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中国精品科技期刊2020
陈妙莹,李晓琦,陈彦. 基于网络药理学及指纹图谱的黄花菜抗抑郁指标成分筛选及提取工艺优化[J]. 食品工业科技,2024,45(16):47−56. doi: 10.13386/j.issn1002-0306.2023090244.
引用本文: 陈妙莹,李晓琦,陈彦. 基于网络药理学及指纹图谱的黄花菜抗抑郁指标成分筛选及提取工艺优化[J]. 食品工业科技,2024,45(16):47−56. doi: 10.13386/j.issn1002-0306.2023090244.
CHEN Miaoying, LI Xiaoqi, CHEN Yan. Screening of Antidepressant Index Components and Optimization of Extraction Process of Hemerocallis citrina Baroni Based on Network Pharmacology and Fingerprint[J]. Science and Technology of Food Industry, 2024, 45(16): 47−56. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2023090244.
Citation: CHEN Miaoying, LI Xiaoqi, CHEN Yan. Screening of Antidepressant Index Components and Optimization of Extraction Process of Hemerocallis citrina Baroni Based on Network Pharmacology and Fingerprint[J]. Science and Technology of Food Industry, 2024, 45(16): 47−56. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2023090244.

基于网络药理学及指纹图谱的黄花菜抗抑郁指标成分筛选及提取工艺优化

Screening of Antidepressant Index Components and Optimization of Extraction Process of Hemerocallis citrina Baroni Based on Network Pharmacology and Fingerprint

  • 摘要: 目的:预测并验证黄花菜抗抑郁药效成分及作用机制,得到黄花菜干花蕾最佳提取工艺。方法:基于网络药理学筛选出黄花菜抗抑郁关键活性成分、作用靶点及关键信号通路;建立黄花菜HPLC指纹图谱,并对15批江苏宿迁产地黄花菜指纹图谱进行相似度评价,指认共有峰及其中抗抑郁活性成分,结合指纹图谱及分子对接结果确定黄花菜抗抑郁指标成分,并进行黄花菜干花蕾提取工艺正交试验优化。结果:通过拓扑分析筛选得到黄花菜中异丁香酚、芦丁、金丝桃苷等10个抗抑郁关键活性成分,通过PPI蛋白相互作用网络预测得到SRC、TP53、HSP90AA1等10个关键靶点,通过GO生物功能富集分析和KEGG通路富集分析,得到癌症通路、PI3K/Akt信号通路、神经活性配体-受体相互作用信号通路等10个关键信号通路。建立了15批黄花菜HPLC指纹图谱,匹配得15个共有峰,指认得新绿原酸、芦丁、金丝桃苷、槲皮素4个抗抑郁关键成分。分子对接结果表明上述成分与靶标对接结合能均小于−5 kcal/mol。以抗抑郁关键成分总黄酮、新绿原酸、芦丁转移率及出膏率为指标,优化得黄花菜干花蕾提取工艺为料液比1:10(g/mL),提取2次,提取时间1 h。该工艺下总黄酮转移率72.12%±0.61%,新绿原酸转移率68.11%±0.65%,芦丁转移率63.40%±1.59%,出膏率52.62%±0.15%。结论:本研究通过网络药理学和指纹图谱的有机结合,筛选得黄花菜中可用于提取工艺研究的抗抑郁指标成分,且优化后的黄花菜干花蕾提取工艺稳定可行,为黄花菜的抗抑郁功能食品开发提供理论依据。

     

    Abstract: Objective: To predict and validate the antidepressant pharmacodynamic components and mechanism of action of Hemerocallis citrina Baroni (H.citrina) and to determine the optimal extraction process of H.citrina. Methods: The key active ingredients, action targets and key signaling pathways of H.citrina were selected by network pharmacology. HPLC fingerprints of H.citrina were established, and similarity evaluation was conducted on 15 batches of H.citrina fingerprints from Suqian, Jiangsu Province. The common peak and the antidepressant active components in the fingerprints were identified. The key antidepressant index components of H.citrina were determined based on the results of the fingerprints and molecular docking. An orthogonal experiment was conducted to optimize the extraction process of H.citrina. Results: According to the result of topology analysis,10 key antidepressant active ingredients in H.citrina were identified, such as isoeugenol, rutin and hyperoside. The protein-protein interaction (PPI) network of H.citrina and depressive disorder targets were constructed and cluster analysis was applied, resulted to that the active ingredient targets on 10 key proteins such as SRC, TP53, HSP90AA1. Enrichment analysis of the gene ontology (GO) function and Kyoto Encyclopedia of genes and genomes (KEGG) signaling pathway for the key anti-inflammatory targets of H.citrina were applied and 10 key KEGG signal pathways were obtained, including the cancer pathway, PI3K/Akt signaling pathway, neuroactive ligand-receptor interaction signaling pathway and so on. The HPLC fingerprints of 15 batches of H.citrina were established, and 15 common peaks were obtained. Among them, four key components of antidepressant were identified: Nechlorogenic acid, rutin, hyperoside and quercetin. Molecular docking results showed that the docking binding energies of the above components to the target were all less than −5 kcal/mol. The transfer rate of the components (total flavonoids, neochlorogenic acid and rutin) and solid yield of H. citrina were used as indicators. The extraction process of H.citrina was optimized as the ratio of material-liquid 1:10 (g/mL), the extraction process was twice, and the extraction time was 1 hour. The optimized process resulted in a transfer rate of 72.12%±0.61% for total flavonoids, 68.11%±0.65% for neochlorogenic acid, 63.40%±1.59% for rutin, and a solid yield of 52.62%±0.15%. Conclusion: Through the organic combination of network pharmacology and fingerprint, the antidepressant index components from H.citrina are screened out for extraction technology research. The optimized H.citrina extraction process of H.citrina was stable and feasible, providing a theoretical basis for the development of research on H. citrina as an antidepressant functional food.

     

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