将Meta分析和生物信息学策略整合在一起，初步探究淫羊藿及其提取物治疗慢性阻塞性肺疾病（COPD）潜在机制。首先进行Meta分析，使用主题词与自由词相结合的系统策略搜索淫羊藿在治疗COPD方面的中英文文献。 使用SYRCLE风险偏倚评估工具评估包括的研究，然后使用回顾管理软件将效应量组合进行统计分析。 然后，基于生物信息学技术，筛选淫羊藿的活性成分及其靶点，并通过比较映射COPD靶点以获得重叠基因。构建“药材-化合物-靶点模型”，并注释关键途径。最后，将核心靶点与重要化合物对接。 Meta分析共计包括了8个研究。 结果表明，淫羊藿（Brevicornus Epimedii）组能够显著下调COPD模型中的促炎性因子如肿瘤坏死因子-α（TNF-α）和白介素（IL）-8，并提高抗炎因子和抗氧化剂如IL-10和磷酸丝氨酸蛋白激酶B（p-AKT）的表达（均P <0.05）。通过生物信息学技术获得了淫羊藿（Brevicornus Epimedii）的23种活性成分和102个相应的靶基因，其中17个化合物和63个靶点与COPD密切相关。富集分析的结果主要包括TNF信号通路，磷脂酰肌醇3-激酶（PI3K）/ Akt信号通路，癌症信号通路和其他炎症反应，氧化应激和肿瘤相关途径。分子对接结果表明，24-表油麦菜甾醇的前五种成分与IL-6等10个核心靶点之间的结合能级分数均小于-5.0 kcal / mol，表明其具有良好的结合能力。Meta分析和生物信息学的结果表明，淫羊藿（Epimedii Brevicornus）及其成分对COPD的治疗作用可能与拮抗炎症和氧化应激相关。以上结果为淫羊藿开发成为预防和治疗COPD的天然药物提供了初步依据。

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.