Deciphering the pharmacological mechanism of Guan-Jie-Kang in treating rat adjuvant-induced arthritis using omics analysis
Autor: | Hua Zhou, Zhong-Wen Yuan, Ying Xie, Rutong Ren, Yan-Fang Zheng, Liang Liu, Hudan Pan, Zhongqiu Liu |
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Rok vydání: | 2018 |
Předmět: |
Male
Anti-Inflammatory Agents Arthritis Traditional Chinese medicine Pharmacology Arthritis Rheumatoid Rats Sprague-Dawley 03 medical and health sciences 0302 clinical medicine medicine Animals Metabolomics Glycolysis Purine metabolism 030304 developmental biology 030203 arthritis & rheumatology 0303 health sciences biology business.industry General Medicine X-Ray Microtomography medicine.disease Arthritis Experimental Rats Metabolic pathway RANKL Rheumatoid arthritis biology.protein Methotrexate business Biomarkers medicine.drug Drugs Chinese Herbal Signal Transduction |
Zdroj: | Frontiers of medicine. 13(5) |
ISSN: | 2095-0225 |
Popis: | Traditional Chinese medicine (TCM) formulas have attracted increasing attention worldwide in the past few years for treating complex disease including rheumatoid arthritis. However, their mechanisms are complex and remain unclear. Guan-Jie-Kang (GJK), a prescription modified from "Wu Tou Decoction," was found to significantly relieve arthritis symptoms in rats with adjuvant-induced arthritis after 30-day treatment, especially in the 24 g/kg/day group. By analyzing 1749 targets related to 358 compounds in the five herbs of GJK, we identified the possible anti-arthritis pathways of GJK, including the calcium signaling and metabolic pathways. Bone damage levels were assessed by micro-computed tomography, and greater bone protective effect was observed with GJK treatment than with methotrexate. Receptor activator of nuclear factor κB ligand (RANKL)-RANK signaling, which is related to calcium signaling, was significantly regulated by GJK. Moreover, a target metabolomics assay of serum was conducted; 17 metabolic biomarkers showed significant correlations with treatment. An integrated pathway analysis revealed that pyruvate metabolism, purine metabolism, and glycolysis metabolism were significantly associated with the effects of GJK in arthritis treatment. Thus, this study establishes a new omics analytical method integrated with bioinformatics analysis for elucidating the multi-pathway mechanisms of TCM. |
Databáze: | OpenAIRE |
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