目的 分析青風(fēng)藤-白芍藥對不同配比的特征性成分含量變化與其抗炎作用的相關(guān)性。方法 采用HPLC法建立青風(fēng)藤-白芍藥對不同配比（1∶1、1∶2、1∶3、2∶1、2∶3、3∶1、3∶2）的指紋圖譜及特征性成分定量測定方法，分析各組樣品中成分的差異性和相關(guān)性；建立脂多糖（lipopolysaccharide，LPS）誘導(dǎo)的RAW264.7細(xì)胞炎癥模型，通過Griess法和ELISA法檢測炎癥因子NO、白細(xì)胞介素-1β（interleukin-1β，IL-1β）和腫瘤壞死因子-α（tumor necrosis factor-α，TNF-α）的表達(dá)量，考察不同配比下青風(fēng)藤-白芍藥對的抗炎作用；采用主成分分析（principal component analysis，PCA）法整合特征性成分含量與炎癥因子表達(dá)量，從化學(xué)和藥效2個(gè)層面綜合評(píng)價(jià)青風(fēng)藤-白芍藥對的最佳配比。結(jié)果 7種配比的青風(fēng)藤-白芍藥對指紋圖譜共確定了20個(gè)共有峰，其中指認(rèn)了7種成分，分別為沒食子酸（峰1）、青藤堿（峰7）、兒茶素（峰8）、木蘭花堿（峰12）、芍藥苷（峰13）、1,2,3,4,6-O-五沒食子酰葡萄糖（峰17）和苯甲酰芍藥苷（峰20）。青風(fēng)藤-白芍藥對配比為1∶2和1∶3時(shí)，青藤堿和1,2,3,4,6-O-五沒食子酰葡萄糖含量較高；配比為3∶1和3∶2時(shí)，木蘭花堿、沒食子酸、苯甲酰芍藥苷、芍藥苷含量較高。細(xì)胞實(shí)驗(yàn)顯示，青風(fēng)藤-白芍藥對配比為3∶2和1∶3時(shí)，有較好的抗炎活性。PCA分析發(fā)現(xiàn)，配比為3∶2時(shí)青風(fēng)藤-白芍藥對的抗炎作用的綜合評(píng)價(jià)最佳。結(jié)論 該方法簡單可行，通過化學(xué)成分分析和體外活性評(píng)價(jià)，揭示了不同配比下青風(fēng)藤-白芍藥對的特征性成分含量變化與抗炎作用的相關(guān)性，為進(jìn)一步開展該藥對的量-效關(guān)聯(lián)性分析奠定了基礎(chǔ)，也為臨床潛方時(shí)確定適宜用量提供參考。

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

國家重點(diǎn)研發(fā)計(jì)劃(2023YFC3504900);國家自然科學(xué)基金面上項(xiàng)目(81973419);陜西省中醫(yī)藥管理局"雙鏈融合"中青年科研創(chuàng)新團(tuán)隊(duì)(2022-SLRH-YQ-003);陜西省中醫(yī)藥管理局科研項(xiàng)目(SZY-KJCYC-2025-JC-051)