PREDICTIVE TOXICOLOGY

PREDICTIVE TOXICOLOGY

Liver, heart, kidney and brain drug-induced toxicities currently account for more than 70% of drug attrition and drug withdrawal. Porsolt together with Fluofarma has developed a range of organ-specific cell-based assays to better predict the toxicity potential of drug candidates prior to in vivo studies.

Based on highly predictive cellular models, i.e. primary cell cultures, Fluofarma perform functional toxicity assays and offer to investigate the signaling pathways involved in detoxification and oxidative stress and induced by the drug compound.

PREDICTIVE TOXICOLOGY READOUTS

Cholestasis / Bile canaliculi network

Primary hepatocytes-sandwich configuration PF 3.16
Glutathione (GSH), intracellular GSH content Multiple cellular models  PF 3.28
Steatosis/Lipid, intracellular accumulation: neutral lipids Multiple cellular models PF 3.29
Lipid, intracellular accumulation: phospholipids Multiple cellular models PF 3.30
NAD(P)H / FAD Multiple cellular models PF 3.31
Lysosomal activity Multiple cellular models PF 3.7
Mitochondrial membrane potential Multiple cellular models PF 3.3
Autophagy (LC3B) Multiple cellular models PF 3.17
Neurite outgrowth Multiple cellular models PF 3.6
Cytolysis Multiple cellular models PF 3.4
MRP2 expression measurement Primary hepatocytes -sandwich configuration- hepatic tissue PF 3.5
LDL uptake HepG2 cell line PF 3.10
Histone H2AX phosphorylation Multiple cellular models PF 5.1
Micronuclei analysis Rat blood PF 10.22

ADDITIONAL CAPABILITIES

Acute toxicity Rat - Mouse - Dog - Mini-pig TOX 11
Preliminary chronic toxicity Rat - Mouse TOX 12
pK Multiple species TOX 13