目的 分析青风藤-白芍药对不同配比的特征性成分含量变化与其抗炎作用的相关性。方法 采用HPLC法建立青风藤-白芍药对不同配比（1∶1、1∶2、1∶3、2∶1、2∶3、3∶1、3∶2）的指纹图谱及特征性成分定量测定方法，分析各组样品中成分的差异性和相关性；建立脂多糖（lipopolysaccharide，LPS）诱导的RAW264.7细胞炎症模型，通过Griess法和ELISA法检测炎症因子NO、白细胞介素-1β（interleukin-1β，IL-1β）和肿瘤坏死因子-α（tumor necrosis factor-α，TNF-α）的表达量，考察不同配比下青风藤-白芍药对的抗炎作用；采用主成分分析（principal component analysis，PCA）法整合特征性成分含量与炎症因子表达量，从化学和药效2个层面综合评价青风藤-白芍药对的最佳配比。结果 7种配比的青风藤-白芍药对指纹图谱共确定了20个共有峰，其中指认了7种成分，分别为没食子酸（峰1）、青藤碱（峰7）、儿茶素（峰8）、木兰花碱（峰12）、芍药苷（峰13）、1,2,3,4,6-O-五没食子酰葡萄糖（峰17）和苯甲酰芍药苷（峰20）。青风藤-白芍药对配比为1∶2和1∶3时，青藤碱和1,2,3,4,6-O-五没食子酰葡萄糖含量较高；配比为3∶1和3∶2时，木兰花碱、没食子酸、苯甲酰芍药苷、芍药苷含量较高。细胞实验显示，青风藤-白芍药对配比为3∶2和1∶3时，有较好的抗炎活性。PCA分析发现，配比为3∶2时青风藤-白芍药对的抗炎作用的综合评价最佳。结论 该方法简单可行，通过化学成分分析和体外活性评价，揭示了不同配比下青风藤-白芍药对的特征性成分含量变化与抗炎作用的相关性，为进一步开展该药对的量-效关联性分析奠定了基础，也为临床潜方时确定适宜用量提供参考。

Objective To analyze the correlation between the content variation of characteristic components in different ratios of Qingfengteng (Sinomenii Caulis, SC) to Baishao (Paeoniae Radix Alba, PRA) and their anti-inflammatory effects. Methods HPLC was used to establish the fingerprint and characteristic component quantification methods for different ratios of the SC-PRA (1:1, 1:2, 1:3, 2:1, 2:3, 3:1, 3:2), to analyze the differences and correlations of components among the groups. Lipopolysaccharide (LPS)-induced RAW264.7 cell inflammation model was established. The expression levels of inflammatory factors NO, interleukin-1β (IL-1β), and tumor necrosis factor-α (TNF-α) were measured by the Griess method and ELISA to investigate the anti-inflammatory effects of the SC-PRA pair at different ratios. Principal component analysis (PCA) was applied to integrate the characteristic component content with the expression levels of inflammatory factors, to comprehensively evaluate the optimal ratio of the herbal pair from chemical and pharmacological perspectives. Results A total of 20 common peaks were determined in the SC-PRA pair of seven ratios, with seven components identified, namely gallic acid (peak 1), sinomenine (peak 7), catechin (peak 8), magnoflorine (peak 12), paeoniflorin (peak 13), 1,2,3,4,6-penta-O-galloyl-β-D-glucopyranose (peak 17), and benzoyl paeoniflorin (peak 20). When the ratio of SC-PRA was 1:2 or 1:3, the content of sinomenine and 1,2,3,4,6-penta-O-galloyl-β-D-glucopyranose was the highest; when the ratio was 3:1 or 3:2, the content of magnoflorine, gallic acid, benzoyl paeoniflorin, and paeoniflorin was the highest. Cell experiments indicate that the combination of SC-PRA at ratios of 3:2 and 1:3 exhibits favorable anti-inflammatory activity. PCA analysis found that the comprehensive evaluation of the anti-inflammatory effect of SC-PRA was best at a ratio of 3:2. Conclusion The research method is simple and feasible, revealing the correlation between the content variation of characteristic components and the anti-inflammatory effects of SC-PRA at different ratios through chemical component analysis and in vitro activity evaluation, laying a foundation for further quantitative-effect correlation analysis of the herbal pair, and providing a reference for determining the appropriate dosage in clinical practice.

R283.6

国家重点研发计划(2023YFC3504900);国家自然科学基金面上项目(81973419);陕西省中医药管理局"双链融合"中青年科研创新团队(2022-SLRH-YQ-003);陕西省中医药管理局科研项目(SZY-KJCYC-2025-JC-051)