通过氧化应激揭示阿特拉津诱导生殖毒性的不良后果途径网络

IF 3.1 Q2 TOXICOLOGY Computational Toxicology Pub Date : 2024-05-20 DOI:10.1016/j.comtox.2024.100317
Leonardo Vieira , Matheus Alves , Terezinha Souza , Davi Farias
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引用次数: 0

摘要

不良结果通路 AOP 是一种概念框架,用于组织有关应激物如何破坏特定生物目标和通路的科学知识。AOP 网络由两个或多个具有共同关键事件(KEs)的 AOPs 组成,其中包括分子启动事件(MIEs)和不良结果(AOs)等关键事件,这为连接毒理学途径提供了机会。因此,为了更好地理解由阿特拉津(ATZ)引发的AOP 492(https://aopwiki.org/aops/492)中涉及的一系列连续的关键事件,我们首先以该AOP为种子,从AOP-Wiki数据库中发表的单个AOP中生成了一个通过氧化应激引起的生殖毒性(RTOS)AOP网络。在这个网络中,"活性氧增加 "和 "细胞凋亡 "被认为是最常见/关联度最高的关键关联因子,也是一个重要的分歧点。此外,"DNA 损伤和突变增加 "也是网络中的关键关键因子,因为它具有高度关联性和中心性,并代表了一个分叉点。这表明这三个关键效应因子具有很高的预测价值,例如,可以作为开发/选择体外检测方法以评估生殖毒性的基础。硅学分析显示,ATZ通过氧化应激诱导人类不育的关键靶蛋白是Tp53、Bcl2、Esr1和Nos3,它们通过Mapk3、Mapk1和Cyp19a1等中间因子与ATZ间接相互作用。此外,基因富集分析表明,这些实体参与了与氧化应激、DNA 损伤和细胞凋亡直接相关的几个生物过程和途径,进一步加强了已开发的网络。
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Revealing an adverse outcome pathway network for reproductive toxicity induced by atrazine, via oxidative stress

Adverse outcome pathway AOPs are conceptual frameworks that organize scientific knowledge about how stressors disrupt specific biological targets, pathways. AOP network consists of two or more AOPs that share common key events (KEs), including crucial events like molecular initiating events (MIEs) and adverse outcomes (AOs), which offer the opportunity to link toxicological pathways. Thus, to better understand the sequential series of KEs involved in the AOP 492 (https://aopwiki.org/aops/492), which is triggered by atrazine (ATZ), we first generated a Reproductive Toxicity via Oxidative Stress (RTOS) AOP network from individual AOPs published in the AOP-Wiki database, using this AOP as a seed. The KEs “Increased, Reactive oxygen species” and “Apoptosis” were considered the most common/highly connected KE within this network and an important point of divergence. Furthermore, “Increased, DNA damage and mutations” is a critical KE within the network, as it is highly connected and central, and represents a point of divergence. This suggests that these three KEs have a high predictive value and could, for example, serve as a basis for the development/selection of in vitro assays to assess reproductive toxicity. The in silico analyses revealed that the pivotal target proteins for ATZ-induced infertility via oxidative stress in humans are Tp53, Bcl2, Esr1, and Nos3, which interact indirectly with ATZ via intermediary factors such as Mapk3, Mapk1, and Cyp19a1. Further, the gene enrichment analyses indicate that these entities are involved in several biological processes and pathways directly associated with oxidative stress, DNA damage and apoptosis, further reinforcing the developed network.

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来源期刊
Computational Toxicology
Computational Toxicology Computer Science-Computer Science Applications
CiteScore
5.50
自引率
0.00%
发文量
53
审稿时长
56 days
期刊介绍: Computational Toxicology is an international journal publishing computational approaches that assist in the toxicological evaluation of new and existing chemical substances assisting in their safety assessment. -All effects relating to human health and environmental toxicity and fate -Prediction of toxicity, metabolism, fate and physico-chemical properties -The development of models from read-across, (Q)SARs, PBPK, QIVIVE, Multi-Scale Models -Big Data in toxicology: integration, management, analysis -Implementation of models through AOPs, IATA, TTC -Regulatory acceptance of models: evaluation, verification and validation -From metals, to small organic molecules to nanoparticles -Pharmaceuticals, pesticides, foods, cosmetics, fine chemicals -Bringing together the views of industry, regulators, academia, NGOs
期刊最新文献
Evaluation of QSAR models for tissue-specific predictive toxicology and risk assessment of military-relevant chemical exposures: A systematic review From model performance to decision support – The rise of computational toxicology in chemical safety assessments Development of chemical categories for per- and polyfluoroalkyl substances (PFAS) and the proof-of-concept approach to the identification of potential candidates for tiered toxicological testing and human health assessment The OECD (Q)SAR Assessment Framework: A tool for increasing regulatory uptake of computational approaches A developmental and reproductive toxicity adverse outcome pathway network to support safety assessments
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