UPLC-Q-TOF-MS, Network Pharmacology and Molecular Docking to Reveal the Antidepressant Mechanism of the Different Components of Medicinal and Edible Lilies (Lilium sp. pl).

IF 1.6 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Zhaoyang Tan, Linghe Huang, Yanqiu Tian, Sai Jiang, Zhi Wang, Hongping Long, Qiaozhen Tong, Shunxiang Li, Lin Jiang
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引用次数: 0

Abstract

Background and objectives: To explore the mechanism of action of the differential components of medicinal and edible lilies in treating depression by network pharmacology using UPLC-Q-TOF-MS technology.

Methods: The chemical composition of medicinal and edible lilies was analyzed, screening for unique medicinal compounds. Searched for depression-related targets. Constructed PPI networks. Performed GO and KEGG analyses. Built a network of differential components, and conducted molecular docking. In addition, the contents of regaloside before and after lily processing were compared Results: Medicinal lilies and edible lilies have 17 main differences, including regaloside B and regaloside E. There are 179 targets for actives, 2690 for antidepressants, and 98 intersected. Core targets (7) led to 238 GO processes and 107 KEGG pathways. The molecular docking results showed that 17 components, including regaloside B, regaloside E, (25R)-3β,17α-Dihydroxy-5α- spirostan-6-one 3-O-α-L- rhamnopyranosyl-(1→2)-β- D-glucopyranoside (Named: Lilium lancifolium saponin), etc. could act on 7 potential targets such as EGFR, HSP90AA1, STAT3, TNF, etc. to exert antidepressant effects.

Conclusion: This study employed a network pharmacology combined with a molecular docking approach to compare the active constituents of medicinal and edible lilies in antidepressants, and their pharmacological mechanisms, both theoretically and technically. The phytoconstituents were found to act mainly by inhibiting the inflammatory response in depression. Especially Lilium lancifolium saponin may have a close relationship with antidepressants. These results provide some justification for lilies in the treatment of depression.

UPLC-Q-TOF-MS、网络药理学和分子对接揭示药用和食用百合不同成分的抗抑郁机制
背景与目的:利用UPLC-Q-TOF-MS技术,探讨药用和食用百合不同成分治疗抑郁症的网络药理学作用机制。方法:对药用百合花和食用百合花进行化学成分分析,筛选独特的药用化合物。寻找与抑郁症相关的目标。构建PPI网络。进行GO和KEGG分析。构建差分组分网络,进行分子对接。结果:药用百合花与食用百合花的主要差异有17个,其中包括雷加甲苷B和雷加甲苷e,其中活性靶点179个,抗抑郁靶点2690个,交叉靶点98个。核心靶点(7)导致238个GO过程和107个KEGG途径。分子对接结果显示,包括雷伽甲苷B、雷伽甲苷E、(25R)-3β、17α-二羟基-5α-螺聚糖-6- 1 3-O-α- l-鼠李糖-(1→2)-β- d -葡萄糖吡喃苷(命名:百合皂苷)等17种成分可作用于EGFR、HSP90AA1、STAT3、TNF等7个潜在靶点,发挥抗抑郁作用。结论:本研究采用网络药理学结合分子对接的方法,比较了药用和食用百合花在抗抑郁药中的有效成分及其在理论和技术上的作用机制。发现植物成分主要通过抑制抑郁症的炎症反应起作用。尤其是百合皂苷可能与抗抑郁药物有密切关系。这些结果为百合花治疗抑郁症提供了一些理由。
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来源期刊
CiteScore
3.10
自引率
5.60%
发文量
327
审稿时长
7.5 months
期刊介绍: Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.
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