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
  • [21] Studies on the mechanism of toxicity of chlorophenols found in fish through quantitative structure-activity relationships
    Kishino, T
    Kobayshi, K
    WATER RESEARCH, 1996, 30 (02) : 393 - 399
  • [22] Evaluation of Combined Toxicity of Phenols and Lead to Photobacterium phosphoreum and Quantitative Structure-Activity Relationships
    Su, L. M.
    Zhao, Y. H.
    Yuan, X.
    Mu, C. F.
    Wang, N.
    Yan, J. C.
    BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY, 2010, 84 (03) : 311 - 314
  • [23] Quantitative structure-activity and quantitative structure-property relationship approaches as alternative skin sensitization risk assessment methods
    Kim, Ji Yun
    Kim, Min Kook
    Kim, Kyu-Bong
    Kim, Hyung Sik
    Lee, Byung-Mu
    JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH-PART A-CURRENT ISSUES, 2019, 82 (07): : 447 - 472
  • [24] Structure-activity relationships of volatile organic chemicals as sensory irritants
    Y. Alarie
    M. Schaper
    G. D. Nielsen
    M. H. Abraham
    Archives of Toxicology, 1998, 72 : 125 - 140
  • [25] Ecotoxicity quantitative structure-activity relationships for alcohol ethoxylate mixtures based on substance-specific toxicity predictions
    Boeije, GM
    Cano, ML
    Marshall, SJ
    Belanger, SE
    Van Compernolle, R
    Dorn, PB
    Gümbel, H
    Toy, R
    Wind, T
    ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, 2006, 64 (01) : 75 - 84
  • [26] Quantitative structure-activity-activity and quantitative structure-activity investigations of human and rodent toxicity
    Lessigiarska, Iglika
    Worth, Andrew P.
    Netzeva, Tatiana I.
    Dearden, John C.
    Cronin, Mark T. D.
    CHEMOSPHERE, 2006, 65 (10) : 1878 - 1887
  • [27] Structure-activity relationships of volatile organic chemicals as sensory irritants
    Alarie, Y
    Schaper, M
    Nielsen, GD
    Abraham, MH
    ARCHIVES OF TOXICOLOGY, 1998, 72 (03) : 125 - 140
  • [28] Quantitative structure-activity relationships (QSARs) using the novel marine algal toxicity data of phenols
    Erturk, M. Doga
    Sacan, Melek Turker
    Novic, Marjana
    Minovski, Nikola
    JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 2012, 38 : 90 - 100
  • [29] Quantitative structure-activity relationship models for bee toxicity
    Toropov, Andrey A.
    Toropova, Alla P.
    Como, Francesca
    Benfenati, Emilio
    TOXICOLOGICAL AND ENVIRONMENTAL CHEMISTRY, 2017, 99 (7-8) : 1117 - 1128
  • [30] Quantitative structure-activity relationships and the prediction of MHC supermotifs
    Doytchinova, IA
    Guan, PP
    Flower, DR
    METHODS, 2004, 34 (04) : 444 - 453