Phytochemicals From Hansenia weberbaueriana for Psoriasis and Inflammatory Bowel Disease Comorbidity: Based on Network Pharmacology and In Vitro Analysis.

IF 2.5 3区 化学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Yuhong Tian, Xiujin Xu, Yujie Chen, Nabeel Khalid Bhutta, Xiaoming Chen, Bingnan Han
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Abstract

Comorbidities, associated with higher rates of disability and mortality, have emerged as a global focus and a significant challenge. Psoriasis (PSO) and inflammatory bowel disease (IBD) are autoimmune disorders with frequent comorbidity and shared inflammatory pathways, yet targeted therapies remain limited. Utilizing an integrated approach combining network pharmacology, bioinformatics, machine learning, molecular docking, and in vitro experiments, we investigated Hansenia weberbaueriana (HW) for its potential to treat the comorbidity of PSO and IBD. Bioinformatics analysis identified 38 intersecting genes between PSO-IBD comorbidity and HW, predominantly enriched in the advanced glycation end-product (AGE)-receptor for AGE (RAGE) signaling pathway. Combining machine learning, weighted gene co-expression network analysis, and molecular docking prioritized PTGS2 (Cyclooxygenase 2 [COX2]) as the top target, with Cnidilin (HW8), a bioactive coumarin derivative from HW, exhibiting high-affinity binding (binding energy: -6.418 kcal/mol and molecular mechanics-generalized born surface area: -35.43 kcal/mol). Furthermore, 100-ns molecular dynamics (MD) simulations confirmed stable Cnidilin-PTGS2 interactions (root mean square deviation ∼2.3 Å). In vitro analysis demonstrated that Cnidilin (10 µM) significantly suppressed COX2, tumor necrosis factor-alpha, and nitric oxide in RAW 264.7 cells, supporting its multi-target mechanism. This study provided the first evidence supporting the therapeutic role of HW in PSO-IBD comorbidity via COX2 suppression and established a machine learning-driven framework for identifying natural compounds with dual therapeutic potential.

银屑病和炎症性肠病共病的植物化学成分:基于网络药理学和体外分析。
与较高致残率和死亡率相关的合并症已成为全球关注的焦点和重大挑战。牛皮癣(PSO)和炎症性肠病(IBD)是一种自身免疫性疾病,具有常见的合并症和共同的炎症途径,但靶向治疗仍然有限。利用网络药理学、生物信息学、机器学习、分子对接和体外实验相结合的综合方法,我们研究了汉氏菌(Hansenia weberbaueriana, HW)治疗PSO和IBD合并症的潜力。生物信息学分析确定了PSO-IBD合并症和HW之间的38个交叉基因,主要富集于AGE (RAGE)信号通路的晚期糖基化终产物(AGE)受体。结合机器学习、加权基因共表达网络分析、分子对接等方法,将PTGS2 (cycloxygenase 2 [COX2])与HW衍生的生物活性香豆素Cnidilin (HW8)作为首选靶点,结合强度高(结合能:-6.418 kcal/mol,分子力学-一般出生表面积:-35.43 kcal/mol)。此外,100-ns分子动力学(MD)模拟证实了稳定的Cnidilin-PTGS2相互作用(均方根偏差~ 2.3 Å)。体外分析表明,Cnidilin(10µM)可显著抑制RAW 264.7细胞中的COX2、肿瘤坏死因子- α和一氧化氮,支持其多靶点机制。该研究首次提供了支持HW通过抑制COX2在PSO-IBD合并症中的治疗作用的证据,并建立了一个机器学习驱动的框架,用于识别具有双重治疗潜力的天然化合物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Chemistry & Biodiversity
Chemistry & Biodiversity 环境科学-化学综合
CiteScore
3.40
自引率
10.30%
发文量
475
审稿时长
2.6 months
期刊介绍: Chemistry & Biodiversity serves as a high-quality publishing forum covering a wide range of biorelevant topics for a truly international audience. This journal publishes both field-specific and interdisciplinary contributions on all aspects of biologically relevant chemistry research in the form of full-length original papers, short communications, invited reviews, and commentaries. It covers all research fields straddling the border between the chemical and biological sciences, with the ultimate goal of broadening our understanding of how nature works at a molecular level. Since 2017, Chemistry & Biodiversity is published in an online-only format.
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