Dataset Information

GC-TOF-MS-Based Metabolomics Analyses of Liver and Intestinal Contents in the Overfed vs. Normally-Fed Geese.

ABSTRACT: No overt pathological symptoms are observed in the goose liver with severe steatosis, suggesting that geese may host unique protective mechanisms. Gas chromatography time-of-flight mass spectrometry-based metabolomics analyses of liver and intestinal contents in overfed vs. normally fed geese (26 geese in each treatment) were investigated. We found that overfeeding significantly changed the metabolic profiles of liver and intestinal contents. The differential metabolites mainly belong to fatty acids, amino acids, organic acids, and amines. The differential metabolites were involved in glycolysis/gluconeogenesis, glycerolipid metabolism, the pentose phosphate pathway, fatty acid degradation, the sphingolipid signaling pathway, and the biosynthesis of unsaturated fatty acids. Moreover, we determined the biological effects of arachidonic acid (ARA) and tetrahydrocorticosterone (TD) in goose primary hepatocytes and intestinal cells. Data showed that the mRNA expression of arachidonate 5-lipoxygenase (ALOX5) in goose primary intestinal cells was significantly induced by 0.50 mM ARA treatment. Cytochrome P-450 27A1 (CYP27A1) mRNA expression was significantly inhibited in goose primary hepatocytes by 1 µM TD treatment. In conclusion, the formation of goose fatty liver is accompanied by significant changes in the metabolic profiles of liver and intestinal contents, and the changes are closely related to the metabolisms of glucose and fatty acids, oxidative stress, and inflammatory reactions.

SUBMITTER: Zhao M

PROVIDER: S-EPMC7763799 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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GC-TOF-MS-Based Metabolomics Analyses of Liver and Intestinal Contents in the Overfed vs. Normally-Fed Geese.

Zhao Minmeng M Xing Ya Y Liu Lidong L Fan Xiang X Liu Long L Geng Tuoyu T Gong Daoqing D

Animals : an open access journal from MDPI 20201211 12

No overt pathological symptoms are observed in the goose liver with severe steatosis, suggesting that geese may host unique protective mechanisms. Gas chromatography time-of-flight mass spectrometry-based metabolomics analyses of liver and intestinal contents in overfed vs. normally fed geese (26 geese in each treatment) were investigated. We found that overfeeding significantly changed the metabolic profiles of liver and intestinal contents. The differential metabolites mainly belong to fatty a ...[more]

PMID: 33322323

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Project description:(1) Background: The ability to determine the age of ginseng is very important because the price of ginseng depends on the cultivation period. Since morphological observation is subjective, a new scientific and systematic method for determining the age of ginseng is required. (2) Methods: Three techniques were used for a metabolomics approach. High-resolution magic-angle-spinning nuclear magnetic resonance (HR-MAS NMR) spectroscopy was used to analyze powdered ginseng samples without extraction. Ultrahigh-performance liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC-QTOF/MS) and gas chromatography quadrupole time-of-fight mass spectrometry (GC-TOF/MS) were used to analyze the extracts of 4-, 5-, and 6-year-old ginseng. (3) Results: A metabolomics approach has the potential to discriminate the age of ginseng. Among the primary metabolites detected from NMR spectroscopy, the levels of fumarate and choline showed moderate prediction with an area under the curve (AUC) value of more than 0.7. As a result of UPLC-QTOF/MS-based profiling, 61 metabolites referring to the VIP (variable importance in the projection) score contributed to discriminating the age of ginseng. The results of GC×GC-TOF/MS showed clear discrimination of 4-, 5-, and 6-year-old ginseng using orthogonal partial least-squares discriminant analysis (OPLS-DA) to 100% of the discrimination rate. The results of receiver operating characteristic (ROC) analysis, 16 metabolites between 4- and 5-year-old ginseng, and 18 metabolites between 5- and 6-year-old ginseng contributed to age discrimination in all regions. (4) Conclusions: These results showed that metabolic profiling and multivariate statistical analyses can distinguish the age of ginseng. Especially, it is meaningful that ginseng samples from different areas had the same metabolites for age discrimination. In future studies, it will be necessary to identify the unknown variables and to collaboratively study with other fields the biochemistry of aging in ginseng.

Project description:Lion-head goose is the only large goose species in China, and it was one of the largest goose species in the world. Our previous study firstly reported a chromosome-level genome assembly of Lion-head goose (Anser cygnoides), a native breed in South China, through the combination of PacBio, Bionano, and Hi-C technologies. The fat content of foie gras is augmented during its preparation due to the special feeding regimen. Lion-head geese have a strong tolerance of massive energy intake and show a priority of fat accumulation in liver tissue. In this study, we studied for the first time the important differential genes that regulate fatty liver in Lion-head goose. After high-intake feeding, the fatty livers of Lion-head geese were distinctly characterized. The revelation of gene regulation is an important basis for the study of liver development and molecular characteristics for the Lion-head goose. To analyze the excellent fatty liver performance of Lion-head goose at the molecular level, we performed whole transcriptome analysis by high-throughput RNA sequencing to analyze the key regulatory genes that determine the fatty livers in high-intake feeding group compared with the normal livers in normally-fed Lion-head geese. We identified 716 differentially expressed mRNAs, 145 differentially expressed circRNAs, and 39 differentially expressed lncRNAs in the fatty livers in high-intake feeding group compared with the normal livers in normally-fed Lion-head geese, including upregulated and downregulated genes, respectively. GO enrichment analysis showed that these genes were significantly enriched in molecular function, involved in extracellular regions, DNA-binding transcription factor activity, extracellular matrix, heme binding and other life activities. We chose differentially expressed genes involved in either upregulation or downregulation, and we additionally confirmed the accuracy of sequencing at the RNA level. In summary, our research suggested that these differentially expressed genes may play important roles in fatty liver development in Lion-head goose. However, the functions and mechanisms of these significantly differentially expressed genes should be investigated in future studies.

Dataset Information

GC-TOF-MS-Based Metabolomics Analyses of Liver and Intestinal Contents in the Overfed vs. Normally-Fed Geese.

Publications

GC-TOF-MS-Based Metabolomics Analyses of Liver and Intestinal Contents in the Overfed vs. Normally-Fed Geese.

Similar Datasets

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