Suppr超能文献

基于生物活性及超高效液相色谱-四极杆-轨道阱质谱联用技术的板蓝根颗粒抗流感物质基础的发现与分子解析

Discovery and molecular elucidation of the anti-influenza material basis of Banlangen granules based on biological activities and ultra-high performance liquid chromatography coupled with quadrupole-orbitrap mass spectrometry.

作者信息

Qian Xiu-Yu, Nie Li-Xing, Zhao Hui, Dai Zhong, Ma Shuang-Cheng, Liu Jin-Mei, Kuang Yan-Hui

机构信息

Chinese Pharmaceutical Association, International Cooperation Department, Beijing, PR China.

National Institutes for Food and Drug Control, National Medical Products Administration, Beijing, PR China.

出版信息

J Ethnopharmacol. 2022 Nov 15;298:115683. doi: 10.1016/j.jep.2022.115683. Epub 2022 Aug 31.

Abstract

ETHNOPHARMACOLOGICAL RELEVANCE

Traditional Chinese medicine (TCM) has a wide range of applications, including human healthcare-associated treatments and bioactive compound discovery. However, complex chemical systems present a significant challenge for chemical-material-based research and quality control. For instance, Banlangen (BLG) granules is a well-acknowledged TCM preparation widely used in clinical treatment of virus infection. However, its chemical basis of anti-influenza efficacy remains unclear.

AIM OF THE STUDY

In the present study, a systematic discovery strategy for identifying anti-influenza molecules based on biological activities and chemical analysis was established to contribute to the molecular elucidation of the anti-influenza material basis of Banlangen granules.

MATERIALS AND METHODS

Hemagglutinase inhibition (HAI) and neuraminidase inhibition (NAI) assays were used to compare the anti-influenza activities of different fractions of BLG granules against H1N1, H5N1 and H7N9 viruses. A comparative qualitative analysis of the chemical constituents in BLG granules and their fractions was performed using ultra-high-performance liquid chromatography coupled with quadrupole orbitrap mass spectrometry (UHPLC-Q-Exactive Orbitrap MS), in which a multiple mass spectrometry database platform and three compound identification strategies were used. The association between anti-influenza activities and chemical constituent characteristics was analyzed using multiple stoichiometries and data comparison strategies.

RESULTS

The results showed that the chromatography fractions F3 and F4 of the BLG granules had the highest anti-influenza activity. A total of 88 compounds were identified in the BLG granules, including 31 alkaloids, 16 organic acids, 10 nucleosides, 8 phenylpropanoids, 6 sulfur-containing compounds, 5 amino acids, 4 aromatic compounds, 3 aldehydes and ketones, 2 flavonoids, 1 alcohol, 1 carbohydrate, and 1 aliphatic compound. Out of these, 31 characteristic compounds were identified in fractions F3-F4 as candidate compounds with anti-influenza activity. Additionally, 6-methoxyquinoline and 4-guanidinobutanal were identified in BLG granules and its raw material (Isatidis Radix) for the first time.

CONCLUSION

In this study, we proposed a systematic discovery strategy to thoroughly investigate the anti-influenza activity, chemical identification, and constituents-activity relationship of BLG granules. These data not only provided a deeper understanding of the molecular mechanism of the activity of BLG granules, but also presented a basis for the discovery of potential novel drug candidates and quality evaluation and control of BLG granules.

摘要

民族药理学相关性

中药具有广泛的应用,包括与人类医疗保健相关的治疗以及生物活性化合物的发现。然而,复杂的化学体系给基于化学物质的研究和质量控制带来了重大挑战。例如,板蓝根颗粒是一种公认的中药制剂,广泛用于病毒感染的临床治疗。然而,其抗流感功效的化学基础仍不清楚。

研究目的

在本研究中,建立了一种基于生物活性和化学分析来鉴定抗流感分子的系统发现策略,以有助于阐明板蓝根颗粒抗流感物质基础的分子机制。

材料与方法

采用血凝素抑制(HAI)和神经氨酸酶抑制(NAI)试验,比较板蓝根颗粒不同组分对H1N1、H5N1和H7N9病毒的抗流感活性。使用超高效液相色谱-四极杆轨道阱质谱联用仪(UHPLC-Q-Exactive Orbitrap MS)对板蓝根颗粒及其组分中的化学成分进行了比较定性分析,其中使用了多质谱数据库平台和三种化合物鉴定策略。采用多种化学计量学和数据比较策略分析抗流感活性与化学成分特征之间的关联。

结果

结果表明,板蓝根颗粒的色谱组分F3和F4具有最高的抗流感活性。在板蓝根颗粒中总共鉴定出88种化合物,包括31种生物碱、16种有机酸、10种核苷、8种苯丙烷类、6种含硫化合物、5种氨基酸、4种芳香化合物、3种醛和酮、2种黄酮类、1种醇、1种碳水化合物和1种脂肪族化合物。其中,在F3 - F4组分中鉴定出31种特征化合物作为具有抗流感活性的候选化合物。此外,首次在板蓝根颗粒及其原料(板蓝根)中鉴定出6 - 甲氧基喹啉和4 - 胍基丁醛。

结论

在本研究中,我们提出了一种系统发现策略,以全面研究板蓝根颗粒的抗流感活性、化学鉴定以及成分 - 活性关系。这些数据不仅为深入了解板蓝根颗粒活性的分子机制提供了依据,也为发现潜在的新型候选药物以及板蓝根颗粒的质量评估和控制提供了基础。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验