全面绘制 AOP-Wiki 数据库:确定生物和疾病方面的差距。

IF 3.6 Q2 TOXICOLOGY Frontiers in toxicology Pub Date : 2024-03-08 eCollection Date: 2024-01-01 DOI:10.3389/ftox.2024.1285768
Thomas Jaylet, Thibaut Coustillet, Nicola M Smith, Barbara Viviani, Birgitte Lindeman, Lucia Vergauwen, Oddvar Myhre, Nurettin Yarar, Johanna M Gostner, Pablo Monfort-Lanzas, Florence Jornod, Henrik Holbech, Xavier Coumoul, Dimosthenis A Sarigiannis, Philipp Antczak, Anna Bal-Price, Ellen Fritsche, Eliska Kuchovska, Antonios K Stratidakis, Robert Barouki, Min Ji Kim, Olivier Taboureau, Marcin W Wojewodzic, Dries Knapen, Karine Audouze
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引用次数: 0

摘要

导言:不良后果途径(AOP)概念有助于对人类健康风险进行快速危害评估。AOPs 在不断发展,其数量也在不断增加,并在经合组织支持的 AOP-Wiki 数据库中被引用。在此,我们介绍一项研究,旨在确定明确界定的生物领域以及 AOP-Wiki 中的空白,以满足未来的研究需求。这项研究并不打算对现有的 AOPs 文献进行系统和全面的总结,而是对已开发的 AOPs(具有经合组织认可的地位或正在验证中)所代表的生物知识和疾病进行总结和绘图。方法采用多步骤程序从 AOP-Wiki 数据库中提取知识并准备进行分析。使用生物信息学工具(即使用基因本体论和 DisGeNET 进行过度代表性分析)对现有的 AOPs 信息(即基因/蛋白质和疾病)进行自动映射,从而对 AOPs 进行分类并建立 AOP 网络(AOPN)。结果在 AOP-Wiki 上,与泌尿生殖系统疾病、肿瘤和发育异常有关的 AOP 调查最为频繁。对欧盟资助的 PARC 项目(化学品风险评估伙伴关系)的三个重点案例(即免疫毒性和非遗传毒性致癌、内分泌和新陈代谢紊乱以及发育和成人神经毒性)进行了评估。这些数据被用来强调代表性不足和代表性过高的不良结果,并确定进一步研究的差距和优先次序。讨论:这些结果有助于更全面地了解与 AOPs 分子事件相关的不利影响,并有助于完善压力源和缓解战略的风险评估。此外,AOPs 的 FAIR 性(即数据符合可查找性、可访问性、互操作性和可重用性(FAIR)原则)似乎是进一步发展的一个重要考虑因素。
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Comprehensive mapping of the AOP-Wiki database: identifying biological and disease gaps.

Introduction: The Adverse Outcome Pathway (AOP) concept facilitates rapid hazard assessment for human health risks. AOPs are constantly evolving, their number is growing, and they are referenced in the AOP-Wiki database, which is supported by the OECD. Here, we present a study that aims at identifying well-defined biological areas, as well as gaps within the AOP-Wiki for future research needs. It does not intend to provide a systematic and comprehensive summary of the available literature on AOPs but summarizes and maps biological knowledge and diseases represented by the already developed AOPs (with OECD endorsed status or under validation). Methods: Knowledge from the AOP-Wiki database were extracted and prepared for analysis using a multi-step procedure. An automatic mapping of the existing information on AOPs (i.e., genes/proteins and diseases) was performed using bioinformatics tools (i.e., overrepresentation analysis using Gene Ontology and DisGeNET), allowing both the classification of AOPs and the development of AOP networks (AOPN). Results: AOPs related to diseases of the genitourinary system, neoplasms and developmental anomalies are the most frequently investigated on the AOP-Wiki. An evaluation of the three priority cases (i.e., immunotoxicity and non-genotoxic carcinogenesis, endocrine and metabolic disruption, and developmental and adult neurotoxicity) of the EU-funded PARC project (Partnership for the Risk Assessment of Chemicals) are presented. These were used to highlight under- and over-represented adverse outcomes and to identify and prioritize gaps for further research. Discussion: These results contribute to a more comprehensive understanding of the adverse effects associated with the molecular events in AOPs, and aid in refining risk assessment for stressors and mitigation strategies. Moreover, the FAIRness (i.e., data which meets principles of findability, accessibility, interoperability, and reusability (FAIR)) of the AOPs appears to be an important consideration for further development.

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