将不良后果路径网络作为开发新方法的基础:以肝脏毒性为例

{"title":"将不良后果路径网络作为开发新方法的基础:以肝脏毒性为例","authors":"","doi":"10.1016/j.cotox.2024.100504","DOIUrl":null,"url":null,"abstract":"<div><div>The fields of toxicology and risk assessment are witnessing a paradigm shift moving away from animal testing towards the use of nonanimal and human-based new approach methodologies (NAMs). NAMs are fed by mechanistic information captured in adverse outcome pathway (AOP) networks, which are being developed and optimized at high pace. The present paper demonstrates this (r)evolution for the case of liver toxicity induced by pharmaceutical drugs. NAMs, <em>in casu</em> designed to predict hepatotoxicity, are composed of an <em>in vitro</em> system linked with a suite of assays mechanistically anchored in relevant AOP networks. These NAMs allow tiered testing at the transcriptional, translational and functionality level at high predictive capacity. Although promising, however, several challenges in NAM development still need to be tackled and are discussed in this paper.</div></div>","PeriodicalId":93968,"journal":{"name":"Current opinion in toxicology","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Adverse outcome pathway networks as the basis for the development of new approach methodologies: Liver toxicity as a case study\",\"authors\":\"\",\"doi\":\"10.1016/j.cotox.2024.100504\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The fields of toxicology and risk assessment are witnessing a paradigm shift moving away from animal testing towards the use of nonanimal and human-based new approach methodologies (NAMs). NAMs are fed by mechanistic information captured in adverse outcome pathway (AOP) networks, which are being developed and optimized at high pace. The present paper demonstrates this (r)evolution for the case of liver toxicity induced by pharmaceutical drugs. NAMs, <em>in casu</em> designed to predict hepatotoxicity, are composed of an <em>in vitro</em> system linked with a suite of assays mechanistically anchored in relevant AOP networks. These NAMs allow tiered testing at the transcriptional, translational and functionality level at high predictive capacity. Although promising, however, several challenges in NAM development still need to be tackled and are discussed in this paper.</div></div>\",\"PeriodicalId\":93968,\"journal\":{\"name\":\"Current opinion in toxicology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2024-09-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current opinion in toxicology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2468202024000469\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current opinion in toxicology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468202024000469","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

毒理学和风险评估领域正在发生范式转变,从动物试验转向使用非动物和以人为基础的新方法(NAMs)。新方法由不良后果途径(AOP)网络中捕获的机理信息提供支持,这些网络正在高速发展和优化。本文以药物引起的肝脏毒性为例,展示了这种(再)进化。NAMs 是专为预测肝毒性而设计的,它由一个体外系统和一套相关 AOP 网络中机理锚定的检测方法组成。这些 NAM 可以在转录、转化和功能层面进行分层测试,具有很高的预测能力。尽管前景广阔,但在 NAM 开发过程中仍有一些挑战需要解决,本文将对此进行讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Adverse outcome pathway networks as the basis for the development of new approach methodologies: Liver toxicity as a case study
The fields of toxicology and risk assessment are witnessing a paradigm shift moving away from animal testing towards the use of nonanimal and human-based new approach methodologies (NAMs). NAMs are fed by mechanistic information captured in adverse outcome pathway (AOP) networks, which are being developed and optimized at high pace. The present paper demonstrates this (r)evolution for the case of liver toxicity induced by pharmaceutical drugs. NAMs, in casu designed to predict hepatotoxicity, are composed of an in vitro system linked with a suite of assays mechanistically anchored in relevant AOP networks. These NAMs allow tiered testing at the transcriptional, translational and functionality level at high predictive capacity. Although promising, however, several challenges in NAM development still need to be tackled and are discussed in this paper.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Current opinion in toxicology
Current opinion in toxicology Toxicology, Biochemistry
CiteScore
8.50
自引率
0.00%
发文量
0
审稿时长
64 days
期刊最新文献
Adverse outcome pathway networks as the basis for the development of new approach methodologies: Liver toxicity as a case study New approach methodologies (NAMs) in drug safety assessment: A vision of the future Editorial: Transforming toxicology one cell at a time: A special issue on the application of scRNA-seq to the study of environmental response Editorial Board Practical lessons of the 3Rs: Learning from the past and looking toward the future
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1