Suppr超能文献

利用整合毒理基因组学方法,开发以压力源为中心的塑料添加剂不良结局途径网络。

Leveraging integrative toxicogenomic approach towards development of stressor-centric adverse outcome pathway networks for plastic additives.

机构信息

Computational Biology Group, The Institute of Mathematical Sciences (IMSc), CIT Campus, Taramani, Chennai, 600113, India.

Homi Bhabha National Institute (HBNI), Mumbai, 400094, India.

出版信息

Arch Toxicol. 2024 Oct;98(10):3299-3321. doi: 10.1007/s00204-024-03825-z. Epub 2024 Aug 3.

Abstract

Plastics are widespread pollutants found in atmospheric, terrestrial and aquatic ecosystems due to their extensive usage and environmental persistence. Plastic additives, that are intentionally added to achieve specific functionality in plastics, leach into the environment upon plastic degradation and pose considerable risk to ecological and human health. Limited knowledge concerning the presence of plastic additives throughout plastic life cycle has hindered their effective regulation, thereby posing risks to product safety. In this study, we leveraged the adverse outcome pathway (AOP) framework to understand the mechanisms underlying plastic additives-induced toxicities. We first identified an exhaustive list of 6470 plastic additives from chemicals documented in plastics. Next, we leveraged heterogenous toxicogenomics and biological endpoints data from five exposome-relevant resources, and identified associations between 1287 plastic additives and 322 complete and high quality AOPs within AOP-Wiki. Based on these plastic additive-AOP associations, we constructed a stressor-centric AOP network, wherein the stressors are categorized into ten priority use sectors and AOPs are linked to 27 disease categories. We visualized the plastic additives-AOP network for each of the 1287 plastic additives and made them available in a dedicated website: https://cb.imsc.res.in/saopadditives/ . Finally, we showed the utility of the constructed plastic additives-AOP network by identifying highly relevant AOPs associated with benzo[a]pyrene (B[a]P), bisphenol A (BPA), and bis(2-ethylhexyl) phthalate (DEHP) and thereafter, explored the associated toxicity pathways in humans and aquatic species. Overall, the constructed plastic additives-AOP network will assist regulatory risk assessment of plastic additives, thereby contributing towards a toxic-free circular economy for plastics.

摘要

塑料由于其广泛的应用和环境持久性,成为了大气、陆地和水生生态系统中广泛存在的污染物。塑料添加剂是为了在塑料中实现特定功能而有意添加的,在塑料降解时会浸出到环境中,并对生态和人类健康构成相当大的风险。由于对塑料生命周期中存在的塑料添加剂的了解有限,限制了对其进行有效监管,从而对产品安全构成了风险。在本研究中,我们利用不良结局途径(AOP)框架来了解塑料添加剂诱导毒性的机制。我们首先从塑料中记录的化学品中确定了一份详尽的 6470 种塑料添加剂清单。接下来,我们利用来自五个暴露组学相关资源的异质毒理学基因组学和生物学终点数据,确定了 1287 种塑料添加剂与 AOP-Wiki 中 322 个完整和高质量 AOP 之间的关联。基于这些塑料添加剂-AOP 关联,我们构建了一个以应激源为中心的 AOP 网络,其中应激源分为十个优先使用部门,AOP 与 27 个疾病类别相关联。我们为 1287 种塑料添加剂中的每一种都可视化了塑料添加剂-AOP 网络,并将其放在一个专门的网站上:https://cb.imsc.res.in/saopadditives/。最后,我们通过识别与苯并[a]芘(B[a]P)、双酚 A(BPA)和邻苯二甲酸二(2-乙基己基)酯(DEHP)相关的高度相关 AOP,展示了构建的塑料添加剂-AOP 网络的实用性,然后探索了人类和水生物种中与之相关的毒性途径。总体而言,构建的塑料添加剂-AOP 网络将有助于对塑料添加剂进行监管风险评估,从而为塑料的无毒循环经济做出贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f09/11402864/e6998defd7dc/204_2024_3825_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验