Metabolomics study on the therapeutic effect of traditional Chinese medicine Xue-Fu-Zhu-Yu decoction in coronary heart disease based on LC-Q-TOF/MS and GC-MS analysis

Yi, Min; Li, Qiuxia; Zhao, Yuhang; Nie, Shanshan; Wu, Ning; Wang, Dongsheng

doi:10.1016/j.dmpk.2019.07.004

Cited by 12 publications

(6 citation statements)

References 33 publications

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“…Other cardiovascular diseases for which a metabolomic approach has been used include ischaemic cardiomyopathy [ 51 ], coronary artery disease [ 53 ], ischaemic stroke [ 54 , 64 ], myocardial infarction [ 56 ], atherosclerosis [ 58 ], and heart failure [ 64 ]. Furthermore, metabolomic tools have been used to study the mechanistic pathways involved in the therapeutic effects of some herbal medicines [ 62 ].…”

Section: Discussionmentioning

confidence: 99%

Metabolomics: A Scoping Review of Its Role as a Tool for Disease Biomarker Discovery in Selected Non-Communicable Diseases

et al. 2021

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Metabolomics is a branch of ‘omics’ sciences that utilises a couple of analytical tools for the identification of small molecules (metabolites) in a given sample. The overarching goal of metabolomics is to assess these metabolites quantitatively and qualitatively for their diagnostic, therapeutic, and prognostic potentials. Its use in various aspects of life has been documented. We have also published, howbeit in animal models, a few papers where metabolomic approaches were used in the study of metabolic disorders, such as metabolic syndrome, diabetes, and obesity. As the goal of every research is to benefit humankind, the purpose of this review is to provide insights into the applicability of metabolomics in medicine vis-à-vis its role in biomarker discovery for disease diagnosis and management. Here, important biomarkers with proven diagnostic and therapeutic relevance in the management of disease conditions, such as Alzheimer’s disease, dementia, Parkinson’s disease, inborn errors of metabolism (IEM), diabetic retinopathy, and cardiovascular disease, are noted. The paper also discusses a few reasons why most metabolomics-based laboratory discoveries are not readily translated to the clinic and how these could be addressed going forward.

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Section: Discussionmentioning

confidence: 99%

Metabolomics: A Scoping Review of Its Role as a Tool for Disease Biomarker Discovery in Selected Non-Communicable Diseases

et al. 2021

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“…After these analyses, 2D or 3D-PCA score plots reflected the clustering degree of each group. To analyze the fecal metabolic profiles of the experimental and control groups, OPLS-DA score plots were constructed to obtain VIP plots, S-plots and loading plots ( Yi et al, 2019 ). The variables located farther from the origin in these plots contributed significantly.…”

Section: Methodsmentioning

confidence: 99%

Effects of Radix Scrophulariae on Hyperthyroidism Assessed by Metabonomics and Network Pharmacology

Zhang

Lü

et al. 2021

Front. Pharmacol.

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Radix Scrophulariae (Chinese name: Xuanshen), a traditional Chinese herb, is used for the treatment of hyperthyroidism, and in this study, its mechanisms were evaluated by metabonomics and system pharmacology. To study the anti-hyperthyroidism effects of R. Scrophulariae, a male SD rat (180–220 g) model of hyperthyroidism induced by Euthyrox was used. Thirty rats were randomly distributed into three groups: the Model group, the R. Scrophulariae treatment group (RS group) and the healthy Control group. Using the UHPLC/Q-TOF-MS metabolomics approach, 44 metabolites were found to be profoundly altered in the model group, and the levels of these biomarkers were significantly decreased after treatment with R. Scrophulariae. Forty-four metabolites and 13 signaling pathways related to R. Scrophulariae, including the biosynthesis of unsaturated fatty acids, primary bile acid biosynthesis and sphingolipid metabolism, were explored, and linoleic acid metabolism and sphingolipid metabolism were identified as the most relevant metabolic pathways. In addition, the system pharmacology paradigm revealed that R. Scrophulariae contains 83 active ingredients and is related to 795 genes, and 804 disease genes are related to hyperthyroidism. The construction of the R. Scrophulariaceae-chemical composition-target-hyperthyroidism network identified a total of 112 intersection genes. The enriched gene targets were analyzed, and five pathways were found to be enriched. Among them pathways, the HIF signaling pathway had the highest enrichment score, which indicated that this pathway might be the main signaling pathway related to the treatment of hyperthyroidism by R. Scrophulariae.The integrated approach involving metabolomics and network pharmacology revealed that R. Scrophulariae might play a role in the treatment of hyperthyroidism by regulating the “IL6-APOA1-cholesterol” pathway and disturbing the HIF signaling pathway. The results demonstrate that the combination of metabolomics and network pharmacology could be used to reflect the effects of R. Scrophulariae on the biological network and metabolic state of hyperthyroidism and to evaluate the drug efficacy of R. Scrophulariaceae and its related mechanisms.

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“…The metabolomics characteristics of the enrolled literatures were shown in Table 1. 12 literatures (13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24) were nally enrolled in this work. Except for two literatures, the samples were urine, and all the other samples were blood.…”

Section: Analysis Of Metabolomics Characteristics Mentioned In the En...mentioning

confidence: 99%

The Interactions and Biological Pathways Among Metabolomics Products of Patients with Coronary Heart Disease Analyzed Using the Bioinformatics Methods

Chu,

Liu,

Nie

et al. 2024

Preprint

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Background: Metabolome products are small molecules resulting from cellular metabolism. Studies has used advanced methods of molecular detection to analysis samples of ill patients. Based on bioinformatics analysis, the interactions and biological pathways among metabolome products in patients with coronary heart disease (CHD) were investigated. Methods: Related studies focusing on the metabolomics analysis of patients with CHD published on CNKI, Wanfang, VIP, CBM, PubMed, Cochrane Library, Nature, Web of Science, Spring, and Science Direct were retrieved. The metabolites in the literature were analyzed statistically and summarized, the differential metabolites were selected and their pathways were analyzed based on the Kyoto Encyclopedia of Genes and Genomes (KEGG). Molecular annotation of metabolites and related enzymes or transporters were analyzed with the HMDB. Their related properties were visualized using the metPA. Results: A total of 12 literatures which satisfying the criteria for enrollment were included here. Total 136 metabolites related to CHD were preliminarily screened, and 83 effective metabolites were obtained after the unrecognized metabolites were excluded. 45 pathways were involved. Through the topology analysis (TPA) of pathways, their influence values were calculated, and 14 major metabolic pathways were selected, which were phenylalanine (Phe), tyrosine and tryptophan biosynthesis (TTB), Aminoacyl-tRNA biosynthesis (ATB), and arginine biosynthesis (ABS). These results indicated that glucose metabolism, fatty acid (FA) metabolism, amino acid (AA) transporting to proteins to cells, and tricarboxylic acid (TCA) cycle were involved in the occurrence of CHD. Conclusion: this study showed cellular and molecular pathways involved in the process of CHD. This information can be used for different drug development and diagnostic studies.

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Metabolomics study on the therapeutic effect of traditional Chinese medicine Xue-Fu-Zhu-Yu decoction in coronary heart disease based on LC-Q-TOF/MS and GC-MS analysis

Cited by 12 publications

References 33 publications

Metabolomics: A Scoping Review of Its Role as a Tool for Disease Biomarker Discovery in Selected Non-Communicable Diseases

Metabolomics: A Scoping Review of Its Role as a Tool for Disease Biomarker Discovery in Selected Non-Communicable Diseases

Effects of Radix Scrophulariae on Hyperthyroidism Assessed by Metabonomics and Network Pharmacology

The Interactions and Biological Pathways Among Metabolomics Products of Patients with Coronary Heart Disease Analyzed Using the Bioinformatics Methods

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