Potential mechanisms underlying the therapeutic roles of sinisan formula in depression: Based on network pharmacology and molecular docking study
BackgroundThe 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 fo...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-11-01
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| Series: | Frontiers in Psychiatry |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyt.2022.1063489/full |
| _version_ | 1797985020615327744 |
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| author | Hui Wang Hui Wang Jiaqin Liu Jiaqin Liu Jinbiao He Dengxia Huang Yujiang Xi Ting Xiao Qian Ouyang Shiwei Zhang Siyan Wan Xudong Chen |
| author_facet | Hui Wang Hui Wang Jiaqin Liu Jiaqin Liu Jinbiao He Dengxia Huang Yujiang Xi Ting Xiao Qian Ouyang Shiwei Zhang Siyan Wan Xudong Chen |
| author_sort | Hui Wang |
| collection | DOAJ |
| description | BackgroundThe 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 methodsBioactive 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.ResultsA 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.ConclusionThis 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. |
| first_indexed | 2024-04-11T07:10:56Z |
| format | Article |
| id | doaj.art-2e91ab2ad0b54db19e42593b46a286fc |
| institution | Directory Open Access Journal |
| issn | 1664-0640 |
| language | English |
| last_indexed | 2024-04-11T07:10:56Z |
| publishDate | 2022-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychiatry |
| spelling | doaj.art-2e91ab2ad0b54db19e42593b46a286fc2022-12-22T04:38:12ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402022-11-011310.3389/fpsyt.2022.10634891063489Potential mechanisms underlying the therapeutic roles of sinisan formula in depression: Based on network pharmacology and molecular docking studyHui Wang0Hui Wang1Jiaqin Liu2Jiaqin Liu3Jinbiao He4Dengxia Huang5Yujiang Xi6Ting Xiao7Qian Ouyang8Shiwei Zhang9Siyan Wan10Xudong Chen11Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, ChinaYunnan University of Traditional Chinese Medicine, Kunming, ChinaDepartment of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, ChinaInstitute of Clinical Pharmacy, Central South University, Changsha, ChinaYunnan University of Traditional Chinese Medicine, Kunming, ChinaYunnan University of Traditional Chinese Medicine, Kunming, ChinaYunnan University of Traditional Chinese Medicine, Kunming, ChinaThe First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, ChinaHunan University of Chinese Medicine, Changsha, ChinaYunnan University of Traditional Chinese Medicine, Kunming, ChinaYunnan University of Traditional Chinese Medicine, Kunming, ChinaDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, ChinaBackgroundThe 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 methodsBioactive 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.ResultsA 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.ConclusionThis 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.https://www.frontiersin.org/articles/10.3389/fpsyt.2022.1063489/fullsinisan formuladepressionnetwork pharmacologymolecular dockingneurotransmitter-related mechanisms |
| spellingShingle | Hui Wang Hui Wang Jiaqin Liu Jiaqin Liu Jinbiao He Dengxia Huang Yujiang Xi Ting Xiao Qian Ouyang Shiwei Zhang Siyan Wan Xudong Chen Potential mechanisms underlying the therapeutic roles of sinisan formula in depression: Based on network pharmacology and molecular docking study Frontiers in Psychiatry sinisan formula depression network pharmacology molecular docking neurotransmitter-related mechanisms |
| title | Potential mechanisms underlying the therapeutic roles of sinisan formula in depression: Based on network pharmacology and molecular docking study |
| title_full | Potential mechanisms underlying the therapeutic roles of sinisan formula in depression: Based on network pharmacology and molecular docking study |
| title_fullStr | Potential mechanisms underlying the therapeutic roles of sinisan formula in depression: Based on network pharmacology and molecular docking study |
| title_full_unstemmed | Potential mechanisms underlying the therapeutic roles of sinisan formula in depression: Based on network pharmacology and molecular docking study |
| title_short | Potential mechanisms underlying the therapeutic roles of sinisan formula in depression: Based on network pharmacology and molecular docking study |
| title_sort | potential mechanisms underlying the therapeutic roles of sinisan formula in depression based on network pharmacology and molecular docking study |
| topic | sinisan formula depression network pharmacology molecular docking neurotransmitter-related mechanisms |
| url | https://www.frontiersin.org/articles/10.3389/fpsyt.2022.1063489/full |
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