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Metabonomics study on the hepatoprotective effect mechanism of polysaccharides from different processed products of Angelica sinensis on layer chickens based on UPLC–Q/TOF–MS/MS, multivariate statistical analysis and conjoint analysis
Author(s) -
Wu Fanlin,
Hu Yonghao,
Ji Peng,
Li Chenchen,
He Jian
Publication year - 2022
Publication title -
biomedical chromatography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.4
H-Index - 65
eISSN - 1099-0801
pISSN - 0269-3879
DOI - 10.1002/bmc.5362
Subject(s) - angelica sinensis , chemistry , chromatography , polysaccharide , traditional chinese medicine , biochemistry , medicine , alternative medicine , pathology
Chicken colibacillosis is one of the most severe diseases in the poultry industry. Ceftiofur sodium (CS) is often used to treat it in clinical practice and lipopolysaccharide (LPS) accumulates in the chicken's body. Previous experimental studies found that CS combined with LPS could induce liver injury in layer chickens, and polysaccharides from charred Angelica sinensis (CASP) had a better hepatoprotective effect than polysaccharides from unprocessed Angelica sinensis (UASP). However, the intervention mechanism was unclear. Thus, UPLC–Q/TOF–MS/MS‐based metabonomics and transcriptomics were used in this study to clarify the hepatoprotective effect mechanism of CASP and UASP in layer chickens. Transcriptomics and enzyme‐linked immunosorbent assay were used for biological verification of some critical mutual metabolic pathways screened with metabonomics. The comprehensive analysis results showed that in a layer chicken liver injury model built with LPS and CS, 12 critical metabolic pathways were disturbed, involving 10 important differential metabolites. The hepatoprotective effect mechanism of CASP is related to the arachidonic acid metabolism and mTOR signaling pathways, involving nine important differential metabolites. In contrast, the hepatoprotective effect mechanism of UASP is related to the arachidonic acid metabolism pathway, involving six important differential metabolites.