Screening of Herbs with Potential Modulation of NLRP3 Inflammasomes for Acute Liver Failure: A Study Based on the Herb-Compound-Target Network and the ssGSEA Algorithm.

IF 2.9 4区 医学 Q3 CHEMISTRY, MEDICINAL
Haiya Ou, Susu Qiu, Xiaopeng Ye, Xiaotong Wang
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引用次数: 0

Abstract

Objective: NLRP3 inflammasomes are considered to be key factors in the pathogenesis of Acute Liver Failure (ALF). Some Traditional Chinese Medicines (TCMs) have shown protective and therapeutic effects against ALF by inhibiting NLRP3 inflammasomes. However, the inhibitory effects of most TCMs on ALF remain to be further elucidated. This study aimed to screen potential herbs that can treat ALF based on the inhibition of NLRP3 inflammasomes.

Methods: Initially, we constructed the target set for 502 herbs. Subsequently, based on the target set and the gene set related to the NLRP3 inflammasome, using the ssGSEA algorithm, we evaluated herb scores and NLRP3 scores in the ALF expression matrix and performed a preliminary herb screening based on score correlations. Through bioinformatics approaches, we identified the key targets for candidate herbs and determined core herbs based on the herb-compound-target network. Furthermore, molecular docking and molecular biology methods validated the screening results of the herbs.

Results: A total of 18 crucial targets associated with the inhibition of the NLRP3 inflammasome were identified, which included ALDH2, HMOX1, and VEGFA. Subsequently, based on these key targets, a set of 10 primary herbs was chosen, notably Qinghao, Duzhong, and Gouteng. Moreover, the results were verified through molecular docking and molecular dynamic simulation.

Conclusion: Ten key herbs have been identified as potential inhibitors of the NLRP3 inflammasome, offering insights into ALF therapy for drug development.

筛选可能调节急性肝衰竭 NLRP3 炎症体的草药:基于草药-化合物-靶标网络和ssGSEA算法的研究
目的NLRP3炎性体被认为是急性肝衰竭(ALF)发病机制中的关键因素。一些中药通过抑制 NLRP3 炎性体对 ALF 具有保护和治疗作用。然而,大多数中药对 ALF 的抑制作用仍有待进一步阐明。本研究旨在基于对NLRP3炎性体的抑制作用,筛选治疗ALF的潜在中草药:方法:首先,我们构建了 502 种中草药的目标集。方法:首先,我们构建了 502 种中草药的靶向集;然后,基于靶向集和 NLRP3 炎症体相关基因集,利用 ssGSEA 算法评估了 ALF 表达矩阵中的中草药评分和 NLRP3 评分,并根据评分相关性进行了初步的中草药筛选。通过生物信息学方法,我们确定了候选药材的关键靶点,并根据药材-化合物-靶点网络确定了核心药材。此外,分子对接和分子生物学方法验证了药材筛选结果:结果:共发现了18个与抑制NLRP3炎性体相关的关键靶点,其中包括ALDH2、HMOX1和VEGFA。随后,根据这些关键靶点,选择了一组 10 味主药材,特别是秦艽、杜仲和钩藤。此外,还通过分子对接和分子动力学模拟对研究结果进行了验证:结论:十种主要中草药被确定为 NLRP3 炎症小体的潜在抑制剂,为 ALF 治疗的药物开发提供了启示。
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来源期刊
CiteScore
6.40
自引率
2.90%
发文量
186
审稿时长
3-8 weeks
期刊介绍: Current Topics in Medicinal Chemistry is a forum for the review of areas of keen and topical interest to medicinal chemists and others in the allied disciplines. Each issue is solely devoted to a specific topic, containing six to nine reviews, which provide the reader a comprehensive survey of that area. A Guest Editor who is an expert in the topic under review, will assemble each issue. The scope of Current Topics in Medicinal Chemistry will cover all areas of medicinal chemistry, including current developments in rational drug design, synthetic chemistry, bioorganic chemistry, high-throughput screening, combinatorial chemistry, compound diversity measurements, drug absorption, drug distribution, metabolism, new and emerging drug targets, natural products, pharmacogenomics, and structure-activity relationships. Medicinal chemistry is a rapidly maturing discipline. The study of how structure and function are related is absolutely essential to understanding the molecular basis of life. Current Topics in Medicinal Chemistry aims to contribute to the growth of scientific knowledge and insight, and facilitate the discovery and development of new therapeutic agents to treat debilitating human disorders. The journal is essential for every medicinal chemist who wishes to be kept informed and up-to-date with the latest and most important advances.
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