基于谱效关系筛选青蒿叶总黄酮的抗类风湿关节炎滑膜炎有效成分

IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Phytochemical Analysis Pub Date : 2024-11-12 DOI:10.1002/pca.3479
Yu Shi, Yueyue Lei, Shiwen Guo, Lujun Li, Xu Li, Xinyi Liu, Shuiping Ding
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引用次数: 0

摘要

导言:黄酮类化合物是青蒿叶片具有抗类风湿性关节炎(RA)滑膜炎活性的主要非挥发性成分。然而,其有效成分仍未确定。谱效关系分析是发现中草药有效成分的一种可靠而有效的策略:本研究旨在根据谱效关系从艾蒿总黄酮(TFAA)中筛选出具有抗RA滑膜炎活性的有效成分:方法:从15个不同批次的青蒿中通过乙醇提取并用D101树脂纯化得到TFAA。通过测定一氧化氮(NO)对 TNF-α 诱导的 MH7A 滑膜母细胞的抑制率来评价其对 RA 滑膜炎的疗效。使用 HPLC-MS/MS 和真品标准鉴定了共同峰。通过灰色关系分析(GRA)、典型相关分析(CCA)和偏最小二乘法回归分析(PLSR)分析了指纹图谱与药效之间的谱效关系,确定了抗RA滑膜炎活性的峰,并通过体外抗RA滑膜炎实验和分子对接研究进一步验证了结果:结果:指纹图谱显示了 14 个共同峰,鉴定出 12 个化合物,包括 4 个咖啡酰奎宁酸和 8 个黄酮类化合物。其中,5种黄酮类化合物--X10(hispidulin)、X11(jaceosidin)、X12(centaureidin)、X13(eupatilin)和X14(casticin)--与抗RA滑膜炎活性高度相关。验证实验证实了它们对 MH7A 细胞 NO 生成和细胞因子分泌的抑制作用,显示了抗RA 滑膜炎的潜力,这与已建立的谱效应关系一致。其潜在机制可能与抑制 iNOS 有关:结论:Hispidulin、jaceosidin、centaureidin、eupatilin和casticin是反式脂肪酸抗RA滑膜炎作用的主要有效成分。这些化合物可作为青蒿叶片的质量控制标志物和抗RA滑膜炎治疗的先导化合物。
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Screening Anti-Rheumatoid Arthritis Synovitis Effective Ingredients of Total Flavonoid From Artemisia argyi Folium Based on Spectrum-Effect Relationship.

Introduction: Flavonoids are the main nonvolatile component responsible for the anti-rheumatoid arthritis (RA) synovitis activities of Artemisia argyi Folium. However, the effective ingredient remains unidentified. Spectrum-effect relationships analysis was a reliable and efficient strategy for herbal effective ingredient discovery.

Objectives: This study aimed to screen the effective ingredients within the total flavonoid from Artemisia argyi Folium (TFAA) that exhibit anti-RA synovitis activities based on spectrum-effect relationship.

Methods: TFAA was obtained through ethanol extraction and subsequent purification with D101 resin from 15 distinct batches of Artemisia argyi Folium. The fingerprint of TFAA was established using HPLC, and its efficacy against RA synovitis was evaluated by determining the inhibition rate of nitric oxide (NO) on MH7A synovioblast induced by TNF-α. Common peaks were identified using HPLC-MS/MS and authentic standards. The spectrum-effect relationships between the fingerprints and efficacy were analyzed by gray relational analysis (GRA), canonical correlation analysis (CCA), and partial least squares regression analysis (PLSR) to pinpoint the peaks responsible for the anti-RA synovitis activity, and the results were further verified by in vitro anti-RA synovitis experiments and molecular docking studies.

Results: The fingerprint revealed 14 common peaks, and 12 compounds were identified, including four caffeoylquinic acids and eight flavonoids. Among them, five flavonoids-X10 (hispidulin), X11 (jaceosidin), X12 (centaureidin), X13 (eupatilin), and X14 (casticin)-were highly relevant to anti-RA synovitis activity. Verification experiments confirmed their inhibitory effect on NO production and cytokine secretion in MH7A cells, showing anti-RA synovitis potential, which was consistent with the established spectrum effect relationship. The underlying mechanism might be related to the inhibition of iNOS.

Conclusion: Hispidulin, jaceosidin, centaureidin, eupatilin, and casticin were the key effective ingredient of TFAA responsible for its anti-RA synovitis effects. These compounds can serve as quality control markers for Artemisia argyi Folium and as lead compounds for anti-RA synovitis treatment.

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来源期刊
Phytochemical Analysis
Phytochemical Analysis 生物-分析化学
CiteScore
6.00
自引率
6.10%
发文量
88
审稿时长
1.7 months
期刊介绍: Phytochemical Analysis is devoted to the publication of original articles concerning the development, improvement, validation and/or extension of application of analytical methodology in the plant sciences. The spectrum of coverage is broad, encompassing methods and techniques relevant to the detection (including bio-screening), extraction, separation, purification, identification and quantification of compounds in plant biochemistry, plant cellular and molecular biology, plant biotechnology, the food sciences, agriculture and horticulture. The Journal publishes papers describing significant novelty in the analysis of whole plants (including algae), plant cells, tissues and organs, plant-derived extracts and plant products (including those which have been partially or completely refined for use in the food, agrochemical, pharmaceutical and related industries). All forms of physical, chemical, biochemical, spectroscopic, radiometric, electrometric, chromatographic, metabolomic and chemometric investigations of plant products (monomeric species as well as polymeric molecules such as nucleic acids, proteins, lipids and carbohydrates) are included within the remit of the Journal. Papers dealing with novel methods relating to areas such as data handling/ data mining in plant sciences will also be welcomed.
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