食品科学 ›› 2026, Vol. 47 ›› Issue (8): 184-194.doi: 10.7506/spkx1002-6630-20250908-051

• 生物工程 • 上一篇    下一篇

结合网络药理学与分子对接的新型水开菲尔抗衰活性预测

钱雪芹,王菁,林思敏,唐性杨,阮晖   

  1. (1.浙江大学生物系统工程与食品科学学院,浙江 杭州 310058;2.珀莱雅化妆品股份有限公司,浙江 杭州 310000)
  • 出版日期:2026-04-25 发布日期:2026-05-15
  • 基金资助:
    浙江大学与珀莱雅化妆品股份有限公司合作项目(2023330004003652)

Predicting the Anti-aging Activity of Novel Water Kefir by Combining Network Pharmacology and Molecular Docking

QIAN Xueqin, WANG Jing, LIN Simin, TANG Xingyang, RUAN Hui   

  1. (1. College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China; 2. PROYA Cosmetics Co. Ltd., Hangzhou 310000, China)
  • Online:2026-04-25 Published:2026-05-15

摘要: 目的:解析纯菌混合发酵水开菲尔的代谢产物组成并预测其抗衰老潜能,为功能性开菲尔饮品的研发提供理论支撑。方法:采用超高效液相色谱-傅里叶变换质谱联用技术对发酵产物开展非靶向代谢组学分析,系统鉴定代谢物成分;并结合网络药理学与分子对接,探讨关键代谢物的潜在抗衰老机制。结果:共鉴定出748 种差异代谢物,经主成分分析和正交偏最小二乘判别分析筛选出288 种显著上调的代谢物;网络药理学筛选出10 种核心功效成分、348 个代谢物靶点及159 个疾病相关交集靶点,基因本体论富集分析揭示共有1 691 条生物过程、134 条细胞组分和259 条分子功能代谢通路;京都基因与基因组百科全书富集获得186 条相关通路,基于网络拓扑学确定丝氨酸/苏氨酸激酶1、雌激素受体1、热休克蛋白90α家族A类成员1、磷脂酰肌醇-4,5-二磷酸3-激酶催化亚基α、磷脂酰肌醇3-激酶调节亚基1、原癌基因酪氨酸蛋白激酶Src为6 个核心靶点;分子对接显示儿茶素、山柰酚、表没食子儿茶素、2,7-二羟基-4’-甲氧基异黄酮与核心靶点蛋白具有较强结合自由能。体外活性测定结果表明,新型开菲尔对1,1-二苯基-2-三硝基苯肼自由基、2,2’-联氮双(3-乙基苯并噻唑啉-6-磺酸)阳离子自由基等具有良好清除活性,表现出显著的抗氧化能力。综上,新型水开菲尔可通过多成分、多靶点及多通路协同发挥抗衰老功效,本研究可为其作为功能性抗衰老饮品的开发提供科学依据。

关键词: 水开菲尔;抗衰老;代谢组学;网络药理学;分子对接

Abstract: This study aimed to analyze the metabolite composition of water kefir fermented by a mixed bacterial culture and to predict its anti-aging potential, thereby providing theoretical support for the development of functional kefir beverages. Ultra-high performance liquid chromatography-Q Exactive HF-X was employed for untargeted metabolomic analysis of fermentation products to systematically identify metabolite components. The potential anti-aging mechanisms of key metabolites were explored by combined network pharmacology and molecular docking. The results showed that a total of 748 differential metabolites were identified, and 288 significantly upregulated metabolites were selected via principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA). Network pharmacology identified 10 core bioactive components, 348 metabolite targets, and 159 disease-related intersection targets. Gene Ontology (GO) enrichment analysis revealed 1 691 biological processes, 134 cellular components, and 259 molecular functions. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis obtained 186 related pathways, and 6 core targets: RAC-alpha serine/threonine-protein kinase, estrogen receptor 1 (AKT1), estrogen receptor 1 (ESR1), heat shock protein 90 alpha family class A member 1 (HSP90AA1), phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA), phosphoinositide-3-kinase regulatory subunit 1 (PIK3R1), and proto-oncogene tyrosine-protein kinase Src (SRC) were determined based on network topology. Molecular docking indicated that catechin, kaempferol, epigallocatechin, and 2,7-dihydroxy-4’-methoxyisoflavone had strong binding energies with core target proteins. In vitro assays demonstrated that the novel water kefir exhibited good scavenging activity against 1,1-diphenyl-2-picrylhydrazyl (DPPH) radical and 2,2’-azinobis-(3-ethylbenzthiazoline-6-sulphonate) (ABTS), radical cation, showing significant antioxidant capacity. In conclusion, the novel water kefir exerts potential anti-aging effects through the synergistic action of multiple components, multiple targets, and multiple pathways, which provides a scientific basis for its development as a functional beverage with anti-aging activity.

Key words: water kefir; anti-aging; metabolomics; network pharmacology; molecular docking

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