NSCPHD1041 Dynamic modelling of toxic effects
The PhD course database is under construction. If you want to sign up for this course, please click on the link in order to be re-directed. Link: https://phdcourses.ku.dk/nat.aspx
The toxicity of a chemical depends on chemical properties, the
exposed species, exposure time, the endpoint measured and exposure
conditions. Mathematical modelling is a powerful tool to interpret
the results of laboratory toxicity tests and to make educated
In this course, you will learn the basics of toxicokinetic and toxicodynamic modelling, and how they can be linked and learn how to analyse and interpret body residue and toxicity data on a mechanistic basis.
A detailed schedule for the content of the specific talks and exercises will be provided in spring.
The overall content is given in this summary:
The toxicity of a chemical depends on properties of the compound and of the species that is exposed, but also on the exposure time, the endpoint (e.g. growth, reproduction or survival), and the exposure conditions (temperature, food level, etc.).
In ecotoxicology, the interdependencies of these factors are generally ignored by rigid standardisation of the tests and descriptive summary statistics such as EC50 and NOEC. However, we need a more mechanistic interpretation of toxicity to make an unbiased comparison of toxicity between species and chemicals, and to extrapolate the effects to untested exposure conditions. Because it is impossible to test all chemicals on all species under all possible exposure scenarios, extrapolation is of key importance for ecotoxicologists and environmental risk assessors.
Mathematical modelling is a powerful tool to interpret the results of laboratory toxicity tests and to make educated extrapolations. The process of mechanistically modelling toxicity can be divided into two steps: toxicokinetics (TK) and toxicodynamics (TD).
TK deals with the uptake, biotransformation and distribution of a chemical into the body of an organism, whereas TD deals with the next step: from internal concentration of the active compound to effects on the organism over time.
In this course, you will learn the basics of TK and TD modelling, and how they can be linked, and you will learn to analyse and interpret toxicity data on a mechanistic basis.
For TK modelling, we will focus on 1- and 2-compartment models; TD modelling will be based on a simple Dynamic Energy Budget model (DEBkiss). The course comprises a combination of lectures, computer exercises and discussions. In the computer exercises you will learn to build and use basic TKTD models yourself in Matlab or OpenModel. The output of the course will be individual reports where the students use their accomplished skills to fit TKTD models to their own and/or provided data, and to interpret the results. The focus organisms for the modelling are aquatic invertebrates and fish. Terrestrial invertebrates, birds and mammals will not be explicitely treated though many aspects of TKTD modelling will be comparable.
In this course, students will:
- Understand the concepts of TK and TD
- Understand the basics of mechanistic effect modelling
- Build TK and TD models to analyse and interpret toxicity data
- Analyse example data, discuss and interpret the results
Use the software Matlab or OpenModel
Jager T, Heugens EHW, Kooijman SALM. 2006. Making sense of ecotoxicological test results: Towards application of process-based models. Ecotoxicology 15:305-314.
Ashauer R, Escher BI. 2010. Advantages of toxicokinetic and toxicodynamic modelling in aquatic ecotoxicology and risk assessment. Journal of Environmental Monitoring 12:2056-2061.
Jager, T.; Martin, B. T.; Zimmer, E. I., DEBkiss or the quest for the simplest generic model of animal life history. Journal of Theoretical Biology 2013, 328, 9-18.
The course will take place at Søminestationen (http:// www.soeminestationen.dk/). Transport to and from Søminestationen to Holbæk station on Tuesday 9th and Wednesday 17th of August 2016 and food and housing is included in the price.
To sign up for the course, please send an e-mail to Nina Cedergreen (email@example.com). Please also remember to add the course to your PhD plan.
- 5 ECTS
- Type of assessment
- Written assignmentWritten assignment >
The final report must be handed in in time and be accepted by the course convenors.
- Exam registration requirements
5 ECTS for the entire course. 3 ETCS if participating but not handing in the final report.
We expect you to prepare for the course in advance and to hand in a report at September 1st at the latest to receive full credits.
- Exam period
- Theory exercises
- Practical exercises
- Project work