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Analyzing the Therapeutic Mechanism of Mongolian Medicine Zhonglun-5 in Rheumatoid Arthritis Using a Bagging Algorithm with Serum Metabonomics

Evidence-based complementary and alternative medicine : eCAM(2022)SCI 4区

Inner Mongolia Minzu Univ | Inner Mongolia Key Lab Chem Nat Prod Chem & Synth

Cited 2|Views14
Abstract
Rheumatoid arthritis (RA) is a complex autoimmune disorder. Zhonglun-5 (ZL), a traditional Mongolian medicine, exhibits an excellent clinical effect on RA; however, its molecular mechanism remains unclear. In this study, rat serum metabolomic analysis was performed to identify potential biomarkers for RA and investigate its treatment mechanism. A Dionex Ultimate 3000 ultrahigh-performance liquid chromatography system coupled with a Q-Exactive Focus Orbitrap mass spectrometer was used for metabonomics analysis. Bootstrap aggregation (bagging) classification algorithm was applied to process data from control (CG), model (MG), and treatment administration groups. The classification accuracy was 100.00% (6/6) in the decision tree model and 83.33% (5/6) in the K-nearest neighbor (KNN) model, accompanied by 18 training samples and 6 testing samples. Using volcanic map analysis, 24 biomarkers were identified between CG and MG, including those related to glycosphingolipid biosynthesis, arachidonic acid, fatty acids, amino acids, bile acids, vitamins, and sphingolipids. A set diagram of the heatmap and drug-biomarker network of potential biomarkers was constructed. After ZL administration, the levels of these biomarkers returned to normal, indicating that ZL had a therapeutic effect in rats with RA. This study established a solid theoretical foundation to promote further research on the clinical applicability of ZL.
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要点】:本研究利用袋装算法和血清代谢组学分析揭示了蒙古药中中伦-5治疗类风湿性关节炎的分子机制,识别出24个潜在的生物标志物。

方法】:采用Dionex Ultimate 3000超高效液相色谱系统和Q-Exactive Focus Orbitrap质谱仪进行代谢组学分析,并应用袋装算法处理对照组(CG)、模型组(MG)和治疗组的实验数据。

实验】:通过对大鼠血清的代谢组学分析,在CG和MG间确认了24个生物标志物,并在中伦-5治疗后观察到这些标志物水平恢复正常,数据集名称未提及。