The Benefit of the Optimized Formula of Yinxieling in Psoriasis Vulgaris via Regulation on Autophagy Based on microRNA Expression Profile and Network Pharmacology Analysis

作者：Yue Lu, Simin Pan, Wenzhen Li, Yao Qi, Li Li, Yuhong Yan, Jianan Wei, Danni Yao, Jingjing Wu, Hao Deng, Shuyan Ye, Haiming Chen, Qubo Chen, Hengjun Gao, Ling Han, Chuanjian Lu · 发表于：Drug Design Development and Therapy · 年份：2024 · DOI：10.2147/dddt.s459622 · 被引用次数：8 · 研究领域：Psoriasis: Treatment and Pathogenesis、Fibromyalgia and Chronic Fatigue Syndrome Research、Herbal Medicine Research Studies

Background: Psoriasis is a widespread chronic, immune-mediated skin disease with frequent recurrences, and is extremely harmful to the physical and mental health of patients, causing enormous suffering and exerting considerable economic burdens on the health care system as a whole. In more than a decade of clinical use, the optimized formula of Yinxieling (PSORI-CM01) has consistently demonstrated its effectiveness for treating psoriasis. However, its underlying mechanism remains largely unexplored. Methods: The network pharmacology analysis was conducted to predict the mechanism and protective effect of PSORI-CM01 in treating psoriasis. Subsequently, we collected blood samples from 21 patients with psoriasis as part of a randomized, double-blind, and double-dummy clinical trial for microRNA expression profiling. Finally, it was experimentally confirmed that PSORI-CM01 improved psoriasis by regulating miR-20a-3p and miR-3184-3p expression. Results: As a result of the network pharmacology analysis, PSORI-CM01 improved psoriasis through the regulation of autophagy, cellular apoptosis, cellular proliferation, and anti-inflammatory processes. In the target-miRNA regulatory network, these key targets were mainly associated with the regulation of hsa-miR-20a-3p, hsa-miR-155-5p, has-miR-3184-3p, hsa-miR-328-3p and hsa-miR-124-3p. Based on the microRNA expression profiling results, the PSORI-CM01 treatment group exhibited five up-regulated genes and 16 down-regulated genes compared w...