数据挖掘与网络药理探讨花类药治痤疮的规律机制

中华养生保健 ›› 2024, Vol. 42 ›› Issue (11): 70-74.

数据挖掘与网络药理探讨花类药治痤疮的规律机制

赵悦, 廖承成^*, 赵文斌, 郭媛媛, 郭晴, 谢兵, 成洁

云南省中医医院皮肤科,云南昆明,650021

出版日期:2024-06-01 发布日期:2024-05-22
通讯作者: ^*廖承成,E-mail：liaochengcheng@163.com。
作者简介:赵悦（1998—）,女,白族,籍贯：云南省大理市,硕士研究生在读,研究方向：皮肤病的防治研究。

Discussion on the Regularity and Mechanism of Flower Drugs in Treating Acne by Data Mining and Network Pharmacology

ZHAO Yue, LIAO Cheng-cheng^*, ZHAO Wen-bin, GUO Yuan-yuan, GUO Qing, XIE Bing, CHENG Jie

Dermatology Department, Yunnan Provincial Traditional Chinese Medicine Hospital, Kunming Yunnan 650021, China

Online:2024-06-01 Published:2024-05-22

摘要/Abstract

摘要： 目的探讨滇南刘复兴学派用花类药治痤疮的规律及高频花类药的机制。方法收集门诊医案,进行性味归经、类别功效和关联规则分析;筛选高频花类药及痤疮靶点,取交集基因;构建中药-成分-靶点网络及PPI网络,进行GO及KEGG分析,可视化分子对接结果。结果以清热药为主,核心药物11味;高频花类药为金银花、野菊花、红花、玫瑰花,有6个核心成分和7个核心靶点,涉及癌症、脂质、内分泌等通路,分子对接结合较好。结论滇南刘复兴学派注重中上二焦、气血同调,以清热为大法、五味消毒饮为底方,力求攻补兼施、寒热平调、阴阳互滋;花类药可能通过MAPK通路、免疫-炎症反应、脂质、内分泌等作用于痤疮靶点,其中豆甾醇、β-谷甾醇可能是主要成分。

关键词: 花类药, 痤疮, 数据挖掘, 网络药理学, 分子对接

Abstract: Objective To explore the rule of treating acne with flowers and the mechanism of high-frequency flowers by Liu Fuxing School in southern Yunnan. Methods Collect outpatient medical records and analyze the tropism of sex and taste, category efficacy and association rules; Screening high-frequency flowers and acne targets, and taking intersection genes; Traditional Chinese medicine-component-target network and PPI network were constructed, and GO and KEGG analysis were carried out to visualize the molecular docking results. Results Heat-clearing drugs were the main drugs, with 11 core drugs. High-frequency flower drugs are honeysuckle, chrysanthemum indicum, safflower and rose, which have 6 core components and 7 core targets, involving cancer, lipid, endocrine and other pathways, and have good molecular docking and binding ability. Conclusion Liu Fuxing School in southern Yunnan pays attention to the middle and upper energizer, harmonizing qi and blood, taking clearing away heat as the main method and five-flavored disinfectant as the basic prescription, and strives for both attack and tonic, balancing cold and heat, and nourishing yin and yang. Flower drugs may act on acne targets through MAPK pathway, immune-inflammatory reaction, lipid and endocrine, among which stigmasterol and β-sitosterol may be the main components.

Key words: flower medicine, acne, data mining, network pharmacology, molecular docking

中图分类号:

R275.9

赵悦, 廖承成, 赵文斌, 郭媛媛, 郭晴, 谢兵, 成洁. 数据挖掘与网络药理探讨花类药治痤疮的规律机制[J]. 中华养生保健, 2024, 42(11): 70-74.

ZHAO Yue, LIAO Cheng-cheng, ZHAO Wen-bin, GUO Yuan-yuan, GUO Qing, XIE Bing, CHENG Jie. Discussion on the Regularity and Mechanism of Flower Drugs in Treating Acne by Data Mining and Network Pharmacology[J]. ZHONGHUA YANGSHENG BAOJIAN, 2024, 42(11): 70-74.

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