| Literature DB >> 33633583 |
Lianying Guo1, Jun Kuang1, Yu Zhuang1, Jialin Jiang2, Yan Shi3, Cheng Huang1, Changming Zhou1, Puzhi Xu1, Ping Liu1, Cong Wu1, Guoliang Hu1, Xiaoquan Guo1.
Abstract
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.Entities:
Keywords: biomarkers; diagnosis; fatty liver hemorrhage syndrome; gas chromatography time-of-flight mass spectrometry; metabolomics; serum
Year: 2021 PMID: 33633583 PMCID: PMC7900428 DOI: 10.3389/fphys.2021.590638
Source DB: PubMed Journal: Front Physiol ISSN: 1664-042X Impact factor: 4.566