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探索溃疡性结肠炎和银屑病之间的共同机制,并通过生物信息学和分子对接预测治疗性天然化合物。

Exploring shared mechanisms between ulcerative colitis and psoriasis and predicting therapeutic natural compounds through bioinformatics and molecular docking.

作者信息

Yang Yixuan, Gong Zhuozhi, Yang Jiao, Cai Ying, Hong Shengwei, Mao Wenjun, Guo Zijian, Qiu Mengting, Fan Zhu, Cui Bingnan

机构信息

Department of Dermatology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China.

Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100102, China.

出版信息

Heliyon. 2024 Sep 7;10(18):e37624. doi: 10.1016/j.heliyon.2024.e37624. eCollection 2024 Sep 30.

Abstract

INTRODUCTION

Previous studies have suggested a potential correlation between psoriasis (PS) and ulcerative colitis (UC). However, studies exploring the shared mechanisms of both diseases remain limited. Current treatments primarily involve using immunosuppressive drugs, which can lead to potential side effects and drug resistance. Traditional Chinese medicine has demonstrated favorable efficacy in treating UC and PS with fewer side effects. This study aims to elucidate the shared biological mechanisms underlying UC and PS and to predict natural compounds effective for treating both disorders.

METHOD

We collected and validated differentially expressed genes associated with UC and PS from the Gene Expression Omnibus database. A protein-protein interaction network was constructed using the STRING database, aiding in identifying core targets. The Gene Ontology and Kyoto Encyclopedia of Genes and Genomes databases were utilized to analyze the functions and genomic enrichment of the identified core targets. The CIBERSORT method was employed to assess the correlation of core targets with immune cells. Compounds with potential therapeutic values were selected from the Coremine and TCMSP databases, and their therapeutic efficacy was predicted via molecular docking.

RESULTS

In UC and PS, 20 common core targets were identified, with matrix metalloproteinase 9 (MMP9), matrix metalloproteinase 1 (MMP1), cluster of differentiation 274 (CD274), C-X-C motif chemokine ligand 10 (CXCL10), and topoisomerase II alpha (TOP2A) emerging as the most relevant targets shared between both conditions. Elevated levels of macrophages and dendritic cells were observed in UC and PS, with CXCL10 exhibiting the closest association with macrophages. UC and PS shared common signaling pathways, including IL-17, TNF, and chemokine signaling pathways, among others. Molecular docking revealed that quercetin, baicalen, irisolidone, rutaecarpine, epigallocatechin-3-gallate, and others held potential as natural compounds for treating both disorders.

CONCLUSION

MMP9, MMP1, and CXCL10, central mediators in the inflammatory pathways of UC and PS, establish a shared mechanism by triggering cytokine and chemokine activation, leading to tissue damage and positioning them as promising therapeutic targets for both conditions. Compounds such as quercetin, luteolin, irisolidone, rutaecarpine, and so on may be key drugs for treating both conditions. These findings suggest the potential advancement of therapeutic strategies and the enhancement of patient care by exploring shared mechanisms and predicting promising natural compounds for treating UC and PS.

摘要

引言

先前的研究表明银屑病(PS)与溃疡性结肠炎(UC)之间可能存在关联。然而,探索这两种疾病共同机制的研究仍然有限。目前的治疗主要涉及使用免疫抑制药物,这可能会导致潜在的副作用和耐药性。中药在治疗UC和PS方面已显示出良好的疗效,且副作用较少。本研究旨在阐明UC和PS潜在的共同生物学机制,并预测对治疗这两种疾病有效的天然化合物。

方法

我们从基因表达综合数据库中收集并验证了与UC和PS相关的差异表达基因。使用STRING数据库构建蛋白质-蛋白质相互作用网络,以帮助识别核心靶点。利用基因本体论和京都基因与基因组百科全书数据库分析所识别核心靶点的功能和基因组富集情况。采用CIBERSORT方法评估核心靶点与免疫细胞的相关性。从Coremine和TCMSP数据库中筛选出具有潜在治疗价值的化合物,并通过分子对接预测其治疗效果。

结果

在UC和PS中,共识别出20个共同的核心靶点,其中基质金属蛋白酶9(MMP9)、基质金属蛋白酶1(MMP1)、分化簇274(CD274)、C-X-C基序趋化因子配体10(CXCL10)和拓扑异构酶IIα(TOP2A)是两种疾病中最相关的共同靶点。在UC和PS中观察到巨噬细胞和树突状细胞水平升高,其中CXCL10与巨噬细胞的关联最为密切。UC和PS共享包括IL-17、TNF和趋化因子信号通路等共同的信号通路。分子对接显示,槲皮素、黄芩苷、鸢尾酮、吴茱萸碱、表没食子儿茶素-3-没食子酸酯等作为治疗这两种疾病的天然化合物具有潜力。

结论

MMP9、MMP1和CXCL10作为UC和PS炎症通路的核心介质,通过触发细胞因子和趋化因子激活建立了共同机制,导致组织损伤,并使其成为这两种疾病有前景的治疗靶点。槲皮素、木犀草素、鸢尾酮、吴茱萸碱等化合物可能是治疗这两种疾病的关键药物。这些发现表明,通过探索共同机制并预测治疗UC和PS的有前景的天然化合物,可能推动治疗策略的进步并改善患者护理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c9e/11416260/d8308664d981/ga1.jpg

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