Quantitative Analysis and Network Pharmacology-Based Profiling of Isolated Metabolites from Swertia purpurascens (D.Don) C.B. Clarke

IF 3.6 3区 工程技术 Q2 CHEMISTRY, ANALYTICAL
Km Swati, Nitin Kumar, Taniya Sharma, Pooja Bhatt, Pamita Bhandari
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Abstract

Swertia purpurascens is an important ethno-medicinal herb used for treating fever and colds. Despite its significance, the phytochemical profile of this species remains unexplored. This study aims to conduct a phytochemical investigation, develop a green and reliable analytical method assessing 11 specialized metabolites of S. purpurascens, and identify their suitable biological targets via network pharmacology. Among isolated metabolites, 3-hydroxybenzyl-β-d-glucopyranoside (1) has been reported for the first time from the Swertia genus, whereas compounds gentiopicroside (2), 1-hydroxy-3,5-dimethoxyxanthone (5), and methylswertianin (6) have been isolated for the first time from S. purpurascens. The developed method showed good linearity, sensitivity, precision, accuracy, and a positive green analytical profile. Results revealed that the stem part was the major source of metabolites (Yield: 125.70 ± 1.79 mg/g), compared with the other analyzed parts (flowers, leaves, and roots). Compounds 2 (0.72%–6.94%), 9 (0.08%–5.61%), and 1 (0.07%–2.71%) were quantified as the major compounds among different plant parts. Furthermore, network pharmacology analysis predicted the potential therapeutic relevance of these compounds with suggested pathways related to diabetes and cancer diseases. This study represents the first attempt to simultaneously quantify 11 specialized metabolites of S. purpurascens and to perform a network pharmacology-based analysis, thereby enriching its phytochemical understanding.

紫癜獐牙菜(Swertia purpurascens)代谢物的定量分析和网络药理学分析。
紫癜獐牙菜是一种重要的民族药材,用于治疗发烧和感冒。尽管具有重要意义,但该物种的植物化学特征仍未被探索。本研究旨在开展植物化学研究,建立一种绿色可靠的分析方法,评估紫癜紫檀11种特殊代谢产物,并通过网络药理学方法确定其合适的生物学靶点。其中,3-羟基苄基-β-d-葡萄糖吡喃苷(1)为首次从獐牙菜属植物中分离得到,而龙胆苦苷(2)、1-羟基-3,5-二甲氧基山酮(5)和甲基獐牙菜苷(6)为首次从紫癜属植物中分离得到。该方法具有良好的线性、灵敏度、精密度、准确度和良好的绿色分析曲线。结果表明,与花、叶、根等部位相比,茎部是代谢物的主要来源,产率为125.70±1.79 mg/g。化合物2(0.72% ~ 6.94%)、9(0.08% ~ 5.61%)和1(0.07% ~ 2.71%)是不同部位的主要化合物。此外,网络药理学分析预测了这些化合物与糖尿病和癌症疾病相关途径的潜在治疗相关性。本研究首次尝试同时量化紫癜菌的11种特殊代谢物,并进行基于网络药理学的分析,从而丰富其植物化学认识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of separation science
Journal of separation science 化学-分析化学
CiteScore
6.30
自引率
16.10%
发文量
408
审稿时长
1.8 months
期刊介绍: The Journal of Separation Science (JSS) is the most comprehensive source in separation science, since it covers all areas of chromatographic and electrophoretic separation methods in theory and practice, both in the analytical and in the preparative mode, solid phase extraction, sample preparation, and related techniques. Manuscripts on methodological or instrumental developments, including detection aspects, in particular mass spectrometry, as well as on innovative applications will also be published. Manuscripts on hyphenation, automation, and miniaturization are particularly welcome. Pre- and post-separation facets of a total analysis may be covered as well as the underlying logic of the development or application of a method.
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