Dataset Information

Chemotaxonomic Classification Applied to the Identification of Two Closely-Related Citrus TCMs Using UPLC-Q-TOF-MS-Based Metabolomics.

ABSTRACT: This manuscript elaborates on the establishment of a chemotaxonomic classification strategy for closely-related Citrus fruits in Traditional Chinese Medicines (TCMs). UPLC-Q-TOF-MS-based metabolomics was applied to depict the variable chemotaxonomic markers and elucidate the metabolic mechanism of Citrus TCMs from different species and at different ripening stages. Metabolomics can capture a comprehensive analysis of small molecule metabolites and can provide a powerful approach to establish metabolic profiling, creating a bridge between genotype and phenotype. To further investigate the different metabolites in four closely-related Citrus TCMs, non-targeted metabolite profiling analysis was employed as an efficient technique to profile the primary and secondary metabolites. The results presented in this manuscript indicate that primary metabolites enable the discrimination of species, whereas secondary metabolites are associated with species and the ripening process. In addition, analysis of the biosynthetic pathway highlighted that the syntheses of flavone and flavone glycosides are deeply affected in Citrus ripening stages. Ultimately, this work might provide a feasible strategy for the authentication of Citrus fruits from different species and ripening stages and facilitate a better understanding of their different medicinal uses.

SUBMITTER: Zhao SY

PROVIDER: S-EPMC6151587 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature

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Chemotaxonomic Classification Applied to the Identification of Two Closely-Related Citrus TCMs Using UPLC-Q-TOF-MS-Based Metabolomics.

Zhao Si-Yu SY Liu Zhen-Li ZL Shu Yi-Song YS Wang Meng-Lei ML He Dan D Song Zhi-Qian ZQ Zeng Hong-Lian HL Ning Zhang-Chi ZC Lu Cheng C Lu Ai-Ping AP Liu Yuan-Yan YY

Molecules (Basel, Switzerland) 20171013 10

This manuscript elaborates on the establishment of a chemotaxonomic classification strategy for closely-related <i>Citrus</i> fruits in Traditional Chinese Medicines (TCMs). UPLC-Q-TOF-MS-based metabolomics was applied to depict the variable chemotaxonomic markers and elucidate the metabolic mechanism of <i>Citrus</i> TCMs from different species and at different ripening stages. Metabolomics can capture a comprehensive analysis of small molecule metabolites and can provide a powerful approach to ...[more]

PMID: 29027971

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Project description:Hyperuricemia (HUA) as a metabolic disease is closely associated with metabolic disorders. The etiology and pathogenesis of HUA are not fully understood, so there is no radical cure so far. Metabolomics, a specialized study of endogenous small molecule substances, has become a powerful tool for metabolic pathway analysis of selected differential metabolites, which is helpful for initially revealing possible development mechanisms of various human diseases. Twenty HUA patients and 20 healthy individuals participated in the experiment, and ultrahigh performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry (UPLC-Q-TOF/MS) was employed to investigate serum samples to find differential metabolites. The statistical techniques used were principal component analysis and orthogonal partial least-squares discriminant analysis. The differences in metabolomics results of samples after pretreatment with different solvents were compared, 38, 20, 26, 28, 33, 50, and 40 potential differential metabolites were found, respectively, in HUA patient samples, and each group involved different metabolic pathways. Repetitive metabolites were removed, 138 differential metabolites in HUA serum were integrated for analysis, and the human body was affected by 7 metabolic pathways of glycerophospholipid metabolism, sphingolipid metabolism, arachidonic acid metabolism, linoleic acid metabolism, phenylalanine metabolism, phenylalanine, tyrosine and tryptophan biosynthesis, and α-linolenic acid metabolism. In this work, the metabolomics approach based on UPLC-Q-TOF/MS was employed to investigate serum metabolic changes in HUA patients, 138 potential differential metabolites related to HUA were identified, which provided associations of lipids, amino acids, fatty acids, organic acids, and nucleosides profiles of HUA individuals. Metabolic pathways involved in glycerophospholipid metabolism, sphingolipid metabolism, arachidonic acid metabolism, linoleic acid metabolism, phenylalanine metabolism, phenylalanine, tyrosine and tryptophan biosynthesis, and a-linolenic acid metabolism shed light on the understanding of the etiology and pathogenesis process of HUA.

Dataset Information

Chemotaxonomic Classification Applied to the Identification of Two Closely-Related Citrus TCMs Using UPLC-Q-TOF-MS-Based Metabolomics.

Publications

Chemotaxonomic Classification Applied to the Identification of Two Closely-Related Citrus TCMs Using UPLC-Q-TOF-MS-Based Metabolomics.

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