• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

组学技术在职业与环境卫生研究中的应用;现状与展望。

Application of OMICS technologies in occupational and environmental health research; current status and projections.

机构信息

Institute for Risk Assessment Sciences, Division of Environmental Epidemiology, University Utrecht, Po Box 80178, 3508 TD, Utrecht, the Netherlands.

出版信息

Occup Environ Med. 2010 Feb;67(2):136-43. doi: 10.1136/oem.2008.042788. Epub 2009 Nov 20.

DOI:10.1136/oem.2008.042788
PMID:19933307
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2910417/
Abstract

OMICS technologies are relatively new biomarker discovery tools that can be applied to study large sets of biological molecules. Their application in human observational studies (HOS) has become feasible in recent years due to a spectacular increase in the sensitivity, resolution and throughput of OMICS-based assays. Although, the number of OMICS techniques is ever expanding, the five most developed OMICS technologies are genotyping, transcriptomics, epigenomics, proteomics and metabolomics. These techniques have been applied in HOS to various extents. However, their application in occupational environmental health (OEH) research has been limited. Here, we will discuss the opportunities these new techniques provide for OEH research. In addition we will address difficulties and limitations to the interpretation of the data that is generated by OMICS technologies. To illustrate the current status of the application of OMICS in OEH research, we will provide examples of studies that used OMICS technologies to investigate human health effects of two well-known toxicants, benzene and arsenic.

摘要

组学技术是相对较新的生物标志物发现工具,可用于研究大量的生物分子。近年来,由于基于组学的检测方法的灵敏度、分辨率和通量有了显著提高,其在人类观察性研究(HOS)中的应用成为可能。尽管组学技术的数量不断增加,但最发达的五种组学技术是基因分型、转录组学、表观基因组学、蛋白质组学和代谢组学。这些技术已在 HOS 中得到了不同程度的应用。然而,它们在职业环境卫生(OEH)研究中的应用受到限制。在这里,我们将讨论这些新技术为 OEH 研究提供的机会。此外,我们还将讨论解释组学技术产生的数据所面临的困难和限制。为了说明组学在 OEH 研究中的应用现状,我们将提供使用组学技术研究两种已知有毒物质苯和砷对人类健康影响的研究示例。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6d7/2910417/c82ebff076da/nihms217535f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6d7/2910417/c82ebff076da/nihms217535f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6d7/2910417/c82ebff076da/nihms217535f1.jpg

相似文献

1
Application of OMICS technologies in occupational and environmental health research; current status and projections.组学技术在职业与环境卫生研究中的应用;现状与展望。
Occup Environ Med. 2010 Feb;67(2):136-43. doi: 10.1136/oem.2008.042788. Epub 2009 Nov 20.
2
Omics and rare diseases: challenges, applications, and future perspectives.组学与罕见病:挑战、应用及未来展望。
Expert Rev Proteomics. 2025 Mar;22(3):107-122. doi: 10.1080/14789450.2025.2468300. Epub 2025 Feb 20.
3
Multi-omics approaches for biomarker discovery and precision diagnosis of prediabetes.用于糖尿病前期生物标志物发现和精准诊断的多组学方法。
Front Endocrinol (Lausanne). 2025 Mar 14;16:1520436. doi: 10.3389/fendo.2025.1520436. eCollection 2025.
4
Application of omics technologies in dermatological research and skin management.组学技术在皮肤科研究和皮肤管理中的应用。
J Cosmet Dermatol. 2022 Feb;21(2):451-460. doi: 10.1111/jocd.14100. Epub 2021 Apr 1.
5
Data analysis methods for defining biomarkers from omics data.用于从组学数据中定义生物标志物的数据分析方法。
Anal Bioanal Chem. 2022 Jan;414(1):235-250. doi: 10.1007/s00216-021-03813-7. Epub 2021 Dec 24.
6
A clinician's guide to omics resources in dermatology.皮肤科组学资源临床医生指南。
Clin Exp Dermatol. 2022 May;47(5):858-866. doi: 10.1111/ced.15117. Epub 2022 Mar 3.
7
Multiomics technologies: role in disease biomarker discoveries and therapeutics.多组学技术:在疾病生物标志物发现和治疗中的作用。
Brief Funct Genomics. 2023 Apr 13;22(2):76-96. doi: 10.1093/bfgp/elac017.
8
The Need for Multi-Omics Biomarker Signatures in Precision Medicine.精准医学中多组学生物标志物特征的必要性。
Int J Mol Sci. 2019 Sep 26;20(19):4781. doi: 10.3390/ijms20194781.
9
Multi-omics study for interpretation of genome-wide association study.多组学研究用于解释全基因组关联研究。
J Hum Genet. 2021 Jan;66(1):3-10. doi: 10.1038/s10038-020-00842-5. Epub 2020 Sep 18.
10
Opportunities and Challenges in Advancing Plant Research with Single-cell Omics.单细胞组学推动植物研究的机遇与挑战。
Genomics Proteomics Bioinformatics. 2024 Jul 3;22(2). doi: 10.1093/gpbjnl/qzae026.

引用本文的文献

1
The Associations of Air Pollution Mixture Exposure with Plasma Proteins in an Elderly U.S. Panel.美国老年人群空气污染混合物暴露与血浆蛋白的关联
Environ Sci Technol. 2025 Aug 5;59(30):15692-15704. doi: 10.1021/acs.est.5c03052. Epub 2025 Jul 24.
2
Effects of exposure to trihalomethanes in swimming pool waters on metabolomics profile: a randomized parallel design trial.游泳池水中三卤甲烷暴露对代谢组学特征的影响:一项随机平行设计试验
J Environ Health Sci Eng. 2024 Jul 10;22(2):533-544. doi: 10.1007/s40201-024-00912-2. eCollection 2024 Dec.
3
Metabolomics and proteomics in occupational medicine: a comprehensive systematic review.

本文引用的文献

1
Copy number variations and cancer.拷贝数变异与癌症。
Genome Med. 2009 Jun 16;1(6):62. doi: 10.1186/gm62.
2
Bayesian mixture modeling of gene-environment and gene-gene interactions.贝叶斯混合模型基因-环境和基因-基因相互作用。
Genet Epidemiol. 2010 Jan;34(1):16-25. doi: 10.1002/gepi.20429.
3
GSTM1 copy number and lung cancer risk.谷胱甘肽S-转移酶M1基因拷贝数与肺癌风险
职业医学中的代谢组学和蛋白质组学:一项全面的系统综述。
J Occup Med Toxicol. 2024 Oct 15;19(1):38. doi: 10.1186/s12995-024-00436-3.
4
Prenatal exposures to endocrine disrupting chemicals: The role of multi-omics in understanding toxicity.产前暴露于内分泌干扰化学物质:多组学在毒性理解中的作用。
Mol Cell Endocrinol. 2023 Dec 1;578:112046. doi: 10.1016/j.mce.2023.112046. Epub 2023 Aug 19.
5
Integrative meta-omics in Galaxy and beyond.Galaxy及其他平台中的整合元组学
Environ Microbiome. 2023 Jul 7;18(1):56. doi: 10.1186/s40793-023-00514-9.
6
A precision environmental health approach to prevention of human disease.精准环境健康方法预防人类疾病。
Nat Commun. 2023 Apr 28;14(1):2449. doi: 10.1038/s41467-023-37626-2.
7
Impacts of Different Prenatal Supplementation Strategies on the Plasma Metabolome of Bulls in the Rearing and Finishing Phase.不同产前补充策略对育肥期公牛血浆代谢组的影响
Metabolites. 2023 Feb 10;13(2):259. doi: 10.3390/metabo13020259.
8
Challenges and considerations for single-cell and spatially resolved transcriptomics sample collection during spaceflight.单细胞和空间分辨转录组学样本在航天飞行中采集面临的挑战和考虑因素。
Cell Rep Methods. 2022 Oct 31;2(11):100325. doi: 10.1016/j.crmeth.2022.100325. eCollection 2022 Nov 21.
9
Early Metabolomic Markers of Acute Low-Dose Exposure to Uranium in Rats.大鼠急性低剂量铀暴露的早期代谢组学标志物
Metabolites. 2022 May 7;12(5):421. doi: 10.3390/metabo12050421.
10
Towards a toxic-free environment: perspectives for chemical risk assessment approaches.迈向无毒环境:化学风险评估方法的展望。
Med Lav. 2022 Feb 22;113(1):e2022004. doi: 10.23749/mdl.v113i1.12748.
Mutat Res. 2009 May 12;664(1-2):1-5. doi: 10.1016/j.mrfmmm.2009.01.006. Epub 2009 Feb 4.
4
Strengthening the reporting of genetic association studies (STREGA): an extension of the STROBE statement.加强基因关联研究报告规范(STREGA):STROBE声明的扩展
Eur J Epidemiol. 2009;24(1):37-55. doi: 10.1007/s10654-008-9302-y. Epub 2009 Feb 3.
5
How to use an article about genetic association: B: Are the results of the study valid?如何使用一篇关于基因关联的文章:B:该研究结果是否有效?
JAMA. 2009 Jan 14;301(2):191-7. doi: 10.1001/jama.2008.946.
6
Gene-environment interaction in genome-wide association studies.全基因组关联研究中的基因-环境相互作用
Am J Epidemiol. 2009 Jan 15;169(2):219-26. doi: 10.1093/aje/kwn353. Epub 2008 Nov 20.
7
Systems epidemiology in cancer.癌症中的系统流行病学
Cancer Epidemiol Biomarkers Prev. 2008 Nov;17(11):2954-7. doi: 10.1158/1055-9965.EPI-08-0519.
8
Large-scale evaluation of candidate genes identifies associations between DNA repair and genomic maintenance and development of benzene hematotoxicity.对候选基因的大规模评估确定了DNA修复与基因组维持以及苯血液毒性发展之间的关联。
Carcinogenesis. 2009 Jan;30(1):50-8. doi: 10.1093/carcin/bgn249. Epub 2008 Oct 31.
9
Decreased urinary beta-defensin-1 expression as a biomarker of response to arsenic.尿β-防御素-1表达降低作为砷反应生物标志物
Toxicol Sci. 2008 Nov;106(1):74-82. doi: 10.1093/toxsci/kfn104. Epub 2008 May 28.
10
Common and rare variants in multifactorial susceptibility to common diseases.常见疾病多因素易感性中的常见和罕见变异。
Nat Genet. 2008 Jun;40(6):695-701. doi: 10.1038/ng.f.136.