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Integrating metabolomics, 16S rRNA sequencing, network pharmacology, and metorigin to explore the mechanism of Cinnamomi Cortex in treating chronic atrophic gastritis rats

文献类型： 外文期刊

作者： Liu, Yuetao 1 ; Zhang, Hui 1 ; Lu, Wentian 1 ; Jiang, Tao 3 ;

作者机构： 1.Shanxi Univ, Modern Res Ctr Tradit Chinese Med, Key Lab Chem Biol & Mol Engn, Minist Educ, 92 Wucheng Rd, Taiyuan 030006, Shanxi, Peoples R China

2.Key Lab Effect Subst Res & Utilizat TCM Shanxi Pro, 92 Wucheng Rd, Taiyuan 030006, Shanxi, Peoples R China

3.Hebei Acad Agr & Forestry Sci, Inst Cash Crops, Shijiazhuang 050051, Hebei, Peoples R China

关键词： Cinnamomi cortex; Chronic atrophic gastritis; Network pharmacology; Metabolomics; Metorigin; 16S rRNA sequencing

期刊名称：PHYTOMEDICINE （ 影响因子：7.9； 五年影响因子：6.8 ）

ISSN： 0944-7113

年卷期： 2023 年 121 卷

页码：

收录情况： SCI

摘要： Background: Cinnamomi cortex called as Rougui (RG) in Chinese was a widely used food-medicine homology. RG has the potential to treat chronic atrophic gastritis (CAG), a disease with widespread impact in the Chinese population. Purpose: This study aimed to explore its mechanism against CAG based on amalgamated strategies. Methods: Network pharmacology was used to predict the potential effective components and the core targets of RG against CAG based on the comprehensive chemical characterization using UHPLC-Q/TOF MS (ultra high performance liquid chromatogramphy-quadrupole/time-of-flight mass spectrometry). The CAG animals model were further used to validate its pharmacodynamics, of which gut microbiota of caecal contents were analyzed by integrating metabolomics, 16S rRNA sequencing, Metorigin metabolite traceability analysis and molecular docking to explore its action mechanism. Results: Network pharmacology firstly predicted the efficacy of RG was attributed to four effective components and seven targets. Metabolomics of caecal contents in CAG rats revealed primary bile acid biosynthesis was its targeted metabolic pathway associated with the metabolism of gut microbiota coupled with Metorigin traceability analysis. 16S rRNA sequencing showed that RG treated CAG by regulating the imbalance of gut microbiota. Molecular docking further confirmed that the effective components of RG could intervene with potential targets, metorigin analysis pathway, and key enzymes of gut microbiota metabolic pathways. Conclusion: Our results proved that RG exerted favorable effect on CAG. The four active ingredients (quercetin, kaempferol, oleic acid, and (-)-epicatechin) of RG were the key to exert drug effect, which could targeted the core target of CAG, primary bile acid biosynthesis and intestinal flora metabolic pathways.

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