Risk assessment of high-energy chemicals by in vitro toxicity screening and quantitative structure-activity relationships

被引:21
|
作者
Trohalaki, S
Zellmer, RJ
Pachter, R
Hussain, SM
Frazier, JM
机构
[1] Tech Management Concepts Inc, Beavercreek, OH 45434 USA
[2] Air Force Res Lab, Mat & Mfg Directorate, Wright Patterson AFB, OH 45433 USA
[3] Mantech Environm Technol Inc, Dayton, OH 45437 USA
[4] Air Force Res Lab, Human Effect Directorate, Wright Patterson AFB, OH 45433 USA
关键词
high-energy chemicals; risk assessment; in vitro toxicity; QSAR; hydrazine;
D O I
10.1093/toxsci/68.2.498
中图分类号
R99 [毒物学(毒理学)];
学科分类号
100405 ;
摘要
Hydrazine propellants pose a substantial operational concern to the U.S. Air Force and to the aerospace industry because of their toxicity. In our continuing efforts to develop methods for the prediction of the toxicological response to such materials, we have measured in vitro toxicity endpoints for a series of high-energy chemicals (HECs) that were recently proposed as propellants. The HECs considered are structurally diverse and can be classified into four chemical types (hydrazine-based, amino-based, triazoles, and a quaternary ammonium salt), although most are hydrazine derivatives. We measured the following endpoints in primary cultures of isolated rat hepatocytes: mitochondrial function (MTT), lactate dehydrogenase leakage (LDH), generation of reactive oxygen species (ROS), and total glutathione content (GSH). In several instances, effective concentrations (EC) were indeterminate, and only lower limits to the measured endpoints could be ascertained. Using molecular descriptors calculated with a semiempirical molecular orbital method, quantitative structure-activity relationships (QSARs) were derived for MTT (EC25) and for GSH (EC50). Correlation coefficients for 2- and 3-parameter QSARs of about 0.9 enable us to predict the toxicity for similar compounds. Furthermore, except in one case, predicted EC values for the uncertain endpoints were consistent with experiment. Descriptors comprising the QSARs for MTT were consistent with the biophysical mechanism of toxic response found experimentally for hydrazine derivatives. Application of our derived QSARs will assist in predicting toxicity for newly proposed propellants.
引用
收藏
页码:498 / 507
页数:10
相关论文
共 50 条
  • [1] Quantitative structure-activity relationships for high-energy chemicals.
    Trohalaki, S
    Pachter, R
    Hussain, S
    Frazier, J
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2001, 222 : U292 - U292
  • [2] Quantitative structure-activity relationships for toxicity of nonpolar narcotic chemicals to Pseudokirchneriella subcapitata
    Hsieh, Shih-Hung
    Hsu, Chih-Hsiung
    Tsai, Din-Yu
    Chen, Chung-Yuan
    ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY, 2006, 25 (11) : 2920 - 2926
  • [3] Interspecies quantitative structure-activity relationships (QSARs) for eco-toxicity screening of chemicals: the role of physicochemical properties
    Furuhama, A.
    Hasunuma, K.
    Aoki, Y.
    SAR AND QSAR IN ENVIRONMENTAL RESEARCH, 2015, 26 (10) : 809 - 830
  • [4] Toxicity prediction of chemicals based on structure-activity relationships
    Nakadate, M
    TOXICOLOGY LETTERS, 1998, 103 : 627 - 629
  • [5] Quantitative structure-activity relationships of hydrophobic organic chemicals
    Zhao, Y.-H.
    Wang, L.-S.
    Toxicological and Environmental Chemistry, 50 (1-4):
  • [6] Structure-activity relationships for In vitro and In vivo toxicity
    Blagg, Julian
    ANNUAL REPORTS IN MEDICINAL CHEMISTRY, VOL 41, 2006, 41 : 353 - 368
  • [7] The use of computer based structure-activity relationships in the risk assessment of industrial chemicals
    Karcher, W
    Karabunarliev, S
    JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES, 1996, 36 (04): : 672 - 677
  • [8] Quantitative structure-activity relationships for phosphoramidothioate toxicity in housefly
    Singh, AK
    COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY C-TOXICOLOGY & PHARMACOLOGY, 1999, 123 (03): : 241 - 255
  • [9] In vitro toxicity of several dithiocarbamates and structure-activity relationships
    Segovia, N
    Crovetto, G
    Lardelli, P
    Espigares, M
    JOURNAL OF APPLIED TOXICOLOGY, 2002, 22 (06) : 353 - 357
  • [10] Rapid toxicity prediction of organic chemicals to Chlorella vulgaris using quantitative structure-activity relationships methods
    Xia, Binbin
    Liu, Kunping
    Gong, Zhiguo
    Zheng, Bo
    Zhang, Xiaoyun
    Fan, Botao
    ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, 2009, 72 (03) : 787 - 794