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ORIGINAL RESEARCH article

Front. Nutr.

Sec. Nutrition, Psychology and Brain Health

This article is part of the Research TopicThe Foundational Components and Elements of Plant Foods for Neurological Nutrition and Well-beingView all 12 articles

Screening of antidepressant effective active components of Pueraria and investigation of the mechanism

Provisionally accepted
Li  LiLi Li1,2Junjie  GaoJunjie Gao3Min  YanMin Yan1Li  GuanLi Guan4Ming-ming  QinMing-ming Qin3Kai  YeKai Ye3*Tao  LiTao Li1*
  • 1department of clinical laboratory, first affiliated hospital of anhui medical university, hefei, China
  • 2Department of Clinical Laboratory, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wu Hu, China
  • 3Department of Clinical Laboratory, The Second Affiliated Hospital of Wannan Medical College, Wu Hu, China
  • 4Department of Hepatology, Wuhu Third People's Hospital, Wuhu 241001, China, Wu Hu, China

The final, formatted version of the article will be published soon.

Background: Depression is a prevalent mental disorder, with its incidence rising alongside the increasing pressures of modern social life. Although medications remain a cornerstone of treatment, first-line antidepressants are often associated with significant side effects. Pueraria, a plant rich in isoflavonoid active ingredients, has demonstrated neuroprotective effects; however, the specific mechanisms behind its antidepressant components have not been fully elucidated. Methods: This study employed an integrated approach combining network pharmacology, transcriptomics, and machine learning to explore the mechanisms of Pueraria's antidepressant active ingredients. Multiple transcriptomic datasets were analyzed, and active ingredients, depression-related genes, and key targets were identified through the GEO, HERB, TCMSP, GWAS, and PDB databases. Molecular docking simulations were used to assess the binding affinity between the key active ingredients (daidzein and methyl p-coumarate) and the primary targets of Pueraria extracts. In vivo validation was conducted using a chronic mild stress (CMS) mouse model to evaluate the antidepressant effects of daidzein and methyl p-coumarate. Results: We identified eight signature genes related to both Pueraria and depression, with MMP9, MGAM, and CDK5R1 being of particular importance. Molecular docking revealed that daidzein and methyl p-coumarate strongly bind to these three key genes, supporting their neuroprotective efficacy. In vivo experiments confirmed that both daidzein and methyl p-coumarate reversed depressive-like behaviors in CMS mice, with daidzein demonstrating a particularly significant antidepressant effect. Conclusion: Pueraria, as a traditional medicinal herb with both food and medicinal uses, shows promising antidepressant potential through its active ingredient daidzein. This not only offers a novel approach for the prevention and treatment of depression but also provides new theoretical perspectives and research pathways for understanding antidepressant mechanisms.

Keywords: Pueraria, Depression, Network Pharmacology, machine learning, Neuroprotection

Received: 28 Aug 2025; Accepted: 28 Oct 2025.

Copyright: © 2025 Li, Gao, Yan, Guan, Qin, Ye and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Kai Ye, yekai_16@163.com
Tao Li, limedical1974@126.com

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