综合网络和计算毒理学揭示了pfoa诱导的生精障碍的分子机制

IF 8.4 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Yujia Luo , Erfei Xue , Yixiang Zhao , Huimin Lu , Di Xiang , Yuanyuan Zhou , Junfeng Zhan , Zhean Li , Fei Sun
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引用次数: 0

摘要

全氟辛酸(PFOA)是一种广泛使用的工业化学品,具有重大的环境和生物毒性,特别是影响生殖健康。本研究旨在结合网络毒理学、机器学习和分子动力学模拟(MDS)来揭示pfoa诱导生精毒性的分子机制。admetSAR的毒性分析显示,PFOA具有明显的生殖毒性,并且与核受体(包括雌激素、雄激素和PPAR γ)具有很强的结合亲和力。通过整合来自毒理学数据库的PFOA靶点与非阻塞性无精子症相关的差异表达基因,我们从4311个潜在的PFOA靶点中确定了256个差异表达的生精毒性靶点。基因本体论(GO)和KEGG途径富集分析强调了生物过程,如精子发生和细胞周期调节,以及与细胞分裂和细胞间通讯相关的途径。蛋白质-蛋白质相互作用网络和机器学习算法(LASSO, SVM-RFE, RF)确定了五个核心基因- rad51, KIF15, PTTG1, BIRC5和cdc25c -作为潜在的诊断生物标志物。分子对接显示PFOA与这些蛋白具有较强的结合亲和力,其中RAD51的结合稳定性最高(−8.467 kcal/mol)。此外,MDS证实了稳定的相互作用,RMSD、RMSF和Rg值较低,表明结构稳定。体内研究表明,PFOA暴露(1和5 mg/kg)以剂量依赖的方式引起小鼠睾丸损伤,核心靶蛋白显著下调;体外实验表明,GC1细胞活力的浓度依赖性降低和基因表达的实质性改变。本研究强调了PFOA通过这些机制破坏精子发生的关键作用,强调了可能作为治疗靶点的核心生物标志物。我们的研究结果有助于了解PFOA和类似环境污染物的生殖毒性,为制定保护男性生育能力的策略提供基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrative network and computational toxicology reveal the molecular mechanisms in PFOA-induced spermatogenic disorder
Perfluorooctanoic acid (PFOA), a widely used industrial chemical, poses significant environmental and biological toxicity, particularly affecting reproductive health. This study aimed to integrate network toxicology, machine learning, and molecular dynamics simulations (MDS) to uncover the molecular mechanisms of PFOA-induced spermatogenic toxicity. Toxicity profiling using admetSAR revealed that PFOA exhibited pronounced reproductive toxicity and a strong binding affinity to nuclear receptors, including estrogen, androgen, and PPAR gamma. By integrating PFOA targets derived from toxicology databases with differentially expressed genes associated with non-obstructive azoospermia, we pinpointed 256 differentially expressed spermatogenic toxicity targets from an initial pool of 4311 potential PFOA targets. Gene ontology (GO) and KEGG pathway enrichment analyses highlighted biological processes, such as spermatogenesis and cell cycle regulation, along with pathways related to cell division and intercellular communication. Protein-protein interaction networks and machine learning algorithms (LASSO, SVM-RFE, RF) pinpointed five core genes—RAD51, KIF15, PTTG1, BIRC5, and CDC25C—that serve as potential diagnostic biomarkers. Molecular docking revealed strong binding affinities between PFOA and these proteins, with RAD51 showing the highest binding stability (−8.467 kcal/mol). Furthermore, MDS confirmed stable interactions, with low RMSD, RMSF, and Rg values, indicating structural stability. In vivo studies showed that PFOA exposure (1 and 5 mg/kg) caused testicular damage in mice in a dose-dependent manner, with significant downregulation of core target proteins; in vitro experiments demonstrated a concentration-dependent reduction in GC1 cell viability and substantial alterations in its gene expression. This study highlights the critical roles of these mechanisms through which PFOA disrupts spermatogenesis, emphasizing core biomarkers that may serve as therapeutic targets. Our findings contribute insights into the reproductive toxicity of PFOA and similar environmental pollutants, offering a basis for developing strategies to protect male fertility.
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来源期刊
Journal of Environmental Management
Journal of Environmental Management 环境科学-环境科学
CiteScore
13.70
自引率
5.70%
发文量
2477
审稿时长
84 days
期刊介绍: The Journal of Environmental Management is a journal for the publication of peer reviewed, original research for all aspects of management and the managed use of the environment, both natural and man-made.Critical review articles are also welcome; submission of these is strongly encouraged.
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