AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Home Food Science Article
PDF (7.9 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Publishing Language: Chinese | Open Access

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

Xueqin QIAN1 Jing WANG1,2Simin LIN2Xingyang TANG1Hui RUAN1 ( )
College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
PROYA Cosmetics Co. Ltd., Hangzhou 310000, China
Show Author Information

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 1691 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.

CLC number: TS275.4 Document code: A Article ID: 1002-6630(2026)08-0184-11

References

【1】
【1】
 
 
Food Science
Pages 184-194

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
QIAN X, WANG J, LIN S, et al. Predicting the Anti-aging Activity of Novel Water Kefir by Combining Network Pharmacology and Molecular Docking. Food Science, 2026, 47(8): 184-194. https://doi.org/10.7506/spkx1002-6630-20250908-051

71

Views

0

Downloads

0

Crossref

0

Scopus

0

CSCD

Received: 08 September 2025
Published: 25 April 2026
© Beijing Academy of Food Sciences 2026.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).