ORIGINAL RESEARCH article

Front. Nutr.

Sec. Nutrition, Psychology and Brain Health

Volume 12 - 2025 | doi: 10.3389/fnut.2025.1612746

Mechanistic insights into the anti-depressant effect of quercetin: an integrated bibliometrics, bioinformatics, and animal experimentation Mechanistic insights into the anti-depressant effect of quercetin: an integrated bibliometrics, bioinformatics, and animal experimentation

Provisionally accepted
Zhujin  SongZhujin Song1,2Yuhua  WuYuhua Wu1Liping  LuoLiping Luo1Qingqing  HuQingqing Hu1Qun  LiQun Li1Miaolian  WuMiaolian Wu1*Guoqing  ZhangGuoqing Zhang3*
  • 1International Institutes of Medicine, Fourth Affiliated Hospital, School of Medicine, Zhejiang University, Yiwu, China
  • 2School of Basic Medical Sciences and School of Public Health, Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, China
  • 3Department of Clinical Nutrition, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China

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

Objectives: Accumulating clinical evidence demonstrates the therapeutic potential of Traditional Chinese Medicine (TCM) in mitigating depressive disorders. This research focuses on quercetin, a principal bioactive constituent shared among five classical TCM antidepressant formulations, to systematically decode its multi-target mechanisms via an integrative framework combining neuroinflammatory modulation and synaptic plasticity regulation.Methods: A tripartite experimental design was implemented. Firstly, bibliometric analysis systematically screened antidepressant TCM prescriptions and their bioactive components.Secondly, network pharmacology delineated the therapeutic mechanisms of quercetin -a key phytochemical identified through prior analysis. Finally, we established a chronic unpredictable mild stress (CUMS)-induced depression-like behavior model in mice for validation.Results: Bibliometric analysis showed that the clinical efficacy of 5 TCM antidepressant prescriptions were identified by evidence-based medicine. In these prescriptions, Radix Bupleuri, 2 Rhizoma Cyperi, and Radix Glycyrrhizae were the most commonly used herbs, while Quercetin was identified as the shared bioactive nexus across these prescriptions. Network pharmacology analysis revealed that quercetin may be closely related to PI3K/AKT pathway in depression. And results of animal experimentation showed that quercetin could improve depression-like behaviors and restore neurotransmitters levels. Concurrently, quercetin may inhibit neuroinflammation and ameliorate synaptic ultrastructural by PI3K/AKT pathway.The present study elucidated the mechanism of quercetin, an active ingredient in TCM prescriptions, in the treatment of depression through data mining, network pharmacology prediction, and experimental validation. This integrated research method will provide a new perspective for the development of TCM.

Keywords: Quercetin, Depression, Bibliometrics, Network Pharmacology, Animal Experimentation

Received: 16 Apr 2025; Accepted: 18 Jun 2025.

Copyright: © 2025 Song, Wu, Luo, Hu, Li, Wu and Zhang. 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:
Miaolian Wu, International Institutes of Medicine, Fourth Affiliated Hospital, School of Medicine, Zhejiang University, Yiwu, China
Guoqing Zhang, Department of Clinical Nutrition, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China

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