Dataset Information

Identification of key elements and pathways regulated by Yiqi Sanjie formula against colorectal cancer based on integrative analyses

ABSTRACT: The Yiqi Sanjie (YQSJ) formula has been proved to be clinically useful for stage III colorectal cancer (CRC) patients. However, the exact anti-tumor mechanisms of YQSJ and its main active component peiminine remain incompletely understood. This study aimed to comprehensively explore the characterization of CRC tissues/cells and gut microbes mediated by YQSJ/peiminine through integrative analyses.

ORGANISM(S): Homo Sapiens

SUBMITTER: Jun Rao

PROVIDER: PXD037110 | iProX | Fri Sep 30 00:00:00 BST 2022

REPOSITORIES: iProX

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Publications

Integrative analysis and identification of key elements and pathways regulated by Traditional Chinese Medicine (Yiqi Sanjie formula) in colorectal cancer.

Wan Xianghui X Tou Fangfang F Zeng Jiquan J Chen Xinyi X Li Shanshan S Chen Lanyu L Zheng Zhi Z Rao Jun J

Frontiers in pharmacology 20221213

Introduction: The clinical efficacy of Yiqi Sanjie (YQSJ) formula in the treatment of stage III colorectal cancer (CRC) has been demonstrated. However, the underlying antitumor mechanisms remain poorly understood. Materials and methods: The aim of the present study was to comprehensively characterize the molecular and microbiota changes in colon tissues and fecal samples from CRC mice and in CRC cell lines treated with YQSJ or its main active component, peiminine. Integrative tande ...[more]

PMID: 36582529

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Project description:OBJECTIVE: To observe the clinical efficacy and safety of Yiqi Yangxue formula (YQYXF) on knee osteoarthritis (KOA), and to explore the underlying therapeutic mechanism of YQYXF through endogenous differential metabolites and their related metabolic pathways.METHODS: A total of 61 KOA patients were recruited and divided into the treatment group (YQYXF, 30 cases) and the control group (celecoxib, Cxb, 31 cases). Effects of these two drugs on joint pain, swelling, erythrocyte sedimentation rate (ESR) and c-reactive protein (CRP) were observed, and their safety and adverse reactions were investigated. In animal experiments, 63 SD rats were randomly divided into normal control (NC) group, sham operation (sham) group, model (KOA) group, Cxb group, as well as low-dose (YL), medium-dose (YM), and high-dose groups of YQYXF (YH). The KOA rat model was established using a modified Hulth method. Ultra-high-performance liquid chromatography/Q Exactive HF-X Hybrid Quadrupole-Orbitrap Mass (UHPLC-QE-MS)-based metabolomics technology was used to analyze the changes of metabolites in plasma samples of rats. Comprehensive (VIP) > 1 and t-test p < 0.05 conditions were used to screen the disease biomarkers of KOA, and the underlying mechanisms of YQYXF were explored through metabolic pathway enrichment analysis. The related markers of YQYXF were further verified by ELISA (enzyme-linked immunosorbent assay).RESULTS: YQYXF can improve joint pain, swelling, range of motion, joint function, Michel Lequesen index of severity for osteoarthritis (ISOA) score, Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) score, ESR, and CRP. No apparent adverse reactions were reported. In addition, YQYXF can improve cartilage damage in KOA rats, reverse the abnormal changes of 16 different metabolites, and exert an anti-KOA effect mainly through five metabolic pathways. The levels of reactive oxygen species (ROS) and glutathione (GSH) were significantly decreased after the treatment of YQYXF.CONCLUSION: YQYXF can significantly improve the clinical symptoms of KOA patients without obvious adverse reactions. It mainly improved KOA through modulating lipid metabolism-related biomarkers, reducing lipid peroxidation and oxidative stress.

Dataset Information

Identification of key elements and pathways regulated by Yiqi Sanjie formula against colorectal cancer based on integrative analyses

Publications

Integrative analysis and identification of key elements and pathways regulated by Traditional Chinese Medicine (Yiqi Sanjie formula) in colorectal cancer.

Similar Datasets

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