综合转录组学和结构分析发现PTGS2是缺血性卒中与神经炎症相关的关键靶点。

IF 3.9 2区 化学 Q2 CHEMISTRY, APPLIED
Saleh I Alaqel, Abida Khan, Mashael N Alanazi, Naira Nayeem, Hayet Ben Khaled, Mohd Imran
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引用次数: 0

摘要

缺血性中风是世界范围内死亡和长期残疾的主要原因,主要由神经炎症损伤引起。前列腺素内过氧化物合成酶2 (PTGS2)编码环氧化酶-2 (COX-2)酶,在介导炎症途径中发挥核心作用,使其成为缺血性卒中的关键治疗靶点。这项研究提出了一项全面的分析,旨在确定潜在的PTGS2抑制剂,以减轻缺血性卒中的神经炎症损伤。GSE16561数据集(包括对照组和卒中患者样本)的基因表达谱显示了329个差异表达基因(DEGs),包括PTGS2和ZFHX3,它们是神经炎症和血管重塑途径的核心。模块化共表达分析确定了与氧化应激、细胞凋亡和血脑屏障功能障碍相关的不同基因簇,为中风病理的分子机制提供了见解。为了补充基因水平分析,使用PubChem和子结构描述符对化合物数据集进行了分子聚类和特征相关性研究。分层聚类发现了4个分子簇,簇2化合物(CHEMBL44468和CHEMBL462709)具有含硫和桥环体系的独特特征。这些描述符通过t-SNE可视化和热图分析被验证为分子分化的贡献者。分子对接、动力学和MM-GBSA研究进一步强调了这些化合物与PTGS2活性位点的强结合亲和力,支持它们调节与中风相关的炎症通路的潜力。这种结合基因表达分析、分子聚类和对接研究的综合方法强调了簇2化合物作为有希望的候选者的潜力。本研究通过连接转录组学和结构研究,为推进缺血性中风治疗和靶向抗炎药物的开发提供了一个框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrative transcriptomic and structural analysis identifies PTGS2 as a key target in ischemic stroke associated with neuroinflammation.

Ischemic stroke is a leading cause of mortality and long-term disability worldwide, primarily driven by neuroinflammatory damage. Prostaglandin-endoperoxide synthase 2 (PTGS2), which encodes the cyclooxygenase-2 (COX-2) enzyme, plays a central role in mediating inflammatory pathways, making it a key therapeutic target in ischemic stroke. This study presents a comprehensive analysis aimed at identifying potential PTGS2 inhibitors for mitigating neuroinflammatory damage in ischemic stroke. Gene expression profiling of the GSE16561 dataset, comprising control and stroke patient samples, revealed 329 differentially expressed genes (DEGs), including PTGS2 and ZFHX3, central to neuroinflammatory and vascular remodeling pathways. Modular co-expression analysis identified distinct gene clusters associated with oxidative stress, apoptosis, and blood-brain barrier dysfunction, providing insights into molecular mechanisms underlying stroke pathology. To complement gene-level analysis, molecular clustering and feature correlation studies were performed on a dataset of compounds using PubChem and substructure descriptors. Hierarchical clustering revealed four molecular clusters, with Cluster 2 compounds (CHEMBL44468 and CHEMBL462709) showing unique features like sulfur-containing and bridged-ring systems. These descriptors were validated as contributors to molecular differentiation through t-SNE visualization and heatmap analysis. Molecular docking, dynamics, and MM-GBSA studies further highlighted the strong binding affinities of these compounds to the PTGS2 active site, supporting their potential to modulate inflammatory pathways implicated in stroke. This integrative approach, combining gene expression analysis, molecular clustering, and docking studies, underscores the potential of Cluster 2 compounds as promising candidates. This study provides a framework for advancing ischemic stroke therapeutics and targeted anti-inflammatory drug development by bridging transcriptomic insights with structural studies.

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来源期刊
Molecular Diversity
Molecular Diversity 化学-化学综合
CiteScore
7.30
自引率
7.90%
发文量
219
审稿时长
2.7 months
期刊介绍: Molecular Diversity is a new publication forum for the rapid publication of refereed papers dedicated to describing the development, application and theory of molecular diversity and combinatorial chemistry in basic and applied research and drug discovery. The journal publishes both short and full papers, perspectives, news and reviews dealing with all aspects of the generation of molecular diversity, application of diversity for screening against alternative targets of all types (biological, biophysical, technological), analysis of results obtained and their application in various scientific disciplines/approaches including: combinatorial chemistry and parallel synthesis; small molecule libraries; microwave synthesis; flow synthesis; fluorous synthesis; diversity oriented synthesis (DOS); nanoreactors; click chemistry; multiplex technologies; fragment- and ligand-based design; structure/function/SAR; computational chemistry and molecular design; chemoinformatics; screening techniques and screening interfaces; analytical and purification methods; robotics, automation and miniaturization; targeted libraries; display libraries; peptides and peptoids; proteins; oligonucleotides; carbohydrates; natural diversity; new methods of library formulation and deconvolution; directed evolution, origin of life and recombination; search techniques, landscapes, random chemistry and more;
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