- Transversal platform incorporating all aspects of metabolic and cardiovascular diseases
Platforms analyzing efficacy and safety on body weight, insulin resistance, insulin secretion, hypertension, cardiovascular dysfunctions, dislipidemia, inflammation and hepatic steatosis represent a unique tool for compound selection, optimization and candidate prioritization. This approach can identify adverse effects that can help to predict potential side-effects, additional efficacy and the safety of drug candidates.
- Radiotracers and kinetic studies: Original tools to predict your competitive advantage and clinical effects:
Mechanistic information provided by kinetic studies overcome the limits of classical surrogate biomarkers for predicting clinical efficacy. Unlike plasma variables, kinetics are similar in different species. Contrary to classical surrogate endpoints, kinetic studies focus on functions and mechanisms which are directly involved in metabolic and cardiovascular diseases.
Accordingly, Physiogenex's in vivo individual-tissue techniques using radiotracers provide critical information on the target-organ distribution of your compound. By evaluating the tissue by tissue impact of your drug candidate in vivo, you will obtain strong efficacy data, identify suspected off-target effects, determine additional efficacy and/or identify adverse effects that would not otherwise have been seen at the preclinical stage
Physiogenex’s platforms provide strategic data for determining your competitive advantage and for rapid decision-making. Moreover, these techniques can be extremely useful for stratifying heterogeneous patient populations, and for selecting the most relevant cellular/ex vivo screening tests.
Physiogenex platforms have been developed to meet industry needs for improving the discovery and preclinical process:
- Ex vivo/in vivo techniques which can be used for rapid and predictive proof of concept and for large-scale screening,
- In vivo techniques which provide strategic key data for clinical development as early as the preclinical stage.



