Advanced technologies in genomic toxicology: Current trend and future directions

Pasquale Capone, Pieranna Chiarella, Renata Sisto
{"title":"Advanced technologies in genomic toxicology: Current trend and future directions","authors":"Pasquale Capone,&nbsp;Pieranna Chiarella,&nbsp;Renata Sisto","doi":"10.1016/j.cotox.2023.100444","DOIUrl":null,"url":null,"abstract":"<div><p>Toxicogenomics is a subdiscipline of toxicology that assesses the toxicity using a combination of genomics, advanced computational technologies, and other high-throughput techniques. In the last few years, the rapid evolution of technologies such as transcriptomics, proteomics, metabolomics, and computational technologies allowed the application of a more flexible strategy for the risk assessment due to exposure to chemical and xenobiotic substances. The integration of bioinformatics approaches with novel genomic technologies permits extraordinary advancements in different fields of biology, toxicology, medicine, and, in particular, in occupational medicine, making accessible a “personalized” approach to this discipline. The scope of this paper is to investigate the recent trend of genomic toxicology in combination with bioinformatics approaches and its novel application in toxicological studies with reference to our experience and findings. In particular, it is shown how the dose biomarkers, the pollutants urine metabolites in our case, allow a precise exposure assessment whilst effect biomarkers can be individuated, significantly associated with the former. Among the effect biomarkers, our experience is mainly focused on oxidative stress biomarkers and miRNA profiles. Finally, it is shown how the early effect biomarkers are dysregulated when specific clinical outcomes are occurring. This early dysregulation can be used as individual susceptibility biomarker.</p></div>","PeriodicalId":93968,"journal":{"name":"Current opinion in toxicology","volume":"37 ","pages":"Article 100444"},"PeriodicalIF":4.6000,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2468202023000591/pdfft?md5=9126629f8ba9407328b06c7c140847e8&pid=1-s2.0-S2468202023000591-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current opinion in toxicology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468202023000591","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Toxicogenomics is a subdiscipline of toxicology that assesses the toxicity using a combination of genomics, advanced computational technologies, and other high-throughput techniques. In the last few years, the rapid evolution of technologies such as transcriptomics, proteomics, metabolomics, and computational technologies allowed the application of a more flexible strategy for the risk assessment due to exposure to chemical and xenobiotic substances. The integration of bioinformatics approaches with novel genomic technologies permits extraordinary advancements in different fields of biology, toxicology, medicine, and, in particular, in occupational medicine, making accessible a “personalized” approach to this discipline. The scope of this paper is to investigate the recent trend of genomic toxicology in combination with bioinformatics approaches and its novel application in toxicological studies with reference to our experience and findings. In particular, it is shown how the dose biomarkers, the pollutants urine metabolites in our case, allow a precise exposure assessment whilst effect biomarkers can be individuated, significantly associated with the former. Among the effect biomarkers, our experience is mainly focused on oxidative stress biomarkers and miRNA profiles. Finally, it is shown how the early effect biomarkers are dysregulated when specific clinical outcomes are occurring. This early dysregulation can be used as individual susceptibility biomarker.

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
基因组毒理学的先进技术:当前趋势和未来方向
毒物基因组学是毒理学的一个分支学科,它利用基因组学、先进的计算技术和其他高通量技术的结合来评估毒性。在过去的几年里,转录组学、蛋白质组学、代谢组学和计算技术等技术的快速发展,使得对化学和外源物质暴露的风险评估采用了更灵活的策略。生物信息学方法与新的基因组技术相结合,使生物学、毒理学、医学,特别是职业医学的不同领域取得了非凡的进步,使这一学科的“个性化”方法成为可能。本文结合我们的经验和发现,探讨了基因组毒理学与生物信息学相结合的最新趋势及其在毒理学研究中的新应用。特别是,它显示了剂量生物标记物,在我们的情况下污染物尿液代谢物,如何允许精确的暴露评估,而效果生物标记物可以个性化,与前者显著相关。在效应生物标志物中,我们的经验主要集中在氧化应激生物标志物和miRNA谱上。最后,它显示了当特定临床结果发生时,早期效应生物标志物是如何失调的。这种早期失调可以作为个体易感性的生物标志物。
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
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