General Unified Threshold Model of Survival - a Toxicokinetic-Toxicodynamic Framework for Ecotoxicology

被引:353
作者
Jager, Tjalling [2 ]
Albert, Carlo [1 ]
Preuss, Thomas G. [3 ]
Ashauer, Roman [1 ]
机构
[1] Eawag, Swiss Fed Inst Aquat Sci & Technol, CH-8600 Dubendorf, Switzerland
[2] Vrije Univ Amsterdam, Dept Theoret Biol, NL-1081 HV Amsterdam, Netherlands
[3] Rhein Westfal TH Aachen, Inst Environm Res, D-52064 Aachen, Germany
关键词
ECOLOGICAL RISK-ASSESSMENT; MECHANISTIC EFFECT MODELS; TIME-DEPENDENT TOXICITY; BIOLOGY-BASED APPROACH; MULTIPLE END-POINTS; ORGANIC-CHEMICALS; POPULATION-MODELS; AQUATIC TOXICITY; MIXTURE TOXICITY; PULSE-EXPOSURE;
D O I
10.1021/es103092a
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Toxicokinetic-toxicodynamic models (TKTD models) simulate the time-course of processes leading to toxic effects on organisms. Even for an apparently simple endpoint as survival, a large number of very different TKTD approaches exist. These differ in their underlying hypotheses and assumptions, although often the assumptions are not explicitly stated. Thus, our first objective was to illuminate the underlying assumptions (individual tolerance or stochastic death, speed of toxicodynamic damage recovery, threshold distribution) of various existing modeling approaches for survival and show how they relate to each other (e.g., critical body residue, critical target occupation, damage assessment, DEBtox survival, threshold damage). Our second objective was to develop a general unified threshold model for survival (GUTS), from which a large range of existing models can be derived as special cases. Specific assumptions to arrive at these special cases are made and explained. Finally, we illustrate how special cases of GUTS can be fitted to survival data. We envision that GUTS will help increase the application of TKTD models in ecotoxicological research as well as environmental risk assessment of chemicals. It unifies a wide range of previously unrelated approaches, clarifies their underlying assumptions, and facilitates further improvement in the modeling of survival under chemical stress.
引用
收藏
页码:2529 / 2540
页数:12
相关论文
共 67 条
[1]   EFFECTS OF LIGHT-INTENSITY ON THE PHOTOTOXICITY OF FLUORANTHENE TO A BENTHIC MACROINVERTEBRATE [J].
ANKLEY, GT ;
ERICKSON, RJ ;
PHIPPS, GL ;
MATTSON, VR ;
KOSIAN, PA ;
SHEEDY, BR ;
COX, JS .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 1995, 29 (11) :2828-2833
[2]  
Ashauer R, 2006, ENVIRON TOXICOL CHEM, V25
[3]  
Ashauer R, 2008, ENVIRON TOXICOL CHEM, V27, P1817, DOI 10.1897/07-642
[4]   Modeling combined effects of pulsed exposure to carbaryl and chlorpyrifos on Gammarus pulex [J].
Ashauer, Roman ;
Boxall, Alistair B. A. ;
Brown, Colin D. .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2007, 41 (15) :5535-5541
[5]   New ecotoxicological model to simulate survival of aquatic invertebrates after exposure to fluctuating and sequential pulses of pesticides [J].
Ashauer, Roman ;
Boxall, Alistair B. A. ;
Brown, Colin D. .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2007, 41 (04) :1480-1486
[6]   Advantages of toxicokinetic and toxicodynamic modelling in aquatic ecotoxicology and risk assessment [J].
Ashauer, Roman ;
Escher, Beate I. .
JOURNAL OF ENVIRONMENTAL MONITORING, 2010, 12 (11) :2056-2061
[7]   BIOACCUMULATION KINETICS OF ORGANIC XENOBIOTIC POLLUTANTS IN THE FRESHWATER INVERTEBRATE GAMMARUS PULEX MODELED WITH PREDICTION INTERVALS [J].
Ashauer, Roman ;
Caravatti, Ivo ;
Hintermeister, Anita ;
Escher, Beate I. .
ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY, 2010, 29 (07) :1625-1636
[8]   Toxicokinetic and Toxicodynamic Modeling Explains Carry-over Toxicity from Exposure to Diazinon by Slow Organism Recovery [J].
Ashauer, Roman ;
Hintermeister, Anita ;
Caravatti, Ivo ;
Kretschmann, Andreas ;
Escher, Beate I. .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2010, 44 (10) :3963-3971
[9]   Toxicokinetic-toxicodynamic modelling in an individual based context-Consequences of parameter variability [J].
Ashauer, Roman .
ECOLOGICAL MODELLING, 2010, 221 (09) :1325-1328
[10]   Estimation of no effect concentrations from exposure experiments when values scatter among individuals [J].
Baas, J. ;
Jager, T. ;
Kooijman, S. A. L. M. .
ECOLOGICAL MODELLING, 2009, 220 (03) :411-418