Ushering in the new toxicology: Toxicogenomics and the public interest

被引:13
|
作者
Balbus, JM [1 ]
机构
[1] Environm Def, Washington, DC 20009 USA
关键词
bioinformatics; computational toxicology; metabolomics; metabonomics; microarrays; predictive toxicology; proteomics; toxicogenomics; transcriptomics;
D O I
10.1289/ehp.7732
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
New scientific tools spawned by the genomics revolution promise to improve our ability to identify causative factors in human diseases. But as these new tools elucidate the complex interactions between chemical toxins and biologic systems, the strain on traditional ways of understanding toxic effects grows. Despite major advances in the science and technology of these new toxicogenomics tools, scientific and political complexities threaten to delay the use of toxicogenomics to further the public interest or-worse-to advance its use initially to weaken the regulation and safety of widely used chemicals. To gain further insight into the scientific and political landscape of the new toxicology, we interviewed 27 experts from a variety of disciplines and sectors. Interviewees expressed widespread-agreement that the new toxicology promises a significant increase in the amount of information available on toxic effects of chemicals. But the interviews show that the promise of the new toxicology will be realized only if technical and political obstacles can be overcome. Although scientific rigor is necessary for the new toxicology to move forward, the scientific and public-interest communities must ensure that inappropriate definitions of rigor, as well as proprietary interests, do not create unnecessary barriers to more effective public health protection.
引用
收藏
页码:818 / 822
页数:5
相关论文
共 50 条
  • [21] Special Issue: Toxicogenomics and Clinical Toxicology Preface
    Ferrer-Dufol, Ana
    Vericat, Joan Albert
    TOXICOLOGY LETTERS, 2009, 186 (01) : 1 - 1
  • [22] Application of toxicogenomics to genetic toxicology risk assessment
    Thybaud, Veronique
    Le Fevre, Anne-Celine
    Boitier, Eric
    ENVIRONMENTAL AND MOLECULAR MUTAGENESIS, 2007, 48 (05) : 369 - 379
  • [23] TOXICOGENOMICS AND SYSTEMS TOXICOLOGY APPROACHES TO UNDERSTANDING ADVERSE OUTCOMES
    Willy, Jeffrey
    Qiu, Jiabin
    Wang, Evan
    Webster, Yue
    DRUG METABOLISM AND PHARMACOKINETICS, 2019, 34 (01) : S8 - S8
  • [24] Promising next generation technology in toxicology-toxicogenomics
    Ryu, Jae-Chun
    Kim, Meyoung-Kon
    Choi, Man Ho
    Chun, Taehoon
    MOLECULAR & CELLULAR TOXICOLOGY, 2005, 1 (01) : 1 - 6
  • [25] Toxicogenomics in agrochemicals: Developing a predictive systems toxicology platform
    Corvaro, M.
    Elango, N.
    Johnson, K.
    Veeramani, B.
    Sriram, S.
    Lebaron, M.
    Raymond, J.
    Yang, K.
    Mcewan, R.
    John, B.
    Rasoulpour, R.
    TOXICOLOGY LETTERS, 2016, 258 : S282 - S282
  • [26] Case history: Toxicology biomarker development using toxicogenomics
    Watson, David E.
    Ryan, Timothy P.
    Stevens, James L.
    OPTIMIZING THE DRUG-LIKE PROPERTIES OF LEADS IN DRUG DISCOVERY, 2006, 4 : 255 - +
  • [27] Application of toxicogenomics to genetic toxicology risk assessment.
    Thybaud, V. T.
    ENVIRONMENTAL AND MOLECULAR MUTAGENESIS, 2006, 47 (06) : 407 - 407
  • [28] Toxicogenomics in genetic toxicology and hazard determination: Introduction and overview
    Sarrif, A
    van Delft, JHM
    Gant, TW
    Elliott, BM
    van Ravenzwaay, B
    van Steeg, H
    Vrijhof, H
    MUTATION RESEARCH-FUNDAMENTAL AND MOLECULAR MECHANISMS OF MUTAGENESIS, 2005, 575 (1-2) : 1 - 3
  • [29] Toxicogenomics in genetic toxicology and hazard determination - concluding remarks
    Sarrif, A
    van Delft, JHM
    Gant, TW
    Kleinjans, JCS
    van Vliet, E
    MUTATION RESEARCH-FUNDAMENTAL AND MOLECULAR MECHANISMS OF MUTAGENESIS, 2005, 575 (1-2) : 116 - 117
  • [30] Advances in Single-Cell Toxicogenomics in Environmental Toxicology
    Liu, Yuxuan
    Chen, Ling
    Yu, Jing
    Ye, Lin
    Hu, Haidong
    Wang, Jinfeng
    Wu, Bing
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2022, 56 (16) : 11132 - 11145