: 1466-1799 [Electronic] England
• PMID: 32079416 (Publication Type: Journal Article)

Chemical References

• Biomarkers

Topics

• Animals
• Anseriformes
• Biomarkers
• Bird Diseases
• Gout (veterinary)
• Metabolome
• Metabolomics
• ROC Curve