1H-NMR Metabolomics Analysis of the Effect of Rubusoside on Serum Metabolites of Golden Hamsters on a High-Fat Diet

Li, Li; Jiang, Man-Jing; Li, Yaohua; Su, Jianguo; Qu, Xiaosheng; Fan, Lan-Lan

doi:10.3390/molecules25061274

Cited by 10 publications

(5 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…RS contains diterpene compounds such as rubusoside -a natural sweetener which is 115 times sweeter than sucrose, avonoids, polyphenols, and triterpenoid compounds [13][14][15][16]. Recent research showed that the total extract of RS, the polyphenols of RS, or puri ed rubusoside affect lipid metabolism disorder and improve the obesity phenotype [17], hyperlipidemia, or reduce blood lipid content and blood pressure [18][19][20]. However, the exact molecular mechanism still remains unknown.…”

Section: Introductionmentioning

confidence: 99%

Rubus Suavissimus Alleviates High-fat Diet-induced Lipid Metabolism Disorder via Modulation of the PPAR / SREBP Pathway in Syrian Golden Hamsters

Jiang

Huang

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

Background: Rubus suavissimus S. Lee (RS), a sweet plant distributed in southwest of China and used as beverage and folk medicine, has been reported to improve the obesity phenotype and hyperlipidemia. However, the exact molecular mechanism remains unknown.Aim of the study: In this study, we aimed to investigate the preventive effects of RS in lipid metabolism disorder golden hamsters caused by high-fat diet and elucidate the potential molecular mechanisms.Method: Five groups of male LVG Syrian golden hamsters were compared: normal diet group (ND), high-fat diet group (HFD), Xuezhikang Cap group (140 mg/kg; HFD+XZK), low dose of RS group (3.6 g/kg; HFD+RSL), high dose of RS group (7.2 g/kg; HFD+RSH). After eight weeks, biochemical and pathological analyses were conducted to evaluate the preventive eﬀect of RS on lipid metabolism. RT-qPCR, and western blotting analysis were used to explore the potential mechanism underlying.Results: Supplementation of a high-fat diet with RS prevented the symptoms of lipid metabolism disorder of golden hamsters and alleviated liver injury. RS upregulated the expression of the PPAR pathway mediators PPARγ and PPARα as well as its downstream targets CCAAT/enhancer binding protein α (C/EBPα), glucose transporter 4 (Glut4), lipoprotein lipase (LPL), and fatty acid binding protein 4 (aP2). Also, RS downregulated the expression of sterol regulatory element binding protein 1 (SREBP1) and its downstream targets acetyl-CoA carboxylase 1 (ACC1), stearoyl-CoA desaturase-1 (SCD1), and fatty acid synthase (FAS).Conclusions: Our data suggest that RS prevents lipid metabolism disorder golden hamsters in high-fat diet and alleviates liver injury through the regulation of the SREBP/PPAR signaling pathway.

show abstract

Section: Introductionmentioning

confidence: 99%

Rubus Suavissimus Alleviates High-fat Diet-induced Lipid Metabolism Disorder via Modulation of the PPAR / SREBP Pathway in Syrian Golden Hamsters

Jiang

Huang

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Serum pyruvate is derived from alanine and a-ketoglutarate converted by the alanine aminotransferase (ALT) and elevated ALT is a diagnostic marker for liver injury. The concentration of serum pyruvate was also elevated by high-fat diet intake [42]. 1,3-Dihydroxyacetone is a 3-carbon reducing sugar produced from glycerol.…”

Section: Discussionmentioning

confidence: 99%

Machine Learning to Identify Molecular Markers for Metabolic Disease Development Using Mouse Models

Yang

Liu

Rezaei

et al. 2023

Preprint

View full text Add to dashboard Cite

Background: Aging, Western diet (WD) intake, and bile acid (BA) receptor farnesoid x receptor (FXR) inactivation are risk factors for metabolic disease development including nonalcoholic fatty liver disease (NAFLD) and chronic inflammation-related health issues such as dementia. The progression of the metabolic disease can be escalated when those risks are combined. Inactivation of FXR is cancer prone in both humans and mice. The current study used omics data generated within the gut-liver axis to classify those risks using bioinformatics and machine learning approaches. Methods: Different ages (5, 10, and 15 months) of wild-type (WT) and FXR knockout (KO) male mice were fed with either a healthy control diet (CD) or a WD since weaning. Hepatic transcripts, liver, serum, and urine metabolites, hepatic bile acids (BAs), as well as gut microbiota were used for risk prediction. A linear support vector machine with K-fold cross-validation was used for classification and feature selection. Results: Increased urine sucrose alone achieved 91% accuracy in predicting WD intake. Hepatic lithocholic acid (LCA) and serum pyruvate had 100% and 95% accuracy, respectively to classify age. Association analyses showed hepatic LCA was positively associated with serum concentrations of acetone, a ketone body, and 1,3-dihydroxyacetone (DHA), but negatively correlated with serum pyruvate. Urine metabolites (decreased creatinine and taurine as well as increased succinate) or gut microbiota (increased Dorea, Dehalobacterium, and Oscillospira) could predict FXR functional status with greater than 90% accuracy. Integrated pathway analyses revealed that the predictors for diet and FXR expression were implicated in the central carbon metabolism in cancer. To assess the translational relevance, mouse hepatic transcripts were crosschecked with human NAFLD and hepatocellular carcinoma (HCC) datasets. WD-affected hepatic Cyp39a1 and Gramd1b expression were associated with human HCC and NAFLD, respectively. The metabolites and diseases interaction analyses uncovered that the identified features are implicated in human metabolic diseases, mental disorders, and cancer. Conclusion: The risk prediction using mouse models contributes to the identification of noninvasive biomarkers for early diagnosis of metabolic disease development.

show abstract

“…Myristic acid also found to have altered band distribution in our analysis, is a long-chain saturated fatty acid, abundant in milk and derivatives ( Verruck et al, 2019 ), and a known cargo of exosomes ( Subra et al, 2010 ). It can be associated with an increase in exosome transportation of myristic acid and the myristic acid concentration is thought to be related to hypertensive disease ( Li et al, 2020 ). In addition, it was described that reduced myristic acid levels are associated with the onset of preeclampsia ( Villa et al, 2009 ; Paik et al, 2017 ).…”

Section: Discussionmentioning

confidence: 99%

Exosome-Enriched Plasma Analysis as a Tool for the Early Detection of Hypertensive Gestations

et al. 2021

View full text Add to dashboard Cite

Hypertensive disorders of pregnancy are closely associated with prematurity, stillbirth, and maternal morbidity and mortality. The onset of hypertensive disorders of pregnancy (HDP) is generally noticed after the 20th week of gestation, limiting earlier intervention. The placenta is directly responsible for modulating local and systemic physiology by communicating using mechanisms such as the release of extracellular vesicles, especially exosomes. In this study, we postulated that an analysis of exosome-enriched maternal plasma could provide a more focused and applicable approach for diagnosing HDP earlier in pregnancy. Therefore, the peripheral blood plasma of 24 pregnant women (11 controls, 13 HDP) was collected between 20th and 24th gestational weeks and centrifuged for exosome enrichment. Exosome-enriched plasma samples were analyzed by Raman spectroscopy and by proton nuclear magnetic resonance metabolomics (1H NMR). Principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) were used to analyze the Raman data, from the spectral region of 600–1,800 cm–1, to determine its potential to discriminate between groups. Using principal component analysis, we were able to differentiate the two groups, with 89% of all variances found in the first three principal components. In patients with HDP, most significant differences in Raman bands intensity were found for sphingomyelin, acetyl CoA, methionine, DNA, RNA, phenylalanine, tryptophan, carotenoids, tyrosine, arginine, leucine, amide I and III, and phospholipids. The 1H NMR analysis showed reduced levels of D-glucose, L-proline, L-tyrosine, glycine, and anserine in HDP, while levels of 2-hydroxyvalerate, polyunsaturated fatty acids, and very-low-density lipoprotein (VLDL) were increased. 1H NMR results were able to assign an unknown sample to either the control or HDP groups at a precision of 88.3% using orthogonal partial least squares discriminant analysis and 87% using logistic regression analysis. Our results suggested that an analysis of exosome-enriched plasma could provide an initial assessment of placental function at the maternal-fetal interface and aid HDP diagnosis, prognosis, and treatment, as well as to detect novel, early biomarkers for HDP.

show abstract

1H-NMR Metabolomics Analysis of the Effect of Rubusoside on Serum Metabolites of Golden Hamsters on a High-Fat Diet

Cited by 10 publications

References 29 publications

Rubus Suavissimus Alleviates High-fat Diet-induced Lipid Metabolism Disorder via Modulation of the PPAR / SREBP Pathway in Syrian Golden Hamsters

Rubus Suavissimus Alleviates High-fat Diet-induced Lipid Metabolism Disorder via Modulation of the PPAR / SREBP Pathway in Syrian Golden Hamsters

Machine Learning to Identify Molecular Markers for Metabolic Disease Development Using Mouse Models

Exosome-Enriched Plasma Analysis as a Tool for the Early Detection of Hypertensive Gestations

Contact Info

Product

Resources

About