ArticleFrontiers in psychiatry2022
Potential mechanisms underlying the therapeutic roles of sinisan formula in depression: Based on network pharmacology and molecular docking study.
Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 18 citations in OpenAlex.
- Si-Ni-San alleviates depression-like behavior via regulating the gut microbiota-tryptophan metabolism-AhR/NF-κB pathway axis.Chinese medicine · 2026Article
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- Multi-target Mechanisms of Si-Ni-San on Anxious Insomnia: An Example of Network-pharmacology and Molecular Docking Analysis.Current medicinal chemistry · 2025Article
- Antidepressant Properties of a Four-compound Cocktail Identified from Si-Ni-San by HIF-1 Pathway Modulation.Current computer-aided drug design · 2025Article
- Depression, stress, and tryptophan metabolism through the kynurenine pathway: treatment strategies from the perspective of Chinese herbal medicine.Metabolic brain disease · 2024Review
- Whole-Genome Sequences of 13 Chinese Indigenous Pinewood Nematodes,International journal of molecular sciences · 2024Article
- Exploring the transformative impact of traditional Chinese medicine on depression: Insights from animal models.World journal of psychiatry · 2024Review
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- Sini San ameliorates lipid metabolism in hyperprolactinemia rat with liver-depression.Current research in food science · 2024Article
- Neuroprotective effects of total phenolics fromFrontiers in pharmacology · 2024Article
- Towards Novel Potential Molecular Targets for Antidepressant and Antipsychotic Pharmacotherapies.International journal of molecular sciences · 2023Review
- Antidepressant pharmacological mechanisms: focusing on the regulation of autophagy.Frontiers in pharmacology · 2023Review
- Potential Therapeutic Mechanism of Radix Angelicae Biseratae and Dipsaci Radix Herb Pair against Osteoarthritis: Based on Network Pharmacology and Molecular Docking.Evidence-based complementary and alternative medicine : eCAM · 2023Article
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10 authors at 4 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Background: The incidence of depression has been increasing globally, which has brought a serious burden to society. Sinisan Formula (SNSF), a well-known formula of traditional Chinese medicine (TCM), has been found to demonstrate an antidepressant effect. However, the therapeutic mechanism of this formula remains unclear. Thus, the present study aimed to explore the mechanism of SNSF in depression through network pharmacology combined with molecular docking methods. Materials and methods: Bioactive compounds, potential targets of SNSF, and related genes of depression were obtained from public databases. Essential ingredients, potential targets, and signaling pathways were identified using bioinformatics analysis, including protein-protein interaction (PPI), the Gene Ontology (GO), and the Kyoto Encyclopedia of Genes and Genomes (KEGG). Subsequently, Autodock software was further performed for conducting molecular docking to verify the binding ability of active ingredients to targets. Results: A total of 91 active compounds were successfully identified in SNSF with the use of the comprehensive network pharmacology approach, and they were found to be closely connected to 112 depression-related targets, among which CREB1, NOS3, CASP3, TP53, ESR1, and SLC6A4 might be the main potential targets for the treatment of depression. GO analysis revealed 801 biological processes, 123 molecular functions, and 67 cellular components. KEGG pathway enrichment analysis indicated that neuroactive ligand-receptor interaction, serotonergic synapse pathways, dopaminergic synapse pathways, and GABAergic synapse pathways might have played a role in treating depression. Molecular docking suggested that beta-sitosterol, nobiletin, and 7-methoxy-2-methyl isoflavone bound well to the main potential targets. Conclusion: This study comprehensively illuminated the active ingredients, potential targets, primary pharmacological effects, and relevant mechanism of the SNSF in the treatment of depression. SNSF might exert its antidepressant effects by regulating the signaling pathway of 5-hydroxytryptamine, dopamine, GABA, and neuroactive ligand receptor interactions. Still, more pharmacological experiments are needed for verification.
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