Metabolomics investigation on antiobesity effects of Corydalis bungeana on high-fat high-sugar diet-induced obese rats

Fu, Minghai; Bao, Terigele; Yu, Hongwei; A., Lisha; Li, Huifang; Ba, Genna; Cho, Sungbo

doi:10.1016/j.chmed.2022.04.001

Cited by 15 publications

(8 citation statements)

References 33 publications

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“… 20 As lipidomics enables the comprehensive, large-scale analysis of lipids in biological systems, it has been increasingly applied in recent years to discover and identify disease biomarkers and to elucidate disease development mechanisms. 21 Mass spectrometry (MS) constitutes a common analysis platform for lipidomics. Using its positive and negative mode ionization methods and versatile mass analyzers, intact molecular ions of metabolites can be produced, and highly resolved MS/MS spectra can be acquired.…”

Section: Introductionmentioning

confidence: 99%

“…It builds a comprehensive map of the lipidomes of biological samples . As lipidomics enables the comprehensive, large-scale analysis of lipids in biological systems, it has been increasingly applied in recent years to discover and identify disease biomarkers and to elucidate disease development mechanisms . Mass spectrometry (MS) constitutes a common analysis platform for lipidomics.…”

Section: Introductionmentioning

confidence: 99%

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Serum Lipidomic Analysis Reveals Biomarkers and Metabolic Pathways of Thyroid Dysfunction

et al. 2023

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Abnormal thyroid hormone secretion is the most important feature of hypothyroidism and plays an important role in lipid metabolism. However, their connection has not been clearly established. This study aimed to identify the serum biomarkers and metabolic pathways associated with hyperthyroidism and hypothyroidism. The study enrolled discovery and validation sets of 175 and 300 participants, respectively, to identify and validate the serum biomarkers of hyperthyroidism and hypothyroidism via ultrahigh performance liquid chromatography−quadrupole time-of-flight mass spectrometry lipidomics through univariate and multivariate analyses. Eight and six biomarkers were identified for hyperthyroidism and hypothyroidism, respectively. Spearman correlation analysis was used to assess the correlation between the biomarkers and thyroid dysfunction indicators; subsequently, metabolic pathway and network analyses were performed for these biomarkers. Most biomarkers exhibited significant correlation with thyroid dysfunction indicators, mainly being enriched in the glycerophospholipid (GPL) metabolism. The diagnostic accuracies of the biomarkers and biomarker panels were assessed via receiver operating characteristic curve analysis. All the biomarkers demonstrated good diagnostic performance, and the hyperthyroidism and hypothyroidism biomarker panels reached an area under the curve value of 1.000. The results were validated using the validation set. Therefore, our findings revealed that thyroid dysfunction primarily affects the human metabolism via the GPL metabolism, thus providing a theoretical basis for the clinical prevention and control of thyroid dysfunction.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Serum Lipidomic Analysis Reveals Biomarkers and Metabolic Pathways of Thyroid Dysfunction

et al. 2023

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“…Maulidiani et al found that obese mice had reduced levels of fumarate in urine, which may be associated with mitochondrial dysfunction [ 43 ]. Moreover, significantly downregulated fumarate levels were found in the serum of obese mice, and its concentration could be upregulated when obese mice were supplemented with Corydalis bungeana extracts, with anti-obesity effects [ 44 ]. Combined with our result, we can infer that fibers may have a positive effect on the regulation of mitochondrial functions, thus regularizing energy metabolism in obese mice.…”

Section: Discussionmentioning

confidence: 99%

Metabolomic Characteristics of Cecum Contents in High-Fat-Diet-Induced Obese Mice Intervened with Different Fibers

Zhang

Cheng

Jiang

et al. 2023

Foods

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The aim of this study was to demonstrate the effect of single or mixed fibers (arabinoxylan, β-glucan, xyloglucan, and inulin) on the metabolome of cecum content in mice with obesity caused by a high-fat diet. Twenty-eight six-week-old male mice were divided randomly into seven groups (n = 4/group), including a normal-diet group (CON), a high-fat-diet group (HFD), and groups with the same high-fat diet but supplemented with arabinoxylan (HFAX), arabinoxylan + β-glucan (HFAβ), arabinoxylan + xyloglucan (HFAG), xyloglucan (HFXG), and xyloglucan + inulin (HFXI). A total of 66 molecules were identified and quantified in cecum content by proton nuclear magnetic resonance (1 H-NMR). The metabolomic profiles combined with statistical analysis revealed compounds distinguishing the control group from those supplemented with fibers. In detail, a high-fat diet could significantly elevate the concentrations of acetone and methionine (p < 0.05) while decreasing the levels of methanol, arabinose, acetate, and 3-hydroxyphenylacetate (p < 0.05) in the cecum contents of mice. Compared to HFD, the supplementation caused higher levels of fumarate and hypoxanthine (p < 0.05) and lower levels of phenylacetate, acetate, fucose, formate, proline, betaine, and trimethylamine N-oxide (TMAO) (p < 0.05). An enrichment analysis highlighted that the pathways mainly altered were amino sugar metabolism, aspartate metabolism, and arginine and proline metabolism. In conclusion, non-starch polysaccharide (NSP) supplementation could change the metabolomic profiles of cecum contents in obese mice as a result of a high-fat diet. Moreover, mixed NSPs exhibited more beneficial effects than singular form on gut metabolism.

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“…Since trans-TSG and cis-TSG are easily transformed under sunlight and their significant difference in bioactivities, it is necessary to rapidly and deeply investigate their metabolic differences. Metabolomics can investigate overall metabolic information and explore complex metabolic pathways to elucidate the physiological or pathological activities of drugs [7,8]. As we all know, commonly used metabolomics techniques mainly include nuclear magnetic resonance (NMR), gas chromatography-mass spectrometry (GC-MS), and liquid chromatography-MS (LC-MS) [9][10][11][12], NMR has the advantages of high reproducibility, high throughput, non-destructiveness, and absolutely quantification of all metabolites with only one reference standard or even no reference compound.…”

Section: Introductionmentioning

confidence: 99%

Comparison of metabolic differences between two geometrical isomers based on multi‐omics strategy

Ge,

Gao,

Zhang

et al. 2023

Separation Science Plus

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Abstract2,3,5,4′‐tetrahydroxy stilbene‐2‐O‐β‐D‐glucoside is the main compound of Polygonum multiflorum. There are two geometrical isomers of 2,3,5,4′‐tetrahydroxy stilbene‐2‐O‐β‐D‐glucoside. Several studies have shown that cis‐2,3,5,4′‐tetrahydroxy stilbene‐2‐O‐β‐D‐glucoside may be the risk compound of hepatotoxicity in Polygonum multiflorum Thunb. and there are few comprehensive comparisons on the different impacts of cis‐2,3,5,4′‐tetrahydroxy stilbene‐2‐O‐β‐D‐glucoside and trans‐2,3,5,4′‐tetrahydroxy stilbene‐2‐O‐β‐D‐glucoside about metabolic characteristics. This paper aimed to provide a comprehensive assessment of the metabolomics and lipidomics studies of the differences in metabolic characteristics of cis‐2,3,5,4′‐tetrahydroxy stilbene‐2‐O‐β‐D‐glucoside and trans‐2,3,5,4′‐tetrahydroxy stilbene‐2‐O‐β‐D‐glucoside. The results showed that trans‐2,3,5,4′‐tetrahydroxy stilbene‐2‐O‐β‐D‐glucoside and cis‐2,3,5,4′‐tetrahydroxy stilbene‐2‐O‐β‐D‐glucoside significantly affected 47 metabolites. The main interfering pathways included alpha‐linolenic acid, linoleic acid (LA) metabolism, arachidonic acid (AA) metabolism, and fatty acid metabolism. According to the transcriptomics study, the altered genes were mainly enriched in LA metabolism, AA metabolism, and fatty acid metabolism. Two genes (Runx3 and Scd1) were mainly involved in the cell cycle and fatty acid metabolism in the cis‐2,3,5,4′‐tetrahydroxy stilbene‐2‐O‐β‐D‐glucoside group, and one enzyme (Phospholipase B1) was related to alpha‐linolenic acid, LA metabolism and AA metabolism in the trans‐2,3,5,4′‐tetrahydroxy stilbene‐2‐O‐β‐D‐glucoside group. These would provide useful information for further investigation on therapeutic and hepatotoxic mechanisms of Polygonum multiflorum Thunb.

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Metabolomics investigation on antiobesity effects of Corydalis bungeana on high-fat high-sugar diet-induced obese rats

Cited by 15 publications

References 33 publications

Serum Lipidomic Analysis Reveals Biomarkers and Metabolic Pathways of Thyroid Dysfunction

Serum Lipidomic Analysis Reveals Biomarkers and Metabolic Pathways of Thyroid Dysfunction

Metabolomic Characteristics of Cecum Contents in High-Fat-Diet-Induced Obese Mice Intervened with Different Fibers

Comparison of metabolic differences between two geometrical isomers based on multi‐omics strategy

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