Abstract Current 2-dimensional hepatic model systems often fail to predict chemically induced hepatotoxicity due to the loss of a hepatocyte-specific phenotype in culture. For more predictive in vitro models, hepatocytes have to be maintained in a 3-dimensional environment that allows for polarization and cell–cell contacts. Preferably, the model will reflect an in vivo-like multi-cell type environment necessary for liver-like responses. Here, we report the characterization of a multi-cell type microtissue model, generated from primary human hepatocytes and liver-derived non-parenchymal cells. Liver microtissues were stable and functional for 5 weeks in culture enabling, for example, long-term toxicity testing of acetaminophen and diclofena...
Inflammation is one of the factors that may increase the sensitivity of hepatic cells to acetaminoph...
Inflammation is one of the factors that may increase the sensitivity of hepatic cells to acetaminoph...
Having the right model for drug screening is essential for predicting compounds that may cause drug-...
Drug-induced liver injury (DILI) is the major reason for failures in drug development and withdrawal...
The liver is a heterogeneous organ with many vital functions, including metabolism of pharmaceutical...
The liver is one of the most studied organs of the human body owing to its central role in xenobioti...
Stem cells are characterized by their self-renewal capacity and their ability to differentiate into ...
The potential for nanomaterial (NM) translocation to secondary organs is a realistic prospect, with ...
In an effort to replace, reduce and refine animal experimentation, there is an unmet need to advance...
The accurate prediction of hepatotoxicity demands validated human in vitro models that can close the...
Microfluidic 3D cell culture is a promising technology for the screening of drug toxicity profiles. ...
Modeling clinically relevant tissue responses using cell models poses a significant challenge for dr...
Introduction In the context of drug development, liver plays a crucial role, and it is primarily in...
<div><p>Modeling clinically relevant tissue responses using cell models poses a significant challeng...
In vitro models of the human liver are important for the following: (1) mitigating the risk of drug-...
Inflammation is one of the factors that may increase the sensitivity of hepatic cells to acetaminoph...
Inflammation is one of the factors that may increase the sensitivity of hepatic cells to acetaminoph...
Having the right model for drug screening is essential for predicting compounds that may cause drug-...
Drug-induced liver injury (DILI) is the major reason for failures in drug development and withdrawal...
The liver is a heterogeneous organ with many vital functions, including metabolism of pharmaceutical...
The liver is one of the most studied organs of the human body owing to its central role in xenobioti...
Stem cells are characterized by their self-renewal capacity and their ability to differentiate into ...
The potential for nanomaterial (NM) translocation to secondary organs is a realistic prospect, with ...
In an effort to replace, reduce and refine animal experimentation, there is an unmet need to advance...
The accurate prediction of hepatotoxicity demands validated human in vitro models that can close the...
Microfluidic 3D cell culture is a promising technology for the screening of drug toxicity profiles. ...
Modeling clinically relevant tissue responses using cell models poses a significant challenge for dr...
Introduction In the context of drug development, liver plays a crucial role, and it is primarily in...
<div><p>Modeling clinically relevant tissue responses using cell models poses a significant challeng...
In vitro models of the human liver are important for the following: (1) mitigating the risk of drug-...
Inflammation is one of the factors that may increase the sensitivity of hepatic cells to acetaminoph...
Inflammation is one of the factors that may increase the sensitivity of hepatic cells to acetaminoph...
Having the right model for drug screening is essential for predicting compounds that may cause drug-...