基于网络药理学和生物信息学探索逍遥散和柴胡疏肝散“同病异治”抑郁症的作用机制
Study on Mechanism of Xiaoyao Powder and Chaihu Shugan Powder for Treating Depression in “the Same Disease with Different Treatments” Based on Network Pharmacology and Bioinformatics
摘要: 目的:使用网络药理学和生物信息学对在线数据库相关药材和疾病的数据进行挖掘并应用计算机工具探索逍遥散和柴胡疏肝散两个中药方剂“同病异治”抑郁症的活性成分和作用机制。方法:从TCMID、TCMSP、BATMAN-TCM 3个数据库中获取逍遥散和柴胡疏肝散两个药方组分、活性成分及其对应药物靶点信息。基于PharmGKB、DrugBank、OMIM、TTD、GeneCards五个疾病数据库结合NCBI-GEO生物芯片筛选抑郁症疾病靶点,比较药物靶点与疾病靶点的相关性。利用String在线分析工具和Cytoscape3.8.0对药物活性成分–疾病靶点进行可视化作图,采用拓扑分析、模块分析、GO富集分析和KEGG通路分析探索逍遥散和柴胡疏肝散“同病异治”抑郁症的关键基因与潜在靶点及作用通路。结果:逍遥散的活性成分有75个、对应的基因靶点有1960个,柴胡舒肝散的活性成分、对应的基因靶点有138个、1548个;逍遥散、柴胡疏肝散共有靶点就只有265个,为潜在抗抑郁靶点。经过网络分析以及拓扑和模块分析,得到MAPK14、NOS3、TOP2A、PTGS1、PTGS2、NCOA2、PTPN1、GABRA1、ESR2、AR、HSP90-1、PRSS1这12个基因靶点都可被认为是两个方剂共同抗抑郁的潜在靶点;逍遥散特有抗抑郁靶点有:GLUL、CREB1、GAD1、SLC6A1、GAD2、DAO、ADCY5、PPP1R1B、CRHR1、SLC1A2;柴胡疏肝散特有抗抑郁靶点是ALB。逍遥散和柴胡疏肝散作用抑郁症通路主要集中在癌症相关转录失调通路,钙信号通路,MAPK信号通路,调节干细胞多能性的信号通路;逍遥散特有抗抑郁通路主要集中在丙氨酸、天冬氨酸和谷氨酸代谢,GABA能突触,谷氨酸能突触等通路上。结论:柴胡疏肝散逍遥散和柴胡疏肝散能够通过相同靶点作用于抑郁症,也可以通过各自特有的靶点作用于抑郁症,从而有效治疗抑郁症,通过可视化和数据分析成分–靶点–疾病的相关性来阐释“同病异治”的科学内涵。
Abstract: Objective: Using network pharmacology, bioinformatics and computer tools to mine the data of related medicinal materials and diseases in the online database, and to explore the active components and mechanism of Xiaoyao Powder and Chaihu Shugan Powder in the treatment of depression with the same disease with different treatments. Method: Through the TCMID, TCMSP, BATMAN-TCM to get compositions, active ingredients and the corresponding drug targets information of Xiaoyao Powder and Chaihu Shugan Powder. Five disease databases, PharmGKB, Drug Bank, OMIM, TTD, and Gene Cards, were combined with NCBI-GEO biochip to screen disease targets for depression, the correlation between drug targets and disease targets was compared. This paper used String online analysis tools and Cytoscape 3.8.0 to visualize the active ingredients of drugs-disease targets, used topological analysis, module analysis, GO enrichment analysis and KEGG pathway analysis to explore the key genes and potential targets and pathways of depression in Xiaoyao Powder and Chaihu Shugan Powder in “the same disease with different treatments. Results: There were 75 active ingredients and 1960 gene targets of Xiaoyao Powder, 138 active ingredients and 1548 gene targets of Chaihu Shugan Powder. There were 265 targets of Xiaoyao Powder and Chaihu Shugan Powder, which were potential antidepressant targets. Through network analysis, topology and module analysis, MAPK14, NOS3, TOP2A, PTGS1, PTGS2, NCOA2, PTPN1, GABRA1, ESR2, AR, HSP90-1, and PRSS1 were found to be potential anti-depression targets of the two prescriptions. The specific antidepres-sant targets of Xiaoyao Powder were GLUL, CREB1, GAD1, SLC6A1, GAD2, DAO, ADCY5, PPP1R1B, CRHR1, SLC1A2; the specific antidepressant target of Chaihu Shugan Powder was ALB. Xiaoyao Powder and Chaihu Shugan Powder mainly focused on cancer-related transcription disorders, calcium signaling pathways, MAPK signaling pathways, and signaling pathways regulating pluripotency of stem cells. The specific antidepressant pathways of Xiaoyao Powder mainly focused on the metabolism of alanine, aspartate and glutamate, GABAergic and glutamatergicsynapses. Conclusion: Xiaoyao Powder and Chaihu Shugan Powder can effectively treat depression through the same target action on depression, or through their own specific target actions on depression. The scientific connotation of “treating the same disease differently” is explained through the correlation between visualization and data analysis components-targets-diseases.
文章引用:刘文雯, 木本荣, 钟馨, 黄志航, 刘文萱, 卢长青, 梁小清, 王冬梅, 国锦琳. 基于网络药理学和生物信息学探索逍遥散和柴胡疏肝散“同病异治”抑郁症的作用机制[J]. 中医学, 2021, 10(2): 200-215. https://doi.org/10.12677/TCM.2021.102028

参考文献

[1] 赵映霞, 许腾, 田俊生, 秦雪梅. 柴归颗粒对慢性不可预知温和刺激抑郁大鼠模型肠道菌群的作用[J]. 中草药, 2021, 52(3): 736-743.
[2] Li, J., Gong, H.F., Xu, H.M., et al. (2019) Abnormal Voxel-Wise Degree Centrality in Patients with Late-Life Depression: A Resting-State Functional Magnetic Resonance Imaging Study. Frontiers in Psychiatry, 10, 1024. [Google Scholar] [CrossRef] [PubMed]
[3] 初倩, 阎兆君, 黄巧艺. 巴戟天-苍术药对治疗青少年抑郁症的网络药理学研究[J]. 湖南中医药大学学报, 2020, 40(11): 1371-1378.
[4] 许鹏, 章程鹏, 周童. 中医药改善抑郁症发病机制的研究进展[J/OL]. 中国实验方剂学杂志, 1-7.
[5] 童伟隆, 吴景竹, 赵桂琴, 赵明勇. 柴胡疏肝散加减配合针灸对抑郁症疗效及相关指标的影响[J]. 中华中医药学刊, 2019, 37(1): 227-229.
[6] 毛梦迪, 尚立芝, 许二平. 半夏厚朴汤治疗抑郁症研究进展[J]. 中国实验方剂学杂志, 2020, 26(23): 37-43.
[7] 张煜萱, 崔博, 邹之璐, 任荔, 陈刚. 越鞠丸治疗气郁体质抑郁症患者及改善血清BDNF水平的临床对照研究[J]. 辽宁中医杂志, 2018, 45(5): 960-963.
[8] 高耀, 穆俊芳, 令狐婷, 周玉枝, 高晓霞, 田俊生, 秦雪梅. 逍遥散治疗抑郁症代谢网络的模块划分与生物学机制研究[J/OL]. 药学学报, 1-19. http://kns.cnki.net/kcms/detail/11.2163.R.20201117.0956.009.html
[9] 吴源陶, 邹译娴, 王理槐. 运用网络药理学探讨开心散治疗抑郁症的作用机制[J]. 湖南中医药大学学报, 2020, 40(4): 445-451.
[10] 李君玲, 夏恺, 王田, 薛晓兴, 阎晶露, 赵慧辉, 马雪玲, 李玉波, 王伟. 四逆散治疗抑郁症研究进展[J]. 环球中医药, 2017, 10(1): 110-113.
[11] 安继东, 郭旭彤, 陈分乔, 梅建强. 近5年中药治疗抑郁症及其作用机制研究进展[J]. 辽宁中医药大学学报, 2020, 22(8): 139-142.
[12] 丁涛, 张阳, 纵横. 从《伤寒论》太阳篇浅探张仲景“同病异治“与“异病同治”思想[J]. 中医药临床杂志, 2016, 18(10): 1415-1417.
[13] Luo, T.T., Lu, Y., Yan, S.K., et al. (2020) Network Pharmacology in Research of Chinese Medicine for Mula: Methodology, Application and Prospective. Chinese Journal of Integrative Medicine, 26, 72-80. [Google Scholar] [CrossRef] [PubMed]
[14] 李昊楠, 孔浩天, 史永平, 等. 基于网络药理学的双丹方治疗冠心病的作用机制研究[J]. 中草药, 2019, 50(20): 4985-4994.
[15] Li, H.N., Kong, H.T., Shi, Y.P., et al. (2019) Mechanism of Shuangdan Recipe on Treatment of Coronary Heart Disease Based on Network Pharmacology. Chinese Traditional and Herbal Drugs, 50, 4985-4994.
[16] 王俊, 郭丽, 吴建盛, 汤丽华, 胡栋. 大数据背景下的生物信息学研究现状[J]. 南京邮电大学学报(自然科学版), 2017, 37(4): 62-67.
[17] Wang, J.X., Zhong, J.C., Chen, G., Li, M., Wu, F.X. and Pan, Y. (2015) ClusterViz: A Cytoscape APP for Cluster Analysis of Biological Network. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 12, 815-822. [Google Scholar] [CrossRef
[18] 黄志航, 刘文雯, 钟馨, 木本荣, 王冬梅, 国锦琳. 探析越鞠丸和柴胡疏肝散“同病异治”抑郁症的作用机制[J]. 中医学, 2021, 10(1): 1-13.
[19] 高耀, 吴丹, 田俊生, 周玉枝, 高晓霞, 秦雪梅. 逍遥散和开心散“同病异治”抑郁症的网络药理学作用机制研究[J]. 中草药, 2018, 49(15): 3483-3492.
[20] Tsao, C.W., Lin, Y.S., Chen, C.C., et al. (2006) Cytokines and Serotonin Transporter in Patients with Major Depression. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 30, 899-905. [Google Scholar] [CrossRef] [PubMed]
[21] 林映仙, 杨文静, 曹宁宁, 赵利斌, 裴帅, 陈宇洲, 肖学凤. 逍遥散及其加减方的抗抑郁作用比较研究[J]. 中草药, 2021, 52(1): 137-144.
[22] Man, C.F., Li, C., Gong, D.D., et al. (2014) Meta-Analysis of Chinese Herbal Xiaoyao Formula as an Adjuvant Treatment in Relieving Depression in Chinese Patients. Complementary Therapies in Medicine, 22, 362-370. [Google Scholar] [CrossRef] [PubMed]
[23] 宫文霞, 周玉枝, 李肖, 等. 当归抗抑郁化学成分及药理作用研究进展[J]. 中草药, 2016, 47(21): 3905-3911.
[24] Andrews, P.W., Bharwani, A., Lee, K.R., et al. (2015) Is Serotonin an Upper or a Downer? The Evolution of the Serotonergic System and Its Role in Depression and the Antidepressant Response. Neuroscience & Biobehavioral Reviews, 51, 164. [Google Scholar] [CrossRef] [PubMed]
[25] 熊庭旺, 吴芹, 刘杰, 等. 基于神经递质途径抗焦虑中药及其复方研究进展[J]. 中国中药杂志, 2020, 45(1): 14.
[26] 丛梦雨, 梁晓霞, 陈丰连, 曹骋, 王术玲. 疏肝理脾类方调控色氨酸代谢的抗抑郁作用机制及共性药效物质[J/OL]. 中国中药杂志, 1-13.
[27] 张素勤, 刘宝山, 郎娜, 等. 滋肾疏肝宁心方联合针灸治疗更年期抑郁症临床疗效及对患者血清雌激素和子宫内膜厚度的影响[J]. 四川中医, 2018, 36(2): 157-160.
[28] 林木海. 吸收成分橙皮苷发挥类似枳壳厚朴抗抑郁及促胃肠动力作用及分子机制研究[D]: [硕士学位论文]. 厦门: 厦门大学, 2018.
[29] 袁铭, 刘向慧, 张静晓, 胡晓盈. 白芍成分治疗抑郁症的网络药理学研究[J]. 生物化工, 2020, 6(6): 20-24+32.
[30] Nie, H., Deng, Y.J., Zheng, C.Y., et al. (2020) A Network Pharmacology-Based Approach to Explore the Effects of Chaihu Shugan Powder on a Non-Alcoholic Fatty Liver Rat Model through Nuclear Receptors. Journal of Cellular and Molecular Medicine, 24, 5168-5184. [Google Scholar] [CrossRef] [PubMed]
[31] Liu, Y.-Y., Hu, D., Fan, Q.-Q., et al. (2019) Study on Mechanism of Chaihu Shugan Powder for Treating Depression Based on Network Pharmacology. Chinese Journal of Integrative Medicine, 26, 921-928.
[32] Taciak, P.P., Lysenko, N. and Mazurek, A.P. (2018) Drugs Which Influence Serotonin Transporter and Serotonergic Receptors: Pharmacological and Clinical Properties in the Treatment of Depression. Pharmacological Reports, 70, 37-46. [Google Scholar] [CrossRef] [PubMed]
[33] Uchida, S., Yamagata, H., Seki, T. and Watanabe, Y. (2018) Epigenetic Mechanisms of Major Depression: Targeting Neuronal Plasticity. Psychiatry and Clinical Neurosciences, 72, 212-227. [Google Scholar] [CrossRef] [PubMed]
[34] Dean, J. and Keshavan, M. (2017) The Neurobiology of Depression: An Integrated View. Asian Journal of Psychiatry, 27, 101-111. [Google Scholar] [CrossRef] [PubMed]
[35] 徐静, 史九波, 张凤岐, 程治军, 史玲玲, 李艳平, 申杰. 血清C-反应蛋白、白蛋白、前白蛋白、肿瘤坏死因子-α水平与抑郁症患者HAMD评分的关系[J]. 国际精神病学杂志, 2020, 47(4): 682-685.