ArticleFrontiers in pharmacology2025
Exploring the patterns in traditional Chinese medicine for bipolar disorder: a data-driven network approach.
Article in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Integrating transcriptomics, network pharmacology, and GraphBAN neural networks to identify biomarkers and regulatory mechanisms of classical traditional Chinese medicine formulations in ulcerative colitis.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
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7 authors.
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Abstract
Aim of the study: 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. Methods and materials: 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 Headings. Networks were constructed using Cytoscape, with data analysis performed using Python. MTT cell viability and qRT-PCR analysis were used to perform Results: Five key botanical drugs- Conclusion: Five botanical drugs:
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