CELLBLOKS® NANOSTACKS™
Enhance drug metabolism studies and safety screening with CELLBLOKS® 3D Stack Liver-on-a-chip models
CELLBLOKS® Liver models
Drug-induced liver injury (DILI) remains the leading cause of attrition in all phases of clinical trials and the primary cause of post-market drug withdrawal. Our CELLBLOKS® liver-on-a-chip models are the only industry-compliant platforms that combine high-throughput capability with in-vivo relevance. Featuring precise 3-D structural arrangements of various cell types resembling liver structure, our models promote intercellular communication and in-vivo-like metabolic function, enabling the prediction of adverse drug effects with exceptional accuracy. With our technology, you can generate high-quality, human-relevant data in a rapid, cost-effective manner
Benefits
Physiologically relevant
Constitutes key liver cell types including hepatocytes , fibroblasts and endothelial cells allowing cell-cell interactions
Liver functionality
Enhanced hepatic relevance including increased albumin, urea and Cytochrome P450 production compared to standard hepatocyte mon-cultures
Industry compliant
The platform is designed in a standard SBS plate format compatible with standard imaging and readout equipment
Open access
Direct access to liver cell layers and compounds can be directly added to the model. Each layer can be independetly removed from the model
Ready to use
Use Liver-on-a-Chip model directly after arrival for up to 14 days allowing you to perform your studies straight away
Flow enabled
Use with or without media flow circulation
Optimised cell maintenance medium provided
CELLBLOKS® NANOSTACKS™ Liver model
Enhanced Hepatic Function on 3D Stack Liver Model
Imaging of cells through 3D stacked liver-chip layers
Cells were imaged live on day 3 in stacked layers using epi-fluorescent microscopy (10x magnification). Labling: HUVEC with Cell Tracker (Green, CMFDA), HepG2 cells with Cell Tracker (Red, CMTPX) and NIN/3T3 cells with Hoechst stain. Cells can be easy imaged through layers by standard inverted microscope
Metabolism in HepG2 hepatocytes
CYP3A4 expression levels in monoculture hepatocytes vs. tri-culture stacked set-up in CELLBLOKS®. In HepG2 heptocyes CYP3A4 activity increased 3 times compared to HepG2 monocultures.
Metabolism in human upcyte® primary hepatocytes
CYP3A4 expression levels in monoculture hepatocytes vs. tri-culture stacked set-up in CELLBLOKS®. In tri-culture model CYP3A4 in primary hepatocytes is enhanced by up to 3 times compared to monoculture hepatocytes over the 12 day of culture
Powerful Drug Induced Liver Injury (DILI) prediction capability
CELLBLOKS® 3D stack Liver-on-a-Chip model clearly distinguishes between hepatotoxic vs. their no-toxic structural analogues drugs at clinically relevant concentrations
Hepatotoxicity evaluation (24 h exposure) in CELLBLOKS® NANOSTACK™ based 3D liver model
Hepatotoxic drug-induced toxicity in HepG2 cells can be detected at concentrations < 10 µM over human plasma Cmax levels. The model correctly differentiated the hepatotoxic effects of compounds at high DILI concern (Clozapine, Troglitazone, Trovafloxacin) as opposed to their non-toxic drug analogues (respectively Olanzapine, Pioglitazone, Levofloxacin) at clinically relevant concentrations, therefore demonstrating a robust DILI prediction capability.
Media flow enabled via gravity-driven perfusion
Dynamic media flow around and through the cell-layers enabling continues supply of nutrients and oxygen to the cells replicating liver tissue microenvironment
Liver Models Available
HepG2 3D Stack Models
Perform rapid and reliable drug screening with our tri-culture chip model, composed of HepG2 cells, human endothelial HUVEC cells, and fibroblast cells grown in layered scaffold blocks. This enables high-throughput and reproducible drug screening, allowing for the rapid identification of potential drug candidates.
Primary Hepatocyte 3D Sack Models
Enhance your drug screening results with our primary cell-derived liver model composed of hepatocytes and NPC cells, providing a more physiologically relevant and predictive system for drug safety and efficacy assessment. Try it now and get more reliable and accurate data for your drug development