Aryl Organophosphate Esters and Hemostatic Disruption: Identifying Risk through Machine Learning and Experimental Validation

有机磷 芳基 化学 有机化学 生物 杀虫剂 烷基 农学
作者
Pu Chen,Ziyuan Li,Miao Gan,Xiaopeng Tang,Chengying Zhou,Li Zhao,Xiaoting Jin,Guangbo Qu,Yuxin Zheng,Guibin Jiang
出处
期刊:Environmental Science & Technology [American Chemical Society]
卷期号:59 (21): 10167-10181 被引量:8
标识
DOI:10.1021/acs.est.5c01085
摘要

Organophosphate esters (OPEs) have emerged as a significant environmental concern due to their widespread occurrence and potential human health risks. The presence of OPEs in human blood suggests direct interactions with hematological components, which may compromise hemostatic balance and lead to adverse health outcomes. Despite the critical role of hemostatic balance in maintaining blood stability, the effects of OPEs on this system remain poorly understood. This investigation was undertaken to delineate the effects and potential mechanisms of OPEs that modulate hemostasis, utilizing in silico approach and high-throughput in vitro investigation. We analyzed 85 environmentally prevalent OPEs for their structural descriptors and affinity for proteins essential to hemostatic function. The multiple linear regression implicated aryl-OPEs, distinguished by their benzene ring scaffold, as potent disruptors of hemostatic balance. This analysis result was rigorously validated through the in vitro hemostatic balance assays. Further investigation through network toxicology, artificial intelligence (α-Fold) algorithms, and an agonist cotreatment assay revealed proliferator-activated receptor γ (PPARγ) as a key mediator of aryl-OPEs induced hemostatic disruption. By integrating in vitro experimental insights with in vivo exposure data, we concluded that specific aryl-OPEs, such as bisphenol a bis (diphenyl phosphate) (BDP) and cresyl diphenyl phosphate (CDP), pose a moderate risk to the hemostatic balance of the general population. Our findings not only contribute to the prioritization of OPEs risk management but also establish a methodology for assessing the hematological toxicity of emerging pollutants.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
星辰大海应助yuqinli采纳,获得10
1秒前
鲤鱼诗桃发布了新的文献求助10
1秒前
2秒前
lingchuan发布了新的文献求助10
2秒前
小马甲应助lifesci_ming采纳,获得10
2秒前
2秒前
Lucas应助futong采纳,获得10
2秒前
2秒前
啦啦啦完成签到,获得积分10
2秒前
Ava应助欢喜奇异果采纳,获得30
3秒前
李爱国应助Sc1ivez采纳,获得10
3秒前
3秒前
undo发布了新的文献求助10
3秒前
桐桐应助俊逸安阳采纳,获得10
3秒前
潮汐发布了新的文献求助10
3秒前
4秒前
4秒前
4秒前
4秒前
流星完成签到,获得积分10
4秒前
4秒前
4秒前
5秒前
5秒前
共享精神应助科研通管家采纳,获得30
5秒前
搜集达人应助科研通管家采纳,获得10
5秒前
在水一方应助科研通管家采纳,获得10
5秒前
LLF应助科研通管家采纳,获得10
5秒前
Hello应助科研通管家采纳,获得10
5秒前
小二郎应助科研通管家采纳,获得10
5秒前
5秒前
超帅的碱应助科研通管家采纳,获得10
5秒前
香蕉觅云应助科研通管家采纳,获得10
5秒前
乐空思应助科研通管家采纳,获得30
5秒前
5秒前
5秒前
啦啦啦发布了新的文献求助10
6秒前
果果完成签到,获得积分10
6秒前
打打应助任性的外套采纳,获得10
6秒前
高分求助中
Entre Praga y Madrid: los contactos checoslovaco-españoles (1948-1977) 1000
Polymorphism and polytypism in crystals 1000
Hope Teacher Rating Scale 800
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Death Without End: Korea and the Thanatographics of War 500
Der Gleislage auf der Spur 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6092981
求助须知:如何正确求助?哪些是违规求助? 7923151
关于积分的说明 16402715
捐赠科研通 5224791
什么是DOI,文献DOI怎么找? 2792868
邀请新用户注册赠送积分活动 1775603
关于科研通互助平台的介绍 1650103