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对AOP-Wiki数据库的全面映射:确定生物和疾病差距

Thomas Jaylet¹, Thibaut Coustillet¹, Nicola M Smith²

¹Université Paris Cité, Inserm UMR-S 1124 T3S, Paris, France.

Frontiers in toxicology

|March 25, 2024

概括

这项研究在不良结果途径 (AOP) 数据库中绘制了生物学知识,确定了毒理学和风险评估方面的研究缺口. 结果突出了关键的疾病领域,并为人类健康保护的未来AOP发展提供了信息.

科学领域:

毒理学和风险评估
生物信息学是一种生物信息学.
分子生物学分子生物学

背景情况:

不良结果途径 (AOPs) 对于人类健康风险评估至关重要.
经合组织支持的AOP-Wiki数据库对不断发展的AOP进行了目录.
了解AOPs中的生物知识和疾病表征对于研究优先级是必不可少的.

研究的目的:

在AOP-Wiki中确定明确的生物区域和研究缺口.
绘制现有AOP所代表的生物知识和疾病的地图.
帮助完善风险评估策略和确定未来的研究需求.

主要方法:

从AOP-Wiki数据库中提取的知识.
利用生物信息学工具进行基因/蛋白质和疾病的自动映射.
使用基因本体学和DisGeNET进行过度表示分析,用于AOP分类和网络开发.

主要成果:

与生殖尿路疾病,瘤和发育异常相关的AOP最常见.
评估了欧盟与巴黎合作伙伴联盟 (PARC) 项目的优先案例,突出了代表性不足和代表性过高的不利结果.
为未来的AOP开发确定和优先考虑研究缺口.

结论:

这项研究增强了对与AOP分子事件相关的不良影响的理解.
调查结果有助于完善化学压力因素的风险评估和缓解策略.
公平的数据原则对于推进AOP开发和应用至关重要.

关键词:

在AOP网络网络中,AOP网络是AOP网络.在 PARC PARC 里面.负面结果的途径.疾病疾病的疾病疾病的疾病.免疫毒性免疫毒性神经毒性的作用.非毒性致癌的致癌发生.

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