杨素清教授治疗银屑病用药经验分析

Analysis of Professor Yang Suqing’s Medication Experience in Treating Psoriasis

摘要: 目的：基于数据挖掘与网络药理学方法，探究杨素清教授治疗银屑病核心处方的潜在分子机制。方法：收集杨素清教授门诊治疗血瘀型和血热型银屑病完整病案500例，运用中医传承计算平台进行用药频次、关联规则及聚类分析，提炼核心处方。通过TCMSP、Herb2.0数据库筛选核心处方活性成分，利用SWISSTargetsPrediction预测药物靶点，以GeneCards、OMIM获取银屑病靶点，取交集后构建PPI网络，进行GO/KEGG富集分析及分子对接验证。结果：共获得高频药物58味，核心处方5个，以“当归、甘草、荆芥、蜈蚣、蝉蜕、防风”为代表。筛选出170个活性成分，获得441个药物–疾病交集靶点，核心靶点10个。GO功能主要涉及蛋白磷酸化、炎症反应、细胞增殖与凋亡调控；KEGG通路显著富集于PI3K-Akt、MAPK、Th17分化、IL-17、TNF等信号通路。分子对接显示关键成分与AKT1、SRC等靶点结合能均<−6.0 kcal/mol。结论：杨素清教授治疗银屑病核心处方以“祛风解表、养血活血”为配伍特点，可能通过PI3K-Akt、Th17等多条信号通路发挥“多成分–多靶点–多通路”的协同治疗作用。

Abstract: Objective: To explore the potential molecular mechanisms of the core prescription used by Professor Yang Suqing for treating psoriasis based on data mining and network pharmacology methods. Methods: A total of 500 complete medical records of patients with blood-stasis type and blood-heat type psoriasis treated by Professor Yang Suqing in outpatient clinics were collected. The Traditional Chinese Medicine Inheritance Computing Platform was used to conduct frequency analysis, association rule analysis, and cluster analysis of the medicinal herbs, from which core prescriptions were extracted. Active ingredients of the core prescriptions were screened through the TCMSP and Herb2.0 databases. Drug targets were predicted using the SwissTargetPrediction database, and psoriasis-related targets were retrieved from GeneCards and OMIM databases. Intersection targets were obtained to construct a protein-protein interaction (PPI) network, followed by GO/KEGG enrichment analysis and molecular docking validation. Results: A total of 58 high-frequency medicinal herbs and 5 core prescriptions were identified, with Angelica sinensis (Danggui), Glycyrrhiza uralensis (Gancao), Schizonepeta tenuifolia (Jingjie), Scolopendra subspinipes (Wugong), Cryptotympana pustulata (Chantui), and Saposhnikovia divaricata (Fangfeng) as representative components. A total of 170 active ingredients were screened, yielding 441 drug-disease intersection targets and 10 core targets. GO functional enrichment analysis was mainly involved in protein phosphorylation, inflammatory response, and regulation of cell proliferation and apoptosis. KEGG pathway analysis showed significant enrichment in the PI3K-Akt, MAPK, Th17 cell differentiation, IL-17, and TNF signaling pathways. Molecular docking demonstrated that the binding energies between key components and targets such as AKT1 and SRC were all < −6.0 kcal/mol. Conclusion: The core prescription used by Professor Yang Suqing for treating psoriasis is characterized by the compatibility principle of “dispelling wind and releasing the exterior, nourishing blood and activating blood circulation”. It may exert synergistic therapeutic effects through the “multi-component - multi-target - multi-pathway” mechanism by modulating multiple signaling pathways including PI3K-Akt and Th17 pathways.