Department of Respiration, Traditional Chinese Medicine Hospital Affiliated to Xinjiang Medical University, Urumqi 830000, China.
2 Department of Integrative Medicine, Huashan hospital of Fudan University, Shanghai 200040, China.
J Tradit Chin Med. 2023 Apr;43(2):386-396. doi: 10.19852/j.cnki.jtcm.20220617.005.
To integrate Meta-analysis and bioinformatics strategies in the preliminary exploration of the potential mechanism of Yinyanghuo () and its extract in treating chronic obstructive pulmonary disease (COPD).
First, Meta-analysis was carried out. The Chinese and English literature of Yinyanghuo () in treating COPD was searched using the systematic strategy of combining subject words with free words. The included studies were evaluated by the SYRCLE risk bias assessment tool, after which the review manager software was used to combine the effect quantities for statistical analysis. Then, based on bioinformatics technology, the active ingredients and their targets of Yinyanghuo () were screened, and the intersection genes were obtained by mapping and comparing with the targets of COPD. The "medicinal materials-compounds-targets model" was constructed, and the key pathways were annotated. Finally, the core target was docked with important compounds.
A total of 8 studies were included in the Meta-analysis. The results showed that the Yinyanghuo (Herba Epimedii Brevicornus) group could significantly down-regulate pro-inflammatory factors such as tumor necrosis factor-α (TNF-α) and interleukin (IL)-8 and increase the expression of anti-inflammatory factors and antioxidant factors such as IL-10 and phospho-protein kinase B (p-AKT) in the COPD model (all P < 0.05). A total of 23 active components and 102 corresponding target genes of Yinyanghuo (Herba Epimedii Brevicornus) were obtained by bioinformatics technology, among which 17 compounds and 63 targets were closely related to COPD. The results of enrichment analysis mainly included TNF signaling pathway, phosphoinositide 3-kinase (PI3K)/Akt signaling pathway, cancer signaling pathway, and other inflammatory reactions, oxidative stress, and tumor-related pathways. The molecular docking results showed that the binding energy fractions of the top five components of 24-epicampesterol with 10 core targets such as IL-6 were all less than ﹣5.0 kcal/mol, suggesting good binding ability.
Meta-analysis and bioinformatics results indicated that the therapeutic effect of Yinyanghuo () and its components on COPD might be related to antagonizing inflammation and oxidative stress. The above findings provide a preliminary basis for the development of Yinyanghuo () as a natural drug for preventing and treating COPD.
运用 Meta 分析和生物信息学策略初步探讨淫羊藿及其提取物治疗慢性阻塞性肺疾病（COPD）的潜在作用机制。
首先进行 Meta 分析，采用主题词与自由词相结合的系统策略，检索淫羊藿治疗 COPD 的中英文文献，运用 SYRCLE 偏倚风险评估工具对纳入的研究进行评价后，采用 Review Manager 软件进行效应量合并进行统计学分析。然后，基于生物信息学技术，筛选淫羊藿的活性成分及其作用靶点，并与 COPD 的靶点进行映射比较，获取交集基因，构建“药材-成分-靶点”模型，并对关键通路进行注释。最后，将核心靶点与重要化合物进行对接。
共纳入 8 项 Meta 分析研究。结果显示，淫羊藿组可显著下调 COPD 模型中促炎因子肿瘤坏死因子-α（TNF-α）、白细胞介素（IL）-8 等，增加抗炎因子、抗氧化因子 IL-10、磷酸蛋白激酶 B（p-AKT）等的表达（均 P<0.05）。通过生物信息学技术共获得淫羊藿 23 个活性成分和 102 个对应靶点，其中 17 个化合物和 63 个靶点与 COPD 密切相关。富集分析结果主要涉及 TNF 信号通路、磷酸肌醇 3-激酶（PI3K）/蛋白激酶 B（Akt）信号通路、癌症信号通路等炎症反应、氧化应激和肿瘤相关通路。分子对接结果显示，24-表胆甾醇与 IL-6 等 10 个核心靶点的前 5 个成分的结合能分数均小于-5.0 kcal/mol，提示具有良好的结合能力。
Meta 分析和生物信息学结果提示淫羊藿及其成分治疗 COPD 的疗效可能与拮抗炎症和氧化应激有关。上述发现为开发淫羊藿防治 COPD 的天然药物提供了初步依据。
