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中国精品科技期刊2020
周嘉靖,黄丹,卢红梅,等. 基于网络药理学探究没食子酸对秀丽隐杆线虫的抗衰老作用机制[J]. 食品工业科技,2025,46(23):419−427. doi: 10.13386/j.issn1002-0306.2024120009.
引用本文: 周嘉靖,黄丹,卢红梅,等. 基于网络药理学探究没食子酸对秀丽隐杆线虫的抗衰老作用机制[J]. 食品工业科技,2025,46(23):419−427. doi: 10.13386/j.issn1002-0306.2024120009.
ZHOU Jiajing, HUANG Dan, LU Hongmei, et al. Exploring the Anti-aging Mechanism of Gallic Acid on Caenorhabditis elegans Based on Network Pharmacology[J]. Science and Technology of Food Industry, 2025, 46(23): 419−427. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2024120009.
Citation: ZHOU Jiajing, HUANG Dan, LU Hongmei, et al. Exploring the Anti-aging Mechanism of Gallic Acid on Caenorhabditis elegans Based on Network Pharmacology[J]. Science and Technology of Food Industry, 2025, 46(23): 419−427. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2024120009.

基于网络药理学探究没食子酸对秀丽隐杆线虫的抗衰老作用机制

Exploring the Anti-aging Mechanism of Gallic Acid on Caenorhabditis elegans Based on Network Pharmacology

  • 摘要: 目的:通过网络药理学的方法探究没食子酸对于秀丽隐杆线虫的抗衰老作用。方法:用不同浓度的没食子酸对线虫进行处理,观察给药组和Control组线虫的自然寿命、抗逆能力、活动能力、抗氧化酶活力和丙二醛含量的情况,以此探究没食子酸对线虫抗衰老的效果。通过Pharmmapper和Swisstargetprediction两个数据库获得药物靶点,Genecards数据库获得衰老靶点,利用STRING数据库和Cytoscape构建PPI网络,DAVID数据库和微生信平台进行GO以及KEGG富集分析,运用AutoDock进行分子对接验证,用以探究没食子酸抗衰老的作用机制。结果:与Control组相比,给药组可以不同程度地改善线虫在自然情况下的生存情况,增强线虫在紫外、氧化、高温情况下的生存能力,增强线虫体内超氧化物歧化酶(SOD)、过氧化氢酶(CAT)的活力,降低丙二醛(MDA)的含量。此外,从PPI网络中得知AKT1、MMP9、SRC、PIK3R1、HSP90AA1可能为没食子酸抗衰老的关键靶点,KEGG通路分析结果可知,大部分相关靶点富集于癌症通路和代谢途径通路中,表明此二者与没食子酸抗衰老过程息息相关,分子对接验证结果可知,没食子酸与关键靶点间的对接效果较为良好。结论:没食子酸对秀丽隐杆线虫有着较为良好的抗衰老效果,而且没食子酸发挥抗衰老的作用可能是通过作用于上述5个关键靶点,调节代谢途径通路与癌症通路等,由此发挥着抗衰老的效果。

     

    Abstract: Objective: To explore the anti-aging effect of gallic acid on Caenorhabditis elegans through network pharmacological methods. Methods: The nematodes were treated with different concentrations of gallic acid, and their natural lifespan, stress resistance, locomotor activity, antioxidant enzyme activity, and malondialdehyde (MDA) content were observed in both the treated and control groups to investigate the anti-aging effect of gallic acid on nematodes. Drug targets were obtained from the Pharmmapper and Swisstargetprediction databases, while aging targets were retrieved from the Genecards database. The PPI (Protein-Protein Interaction) network was constructed using the STRING database and Cytoscape. GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) enrichment analyses were performed using the DAVID database and the Microarray Bioinformatics platform. Molecular docking validation was conducted using AutoDock to explore the anti-aging mechanism of gallic acid. Results: Compared to the control group, the treated group exhibited varying degrees of improvement in the survival of nematodes under natural conditions. The nematodes in the treated group also enhanced survival abilities under ultraviolet radiation, oxidative stress, and high temperature conditions. Furthermore, the activities of superoxide dismutase (SOD) and catalase (CAT) within the nematodes were increased, while the content of malondialdehyde (MDA) was decreased. Additionally, the PPI network revealed that AKT1, MMP9, SRC, PIK3R1, and HSP90AA1 might be key targets of gallic acid in its anti-aging effect. Analysis of the KEGG pathways showed that most of the relevant targets were enriched in cancer pathways and metabolic pathways, suggesting that these two pathways were closely related to the anti-aging process of gallic acid. The results of molecular docking validation indicated that the docking effect between gallic acid and these key targets was relatively good. Conclusion: Gallic acid exhibits relatively good anti-aging effects on Caenorhabditis elegans, and its anti-aging action may be mediated through its interaction with the aforementioned five key targets, regulating metabolic pathways and cancer pathways, thereby exerting its anti-aging effects.

     

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