Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden.
Environment Health and Safety Division, Environment Directorate, Organisation for Economic Cooperation and Development, Paris, France.
Front Public Health. 2021 May 19;9:638605. doi: 10.3389/fpubh.2021.638605. eCollection 2021.
Adverse Outcome Pathways (AOP) provide structured frameworks for the systematic organization of research data and knowledge. The AOP framework follows a set of key principles that allow for broad application across diverse disciplines related to human health, including toxicology, pharmacology, virology and medical research. The COVID-19 pandemic engages a great number of scientists world-wide and data is increasing with exponential speed. Diligent data management strategies are employed but approaches for systematically organizing the data-derived information and knowledge are lacking. We believe AOPs can play an important role in improving interpretation and efficient application of scientific understanding of COVID-19. Here, we outline a newly initiated effort, the CIAO project (https://www.ciao-covid.net/), to streamline collaboration between scientists across the world toward development of AOPs for COVID-19, and describe the overarching aims of the effort, as well as the expected outcomes and research support that they will provide.
不良结局途径（AOP）为系统组织研究数据和知识提供了结构化框架。AOP 框架遵循一系列关键原则，允许在与人类健康相关的多个学科中广泛应用，包括毒理学、药理学、病毒学和医学研究。COVID-19 大流行使全球许多科学家参与其中，数据呈指数级速度增长。人们采用了精心的数据管理策略，但缺乏系统组织数据衍生信息和知识的方法。我们相信，AOP 可以在提高对 COVID-19 的科学理解的解释和有效应用方面发挥重要作用。在这里，我们概述了一个新启动的项目，即 CIAO 项目（https://www.ciao-covid.net/），旨在促进全球科学家之间的合作，制定针对 COVID-19 的 AOP，并描述了该项目的总体目标，以及预期的结果和研究支持。
