ORIGINAL RESEARCH article
Front. Pharmacol.
Sec. Ethnopharmacology
Volume 16 - 2025 | doi: 10.3389/fphar.2025.1524345
Exploring the Patterns in Traditional Chinese Medicine for Bipolar Disorder: A Data-Driven Network Approach Authors
Provisionally accepted
- 1Hong Kong Baptist University, Kowloon, Hong Kong, SAR China
- 2Lanzhou University, Lanzhou, Gansu Province, China
- 3The Education University of Hong Kong, Tai Po, Hong Kong, SAR China
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Traditional Chinese Medicine offers a holistic approach that could provide complementary benefits for bipolar disorder treatment. However, the clinical cases in Traditional Chinese Medicine are highly dispersed, creating challenges for translational research. This study employs a novel data-mining-derived approach to identify treatment patterns and active metabolite interactions within these clinical cases.Bipolar disorder-related targets were determined using DisGeNET and GeneCards databases. Active botanical drugs were extracted from the BATMAN-TCM 2.0 database. All terms for botanical drugs and diseases were confirmed via the Pharmacopoeia of the People's Republic of China 2020 Edition and Medical Subject
Keywords: bioinformatics, Data Mining, Bipolar Disorder, Chinese medicine, Network analysis
Received: 11 Nov 2024; Accepted: 26 May 2025.
Copyright: © 2025 SUN, CHU, PENG, HU, WANG, ZHANG and YUNG. 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:
Zhu ZHANG, Hong Kong Baptist University, Kowloon, Hong Kong, SAR China
Kin Lam Ken YUNG, The Education University of Hong Kong, Tai Po, Hong Kong, SAR China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.