Systems biology of asphalt pollutants and their human molecular targets

Eran Rozewski, Omran Taqi, E. Fini, Nastassja A. Lewinski, J. Klein-Seetharaman
{"title":"Systems biology of asphalt pollutants and their human molecular targets","authors":"Eran Rozewski, Omran Taqi, E. Fini, Nastassja A. Lewinski, J. Klein-Seetharaman","doi":"10.3389/fsysb.2022.928962","DOIUrl":null,"url":null,"abstract":"More than 90% of all the roads in the United States are covered with asphalt, despite hundreds of scientific studies demonstrating the detrimental effect of asphalt on human health. Asphalt is a complex mixture of thousands of compounds. Here, we not only review studies of the effects of asphalt on human health, but go a step further by taking a novel view of these health effects from a systems biology perspective. In particular, we propose an analogy to protein-protein interaction networks, which can be within species and across species when looking at host-pathogen interactions. While in the former, all nodes are of the same type (e.g., human proteins), in the latter nodes can be of different types, such as human proteins and pathogen proteins. To build a corresponding network of interactions between different nodes for asphalt, we retrieved the literature studying the molecular targets of identified components in asphalt and their corresponding cellular biomarkers. Using this approach, we show that a complex trans pollutant-human target network appears in which multiple health effects can be triggered through interactions of multiple pollutant molecules with multiple human targets. We envision that the insights gained from this analysis may assist future efforts at regulating the use of asphalt.","PeriodicalId":73109,"journal":{"name":"Frontiers in systems biology","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in systems biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fsysb.2022.928962","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

More than 90% of all the roads in the United States are covered with asphalt, despite hundreds of scientific studies demonstrating the detrimental effect of asphalt on human health. Asphalt is a complex mixture of thousands of compounds. Here, we not only review studies of the effects of asphalt on human health, but go a step further by taking a novel view of these health effects from a systems biology perspective. In particular, we propose an analogy to protein-protein interaction networks, which can be within species and across species when looking at host-pathogen interactions. While in the former, all nodes are of the same type (e.g., human proteins), in the latter nodes can be of different types, such as human proteins and pathogen proteins. To build a corresponding network of interactions between different nodes for asphalt, we retrieved the literature studying the molecular targets of identified components in asphalt and their corresponding cellular biomarkers. Using this approach, we show that a complex trans pollutant-human target network appears in which multiple health effects can be triggered through interactions of multiple pollutant molecules with multiple human targets. We envision that the insights gained from this analysis may assist future efforts at regulating the use of asphalt.
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
沥青污染物的系统生物学及其人体分子靶点
尽管数百项科学研究表明沥青对人类健康有有害影响,但美国90%以上的道路都覆盖着沥青。沥青是由数千种化合物组成的复杂混合物。在这里,我们不仅回顾了沥青对人类健康影响的研究,而且更进一步,从系统生物学的角度对这些健康影响采取了新的观点。特别是,我们提出了一种类似于蛋白质-蛋白质相互作用网络的方法,当观察宿主-病原体的相互作用时,这种网络可以是物种内的,也可以是跨物种的。在前者中,所有节点都是相同类型的(例如,人类蛋白质),而在后者中,节点可以是不同类型的,例如人类蛋白质和病原体蛋白质。为了建立沥青不同节点之间相互作用的相应网络,我们检索了研究沥青中已鉴定成分的分子靶标及其相应细胞生物标志物的文献。使用这种方法,我们表明出现了一个复杂的跨污染物人类目标网络,其中通过多种污染物分子与多个人类目标的相互作用,可以触发多种健康影响。我们设想,从这一分析中获得的见解可能有助于未来规范沥青使用的努力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Transporter annotations are holding up progress in metabolic modeling Life’s building blocks: the modular path to multiscale complexity Coupling quantitative systems pharmacology modelling to machine learning and artificial intelligence for drug development: its pAIns and gAIns Predicting chronic responses to calcium channel blockade with a virtual population of African Americans with hypertensive chronic kidney disease Building an Adverse Outcome Pathway network for COVID-19
×
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