Literature DB >> 32592886

Evaluation of the mechanism of Danggui-Shaoyao-San in regulating the metabolome of nephrotic syndrome based on urinary metabonomics and bioinformatics approaches.

Yunlai Wang1, Shengnan Fan2, Mo Yang3, Gaoxiang Shi4, Siyao Hu5, Dengke Yin6, Yazhong Zhang7, Fan Xu8.   

Abstract

ETHNOPHARMACOLOGICAL RELEVANCE: Danggui-Shaoyao-San (DSS), a well-known classic Traditional Chinese medicine (TCM) formula for enhancing Qi (vital energy and spirit), invigorating blood circulation and promoting diuresis, has been widely used in the treatment of nephrotic syndrome (NS). Previously, we have reported some protective effects of DSS against NS, but the in-depth mechanisms remain unclear. AIM OF THE STUDY: In this study, an ultra performance liquid chromatography coupled with quadrupole-time-of-flight mass spectrometry (UPLC-Q/TOF-MS)-based urinary metabonomics coupled with bioinformatics method was employed to evaluate the mechanisms of DSS in treating NS from the perspective of metabolism.
MATERIALS AND METHODS: The rat models of NS were established using adriamycin injection. The regulative effects of DSS on NS in rats were first assessed by non-targeted metabonomics, which was based on UPLC-Q/TOF-MS. A series of target prediction models were used to predict the target of components identified in DSS and potential metabolites in NS, combined with the experimental results of metabonomics, to construct the biological network.
RESULTS: A total of 16 potential metabolites were screened in NS, of which 13 were significantly regulated by DSS. Metabolic pathway analysis showed that the therapeutic effect of DSS on NS was mainly involved in regulating the amino acid metabolism and energy metabolism. The component-target-metabolites-pathway network revealed 29 targets associated with metabolites that were linked to 27 components of DSS. Bioinformatics analysis showed that the potential targets have various molecular functions (especially serine-type endopeptidase inhibitor activity) and biological process (such as positive regulation of peptidyl-tyrosine phosphorylation or autophosphorylation).
CONCLUSIONS: The regulation of disrupted metabolic pathways and the relative targets may be the mechanism for DSS in the treatment of NS. Notably, metabonomics coupled with bioinformatics would be useful to explore the mechanism of DSS against NS and provide better insights on DSS for clinical use.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bioinformatics; Danggui-shaoyao-san; Nephrotic syndrome; UPLC-Q/TOF-MS; Urinary metabonomics

Year:  2020        PMID: 32592886     DOI: 10.1016/j.jep.2020.113020

Source DB:  PubMed          Journal:  J Ethnopharmacol        ISSN: 0378-8741            Impact factor:   4.360


  3 in total

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Journal:  Front Pharmacol       Date:  2021-12-06       Impact factor: 5.810

2.  Investigating changes of proteome in the bovine milk serum after retort processing using proteomics techniques.

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Journal:  Food Sci Nutr       Date:  2021-12-30       Impact factor: 2.863

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Authors:  Lian Fan; Hui-Hua Chen; Hua-Jun Liu; Hui-Juan Chen; Ling-Ling Zhu; Ting Zhang
Journal:  Evid Based Complement Alternat Med       Date:  2022-07-31       Impact factor: 2.650

  3 in total

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