ReviewFrontiers in aging neuroscience2022
Prevention and treatment of natural products from Traditional Chinese Medicine in depression: Potential targets and mechanisms of action.
Review in Frontiers in aging neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 16 citations in OpenAlex.
- Schaftoside inhibits neuroinflammation and exerts antidepressant effects through METTL3-mediated m6A modification of circ_0001470 sponging miR-183-5p to regulate MAP3K1 expression.Psychopharmacology · 2026Article
- Optimization of potential targets for antidepressant Chinese medicines: AI and multi-omics methods.Chinese medicine · 2026Review
- Antidepressant effect of Radix bupleuri - Radix paeoniae alba herb pair on chronic unpredictable mild stress rats based on cortical metabolomics.BMC complementary medicine and therapies · 2025Article
- Ginsenoside Rg1 exerts antidepressant effect by regulating hepatic kynurenine metabolism through promoting the interaction between HNF4α and PGC1α.Journal of ginseng research · 2025Article
- Study on the Mechanism of Yadanzi Oil in Treating Lung Cancer Based on Network Pharmacology and Molecular Docking Technology.ACS omega · 2024Article
- Research progress on antidepressant effects and mechanisms of berberine.Frontiers in pharmacology · 2024Review
- Care patterns and Traditional Chinese Medicine constitution as factors of depression and anxiety in patients with systemic sclerosis: A cross-sectional study during the COVID-19 pandemic.Frontiers in integrative neuroscience · 2023Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The molecular pathology involved in the development of depression is complex. Many signaling pathways and transcription factors have been demonstrated to display crucial roles in the process of depression occurrence and development. The multi-components and multi-targets of Traditional Chinese Medicine (TCM) are uniquely advantageous in the prevention and treatment of chronic diseases. This review summarizes the pharmacological regulations of natural products from TCM in the prevention and treatment of depression from the aspects of transcription factors (CREB, NF-κB, Nrf2) and molecular signaling pathways (BDNF-TrkB, MAPK, GSK-3β, TLR-4).
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