4.6 Article

Serum Metabolomic Profiling to Reveal Potential Biomarkers for the Diagnosis of Fatty Liver Hemorrhagic Syndrome in Laying Hens

Journal

FRONTIERS IN PHYSIOLOGY
Volume 12, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fphys.2021.590638

Keywords

fatty liver hemorrhage syndrome; serum; gas chromatography time-of-flight mass spectrometry; diagnosis; biomarkers; metabolomics

Categories

Funding

  1. National Natural Science Foundation of China [31460679]
  2. Key Programs of the Natural Science Foundation of Jiangxi Province of China [2017ACB20012]

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This study established a model of FLHS in laying hens induced by feeding a high-energy, low-protein diet, and identified 40 differential metabolites closely related to the occurrence and development of FLHS through GC-TOF-MS analysis of serum. 10 potential biomarkers with high diagnostic values were discovered, providing insights into early risk evaluation and further understanding of FLHS development.
Fatty liver hemorrhage syndrome (FLHS), a nutritional and metabolic disease that frequently occurs in laying hens, causes serious losses to the poultry industry. Nowadays, the traditional clinical diagnosis of FLHS still has its limitations. Therefore, searching for some metabolic biomarkers and elucidating the metabolic pathway in vivo are useful for the diagnosis and prevention of FLHS. In the present study, a model of FLHS in laying hens induced by feeding a high-energy, low-protein diet was established. Gas chromatography time-of-flight mass spectrometry (GC-TOF-MS) was used to analyze the metabolites in serum at days 40 and 80. The result showed that, in total, 40 differential metabolites closely related to the occurrence and development of FLHS were screened and identified, which were mainly associated with lipid metabolism, amino acid metabolism, and energy metabolism pathway disorders. Further investigation of differential metabolites showed 10 potential biomarkers such as 3-hydroxybutyric acid, oleic acid, palmitoleic acid, and glutamate were possessed of high diagnostic values by analyzing receiver operating characteristic (ROC) curves. In conclusion, this study showed that the metabolomic method based on GC-TOF-MS can be used in the clinical diagnosis of FLHS in laying hens and provide potential biomarkers for early risk evaluation of FLHS and further insights into FLHS development.

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