Health effects of kiwi wine on rats: an untargeted metabolic fingerprint study based on GC-MS/TOF

Zeng, Yun; Song, Hong-Jun; Xu, Xinyi; Mao, Wenjie; Xie, Hui; Liang, Jimin; Chen, Xueli; Chen, Dan

doi:10.1039/c9ra02138h

Cited by 13 publications

(11 citation statements)

References 64 publications

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“…The significantly different metabolites enriched in these pathways were pyruvic acid, succinic acid, fumaric acid, 2-keto-isovaleric acid, glyceric acid, threonine, leucine, l-cysteine, taurine, glycerol, which were all up-regulated in the serum of overfed geese. Notably, pyruvic acid could be found in three metabolic pathways, and it also appeared as a key product in pyruvate metabolism, which can be converted into carbohydrates via gluconeogenesis, to fatty acids or energy through acetyl-CoA, and to amino acids, and ethanol ( Zeng et al, 2019 ). The elevated level of pyruvic acid in the serum of overfed geese might be related to the intensification of energy conversion.…”

Section: Discussionmentioning

confidence: 99%

A Serum Metabolic Profiling Analysis During the Formation of Fatty Liver in Landes Geese via GC-TOF/MS

et al. 2020

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During the process of fatty liver production by overfeeding, the levels of endogenous metabolites in the serum of geese would change dramatically. This study investigated the effects of overfeeding on serum metabolism of Landes geese and the underlying mechanisms using a metabolomics approach. Sixty Landes geese of the same age were randomly divided into the following three groups with 20 replicates in each group: D0 group (free from gavage); D7 group (overfeeding for 7 days); D25 group (overfeeding for 25 days). At the end of the experiment, 10 geese of similar weight from each group were selected for slaughter and sampling. The results showed that overfeeding significantly increased the body weight and the liver weight of geese. Serum enzymatic activities and serum lipid levels were significantly enhanced following overfeeding. Gas chromatography time-of-flight/mass spectrometry (GC-TOF/MS) was employed to explore the serum metabolic patterns, and to identify potential contributors to the formation of fatty liver and the correlated metabolic pathways. Relative to overfeeding for 7 days, a large number of endogenous molecules in serum of geese overfed for 25 days were altered. Continuous elevated levels of pyruvic acid, alanine, proline and beta-glycerophosphoric acid and reduced lactic acid level were observed in the serum of overfed geese. Pathway exploration found that the most of significantly different metabolites were involved in amino acids, carbohydrate and lipid metabolism. The present study exhibited the efficient capability of Landes geese to produce fatty liver, identified potential biomarkers and disturbed metabolic pathways in liver steatosis. These findings might reveal the underlying mechanisms of fatty liver formation and provide some theoretical basis for the diagnosis and treatment of liver diseases.

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Section: Discussionmentioning

confidence: 99%

A Serum Metabolic Profiling Analysis During the Formation of Fatty Liver in Landes Geese via GC-TOF/MS

et al. 2020

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“…Compared with other analytical methods (e.g., LC-MS and NMR spectroscopy), GC-MS has the advantages of low cost, good reproducibility, high resolution, and small matrix effect (Kopka, 2006). In recent years, this method has been widely used in various food control, food genomics, and nutritional metabolomic applications (Christian et al, 2008;Khakimov, Bak, & Engelsen, 2014;Khakimov et al, 2016;Murgia, Scano, Cacciabue, Dessì, & Cabonia, 2019;Zeng et al, 2019). Furthermore, metabolomic studies based on gas chromatography time-of-flight mass spectrometry (GC-TOF-MS) have also been widely used to discover differences between samples (Hao et al, 2018;Yu et al, 2015).…”

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confidence: 99%

Study on the dynamic changes and formation pathways of metabolites during the fermentation of black waxy rice wine

Jiang

et al. 2020

Food Science & Nutrition

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Black waxy rice wine fermentation metabolites are closely related to the product's final quality. However, little is known about dynamic metabolite changes during fermentation. Here, we used gas chromatography time‐of‐flight mass spectrometry (GC‐TOF‐MS) metabolomics and multivariate statistical analysis to explore the relationship between metabolites and fermentation time. A total of 159 metabolites were identified during the entire fermentation process. The PCA analysis revealed a clear separation between the samples after 4 days and 2 days, and the samples after 4–24 days clustered together. This indicated that BGRW fermentation progresses rapidly in the first 48 hr of fermentation. A total of 40 metabolites were identified as differential during fermentation (VIP > 1 and p < .05), including 12 organic acids, four amino acids, one fatty acid, 17 sugars and sugar alcohols, one alcohol, and five other metabolites. Pathway analysis showed that the differential metabolites were involved in 28 metabolic pathways, and the most commonly influenced pathways (impact value > 0.1 and p < .05) were galactose metabolism, pyruvate metabolism; starch and sucrose metabolism; alanine, aspartic acid, and glutamate metabolism; the tricarboxylic acid cycle, glyoxylic acid, and dicarboxylic acid metabolism; and amino sugar and nucleotide sugar metabolism. Moreover, the integrated metabolic pathway was generated to understand the transformation and accumulation of differential metabolites. Overall, these results provide a comprehensive overview of metabolite changes during black waxy rice wine fermentation.

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“…The signi cantly different metabolites enriched in these pathways were pyruvic acid, succinic acid, fumaric acid, 2-keto-isovaleric acid, glyceric acid, threonine, leucine, l-cysteine, taurine, glycerol, which were all upregulated in the serum of overfed geese. Notably, pyruvic acid could be found in three metabolic pathways, and it also appeared as a key product in pyruvate metabolism, which can be converted into carbohydrates via gluconeogenesis, to fatty acids or energy through acetyl-CoA, and to amino acids, and ethanol [35]. The elevated level of pyruvic acid in the serum of overfed geese might be related to the intensi cation of energy conversion.…”

Section: Discussionmentioning

confidence: 99%

A Serum Metabolic Profiling Analysis During the Formation of Fatty Liver in Landes Geese via Gc-tof/ms

Gong

Lyu

Shi

et al. 2020

Preprint

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Background:During the process of fatty liver production by overfeeding, the levels of endogenous metabolites in the serumof geese would change dramatically. This study investigated the effects of overfeeding on serum metabolism of Landes geese and the underlying mechanisms using a metabolomics approach.Results:Sixty Landes geese of the same age were randomly divided into the following 3 groups: D0 group (free from gavage); D7 group (overfeeding for 7 days); D25 group (overfeeding for 25 days). The results showed that overfeeding significantly increased the body weight and the liver weight of geese. Serum enzymatic activities and serum lipid levels were significantly enhanced following overfeeding.Gas chromatography time-of-flight/massspectrometry (GC-TOF/MS) was employed to explore the serum metabolic patterns, and to identify potential contributors to the formation of fatty liver and the correlatedmetabolic pathways. A large number of endogenous molecules in serum were altered, especially at the late stage of overfeeding (7 days to 25 days). Continuous elevated levels of pyruvic acid, alanine, proline and beta-glycerophosphoric acid and reduced lactic acid level were observed in the serum of overfed geese. Pathway exploration found that the most of significantly different metabolites were involved in various amino acids metabolism, carbohydrate metabolismand lipid metabolism.Conclusions: These findings pinpoint specific metabolite changes and identify potential biomarkers for early diagnosis of fatty liver disease, as well as provide insights into the perturbation of metabolic pathways involved in fatty liver formation.

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Health effects of kiwi wine on rats: an untargeted metabolic fingerprint study based on GC-MS/TOF

Abstract: In vivo consumption assays on rats via a metabonomics-based approach provide a positive view of the nutritional function of kiwi wine.

Cited by 13 publications

References 64 publications

A Serum Metabolic Profiling Analysis During the Formation of Fatty Liver in Landes Geese via GC-TOF/MS

A Serum Metabolic Profiling Analysis During the Formation of Fatty Liver in Landes Geese via GC-TOF/MS

Study on the dynamic changes and formation pathways of metabolites during the fermentation of black waxy rice wine

A Serum Metabolic Profiling Analysis During the Formation of Fatty Liver in Landes Geese via Gc-tof/ms

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