Many drug candidates fail clinical trials due to insufficient efficacy, toxicity or pharmacokinetic deficiencies. Predictive preclinical and clinical disease models are therefore necessary for evaluating disease hypotheses and for the differentiated validation of the activity profiles of active substances.
The Institute has many years of experience in the development of »disease models« that can be used to characterise drug candidates with regard to their pharmacodynamics and kinetics.
In vitro test systems can be used to identify or validate new therapeutic targets and to test the efficacy, bioavailability and "off-target" effects of drug candidates so that unsuitable drug candidates can be identified or eliminated at a very early stage.
Highly predictive animal models that are closely aligned to the clinical disease situation enable the testing of disease hypotheses, the validation of disease targets and the evaluation of active substances.
An extensive range of human experimental models can bridge the gap between basic research and the clinic, e.g. in pain and analgesic research. There is also a human model for the early detection of psoriatic arthritis using an imaging method.
Core competences:
- In vitro test systems to characterise the bioavailability, »off-target« effects and efficacy of substances
- Cellular, disease-relevant test systems with primary cells from patients or healthy donors
- Pharmacodynamic and kinetic testing of drug candidates in disease-relevant animal models
- Recording of disease-relevant parameters in animal models (e.g. cognitive read-outs, clinical scores, imaging methods, blood and tissue analyses)
- Implementation and development of human pain models
- Implementation and development of clinical models for early disease detection and therapy monitoring