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运用网络毒理学和分子对接技术分析中国地表水环境中常见合成内分泌干扰物(EDCs)诱发慢性肾病的潜在靶点和机制。

Analyzing the potential targets and mechanisms of chronic kidney disease induced by common synthetic Endocrine Disrupting Compounds (EDCs) in Chinese surface water environment using network toxicology and molecular docking techniques.

作者信息

Pei Jun, Peng Jinpu, Wu Moudong, Zhan Xiong, Wang Dan, Zhu Guohua, Wang Wei, An Nini, Pan Xingyu

机构信息

Department of Pediatric surgrey, Guizhou Provincial People's Hospital, Guiyang 550000, China.

Department of Pediatric surgrey, Guizhou Provincial People's Hospital, Guiyang 550000, China.

出版信息

Sci Total Environ. 2025 Jan 1;958:177980. doi: 10.1016/j.scitotenv.2024.177980. Epub 2024 Dec 9.

Abstract

Long-term exposure to NP and OP, as common synthetic endocrine-disrupting chemicals (EDCs) in surface water environments in China, is closely associated with the development of chronic kidney disease (CKD). However, their potential targets and toxicological mechanisms for inducing CKD remain unknown. This study utilizes network toxicology and molecular docking techniques to explore the potential toxic targets and molecular mechanisms of CKD induction by NP and OP. We identify 49 core targets of NP and OP action in CKD using the Comparative Toxicogenomics Database (CTD) and GeneCards databases. Using the STRING database and Cytoscape software, we identify five hub genes: MAPK3, TNF, BCL2, ESR1, and FOS. We construct a nomogram model based on the CKD dataset GSE66494, utilizing these five hub genes. Calibration and ROC curves demonstrate that the model has good diagnostic value for CKD, and the DCA curve indicates that the model has high clinical utility. Single-gene GSEA enrichment analysis identifies five hub genes that influence the development of CKD through multiple biological pathways, revealing that several immune-regulatory signaling pathways are activated. The CIBERSORT algorithm identifies eight types of immune cell infiltration levels that change significantly during CKD development, and correlation analyses suggest that the five hub genes are strongly associated with multiple immune cell infiltrations. The molecular docking results suggested that ESR1, MAPK3, and TNF had the lowest binding energies and high binding affinities with NP and OP. The results of molecular dynamics simulations similarly confirmed the stability of the interactions between ESR1, MAPK3 and TNF proteins with NP and OP. The results of this study provide a theoretical basis for understanding the potential toxicity targets and mechanisms of NP- and OP-induced CKD and promote the application of network toxicology and molecular docking techniques in the study of environmental pollutants.

摘要

作为中国地表水环境中常见的合成内分泌干扰物(EDC),长期接触壬基酚(NP)和辛基酚(OP)与慢性肾脏病(CKD)的发生密切相关。然而,它们诱导CKD的潜在靶点和毒理学机制仍不清楚。本研究利用网络毒理学和分子对接技术,探索NP和OP诱导CKD的潜在毒性靶点和分子机制。我们使用比较毒理基因组学数据库(CTD)和基因卡数据库,确定了NP和OP在CKD中的49个核心作用靶点。利用STRING数据库和Cytoscape软件,我们确定了五个枢纽基因:MAPK3、TNF、BCL2、ESR1和FOS。我们利用这五个枢纽基因,基于CKD数据集GSE66494构建了一个列线图模型。校准曲线和ROC曲线表明,该模型对CKD具有良好的诊断价值,DCA曲线表明该模型具有较高的临床实用性。单基因GSEA富集分析确定了五个通过多种生物学途径影响CKD发展的枢纽基因,揭示了几种免疫调节信号通路被激活。CIBERSORT算法确定了在CKD发展过程中显著变化的八种免疫细胞浸润水平,相关性分析表明这五个枢纽基因与多种免疫细胞浸润密切相关。分子对接结果表明,ESR1、MAPK3和TNF与NP和OP的结合能最低,结合亲和力高。分子动力学模拟结果同样证实了ESR1、MAPK3和TNF蛋白与NP和OP之间相互作用的稳定性。本研究结果为理解NP和OP诱导CKD的潜在毒性靶点和机制提供了理论依据,并促进了网络毒理学和分子对接技术在环境污染物研究中的应用。

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